2018 Quanties Nominees

Job Title
SVP, Head of Client Insights & Analytics

Current Employer
OppenheimerFunds Inc.

LinkedIn
https://www.linkedin.com/in/ashishbraganza/

Twitter
@ashishbraganza

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Ashish Braganza is one of the most dedicated, passionate and knowledgeable practitioners of digital analytics I have ever encountered in my career. His most recent achievement was building the analytics practice at Lenovo from $1M/yr to $7M/yr and the team size from 2 to 65 analysts in 6 years. During that time, he developed a data-driven personalization and optimization practice that delivered over $100M in incremental revenue to the business. Perhaps his most innovative and pioneering accomplishment at Lenovo was building an elastic cloud big data platform which now warehouses nearly 1.5 petabytes of data across all touch points of the customer journey. Finally, Ashish introduced Cognitive Analytics to his company, leading the development of conjoint, CLV, NLP, attribution and clustering models that leveraged proprietary machine learning algorithms to deliver a 10% increase in average unit revenue and a 16% increase in revenue for the direct business. Ashish headed Global Business Intelligence at Lenovo and regularly presented findings and results to senior leadership.

Primary Job Responsibilities:
Ashish was primarily responsible for digital analytics, business intelligence, data science, personalization and optimization, audience management and data engineering functions within Lenovo, managing a team of 65 analysts and having oversight of his department's revenue and expense.

Title of Project You Wish to Present at the Quanties Competition:
TBD

Project Description:TBD

Link to Work Sample:
https://wwwimages2.adobe.com/content/dam/acom/en/customer-success/pdfs/lenovo-case-study.pdf

Please share any additional comments
Ashish has spoken publicly at numerous conferences and events, including:

• Adobe Marketing Summit
• eTail West
• DA Hub
• Click Summit
• Predictive Analytics World
• Clicktale Customer Conference
• Shop.org
  Furthermore, he was awarded Marketer of the Month by Adobe in 2013 and has been nominated for several other awards, including:
  • The ANA Genius Awards in Marketing Analytics – Association of National Advertisers
  • Supernova Digital Marketing Transformation Award – Constellation Research
  • Practitioner of the Year – DAA
• Here are some links to a few videos that feature Ashish:
  • https://www.youtube.com/watch?v=m7A9RubgNcY- Lenovo
  • https://www.youtube.com/watch?v=BWTVMlPtGZk- Blueocean
  • https://www.youtube.com/watch?v=PqnesuXiveg- eTail
  • https://www.youtube.com/watch?v=yuRC-v79enc- Clicktale

Job Title
Data Scientist

Current Employer
Analytics Pros

LinkedIn
https://www.linkedin.com/in/luka-cempre-9b5ba71a/

Twitter
https://twitter.com/Lukaslo

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Primary Job Responsibilities:
As a Data Scientist at Analytics Pros, Luka consults on and implements solutions for collection, processing, and reporting needs of our enterprise clients. He leads advanced analytics and cloud trainings on Google’s infrastructure and leads teams on machine learning projects that have had great success predicting and analyzing user behavior.

Title of Project You Wish to Present at the Quanties Competition:
Machine Learning Initiative: Identify WSL Super Fans

Project Description:
Luka lead the Analytics Pros team in combining and cleaning data from WSL’s Analytics 360 account, Facebook and internal systems into a single data warehouse. Then, clustered attributes of unique users were used to identify types and groups of users. The ideal “Super Fan” attributes were modeled with Machine Learning algorithms and used to identify users early in engagement with attributes of the Super Fan for focused marketing.

Link to Work Sample:
https://docs.google.com/document/d/1Y5IRagQ1GNFtd8QUKPZC6yovrgIC18ziShRqwIAAjD4/edit?usp=sharing

Job Title
Associate Director, Analysis & Insights

Current Employer
Cardinal Path

LinkedIn
https://www.linkedin.com/in/alexclemmons/

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Alex is a passionate mentor to his colleagues, clients, and industry partners. He’s a steady hand to guide the analytics process, drawing from years of tried-and-true experience. With his signature humility and humor, Alex tackles the most complex data challenges with confidence.

Primary Job Responsibilities:
Over the past 12 months, Alex has been working across several client accounts, leading a team of analytics practitioners and data scientists by contributing his expertise in many areas:

• As a mentor and trainer conducting dozens of training and education sessions to elevate the knowledge of not just his team, but his clients’ teams as well.
• Conducting deep-dive analysis for Fortune 500 clients. For one client, he collaboratively contributed hundreds of clear, data-driven recommendations over the course of 201.
• Directed analysis and set out recommendations for optimizations of a landing page that led to a 100% increase in form starts and a 50% increase in form conversions for a higher-education client.
• Created custom built engagement scoring models for a client who was looking to track leading indicators of success that may happen multiple visits prior to submitting a lead on the site. The result is a KPI where visitors with a higher score are significantly more likely to convert in a later visit.
• Advocated for customer experience first analytics and conducted several projects that clearly identify customer journey and path to purchase improvements with demonstrable impact on the bottom line.
• Worked across the MarTech stack with expert-level knowledge of Google Analytics, Adobe Analytics, quality assurance, optimization, testing, and data visualization tools.
• Undertaken a strategic project with Cardinal Path to map out a comprehensive digital roadmap that serves to inform all clients across a broad spectrum of digital maturity.

Perhaps his longtime client, a Digital Marketing Director with a Fortune 500 financial services firm, says it best: “Alex Clemmons is an exceptionally talented digital insights and analytics practitioner. He has been a great partner for the past 4 years and during this time our achievements in the b2b finance industry have been tremendous.”

And a former colleague, now working for a competitive firm: “Alex's work in molding new-comers to the analytics space that makes him an influential figure in this industry” Chris, Analytics Manager who credits his career development to Alex Clemmons.

Title of Project You Wish to Present at the Quanties Competition:
Uncovering the Value of Content Using Attribution Techniques

Project Description:
In this project, the client, a Fortune 500 financial services organization, was seeking to understand how content assets drive visitor engagement and conversion. The solution was to build an attribution model to assign value to the various content across their site. This works similarly to traditional attribution, but instead of focusing on marketing channels, we focus on the different assets that users engage with on the website.

Alex’s team started by assessing content paths, conversion points, and segmentations to provide the most useful and most accurate results. Then, they used an attribution algorithm on hit-level data to analyze the results. Once the data was reviewed and interpreted, findings were presented to the client, complete with business implications and recommendations for a clear path to action. Recommendations included impacts for media planning, content development strategies, and on-site personalization to maximize ROI.

The end result takes hit-level data from the client’s Adobe Analytics instance and analyzes common paths that are taken by visitors who convert on the site. But it goes further than looking at just which assets are highly correlated with conversion. Alex and his team built this model to also look at the sequence that visitors are exposed to across these assets. The model classifies content types as Introducers, Influencers and Closers. This allows the client to take the information and input it directly into their recommendation and personalization platform for the site.

The client now has insights to determine the right content for each stage of the customer journey and says this investment is paying off: “Our competitive research indicates that we are leaders in our industry as it relates to digital insights and analytics. We are confident that we will continue to achieve new heights with Alex Clemmons’ expert counsel and dedication.”

Link to Work Sample:
Work samples are confidential. Should this presentation be chosen, we can create dummy data sets to showcase examples. Some examples are shown in this doc:

https://docs.google.com/document/d/1qq9Cd1WC-sMiNEmdOXw9YOuQ_-GNvGCxfDr0xjW7a2I/edit?usp=sharing

Please share any additional comments
Even though this nomination doesn't call for references, when word got out that we would be putting Alex forward for this award, people started asking if they could write a letter of support. It's a testament to Alex's influence and integrity that so many people want to see him recognized for his work. To that end, as promised, I am including to three letters of support from Alex's clients and a former colleague.

As a consultant, Alex delivers comprehensive solutions to his clients and is frequently lauded for “getting things done immediately and getting them done right”. He is a rare triple-threat, able to create executive alignment, build a perfectly-crafted analysis, or deliver a complete Adobe Analytics implementation. Alex is adept at becoming bonded with his client teams and frequently develops mentorship relationships with his clients.

As a teammate Alex is process-driven, organized, collaborative, and multifaceted. He is the type of performer that you want on each project as he is focused on solutions and actionable insights. He has a unique ability to remove roadblocks or challenges that belies his age. As potential Cardinal Path clients’, my teammates were impressed with Alex’s ability to provide a top-notch pitch without acting as a sales person.

It has been a privilege to interact with Alex Clemmons as both a colleague and as a potential client. Alex is an analytics superstar and it is with great pride that I support his nomination for the 2018 Digital Analytics Association Practitioner of the Year Quantie.

Jim Kultgen | Senior Analyst

Alex Clemmons is an exceptionally talented digital insights and analytics practitioner. Alex has been a great partner for that past 4 years and during this time our achievements in the b2b finance industry has been tremendous. With Alex’s expert counsel and dedication we have been able to achieve many significant milestones:

• A client journey KPI framework that helps us measure both client engagement and conversion
• KPI dashboards across our digital and social media channels
• Content attribution analyses that enable us to determine the right content for each stage of the client journey
• Media type analyses to determine the most effective ways to communicate our message to prospects and clients
• A/B and multivariate testing framework that enables us to go from hypothesis to data-driven facts

Our competitive research indicates that we are leaders in our industry as it relates to digital insights and analytics. We are confident that we will continue to achieve new heights with Alex Clemmons’ expert counsel and dedication.

Regards,
Stan Ko | Digital Marketing Director, Insights & Analytics

It was about 4 years ago now that I had first met Alex Clemmons. I was brand new to clickstream analytics at that time; it was a line of work I was intrigued by, but I was unsure of whether it was ultimately the lane in my career I would be staying in long-term. My introduction to clickstream analytics came quickly in the way of 4 training sessions Alex had put together. After these sessions, not only did I quickly feel confident in my ability to derive insights from clickstream data, but I really saw myself as being able to excel in this career path.

During the subsequent months from that point, as an agency-partner, Alex kept teaching and pushing me down the path of becoming a well-rounded analyst, making sure I knew the why and how behind our analytics implementation, so I could better understand the data at my disposal. I've since moved onwards and upwards in my analytics career and can credit Alex with planting those initial seeds that encouraged me to own and grow this skill set. Alex's work in molding new-comers to the analytics space that makes him an influential figure in this industry and someone worthy of the distinction of DAA Practitioner of the Year.

Chris | Analytics Manager

Job Title
Digital Analytics Director

Current Employer
Craftsy

LinkedIn
https://www.linkedin.com/in/erikheim/

Accomplishments:

• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Working with not only his company's management but also the management of the parent company, NBC, Erik provides analytics insights, direction, and value across many corporate layers.

Primary Job Responsibilities:
Director of project management

Title of Project You Wish to Present at the Quanties Competition:
Implementation of Eccomerce Stack

Project Description:
Erik managed a complex implementation integrating Ecommerce and content consumption models for analysis across the organization. His technical sophistication has enabled a wide array of teams—from internal marketing and IT to external advertising agencies

Link to Work Sample:
https://drive.google.com/open?id=1EtU0RPW58sWiG1iphpY4skSFovYss3gA

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Job Title
Senior Director, Global Strategy & Data Science

Current Employer
Coach

LinkedIn
https://www.linkedin.com/in/terrencelai/

Accomplishments:

• Integrated customer segmentation and lifetime transactional data (online and offline) into real-time digital performance data for customer-centric optimizations.
• Democratized digital and customer data with custom-built self-service exploratory platforms.
• Developed or introduced a new KPI or other measure that is being used to drive decisions, including custom multi-channel attribution models.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
In 2016–2017, Terrence migrated the entire global organization of Coach off Adobe and into Google Analytics. This included swapping out their internal database systems, ETL processes & optimization platforms—it also meant that Coach was able to roll up their data globally. Terrence has also tooled Coach's entire digital team with a brand new, custom-built reporting suite, which includes integrated customer segmentation and lifetime transactional data.

Primary Job Responsibilities:
Data science and analytics governance.

Title of Project You Wish to Present at the Quanties Competition:
Global Adobe Migration to Google Analytics

Project Description:
Terrence oversaw the global migration from Adobe to Google Analytics for Coach. The transition gave Coach the ability to roll up their data, globally, and be more nimble with their targeted marketing decisions. As leader of the project, Terrence not only worked with his team at Coach but was (and continues to be) the main point of contact with Analytics Pros for ongoing governance and reporting.

Link to Work Sample:
https://drive.google.com/open?id=1mg4Bnt5m1yXh3CeamPSyYqaPvS_ADwQI

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
https://drive.google.com/file/d/1mg4Bnt5m1yXh3CeamPSyYqaPvS_ADwQI/view?usp=sharing

Job Title
Director, Digital Analytics

Current Employer
Public Broadcasting Service

LinkedIn
https://www.linkedin.com/in/josephmiscavige/

Twitter
@joemiscavige

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:

1. Implemented time tracking for the majority of the PBS KIDS video players across desktop, mobile and OTT which has helped the PBS Children’s Media & Education group understand how users are interacting with content as well as helping to shape product development roadmaps to better support the platforms where users are most engaged.
2. Built and deployed a station-specific dashboard via Google Data Studio, providing stations new local data and insights for the recently launched PBS KIDS livestream service
3. The PBS KIDS digital livestream model that Joe built supports the initial hypothesis behind the decision to launch a 24/7 digital channel: namely, that users who interact with the livestream would be a more engaged user and spend more time, on average, with PBS content
4. The findings from the livestream model were presented to senior management on several occasions. They were also utilized in senior management speaking engagements and interviews.
5. The outcome of the initial dashboard project secured an innovation grant from the Corporation for Public Broadcasting to scale this project to the whole public television system helping stations understand the changing children's audience, measure community impact, and guide local programming and underwriting decisions.

Primary Job Responsibilities

• Develop and execute analytics implementation strategies to measure usage of PBS digital experiences.
• Manage the product lifecycle of digital analytics implementations from developing and maintaining tracking models to performing quality assurance measure implementation
• Create and implement measurement strategy and reporting infrastructure in order to drive site and product improvements.
• Translate digital analytics tracking needs into technical product requirements and document use cases and specifications with a keen eye towards feature evaluation and documentation.

Title of Project You Wish to Present at the Quanties Competition:
Measuring Local Impact: PBS KIDS Digital Livestream Dashboard

Project Description:
How do you provide specific Google Analytics data, which hinges on a specific custom dimension, to a wide swath of users who may not have access to Google Analytics or even if they do have access, don’t understand how to access the specific data that they are looking for? The PBS KIDS station dashboard built in Google Data Studio, provides stations new local data and insights for the recently launched PBS KIDS livestream service. The dashboard demonstrates at the local level how kids who interact with the livestream are more engaged and spend more time with PBS KIDS content, increasing their opportunities to learn.

Link to Work Sample:
https://drive.google.com/file/d/1dpJw1KuJjNiDgFlF-WPeMA0M1zWUuBNm/view?usp=sharing

Please share any additional comments
In addition to his work at PBS, Joe also serves as on of the DAA DC Chapter leads.

Job Title
Analytical Lead

Current Employer
Google Inc.

LinkedIn
www.linkedin.com/in/rishie-narula-469b0421

Twitter
https://twitter.com/@thesarcasticbum

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Modern Search best practices can be overwhelming and advertisers face challenges in prioritizing these tactics. Analysts/Digital Marketing experts can use this calculator to determine the overall impact that an advertiser can achieve with modern search.

Primary Job Responsibilities:
Specialist on Digital Measurement

Title of Project You Wish to Present at the Quanties Competition:
Modernize Your Search

Project Description:

Link to Work Sample:
https://drive.google.com/file/d/1hRoBHtwIvAHEdZoYM1wAHxgwHYW5JlUJ/view?usp=sharing

Job Title
Vice President, Analytics and SEO

Current Employer
Mower

LinkedIn
https://www.linkedin.com/in/maryo

Twitter
https://twitter.com/AnalyticsMary

Other Public Profile
maryowusu.com

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
In this fast-paced digital world filled with buzz words like big data, AI, data mining, RankBrain, machine learning, etc. Mary has developed a one-sheet measurement roadmap that helps marketers pinpoint exactly what data is useful to their specific business needs and how to translate that data into the desired business outcomes that matter to the executive team.

Often referred to as a marketing plan on steroids, her innovative marketing Success Plan allows marketing and communication leaders across all sectors to overcome the age-old challenge of quantitatively proving marketing’s contribution to business outcomes that matter to the C-suite. The framework effectively bridges the gap between marketing and analytics while identifying and removing any technical, operational and administrative barriers to success. She's often found on stage at national conferences such as the ANA Masters of Marketing conference alongside speakers from Google, Adobe, Xerox and IBM, speaking to marketing leaders about the power that the Success Plan has to steer organizational strategy in a way that transforms the world around them while empowering their employees and giving back.

Primary Job Responsibilities:
Mary Owusu leads the analytics and organic search (SEO) disciplines at Eric Mower + Associates. With a strong background in performance measurement, Mary specializes in translating complex data into conversations about the trends and behaviors happening within a marketplace, then provides a roadmap of how businesses can use those insights to gain a competitive advantage. Her past and present client list includes Ford, Chiquita Banana, Truly Good Foods, Welch Allyn, and Siemens.

Title of Project You Wish to Present at the Quanties Competition:
THE ONE-SHEETER THAT EVANGELIZES ANALYTICS LIKE A G!

Project Description:
Meet the Marketing Success Plan. The one-sheet measurement roadmap used to align your marketing efforts to your desired business outcomes, while identifying and removing barriers to marketing success.

Link to Work Sample:
https://drive.google.com/file/d/1tniVYjcX8exFOB5Unzg10iNdC83FER9y/view?usp=sharing

Please share any additional comments
Mary is dynamite! She a big personality with an always-on brain. Wait till you meet her.

Job Title
Senior Director & Head of Decision Science

Current Employer
Glassdoor

LinkedIn
https://www.linkedin.com/in/salim-parpia-103a33/

Accomplishments:

• Analyzed optimization testing results using statistical methods
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Salim helped manage the Manhattan Project which is a national campaign: seeking to understand if advertising in TV is worth the investment. He's also in charge of filling and onboarding an impressive headcount at Glassdoor.

Primary Job Responsibilities:
We work with the Product team to build and refine data products, such as personalization to power the site and internal products, such as fraud detection, to improve our business efficiencies We work with Sales team to score and prioritize leads We work with the Marketing team to build media models, optimize spend to increase pipeline We work with the Marketplace to understand elasticity of supply and demand

Title of Project You Wish to Present at the Quanties Competition:
The Manhattan Project

Project Description:
The Manhattan Project sought to understand the value of investing in television advertising.

Link to Work Sample:
https://drive.google.com/open?id=1y6ZjaA-y3-lpEFiOXvbXPk408lLNOUm6

Please share any additional comments
This is an interview with Salim about the skill and talent on his team at Glassdoor: https://www.glassdoor.com/blog/decision-science-team/

Job Title
Founder, President, Analytics & CRO Director at Analytics Boosters Srl

Current Employer
Analytics Boosters Srl

LinkedIn
https://www.linkedin.com/in/enricopavan/

Twitter
https://twitter.com/@indioimperator

Other Public Profile
https://www.facebook.com/consulentecroanalytics/

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
I developed a new KPI able to help my clients during the restyling of their website to better understand how the site was browsed by users. In particular the goal was to distinguish between laptop and desktop users and gather data through Google Analytics.

I split the desktop traffic between desktop computers vs laptop computer based, on the battery energy level. In order to obtain the information I developed and customized a script to meet specific customer’s requests. You can see more at the following link https://www.analyticsboosters.com/cro/how-to-track-if-the-device-is-a-desktop-or-a-laptop/

All testing experiments I run daily are measured using statistical confidence by Z-test. This helps me to produce effective recommendations and improve the projects I’m in charge of. I also use R for statistics in order to generate predictive models and calculate the potential improvement coming from the test.

I developed a work flow based on the following steps: assessment, audit, Business Requirements Document draft to meet the client’s needs, Solution Design Document (which includes all the tracking scripting to meet the business requirements), and Q&A to achieve the correct data retrieval. All documents - structure and contents- have been drawn up by me.

Analyzing data I use the findings to create a correlation model based on specific bundle of products that significantly increased the conversion rate.

Mentoring and training is great part of my daily work. I mentored analytics sessions during Italian events such as Web Marketing Festival, Search Marketing Connect, Emetrics Summit, Marketer’s Festival and SEM Rush webinar, as well as at the University of Padua for the Economics MBA. I held analytics training courses for my clients and side-by-side coaching sessions to help them in order to achieve a greater knowledge of analytics tools and analyze data before taking marketing decisions.

Primary Job Responsibilities:
Founder and President at Analytics Boosters SRL, Analytics & CRO Director

Title of Project You Wish to Present at the Quanties Competition:
Toast your CRO: how to increase sales and engagement

Project Description:
CRO is a mix of creative cues and techniques to reach the goal of increase sales. The project achievements are the result of all the different smart ideas and advanced data tracking and analysis put in place to increase the sales of the Italian craft beer company, 32 Via dei Birrai, which launched the new e-commerce site in early 2017 (www.32viadeibirrai.it).

To raise the bar, the implementation of the scripting was complicated by the fact that I could not access to the server side of the website. In the documentation you’ll find the solutions put in place to overcome the constraints to achieve the optimal level of tracking information.

All the optimizations achieved the result of increasing sales by more than 100%, with a double digit increase of the average order value.

Link to Work Sample:
https://drive.google.com/open?id=1Zrn92w2NQGxfHe1caAHHWE9tv-Gv7LNa

Please share any additional comments
Looking forward to take part to the competition! :)

Job Title
CEO and Chief Analyst

Current Employer
SmartCurrent

LinkedIn
https://www.linkedin.com/in/judahphillips/"

Twitter
@judah

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions?
• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Primary Job Responsibilities:
CEO and Chief Analyst

Title of Project You Wish to Present at the Quanties Competition:
Enabling Machine Learning and Data Governance for the largest companies in the world

Project Description:
How does one enable machine learning and data governance across the world’s largest companies? The world’s largest companies reach out to Judah to help them operationalize machine-learning and AI while focusing on governing the underlying data and supporting systems and their users. Learn how it’s done from someone who does this work every day, teaches at the world’s leading schools, and has written three books on the subject.

Link to Work Sample:
On request

Job Title
Senior Director, B2B Marketing and Customer Insights, Adobe

Current Employer
Adobe

LinkedIn
https://www.linkedin.com/in/georgesadler/

Twitter
https://twitter.com/georgesadler

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Team improved website visitor detection rate (including mapping to sales accounts in CRM) from average (18%) to industry leading (40%) in 2017. Leveraged industry-standard third-party data along with unique and previously unexplored first-party data sets

Primary Job Responsibilities:
Global leader Enterprise Marketing and Customer Insights team

Title of Project You Wish to Present at the Quanties Competition:
Adobe on Adobe: Leveraging Web Behavioral Signals for Lead Scoring

Project Description:
Leveraging account-level web behavioral signals to improve website personalization, marketing effectiveness, and marketing lead scoring

Please share any additional comments
Had a patent awarded when at Dell: “WEB ANALYTICS NEURAL NETWORK MODELING PREDICTION”
(Patent# 9384444)
https://assignment.uspto.gov/patent/index.html#/patent/search/resultAbstract?id=9384444&type=pat

Company URL
http://xplain.co

LinkedIn
https://www.linkedin.com/company/xplain/

LinkedIn
@x_plain

Has this new technology been publicly available for less than 12 months from June 12, 2018?
No

Release Date:
01/01/2017

Technology Description:
Real Time in Real Life! A new AI Platform that harvests daily users' conversations and extracts actionable insights for marketers

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Delivered across 81 countries for Pepsi, 7Up, Mountain Dew, Drinkfinity (PepsiCo Brands)

Please provide an explanation of why this technology is notable for the analytics industry.
We have created a unique combination of AI technologies, unbiased consumer online conversations harvesting, marketing and deep learning insights.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
https://we.tl/JccYIPI93X

Company URL
www.cognetik.com

LinkedIn
https://www.linkedin.com/company/3772508/

Twitter
https://twitter.com/cognetik

Has this new technology been publicly available for less than 12 months from June 12, 2018?
No

Release Date:
3/18/2017

Technology Description:
Cognetik’s Cloud Connector is available for free to the benefit of marketers and analysts worldwide, allowing them to easily connect Tableau to their cloud analytics and marketing data. Cognetik’s Cloud Connector is the only free tool to connect Tableau to Adobe Analytics, Facebook Ads, Facebook Pages, AdWords, Bing Ads, Kochava, Doubleclick and YouTube. Analysts can use different calendars (Standard Gregorian, Retail-NRF or Custom), use customized date expressions, extract their data at any chosen granularity, join data from multiple data sources, preview all data extracts and also automate refreshes on Tableau Server.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Over 1,000 companies across the globe, from Argentina to New Zealand, use the Cloud Connector for Tableau, including many of the Fortune 1000.

Please provide an explanation of why this technology is notable for the analytics industry.
Cognetik’s Cloud Connector is the only free product on the market that connects Tableau to Adobe Analytics, Facebook, Google AdWords, and many more data sources. This is a huge time savings for analysts since they no longer need to import spreadsheets. Users can also keep their data fresh in real-time with Tableau Server auto refreshes.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
http://www.cognetik.com/cloud-tableau-connector
https://blog.cognetik.com/2017/06/12/the-free-cognetik-cloud-connector-saves-time-and-helps-marketers-uncover-new-insights-in-tableau/
Cognetik.zendesk.com

Please share any additional comments
Clarification on release dates:

• Closed beta release during Adobe's UnSummit event in March 2017.
• Product was out of beta since mid-June 2017

Company URL
http://www.contentwrx.com

LinkedIn
https://www.linkedin.com/company/722317/

Twitter
https://twitter.com/contentscience

Has this new technology been publicly available for less than 12 months from June 12, 2018?
No

Release Date:
02/15/2018

Technology Description:
ContentWRX is a Software-as-a-Service designed to make evaluating content effectiveness faster, easier, and more reliable. ContentWRX combines the collection of Voice of Customer data and web analytics to offer a comprehensive view of your content’s overall effectiveness. Our latest release dives even deeper into the performance of individual pieces of content, and provides automated analysis that helps you better understand what’s driving user sentiment towards your content.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
ContentWRX recently reached an exciting milestone, collecting content effectiveness data from over 100,000 people. To celebrate this milestone, we performed detailed analysis on the elements of content that drive great experiences – you can see our insights here

Please provide an explanation of why this technology is notable for the analytics industry.
ContentWRX offers evaluations to better understand the effectiveness of many content types - from thought leadership to support to sales. These evaluations offer a wealth of insight: the ContentWRX Score offers a catch-all KPI to speak to content’s overall impact, but the different components that feed into the score offer users a chance to better understand what’s really driving your impact. ContentWRX offers hard data that allows clients to better understand six dimensions of content effectiveness:

• Discoverability/Findability
• Accuracy
• Polish
• Relevance
• Usefulness
• Influence

Because ContentWRX also captures details about a user’s session on the client’s website the software can determine not just how the entire content set performs along each dimension, but also which individual content pieces are influencing user experiences. Our new sentiment analysis features dive even deeper to understand how users feel about the content, and the software performs automated analysis to determine what’s driving both positive and negative experiences. By measuring and collecting all of these elements that add up to a content experience, ContentWRX provides a comprehensive view of content effectiveness. The software provides automated recommendations based on your results, empowering your organization to immediately take action to increase your content’s impact.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
An overview, one-pager, and a whitepaper about using ContentWRX for content evaluation can be found here: https://www.dropbox.com/sh/7jfq9jack7wtqyl/AACtrmcpLfCXZ6ZufPA5vx13a?dl=0 You can also learn more about the software here: http://contentwrx.com/

Please share any additional comments
ContentWRX represents an exciting opportunity to complement basic content analytics like web reporting perception data from your actual users. Finally, you won't just know what your users do with your content - you'll know why.

Company URL
www.cognetik.com

LinkedIn
https://www.linkedin.com/company/3772508/

Twitter
https://twitter.com/cognetik

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
10/12/2017

Technology Description:
Cognetik’s Data Streams product is a free data integration tool that connects your Cloud Data to any Data Warehouse. Users can send data from Adobe Analytics or Facebook to Amazon Redshift, Snowflake or many other data warehouses, on a recurring schedule or a 1-time transfer. Data Steams is not only free but connects to any BI tool: Tableau, Qlik, MicroStrategy, Domo, Looker and more.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Over 100 companies across the globe use Data Streams, including many of the Fortune 1000.

Please provide an explanation of why this technology is notable for the analytics industry.

• Free data integration tool.
• Supported Cloud Data Sources: Adobe Analytics, Doubleclick, Google Analytics, Google AdWords, Facebook Ads and Pages, Bing, Kochava and YouTube.
• Supported Databases: Amazon Redshift, Snowflake, MS SQL, MySQL, Teradata, Postgres and Google BigQuery.
• Supported BI tools: Tableau, Qlik, MicroStrategy, Domo, Looker and more.
• Preview Data Streams: You can preview the data before you start the transfer to make sure you’re loading what you expect.
• Custom Mapping: Define how your data is mapped into your target data destination.
• Scheduled Streams: Set the time, day and cadence you want your data transferred with custom scheduling.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
cognetik.com/data-streams
Cognetik.zendesk.com

Company URL
http://www.dxilogy.com

LinkedIn
https://www.linkedin.com/company/DXILLC/

Twitter
http://twitter.com/TryDXI

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
10/20/2017

Technology Description:
DXi is a Proprietary Machine Learning (ML) platform that measure, quantify, find hidden patterns and identify relationships in the user interaction data on the websites.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Paid Customer – 1 Trial Customers - 12

Please provide an explanation of why this technology is notable for the analytics industry.
This technology extends Digital Analytics capabilities by using machine learning. Its algorithms help marketers quickly analyze the data and provide information that help them faster insights. Using Dxi, marketers can segment customers and prospects (individual level) into groups based on their propensity to convert. It also identifies factors that influences a visitor into becoming a customer.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
https://drive.google.com/open?id=0B7q6SNHOC0y4d0JsRVJhT2hzWTA

Company URL
www.blueoceanmi.com

LinkedIn
https://www.linkedin.com/in/poonam-dave-8745762/

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
10/23/2017

Technology Description:
fredaa™ Creative Testing is a revolutionary AI driven, cloud-based ad pre-testing platform. It is a self-service platform that allows marketers to test their creatives and get a clear validated Go/No Go decision on the creatives before launch. Built with deep business understanding of multiple industries, fredaa Creative Testing allows users to set up and customize a test rapidly with an exhaustive bank of questions, global consumer panel choices and advanced visualization formats. Users can easily track progress of their studies real time and slice and dice data for further insights & generate automated reporting. fredaa™ makes creative testing easy and efficient, improving your investments on creative campaigns right from the moment of launch.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Successful demonstration of the product resulting in pilot projects for 4 clients

Please provide an explanation of why this technology is notable for the analytics industry.
The effectiveness of insights in meeting business objectives depends on the quality of data collected, the analytics applied and the ability to slice and dice data for deeper learnings. fredaa™ Creative Testing expedites and improves the creative testing process on all three fronts –

With the inbuilt question bank, the platform automatically stitches together an optimal question set mapped to business objectives.

Data collected from panel partners is dynamically processed using advanced analytics and artificial intelligence, in the context of business objectives and past and present industry benchmarks as relevant.

The platform also allows researchers and analysts to look deeper into the data through advanced slicing and dicing options. An instant Go/No Go verdict is backed by several visualization formats that allow users to quickly access and assimilate report data that could be useful in tweaking the creative or the targeting. fredaa™ makes high quality analytics easily accessible for business.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
https://app.box.com/s/gjrz6a5b77o5muv4hdbkd97evaoi0exv

Company URL
http://www.hub-scan.com

LinkedIn
https://www.linkedin.com/company/hub-scan-inc/

Twitter
@hubscan

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
01/10/2018

Technology Description:
The Hub'Scan quality digital marketing data quality assurance platform now offers a set of features to validate a website's tracking compliance with the European GDPR regulation.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Available to Hub'Scan "friends and family": select customers, solution partners

Please provide an explanation of why this technology is notable for the analytics industry.
The European General Data Protection Regulation comes into effect on May 25th, 2018. Companies who collect data about online users need to ensure consent is specifically given for each data category by usage (analytics, ads, social networks, retargeting...) Failure to comply with GDPR requirements can expose companies to lawsuits, with a penalty of up to 4% of their global revenue. Using a feature such as GDPR Audit by Hub'Scan is a fast and reliable solution to ensure compliance with GDPR, ensure you only collect the right data from your online users.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
Hub’Scan website: http://www.hub-scan.com

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
Hub’Scan website: http://www.hub-scan.com
Supporting material: http://www.hub-scan.com/download/22716/

Company URL
www.google.com/analytics

LinkedIn
https://www.linkedin.com/showcase/10476436/

Twitter
@googleanalytics

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
04/30/2018

Technology Description:
Google Data Studio empowers marketers and analysts to make better decisions by easily accessing siloed data and creating beautiful, dynamic reports and dashboards that can be shared across the organization.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Numbers are confidential.

Please provide an explanation of why this technology is notable for the analytics industry.
Google Data Studio allows non-analysts (marketers, executives, agencies) to access previously important data without being experts in the tools and data sets. Data Studio reports are interactive and dynamic for the user and easy to connect to the data, create, and share, for the creators. As a result, Google Studio democratizes data and empowers analysts to do more and have a greater impact on their organization.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
Website
Help Center
Report Gallery

Please share any additional comments
Product is currently in beta, general availability date is estimated but will be before the awards.

Company URL
www.iihnordic.com

LinkedIn
https://www.linkedin.com/company/iih-nordic/

Twitter
@IIH_Nordic

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
11/01/2017

Technology Description:
Speed up your website and increase conversion rates by predicting where a user will browse in real-time using your analytics data, then prefetching resources before they visit the next page.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
4 proof-of-concept subscriptions in Denmark serving ~2-3 predictions per second, improving average website page load by ~20%, decreasing average session time to purchase by 30 secs powered by a 50% saving on page load time for an accurate prediction. Conversion rates as a result are improved by ~25%.

Please provide an explanation of why this technology is notable for the analytics industry.
Using Machine Learning on top of traditional analytics data to automatically improve site speed by radically increasing the precision of prefetching (the ability to estimate what page the user will go to next). All on-site implementation can be done by adding a script to a tag management system – no resources required once the system is up and running. Deployment times under 1 month due to being able to deploy through cloud technologies, but majority of this time is the ML algorithm getting to know your data.

It uses a tag manager to actively improve a website rather than passive recording; it uses existing web analytics systems to provide a tangible benefit to the client's bottom line; it utilizes the Google Cloud platform to deploy machine learning at scale that can scale from 0 to billions of predictions.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
Please follow this link: https://we.tl/T90rg21wMS

Company URL
https://www.observepoint.com

LinkedIn
https://www.linkedin.com/company/observepoint/

LinkedIn
@ObservePoint

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
03/27/2018

Technology Description:
Thanks to its powerful and comprehensive newly engineered Assurance Platform, ObservePoint helps companies build, monitor and manage their data collection strategy across all platforms, from simple websites or Apps to complex digital ecosystems comprised of e-commerce platforms, social networks or video platforms. More than ever, Chief Data Officers, digital analysts, digital project managers and business owners need targeted information and data accuracy to manage their business model shift or to build and secure their digital strategy. The capacity to handle end-to-end business models is now critical to produce actionable insights while securing GDPR compliance. The new ObservePoint Assurance Platform helps build data collection strategies and models, as well as monitors tag and data compliance, to overcome the pain of unmanageable high frequency changes in content and campaigns or new releases.

The new ObservePoint Assurance Platform is comprised of multi-patented technologies and solutions dedicated to:

• Deploying online business strategies and applying business goals with our unique integrated tagging plan and business rules model
• Preparing data relevance through our smart user journey management
• Monitoring data collection with our new tagging compliance and efficiency engines
• Managing data governance in our fully customizable report suite and notification center.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
ObservePoint technologies are used by tens of thousands users in the world. The current ObservePoint SaaS Platform is widely used by hundreds of companies, including many Fortune 500 businesses, thousands of brands in the world, and numerous major digital agencies. In March 2018, Adobe, partnering with ObservePoint, will launch Adobe Auditor powered by ObservePoint, the first digital analytics audit solution embedded in the widest adopted professional digital analytics solution: Adobe Analytics. This partnership brings the power of ObservePoint to exponentially more users, as the ability to audit their Adobe Analytics implementations will no reside within the Adobe Marketing Cloud.

Please provide an explanation of why this technology is notable for the analytics industry.
The ObservePoint Assurance Platform delivers the best aspects of innovation and iteration to the core values that ObservePoint has long provided to the analytics industry. The following points highlight these improvements and new technology offerings:

• The ability to audit digital property pages even more quickly than before. The new ObservePoint Assurance Platform can audit thousands of pages in minutes, providing analysts insight into the performance of the data collection technologies at record speeds.
• More customized reporting empowers analysts to communicate reports, in real time, in ways that will better engage other stakeholders in the organization with increased visualization and data sets selection abilities.
• Robust API to increase ease of use and efficiency.
• Audit-based tag hierarchy system shows analysts quickly, and visually, the relationship of all technologies on their digital properties.
• Persona-based audits and journeys in the new ObservePoint Assurance Platform bring deeper levels of insight to analytics teams than ever before. While ObservePoint has always provided the critical value of audits and journeys, the new platform now also offers the ability for ObservePoint users to validate the same audits and journeys from the perspective of different personas as defined by account users. This will provide analysts even deeper insight into how their technologies are performing, and how various personas experience these levels of performance.
• Advanced notification system: one of the most requested and critical elements in the new platform, the new advanced notification system will empower analysts to communicate quickly across the organization to multiple teams anytime there is a problem with their MarTech implementations. This will increase workflow value and efficiency for analysts using ObservePoint exponentially.
• Advanced permissioning outlines provided in the new ObservePoint Assurance platform enable analysts to leverage customized access to various reports and user settings within the ObservePoint platform. In providing greater access to analytics insight across their organization, analysts will continue to champion the importance of digital analytics and the mission critical value analytics teams provide today’s organizations.
• Tagging Plan feature is one of the most exciting and innovative elements of the new ObservePoint Assurance platform. Creating dynamic, accessible analytics documentation (also called SDR, tagging plan, etc.) has long been a pain point in the industry, Tagging Plan continually records and updates analytics documentation based on audit scan results.
• A new, robust rules library lets users create complex rules across a digital property, and is critical in helping organizations ensure their data collections are not only performing as expected, but are also compliant with new privacy and data laws legislation, like GDPR.
• Real Device Connect: ObservePoint’s solution for real-time tech implementation validation for Over-the-top (OTT), mobile, desktop and web technologies. The ability to run against ObservePoint’ robust rules engine makes this the first real-time, specified, validation technology for real device testing available anywhere.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.

Product documentation and links relevant to ObservePoint Assurance Platform are currently in development and can be provided upon request at the end of February 2018.

Please share any additional comments
ObservePoint Inc. was founded by Omniture Founder John Pestana and digital marketing veteran Rob Seolas. Because of their experience and proven track records in the digital industry, they had a better sense of the growing impact of tagging compliance and data governance issues than anyone else. ObservePoint is the first company to identify, produce and deliver a tag and data collection fixing model based on an industrial approach. Hundreds of companies, thousands of brands, and tens of thousands of users rely on ObservePoint solutions every day to manage critical situations in data collection and governance. Today, thanks to its new Assurance Platform, ObservePoint is now the definite leader--in terms of technology, best practices and business process--in data governance and management for online digital ecosystems.

Moreover, ObservePoint stays in front of the competition by anticipating market evolution and business needs and subsequently making its platform continuously compliant with end-to-end business needs and digital paradigm shifts. This forward-thinking strategy ensures ObservePoint partners and customers the most success in their markets. The most advanced digital agencies have chosen ObservePoint as their technology partner because of their unique approach, model and solution. The new ObservePoint Assurance Platform provides these agencies with valuable differentiating factors that help them delivering a better service at a faster pace. ObservePoint’s partners can now focus on higher value consulting services, while using the power of ObservePoint to automate and validate their clients are collection reliable data. These advantages also apply to technology partners. For example, Adobe chose the ObservePoint solution to power the Adobe Auditor engine embedded within Adobe Analytics, making it the only digital analytics vendor on the market to offer embedded tag and data compliance monitoring.

Company URL
Google.com/analytics

LinkedIn
Submitter: https://www.linkedin.com/in/kristaseiden/

Twitter
Twitter.com/googleanalytics

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
Confidential

Technology Description:
The New Google Analytics 360 Feature (official name forthcoming) is a set of new tools in Google Analytics that allows Google Analytics 360 customers more flexible and user-centric analysis of their data. This feature takes exploration of GA data to a whole new level with the detail, depth, and ad-hoc nature of analysis it allows.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
All Google Analytics 360 users. Google Analytics is the #1 adopted Analytics product across the web.

Please provide an explanation of why this technology is notable for the analytics industry.
The New Google Analytics 360 Feature (official name forthcoming) takes Google Analytics/web analytics analysis to a whole new level. The industry has been in need of a more flexible, user-centric, and in-depth analysis tool for a long time, and this feature closes this gap through data exploration, segment exploration, and funnel analysis with new reports, functionality, and ability to view individual underlying users within Google Analytics. Some might say it's an analysts dream :)

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
These are not publicly available at this time.

Please share any additional comments
This product is awesome! It will truly shift and change the way our vast GA user base uses and analyzes data, and we couldn’t be more excited about sharing it with everyone. The New Google Analytics 360 Feature (official name forthcoming) is an empowering tool that assists the analyst in you!

Company URL
http://www.impactanalytics.co/

LinkedIn
https://www.linkedin.com/company/4867362/

Twitter
@Impact_Analytic

Has this new technology been publicly available for less than 12 months from June 12, 2018?
No

Release Date:
06/01/2016

Technology Description:
Promo$mart is a web-application based decision-making, marketing analytics solution for merchandizers and marketers. It helps digitize the promo calendar, allows merchants and manufacturers to input new promos, analyze historical promos and optimize new ones. The product analyzes multiple metrics to determine the net impact of each promo at an SKU level. It evaluates secondary effects of promotional campaigns (halo, affinity, cannibalization, pull-forward) and provides conclusive evidence of a promos net failure or success. The insights provide bargaining power to the retailer in negotiating the share of discount the manufacturer must support while ensuring a positive margin impact from all promotions. The tool can be customized to provide SKU, category, department-level aggregated numbers as well as daily, weekly, monthly, quarterly insights based on the retail cycle. Additionally, the application integrates with any legacy, modern or cloud based infrastructure to ingest data and keep the analysis current. Product placement is another variable that is taken into account when measuring promo efficacy. ML based automation of model refreshes and updates is another key aspect of making this tool adaptable to multiple businesses

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
- $4-5Mn margin impact created at multiple clients through the tool - More than 10,000 promotions optimized through the tool in a short period - 100,000+ SKUs on promotion analyzed - Used by more than 500 manufacturers to input their promo data - Used my 20+ category managers today - 100s of promo calculations at SKU level can be done in minutes. The tool also allows merchants to better negotiate vendor / manufacturer funding as well as use these promo dollars in an optimal manner.

Please provide an explanation of why this technology is notable for the analytics industry.
This technology "productizes" the promo optimization process and ensures that this is not a one time activity but a continuous process followed by merchandizers throughout the year. This technology ensures that clients understand that analytics is not a one time fix but an ongoing process. Advanced modeling and ML techniques are used which showcase the analytics tool set used. The tool is able to capture complexities like non-promo baselines, overlapping promos, dirty data, etc. to show real $ value.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
https://drive.google.com/open?id=1qMiGyqezlH6xxBv_I32DsTAPKBwREwxQ
https://drive.google.com/open?id=1t_ONQcItZiSUuIFsmUWtFT2n0BmK5usP

Company URL
www.atinternet.com

LinkedIn
https://www.linkedin.com/company/215812/

Twitter
https://twitter.com/AT_Internet

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
02/15/2018

Technology Description:
Our RFM module is the best illustration of the significant turn the new Analytics Suite 2 has taken towards proactively providing actionable insights. Recently praised in the “The Forrester Wave™: Web Analytics, Q4 2017” report from Forrester Research, Inc., the Analytics Suite 2 addresses the most advanced customer journey issues (cross-device, cross-site, navigation paths, etc.) in a very intuitive way. It’s designed to allow deep dives and provide a detailed understanding of your audience and digital ecosystem efficiency. With the RFM Module, the solution goes even further by infusing a fully automated process, data science and the proven marketing segmentation methodology RFM: Recency-Frequency-Monetary. Through a smart, large-scale and fully automated process tailored to our clients’ businesses, RFM identifies the key profiles within your customer population. RFM will quickly pinpoint and highlight the customers with the highest level of churn risk as well as the most valuable customers with the highest potential. The RFM module lets you closely track the evolution of each segment of your customer population and take the appropriate actions. Fine-grained predictions enable you to efficiently refine your targeting strategy.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
As it is an early beta version, it has been neither publicly promoted nor actively sold. However, early client feedback during tests and early product presentations has been overwhelmingly positive. In the coming months we will have more information and figures to share as clients adopt the product.

Please provide an explanation of why this technology is notable for the analytics industry.
With RFM, we literally reverse the analytical process which has traditionally been based on a creating hypotheses which clients then use digital analytics solutions to answer. This is time consuming and resource intensive. Here, the insights are automatically generated and ready to use in an intuitive interface: no advanced data science skills, time, IT resources needed. We fuse together best-in-class statistical techniques, proven marketing technologies and valuable digital marketing data to output novel insights founded on up-to-date and reliable information for our clients. We provide the latest predictions on customer segments relevant to them based on models adapted to the nature of their business.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
Please find a one page description of the product attached. In addition, a video demonstration (private link) of the tool can be found here: https://www.youtube.com/watch?v=M15APzO_ktU

As the RFM module is an early beta version, we have not yet made any product materials public, but we would be more than happy to give a live demonstration and share the first version of our public documentation as soon as it is available.

Company URL
https://snowplowanalytics.com

LinkedIn
https://www.linkedin.com/company/snowplow-analytics-ltd/

Twitter
@snowplowdata

Has this new technology been publicly available for less than 12 months from June 12, 2018?
No

Release Date:
02/21/2012

Technology Description:
Snowplow is a data collection platform. Companies use Snowplow to:

1. Collect granular, highly structured data across all their platforms and channels, including web, mobile, server, TV, IoT, display ads, email.
2. Validate, enrich and model that data.
3. Deliver that data directly into their own data warehouse, enabling them to join that data to other data sets, build a single customer view and perform advanced analytics on that data.
4. Deliver that data directly into a unified log, enabling them to build applications that consume and act on the data in real time. (Including marketing automation, personalization and health monitoring.)

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Snowplow is an open source platform so it's hard to ascertain exact user numbers. According to builtwith.com:

• 2.6% of the top 10,000 websites (according to Quantcast) use Snowplow
• 0.9% of the top 100k websites
• 1.1% of the top million websites
• 0.2% of the websites on the entire internet

More than 100 companies pay for Snowplow Insights, the paid version of the open source platform.

Please provide an explanation of why this technology is notable for the analytics industry.
Snowplow is unique for a number of reasons:

• It enables companies to collect and own their digital data (web, mobile, IoT etc.) The entire data collection and processing pipeline runs on their own environment rather than being hosted by the analytics provider. They are the only people who have access to it: this is critical from a data protection perspective.
• Because each client has their own data processing pipeline, Snowplow provides unparalleled flexibility to enable companies to define their data structure (i.e. the events and entities that they wish to track) and their own processing rules. (E.g. their own definitions for identifying users across platforms and channels, dividing journeys into sessions and categorising and aggregating over those user journeys.) An online bank running Snowplow will collect a data set that looks totally different to an online dating site, health and fitness application or jobs board.
• The Snowplow analytics stack evolves with the business. As the customer journey changes (e.g. because the mobile app or website evolves), and the business becomes more sophisticated, it's possible to update the tracking implementation and the data processing rules so that the current data being collected reflects the current customer journey and the current questions that the business seeks to answer, no old data is lost and the complete data set can be reprocessed according to the new rules. This is essential for any business that is rapidly evolving. (And who isn't today?) But this is not something that's natively supported by any web or mobile analytics application we're aware of.
• Because all the data is stored in a data warehouse, it's possible for companies to meet their obligations under GDPR e.g. removing lines of data related to customers who have requested to be "forgotten".
• The complete data set that's available in the data warehouse is available in real-time so that it can be consumed by real-time data-driven applications. This means that companies can not only use the data to build insight but act on it in real-time.
• The technology is linearly scalable: it makes it possible to collect, process and store billions of events (hits) per day.
• The technology is open source: any company can take it and set it up for themselves. Any company running Snowplow therefore fully owns both the data collected and the technology that's used to generate, process and store the data.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.

• Snowplow website: https://snowplowanalytics.com/
• Source code: https://github.com/snowplow/snowplow
• Snowplow case studies: https://snowplowanalytics.com/customers/
• Snowplow users: https://snowplowanalytics.com/customers/trusted-by/

Company URL
https://tealium.com

LinkedIn
https://www.linkedin.com/company/tealium

Twitter
@tealium

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
01/01/2018

Technology Description:
Built on top of the omnichannel, multi-device data foundation of the Universal Data Hub, THINK is a natural product evolution providing machine-based intelligence on event and user-level behavioral data. Brands can now scale the value of their data foundation with more intelligent audience discovery and creation, along with the capability to influence same-session experiences in real time. Tealium THINK provides clients 3 core capabilities:

• Machine Learning Data Foundation Readines - In order to harness the power of machine learning, a customer’s data foundation must meet certain minimum requirements that are critical to ensuring accurate and significant predictions. Quality predictions and intelligent insights rely on comprehensive and high quality data. The first step for any organization beginning machine learning initiatives is to ensure a comprehensive and standardized data collection footprint enabling machine learning models to output high quality intelligence.
• Predictive Audiences - Predictive Audiences is a continuous and intelligent audience creation service that utilizes machine learning to identify the best audience segments for targeting. It works by analyzing a machine-learning-ready data foundation to create a decision tree with up to 30 levels. This creates the possibility to select from over 1 billion potential audiences. Customers can select the minimum size for the audiences to target and specify how many audiences are desired as the parameters for the service to identify the best audiences. The predictions on the decision tree with the highest potential are selected as the ideal audiences to target out of over 1 billion possibilities.
• Predictive Personalization - Predictive Personalization enables brands to influence same-session experiences in real time utilizing machine learning insights. With Tealium’s Universal Data Hub providing real-time data infrastructure and THINK providing real-time intelligence on the likelihood of individual visitors to convert, brands have access to insights in real time and can take action with those insights at the right time. THINK leverages the XGBoost (Extreme Gradient Boost) algorithm to produce sophisticated and accurate intelligence. This helps brands get to a segment of one for a truly customized, real-time experience at scale that’s only possible with machine learning insights and technology.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
We are curating product adoption due to extremely high customer interest levels combined with the strict requirements for customer’s data foundation. At our user conference, 19.6% of attendees expressed interest in adopting the product.

Please provide an explanation of why this technology is notable for the analytics industry.
The sheer volume of customer data available to brands today has grown exponentially, creating massive data sets that are almost impossible for data professionals to analyze effectively. This is occurring at a time when technology has grown in sophistication to enable brands to engage customers in virtually limitless ways. Yet, to capture the promise of these new technologies, the analysis and activation of these massive data sets is critical.

Tealium’s Universal Data Hub is perfectly positioned to solve this data fragmentation and activation pain in the market. Tealium iQ Tag Management and Tealium EventStream API Hub power the collection and delivery of a comprehensive data set in real time. While Tealium AudienceStream powers robust data enrichment and unification to provide a single customer view that can be leveraged to drive 1:1 customer engagements and individual customer analysis in real time. However, until recently, the power of this product suite was limited to the time internal resources dedicated to managing data through the Universal Data Hub.

Tealium THINK uses machine learning capabilities to dramatically increase the scale at which this data can be used by analytics professionals, not only driving more and better insights, but directly driving action to better harness the value of these insights. THINK’s machine learning capabilities allow organizations to pour through these massive data sets to find the most statistically significant insights that allow the brand to leverage the full value of sophisticated customer engagement technologies.

Company URL
www.vizadata.com

LinkedIn
https://www.linkedin.com/company/vizadata

Twitter
@vizadata

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
10/01/2017

Technology Description:
Vizadata software solutions help people take advantage of intelligent cognitive technologies, like machine learning and AI. Our solutions are built for business users to easily and quickly apply advanced analytics. The Vizadata platform contains the following components:

• Deep Learning Predictor (often called Machine Learning or AI). Create predictive models and then score the likelihood of the prediction coming true. Identify relationships in data that you didn't know existed
• Intelligent Clustering. Identify co-occurrences within sets of your data and explore them using advanced data visualization.
• Market Basket/Affinity Analysis. Determine frequently occurring relationships in your data and dynamically explore them using state-of-the-art visualization.

Vizadata’s technology uses both supervised and unsupervised machines learning algorithms. At our core is a type of supervised machine learning named "deep learning" (i.e. neural networking). Deep learning is one of the most powerful technologies in today's artificial intelligence systems, like autonomous vehicles. Our other unsupervised machine-learning algorithms help find new relationships in your data.

Our AI technology is completely unique and proprietary. No other analytics solution delivers the same capabilities. Others may claim to support machine learning for predictive analytics, but the comparison is apples to mangoes:

• First, Vizadata uses deep learning, or neural networking. We autogenerate the entire AI architecture dynamically (the layers and nodes) and then auto-tune all the parameters and backpropogate. This model tuning work is typically done manually by humans over long data science work-cycles, but we have automated this into mere minutes.
• Second, Vizadata simplifies the entire predictive modelling and scoring process into two clicks. The first click builds a model; the second click applies the model to generate predictive scores. You *really* don't need a data scientist.
• Third, our technology scales to billions of rows, and it's fast.
• Fourth, our solutions are universally applicable to many different business cases.
• Fifth, once you’ve built your predictive model (using our Deep Learner), you can explore your outcomes and datasets using our other components (such as clustering and affinity analysis).

Vizadata’s Deep Learning Predictor enables business users to identify an outcome and then determine what data is most important to that outcome. Our deep learning system is a powerful, proprietary neural network that analyzes your data using cutting-edge cognitive computing technology, then provides a set of advanced analytical capabilities for

Vizadata has dramatically simplified the application of machine-learning to your data by automating the model creation and prediction process into a click. Simply load your historic training data and push a button to auto-generate a predictive model specific to your past data. The model produced is actually a machine-generated program customized to your exact data. Then, in a second click, apply the custom predictive model to your production data in order to create a list of scores. These scores indicate which records are most likely to achieve that prediction or not (i.e. in the case of digital analytics data, you may choose to generate a predictive score that identifies which customers are most likely to convert; however, any business outcome can be predicted.)

This machine-learning, cognitive analysis is done in two phases. The first phase is called “learning” and the second phase is called “scoring.” Each phase requires a data file. The “learning” data file contains historic information about what you are trying to predict. In the case of Salesforce data, the learning file will contain information about each of your prospects or customers and whether or not they have converted in the past (or whatever else you want to model). The “scoring” file, often called the “production file,” contains new data with unknown outcomes (i.e. you don’t know whether or not the customer has converted).

Once the data files are uploaded, you click two buttons to execute and complete the predictive model building and scoring process. The first click is to “learn,” which builds an on-demand custom program specific to your historic data. This program tells you what data is most important to conversion (in relative importance to the other data in your file). The next click is to “score,” which applies the predictive model to your production data. The output is a set of scores, at the individual record level, that identify which records are likely to convert (on scale of 0 to 100%).

Vizadata’s solution puts the power of machine learning (specifically deep learning) into the hands of business users, so they can build and rebuild predictive models as often as necessary – and then find the answers that matter in order to take the best possible action and make the right decision.

At the end of the day, Vizadata’s platform enables companies to operationalize their AI by putting control of the systems in the hands of business users via our backend AI connectors and visually-intuitive front-end interfaces enabling the world’s first and only single-click deep learning system.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
We’ve sold six figures of software licenses and services.

Please provide an explanation of why this technology is notable for the analytics industry.
No other company on Earth is enabling business users to apply deep learning and other methods of AI and machine-learning based analysis – in a way where a data scientist doesn’t need to be involved. We’ve automated what would take a data scientist months to do into minutes - and we’ve simplified the way to access data and the interfaces for commanding advanced analytics systems. We aren’t focusing on engineering. Instead, we provide the capability for business users to autogenerate predictive models in a single-click and then score the likelihood of the prediction coming true. We can model anything down to the individual data level – from predicting which customers will churn and why, to predicting which leads will convert and why, to predicting which customers will have higher LTV or lower COCA and why, to predicting which ads or campaigns will produce profitable outcomes you define and why. The use-cases are only limited by your data and business focus.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
www.vizadata.com

Company URL
http://www.conversionlogic.com/

LinkedIn
https://www.linkedin.com/company/conversion-logic

Twitter
https://twitter.com/conversionlg

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
06/28/2017

Technology Description
Overview: Conversion Logic’s XC Logic® attribution platform measures marketing impact on business outcomes and delivers actionable insights to improve marketing performance. It utilizes data integrations, technologies, and a cutting-edge data-science approach - Ensemble Method, to deliver accurate, predictive results through a sophisticated yet simple-to-use user interface built to empower and inform analysts and marketers.

Technology Evolution in 2017: In 2017, we released a host of new updates to our platform focused on deepening analytic stories our clients can tell with attribution. Some of these updates include an innovative synergy report, simulation and optimization tools, advanced reports, custom dashboards, and many others features.

Being a customer-obsessed organization, we worked closely with our clients to focus in on helping them move beyond core marketing analytics and planning approaches to substantially impactful techniques that drive real-world, verifiable actionability. Our primary directive was to help them move into leveraging advanced, expertly-tuned reporting and optimization approaches that put more precise, more exacting performance insights and recommendations in front of key decision makers.

We started this process working with a selection of client practitioners matching our primary channel, cross-channel, and analyst personas. We identified the challenges inherent with modern attribution solutions when focusing on deriving recommendations from both macro and granular marketing performance analyses. One of the most significant problems our clients have is producing actionable insights using a standard dashboard reporting complementing simulation and optimization tool sets commonly found in the industry.

Our customer-obsession led efforts identified an entire class of approaches that close the gap on insight and actionability with a set of advanced reports that are increasingly impactful when used in combination while also serving as a discovery and validation toolset for the modern analytics practitioners. This approach enables analytics professionals to answer questions that weren’t possible to answer previously about media performance, and business impact, including finally understanding channel halo ( how much influence does channel A have on channel B). Also, seeing how often programmatic publishers overlap in conversions for critical audience segments becomes exceptionally actionable when combined with efficiency metrics, funnel-state contribution, frequency, and even cross-publisher lift.

Our solution to these fundamental questions resulted in a complete rethink and redesign of our advanced reports: Synergy, Overlap, Funnel, and Frequency. The prime directive was to provide fast, exacting performance insights across a configurable set of dimensions allowing analysts to move from macro-level to granular analysis quickly and easily.

Advanced Reports Released in 2017

1. The Funnel Report

   

   The Funnel report surfaces wherein converting paths channels, campaign, and publishers contributed as an Introducer (the first touchpoint), an Influencer (the second or higher touchpoint but not the last), a closer (the last touchpoint before a conversion), and/or a Single (one touchpoint only).

   There are three areas of the Funnel report: the Summary donut chart, which surfaces the overall funnel state contribution for all items, the Trending section which detail how each funnel state has changed since the preceding time period, and the data table which provides item-level funnel metrics (such as a campaign and publisher).

   The Funnel report is typically used to measure the overall contribution of an item, such as a publisher, by funnel state, but also serves as a tool for gaining insight into an item’s reach, such as answering “how often does Publisher A serve as an introducer to new converters?” Additionally, we’ve found the funnel report to be an effective tool in identifying cost efficiency differences between items, such as identifying that Publisher A is more expensive than others but far more often serves as a closer – or the last touchpoint before conversion. This may indicate on-page ad placement, inventory quality, and audience targeting among other factors are superior to other publishers with different funnel profiles.

2. The Overlap Report

   

   The Overlap report surfaces a vast set of metrics for conversions where two items, such as two channels or publishers if both were present in the same converting paths. It provides rich insight into which side received more credit when overlaps occurred, how much of each side’s total contribution this accounted for, and much more. A few example questions which this report can help answer:

   • “When Channel A and B contribute to the same set of conversions, which contributes most substantially?”
   • “Where there is overlap, how much of each channel’s total contribution does the overlapping credit account for?”
   • “What is the cost efficiency difference between the two channels?”

   The overlap report is the first step in determining if an overlap is good or bad - the second phase is typically using the funnel report to see if the two overlapping items are introducing, closing, or influencing conversions. For example, if two similar programmatic vendors overlap substantially is this good or bad? If they are contributing to the same funnel states this is a very likely possibility, and an advertiser may very well be bidding against themselves. However, if they contribute differently and have little overlap, this may indicate unique site and inventory placements - the potential for a good continued media plan maximizing reach.

3. The Frequency Report

   

   The Frequency report shows total conversion credit by touchpoint count, sometimes called frequency group, for converting paths across the filters selected by the user. It could be a single publisher considering only a specific set of campaigns, and other combinations that give the analyst precise insight into both cost and contribution at the touchpoint-count level.

   This report is instrumental in determining if frequency caps currently set are too high or low for any given set of attributes. When used in combination with other advanced reports, users can answer questions like “what is the weekly impression frequency limit I should put on Publisher X to minimize wasteful spending on exposures that don’t actually contribute to conversions?”

4. The Synergy Report

   

   The Synergy Report is an innovation in the industry, which answers one of the most common and challenging question that analysts ask of attribution, “what is TV’s total synergistic impact across other channels, such as paid search?” Synergy measures the lift of one item, such as a channel type or publisher, on other items. The “lift” measured, sometimes called "interaction effect" or "halo effect," is one of the most sought-after reports in attribution. A lot of effort has gone into delivering with up to three attribute combinations measured, such as channel level, channel + campaign level, or channel + publisher level. We designed this report to precisely measure synergies across all channel types including digital and offline, such as TV effect on display or paid search.

   The report surfaces the increase or decrease in contribution and performance of one channel on another, such as surfacing Paid Search’s increase in conversions and decrease in cost due to TV's positive lift. The Channel Synergy report has three primary functions, the left-most channel element, which shows the channel whose effects on all other channels is measured.

   The second is a list of each channel with corresponding spend, attributed conversion credit, and the contribution of the lift it received. By hovering over any item a helpful tooltip is surfaced showing detailed metrics of how this channel would have performed if the primary channel in the first area had not been present.

   The third shows, for the item selected, the total contribution impact - the increase in attributed conversions, the lift effect (the percent increase or decrease in attributed conversions), and the change in efficiency (expressed as a percent change in monetary value).

   We will discuss a use-case that spans across the three reports in response to Q5. Some of the world’s largest advertisers use the technology for in-flight optimizations as well as planning.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Conversion Logic is accepted and used by world’s largest advertisers and Fortune 100 companies. In 2017, our total contract value went up by 86% YoY, and revenue grew by 150 YoY%. We have received raving feedback about the product and our modeling approach.

Please provide an explanation of why this technology is notable for the analytics industry.
The guiding principle for the platform has been to provide accurate and actionable insights for analytics professionals. We’ve been recognized by leading analysts such as Forrester and Gartner and are trusted by large consumer brand marketers such as GM, Microsoft, and Pizza Hut - with results often exceeding 50% efficiency gain (or ROI).

Analytics professionals trust the Ensemble approach - a highly dynamic machine learning framework with higher predictive accuracy than any one single algorithm. An Ensemble model pulls a multitude of state-of-the-art algorithms to improve model prediction without overfitting the data. The Ensemble Method trains multiple state-of-the-art machine learning algorithms and combines their predictions to deliver the most accurate, unique and flexible attribution model for each client. It adapts to each client's data-set and does not force one algorithm on all clients. Our framework can also accept additional algorithms developed and provided by the client.

Once the platform receives validation from analytics professionals, adoption and activation follow in some of the world’s biggest brands.

In the analytics industry, it is common to see that a combination of reports typically provides clear performance insights for an optimized forward-looking plan be crafted. As an example of something we often see, we would like to detail a use-case of publisher optimization, that would help understand how the advanced reports, mentioned in response to Q2, could work in conjunction and prove the depth and breadth of XC Logic® Platform and the ROI.

It is easy to find opportunities for improvement at the publisher level where publisher A's overall efficiency is far superior to that of publisher B. Without granular attributes, such as how different creatives and messaging combinations are performing and where in the customer’s decision journey a publisher is contributing the most, is a fool's errand to recommending spend changes. Continuous measurement is essential for improved insights over time.

One of our first time-tested principles when it comes to optimizing media is that, except in the case of unquestionably clear evidence, many optimization decisions should be implemented using an incremental testing approach - changes in budget should be done in ways that increase measurability balanced with creating impact against KPI's as quickly as possible. It's far too tempting to provide recommendations that move too much budget in a single change order, which gives little chance for directional feedback over shorter periods of time.

One specific use case we see quite often is that of discerning which programmatic vendors are working and which are not, from amongst a mountain of noisy data. Let's say, programmatic vendors, Vendor A and Vendor B are analyzed. On the surface, they both contributed to conversions similarly, but Vendor A had a much lower cost per conversion than Vendor B. Even after looking at campaigns and creative performance, identifying areas of improvement across campaigns, creative, and messaging tactics, the differences stubbornly remained.

Had we stopped with the analysis here we may have moved most of the budget away from Vendor B. However, using the Funnel and Overlap we were able to see that Vendor B was a strong introducing publisher (the first touchpoint in a converting path), with around 70% of their contribution credit delivered as the first exposure in conversions. We also observed little overlap between the two vendors, meaning they were reaching very different audiences. When they did overlap, Vendor B was taking most of the credit which was a reliable indicator that Vendor B was more effective (though more expensive) in addition to reaching a different audience.

With this consideration in mind, we reconsidered Vendor B focusing on new optimization opportunities with a focused strategy targeting audience segments it excelled at converting. We also utilized the Frequency report to lay out a plan for testing increasingly lower frequency caps with a target total decrease of 20%. Given the contribution for higher touchpoint counts, the projected gains would result in relatively the same performance while saving a substantial amount of budget.

One aspect that has made these advanced reports so useful is that we've architected a way to deliver these using a client’s preferred attributes using pre-calculated data sets which enable complete customization of the time range along with fine-tuned filter settings. This approach allows for customized advanced reporting our clients can both answer complex questions with and create optimal forward-looking plans with confidence.

All in all, in 2017 the XC Logic® platform has evolved to provide analysts more accurate, actionable data and insights for recommendations and optimization exercises. The platform ingests granular data and enables analysts to answer hard questions with relevant, sophisticated reports.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
For this round of assessment we would want to share additional information in the additional comments section.

Please share any additional comments
We want to use this opportunity to provide a background on our differentiated cutting-edge approach of Ensemble Model at scale. Our data collection at the most granular level allows Ensemble to provide granular insights and there is some more information on data collection capabilities as well.

The Ensemble Method for Modeling

The Ensemble Method trains multiple state-of-the-art machine learning algorithms and combines their predictions to deliver the most accurate, unique and flexible attribution model for each client. It is a highly dynamic machine learning framework with higher predictive accuracy than any one single algorithm. This is an innovative approach and the engineering platform and data collection support the Ensemble Framework. Unlike, a one-size-fits-all, (usually) single algorithm approach that the rest of the industry employs, Conversion Logic is rooted in the Ensemble Method which allows for learning from each client’s data patterns.

The Ensemble Method consists of four phases:

1. Data Collection and Segregation
2. Training
3. Validation and
4. Ensemble Model selection

Predictive performance scores in the Training and Validation phases are key to ensuring each client has the most accurate model. Validation is executed on a 20% holdout of the complete data set. The attribution model predicts variations for this holdout data set and historical patterns guide machine learning algorithms to predict variations.

This process ensures the models' ability to adapt, learn and perform accurately when applied, versus over-fit to learnt data patterns. Validation performance of the client’s Ensemble Model is monitored regularly (daily to weekly) and resolution steps are immediately initiated in case of deterioration in model performance.

Data Collection

The Conversion Logic Platform is the only real-time attribution platform in-market. From sourcing data, modeling to delivery, Conversion Logic can process at the speed of media to provide insights in real-time. We collect real-time, event-level data across multiple channels using a combination of javascript tags, media pixels, APIs, File transfers, and Log Files. Integration points from custom CRM systems to call-tracking to in-app integrations to capture conversions have also been available. Our product has been able to successfully incorporate these sources, connect them to user paths and also provide actionable insights back our clients through reporting and insights. The platform is engineered for big data and supports real-time streaming and processing of data.

About Conversion Logic

Conversion Logic is the leading SaaS solutions provider of cross-channel attribution, measurement and analytics.

With the XC Logic® platform powered by our award-winning machine learning framework and our professional services expertise, we enable marketing efficiency, optimization and scale by delivering predictive and valuable insights in real-time.  

We’ve been recognized by leading analysts such as Forrester and Gartner and are trusted by large consumer brand marketers such as GM, Microsoft, and Pizza Hut - with results often exceeding 50% efficiency gain (or ROI). We are thankful for the opportunity to submit for the Quantie Award and share our evolution!

Team Name
Evolytics

Team Members: List Names and Job Titles

• Lindsey Poulter, Data Visualization Analyst
• Krissy Tripp, A/B Testing Strategy & Analysis Manager
• Robert Newton, Data Engineering Manager
• Brian Johnson, Implementation & Optimization Director
• Tom Wilkins, Founder and CEO

Company
https://www.linkedin.com/company/evolytics

LinkedIn Profile for each team member

• https://www.linkedin.com/in/lindseypoulter
• https://www.linkedin.com/in/krissyt
• https://www.linkedin.com/in/robert-newton-9627a960
• https://www.linkedin.com/in/bcj19
• https://www.linkedin.com/in/tom-wilkins-0886282

Title of Project You Wish to Present at the Quanties Competition
A/B Testing Planning Tool

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description

Evolytics serves as an enterprise strategic testing partner for an eCommerce client that has more than ten core websites with numerous product lines and brands to test across. In this role, Evolytics' work includes testing strategy and process development as well executional support.

Early in the work to build the client's testing practice, Evolytics identified a challenge with the cross-functional ownership for testing: empowering individual client teams to plan and analyze valid A/B Tests on the organizational roadmap while avoiding Analytics Team bottlenecks was paramount to proper scaling.

To solve for this, the Evolytics team created a suite of custom, Tableau-based enterprise testing tools, including:

• Executive rollup of test plan (what tests are happening when/where)
• Roadmap planning tool for in-meeting traffic allocation
• Sample size calculator with confidence & power parameters
• Test duration estimator
• Historical conversion estimator
• Test reads with significance & confidence Interval calculations

These tools empowered the individual teams for testing while ensuring sound execution.

Link to Work Sample

Client Issue
The client was quickly scaling their testing organization, and product owners wanted the ability to quickly estimate test duration for prioritization purposes without the need to ask an analyst to run historical conversion and traffic numbers. With more than one sample size calculator floating around, sample size estimates weren’t streamlined. Cross functional test planning meetings lacked productivity because there was always a need for an analyst to go back and “run the numbers” rather than having them ready during the planning session.

Analytics Team Solution
The Evolytics client team led the creation of a streamlined planning process tool that integrates Adobe Analytics data.

Using the open parameter sample size calculator, team members can input their desired start date, lift, confidence level, power, product category, and site being tested in order to identify their conversion rate, daily traffic count, sample size per recipe and test duration. By using visitor ids rather than daily unique visitor metrics, the unique visitor count was truly deduplicated over timeframes, taking another manual task out of the process.

A flight scheduler was also created, allowing project managers to see currently available traffic, accounting for planned tests, as well as and historical traffic and conversion on a calendar dashboard view. During planning sessions, project managers can reserve traffic live in the tool as they put together the test planning puzzle.

An executive summary tab allowed for a quick view of all tests as well as the required development time. Filter allowed executives to see tests by timeframe, product line, strategic goal support, or status (new requests, in development, live, or complete). Seeing the multiple product line view alleviated development oversight by allowing the cross functional testing team to space out the development process. By showcasing the product line and goal support, product managers were able to quickly answer high level strategic questions from leadership.

Sample Size Calculation and Test Duration Estimation:

Flight Scheduler:

Executive Rollup:

https://drive.google.com/open?id=1Ja2jLxnjLjI1vbynVVSkE3Ppa8K090xV

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.

The Evolytics team built an end-to-end solution that enabled the client to automate the planning process for A/B Tests. The previous process allowed for many points of failure, such as inconsistent historical data pulls or variations in sample size calculations.

Our solution was to create a self-service tool that minimizes the risk of error by using only one data source and allowing test planners to choose between a set list of the most common KPIs. Automated calculations alleviate the risk of human error, and the test roadmap summary slide helps shed light on overlap issues that occur when test ideas are developed in silos.

The Evolytics team was creative and resourceful in their enterprise testing tool strategy. With the client's long buying cycle, duplicative unique visitors were a difficult problem to account for when estimating historical traffic and test duration. By deploying the Adobe Data Warehouse API, the team was able to use visitor IDs to deduplicate unique visitor counts over any testing period without the expense of implementing clickstream. Also, using one large, consistent data source across the enterprise democratizes data and helps ensure data pulls are uniform when stakeholders have different personal perspectives on the best ways to slice and dice the data.

Evolytics held numerous discovery meetings with the client's Analytics team and stakeholders to assess their appetite for risk. This informed the statistical parameters built into the test planning tool. We empowered stakeholders to plan for and analyze A/B Tests that met the organization's standards, without feeling the need to earn a statistics degree. Customized training and documentation further increased the organization's comfort level with these tools and added to their embrace.

Please share any additional comments
Thanks for the opportunity to submit this nomination.

Team Name
Team_Promo$mart

Team Members: List Names and Job Titles

• Prithvik Kankappa, Managing Director
• Sulabh Jain, Managing Director, Delivery lead, West coast
• Nagarjuna Murakonda - Data Scientist

LinkedIn Profile for each team member

• https://www.linkedin.com/in/prithvik-kankappa-33959326/
• https://www.linkedin.com/in/jainsulabh/
• https://www.linkedin.com/in/nagarjunamurakonda/

Title of Project You Wish to Present at the Quanties Competition
Promo Effectiveness and Optimization Tool

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Product Description

Client is a leading specialty pet food retailer with over 400 locations. They run hundreds of promotions every month across thousands of SKUs. Impact Analytics (IA) collaborated with their merchandising team to improve their promotion planning and execution process. Prior to this, decision making on promotions had always been a manual process and done by gut-feel and vendor input. Merchants had to individually contact and negotiate with vendors for any changes on promotional offers. The merchandizing team had no clear visibility on the net profitability of a promotion. All decisions were based on experience and the merchant’s gut feeling/instinct. There were a high number of margin negative promotions (toxic promotions) that our initial analysis showed. Quite often, similar items or items belonging to the same category would go on promotion in the same period. This led to loss of sales due to cannibalization. Merchants could also not measure the impact of promo placement on an item’s lift - if promoting on catalog’s first page or an aisle stack or end-caps had any significant impact on the item’s sales. And finally, all promotions were finalized using complex excel sheets. Maintaining and referring to past promotions was tedious, unorganized and nearly impossible.

Impact Analytics worked closely with merchants to understand the current process and identify opportunities to simplify each stage of the process, from consolidating all vendor promotions to real time recommendations of a promotion’s profitability. IA’s robust prediction models used a combination of linear regression and spline models to accurately determine the effects of pricing, placement of the promotion, secondary effects such as Cannibalization, Affinity and Halo associated with a product. The team had to account for the impact of multiple variables including events like weather to arrive at the best way to analyze the net impact of a promotion. Multiple iterations had to be done and feedback from client taken to create the best-fit model.

IA’s custom solution, Promo$mart, empowered merchants with real time analytics to take decisions on promotions. The tool's clean interface and lucid visualizations along with advanced features like real time profitability simulations let merchants tweak multiple aspects of a promotion to arrive at the optimal price point. By empowering the merchants with relevant data, they could negotiate more confidently the share of discount the manufacturer must support with. Giving the merchants the ability to track historical performance of an item on promotion at different price points armed them with valuable tools to plan new promotions operating at similar discounts/retail prices to maximize ROI. By centralizing the management, merchants were able to reduce the multiple inputs and corrections needed as well as bulk upload thousands of items bundled into offers and without the sequential time consuming method they were previously using.

The overall result of this exercise spanning 10 months was that Impact Analytics’ solution resulted in a margin increase of ~ $3.5MN to $4MN USD by identifying toxic promos and increasing the profitability of other promotions. The team was also able to save ~ $500,000 dollars in marketing costs. Our work was well appreciated by senior leadership and Promo$mart is being used to make all promotion decisions today.

Link to Work Sample
https://drive.google.com/open?id=1t_ONQcItZiSUuIFsmUWtFT2n0BmK5usP
https://drive.google.com/open?id=1qMiGyqezlH6xxBv_I32DsTAPKBwREwxQ

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
Our robust prediction models used a combination of linear regression and spline models to accurately determine the effects of pricing, placement of the promotion, secondary effects such as Cannibalization, Affinity and Halo associated with a product / SKU on promo. The team demonstrated excellence in building models that overcame the complexity of: overlapping promos, having no non-promo baseline, dirty historic data, impact of external variables like weather and internal variables like price change, advertising impact, couponing impact, etc. The team really had to spend time to understand and delineate the effect of each of these variables to identify net promo impact.

Team Name
Global Analytics and Operations team

Team Members: List Names and Job Titles

• Marc Gallman – Sr. Manager (Data Architecture)
• Santosh Nair – Sr. manager (BI)
• Tusharadri Mukherjee – Sr. Manager (Operations and Strategy)

LinkedIn Profile for each team member

• https://www.linkedin.com/in/marcgallman/
• https://www.linkedin.com/in/csanthoshnair/
• https://www.linkedin.com/in/tusharadrimukherjee/

Title of Project You Wish to Present at the Quanties Competition
Big Data Story at Lenovo

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description
https://app.box.com/s/gxp1q00ohipx4pm79okh6spxw76014zf
Please download slide from above link.

Link to Work Sample
https://app.box.com/s/oh3a8hofqqrd0rraq5tcyllanj2s5pvs,
https://app.box.com/s/dqsks51poolphzf0v1ve5i93wd8r88oh

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
5 years back, there were no big data systems in place for Lenovo. Most of the team worked in their respective silos working on excel and other basic data tools like Access. Then the global business intelligence team was established to enable Lenovo take the analytics leap. Once the team was established, they brought in different leads to head practices like data management, business intelligence, personalization and advanced data science. Over a period of 5 years, the success of the analytics team was evident since all the efforts generated - $ 105 mil in revenue, with over 750+ users of BI and dashboards globally and team size increasing to 100+ folks (from 2 folks initially)

Team Name
Pitney Bowes Digital Analytics Team

Team Members: List Names and Job Titles

• Krystal Solcish, Manager Digital Analytics
• Sailakumari Payala, Technical Manager
• Lauren Moscone Sr. Manager, Digital Analytics

LinkedIn Profile for each team member

• https://www.linkedin.com/in/lauren-moscone-b19aa16
• https://www.linkedin.com/in/ksolcich
• https://www.linkedin.com/in/sailapayala

Title of Project You Wish to Present at the Quanties Competition
Superior Implementation

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description
Adobe Analytics Implementation and Adobe Target Optimization program.

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
The Pitney Bowes Digital Analytics Team was established in May, 2017, and took ownership of an existing Adobe Analytics implementation and Target testing program from previous owners. Prior to the new Digital Analytics team, there were heavy dependencies on outside agencies for implementation and analysis, lax governance for existing analytics tools and workflow, and no central authority for analytics standards, and little documentation.

Starting from scratch was not an option. However, within 8 months, the team fully operationalized their digital analytics technology stack by establishing governance, defining process and workflows, and creating business continuity documentation. As an extinction of that work, the team executed on an improved Analytics solution design and launched a new and improved Target testing program. Additionally, the team rolled out a new data quality process, including ObservePoint, and established itself as the center of excellence for digital analytics.

In parallel, the capabilities of the Digital Analytics Team were socialized and the way in which stakeholders interact with the team transformed. The complexity of questions advanced, and the Marketing organization became truly data driven and performance oriented.

Team Name
MAST (Marketing Automation and Analytics Team) from Position2

Team Members: List Names and Job Titles

• Philip Verghese, Director Automation and Analytics
• Divya Krishnan, Associate Director Marketing Analytics

LinkedIn Profile for each team member

• https://www.linkedin.com/in/divya-krishnan-34511634/
• https://www.linkedin.com/in/philip-verghese-0017135/

Title of Project You Wish to Present at the Quanties Competition
Driving B2B customer journey analytics through integrating Google Analytics - Marketo

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description

Objective: Identify the most promising prospects among web visitors and improve conversion rate from visitors to leads

Approach: Break data silos by integrating Google Analytics and Marketo.

Use the integrated data to identify success paths. Use remarketing to create similar success paths to convert visitors to leads.

Results

1. 130% increase in Visitors to Leads ratio over a 6-month period
2. 48% Reduction in cycle time (avg. no. of days) of Leads to Opportunities
3. 35% Improvement in conversion rate of Leads to Opportunities

Link to Work Sample
https://drive.google.com/open?id=1IzbYqHnFeJ5AUoWkCVWHUUT5FUsllsEN

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
Position Squared (www.position2.com) is a full service digital marketing agency driving Demand Acceleration campaigns for mid-large B2B clients. The agency is truly integrated in its approach and the analytics team is at the core of this.

All Demand Acceleration projects are driven analytics first making data strategy (planning, implementation, dashboards, analytics and testing) a key component of the program strategy itself. Paid Acquisition and Marketing Automation campaigns leverage integrated analytics to drive campaigns and measure performance.

Areas which demonstrate our expertise in B2B Marketing Analytics:

1. Integration of GA-Marketo
2. Leveraging the integrated data to study patterns of content consumption and website behavior by visitors who are in Opportunity and Customer stages
3. Implementation of engagement scoring in Google Analytics on Anonymous visitors using Goal Values
4. Building audiences in GA for anonymous traffic with high scores
5. Creation of remarketing campaigns for these audiences resulting in higher conversion rates
6. Development of Google Data Studio dashboards that show traffic trends of Anonymous Traffic, Identified Accounts and Target Accounts

Team Name
World Surf League Analytics Team

Team Members: List Names and Job Titles

• Rich Robinson (SVP Digital)
• Chris Culbertson (VP Marketing)
• Jamie Schallek (Director of Marketing)
• Rusty Parker (Analyst)

LinkedIn Profile for each team member

• https://www.linkedin.com/in/richardthomasrobinson/
• https://www.linkedin.com/in/christopher-culbertson-ph-d-122a72b/
• https://www.linkedin.com/in/schallek/
• https://www.linkedin.com/in/rustyparker/

Title of Project You Wish to Present at the Quanties Competition
Machine Learning Initiative

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description
World Surf League (WSL) knew they had extremely engaged users (both on and offline) but they needed to identify them, segment them, and craft personalized brand experiences for them to keep them engaged. WSL needed to analyze initial on-site behaviors, demographics, and other identifying characteristics of their most active users and use Machine Learning to better understand how to grow user engagement.

Link to Work Sample
https://drive.google.com/open?id=1Y5IRagQ1GNFtd8QUKPZC6yovrgIC18ziShRqwIAAjD4

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
The World Surf League (WSL) is dedicated to celebrating the world’s best surfing on the world’s best waves through a variety of audience platforms. The WSL has been championing the world's best surfing since 1976, annually running in excess of 180 global events, including the elite Men's and Women's Championship Tour (CT). The CT is the world’s premier surfing series that crowns the men’s and women’s world champions at the conclusion of each season.

With a global audience, a highly unpredictable sport and a rapidly evolving distribution landscape, WSL Analytics focuses on capturing insight to deliver a best-in-class digital experience for fans. In practice, this means:

• Developing fast, flexible and scalable data infrastructure
• Integrating multi-platform data to provide holistic audience insights and improved user experiences
• Informing marketing strategy via deep insights into key fan segments
• Delivering real-time marketing insights to drive continuous performance and ROAS improvements
• Continuous innovation with data partners and distribution partners to remain at the cutting edge of analytics
• Commitment to ongoing face-to-face dialogue with fans to ensure their voice sits at the very top of the data stack WSL Analytics is fully embedded within the marketing, creative, digital product and commercial teams to deliver the best digital media experience and value offering to our fans. Team members are all highly active members of the Southern California surf community, and of course, avid fans of the sport of surfing.

Developing advanced analytics and ML capabilities in 2017 led to exponential grow in insights which in turn drove significant value to the WSL, and to fans. Specifically, advanced insights led to:

• A reduction in cost per conversion (where conversion = video play or content view on WSL web and app) by more than 50% from the start (March 2017) to end of the competitive season (December 2017), thereby more than doubling the efficiency of ad spend aimed at driving fan engagement and content viewership / consumption
• An improvement in targeting and efficiency driving a 30% increase in concurrent viewers to live competitions and a 31% increase in sessions per user to the WSL web and app, while maintaining a similar marketing investment year-over-year.

Team Name
XPLAINERS

Team Members: List Names and Job Titles

• Stefanos Karagos, Founder & CEO
• George Sokianos, CTO & Lead Developer
• Babis Konstantinidis, Director of Analytics
• Kostas Karakostas, Lead Data Scientist
• Elpida Mavromataki , Data Analyst
• Olivia Kefala, Senior Data Strategist
• Vasia Dimitropoulou, Head of Audit
• Tina Macris, Senior Data Strategist
• Ava Babili, Consumer Insights

LinkedIn Profile for each team member

• https://www.linkedin.com/company/xplain/

Title of Project You Wish to Present at the Quanties Competition
the Digital Marketing Consumer Intelligence Barometer

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description
Our Revolutionary Approach! Using Artificial Intelligence to understand the Consumers by collecting and analyzing Big Data and Secure Results for the Brands by providing Actionable Insights.

Link to Work Sample
https://we.tl/zMDHJ1weo9

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
We are a team of people coming from different backgrounds, from Marketing Specialists to Data Scientists, and Crazy Developers (hidden in their cloud) plus few Language Experts. We also have one Archaeologist with us, although she is not practicing it. We love to work with universities and other educational institutes. Continuous Skills’ Development is in our DNA and Working Smarter through Automation in our Core. This, along with our Clients’ valuable feedback, is driving Product and Services’ development. We love our clients and we also love their our clients’ consumers so much that we really listen to them and not the perceptions about them. We have achieved record-breaking results in 2017. Performance results for Mountain Dew, Pepsi, and 7Up in 2017 are available on Slide 14 to 16 on PDF file shared.

LinkedIn
https://www.linkedin.com/in/ciara-adkins/

Twitter
@ciaraladkins

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
One of our clients had a significant amount of data being collected through surveys. These surveys were measures of completion of tasks and general satisfaction. Based off of a user’s interaction with the site they were segmented into different groups that corresponded with site sections and each of those site section segments were further broken down into the tasks that led a specific user to qualify for the overall site section segment. So I created a dashboard in Tableau that broke down the results by both site section and task segments, and looked for optimization opportunities using a measure that we call the “NPS Proxy”.

Users were asked 2 questions in the survey: 1) Were you able to complete your task? 2) How satisfied were you with XYZ.com today? Completion had the potential answers “Yes”, “No”, and “Partially”, while the answers to the satisfaction question ranged from 1 to 5. Therefore it was necessary to come up with a quantitative overall measure of completion and satisfaction (which would be particularly difficult for completion which had qualitative values). Thus, we used a measure similar to Net Promoter Score (NPS) with some modifications for our purposes. NPS is traditionally used to answer a question like “On a scale from 1-10, how likely are you to recommend company X?” where users who respond 0-6 are called “Detractors” and those who respond with 9 or 10 are called “Promoters”. Thus, the traditional NPS calculation looks like this:

Here are our modifications for the metrics we used where “Sat” is Satisfaction and “Comp” is Completion:

So for our purposes those who gave positive responses were our “Promoters”. These were the users who responded with 4 or 5 in terms of Satisfaction and “Yes” in terms of completing their task. Similarly, those users who gave negative responses (Satisfaction: 1 or 2; Completion: “Partially” or “No”) were our “Detractors”. Thus, this gave us a measure that ranged from -100% to 100% that we could use to measure overall satisfaction and completion and also use this measure to look at our completion and satisfaction by each individual qualifying task. Using this metric we could look at the data and quickly identify the problem spots and where we should do a bit more digging.

For example (Apple is not one of our clients. These numbers were fabricated for this example):

Survey data—

Given this data we can find the NPS Proxy values—

Thus using this information, we’d see that it’s probably important that we look into the iPhone site section and the examine the process for viewing either iPhone X or iPhone 8 (highlighted in the table) since it has a negative completion for both proxy values and is a significant percentage of survey responses. Another task that might be important and interesting to look into would be comparing iPhone Models (also highlighted). The low Completion NPS Proxy with the high Satisfaction NPS Proxy, could indicate difficulty in the user completing a task but still an overall positive experience because of the site’s ease of use and simplicity of the site.

Primary Job Responsibilities
Implementing client tagging solutions, analytics solution audits, analytics solution quality assurance, and dashboard design and execution.

Please share any additional comments
Ciara was recently promoted due to her accomplishments.

LinkedIn:
https://www.linkedin.com/in/samanthambarnes/

Twitter:
https://twitter.com/WhatSamLikes

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Analyzed optimization testing results using statistical methods.
• Produced analytics governance documents and/or monitored compliance.
• Mentored or trained others in the area of analytics or optimization.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
As a Manager in the Analytics & Insight department, Samantha Barnes positive impacts her clients, her coworkers, and her community; all while setting new internal standards for data visualization, leading through technical expertise, and developing a new

Primary Job Responsibilities
Manager, Analytics & Insight. Delivering high quality results to clients

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Samantha Barnes - Quantie Application
Samantha Barnes

LinkedIn
https://www.linkedin.com/in/moekiss/

Twitter
https://twitter.com/moemkiss

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Moe Kiss entered the digital analytics industry from an analyst role in the Australian Department of Defence, and has taken the analytics industry by storm! In less than three years in the digital analytics industry, Moe has:

• Learned the industry (and her role) from scratch, with little or no digital experience before;
• Spoken at industry events such as eMetrics and MeasureCamp, and has been invited to speak in 2018 at SuperWeek, Conversion XL and the-artist-formerly-known-as-eMetrics where she was recnognised for her efforts:
  • MeasureCamp Sydney 2016 – voted “best presentation”
  • MeasureCamp Sydney 2017 – voted “best presentation”
  • eMetrics San Francisco 2017 – presentation rated 3rd overall
• Taken on a leadership role (as President of the committee) in the Sydney analytics community, helping to run Sydney Web Analytics Wednesdays and MeasureCamp.
• Become co-host of the hugely successful Digital Analytics Power Hour (“DAPH”) industry podcast - THE podcast of the digital analytics industry, co-hosting with industry veterans Tim Wilson and Michael Helbling. Tim has noted, “Not only have we seen an uptick in the depth and quality of our discussions on the show since Moe joined, we have had numerous listeners reach out publicly and privately to tell us how great of an addition to the show Moe has been.”
• Moe is an advocate for inclusiveness and Women in Analytics with several blog posts on the topic. She works hard to share her learning with the community. She is a regular contributor to conversations in Measure Slack and doesn’t hesitate to help others with their analytics challenges. However, she isn’t afraid to ask questions either, and doesn’t pretend she has “learned it all” - she is constantly seeking to expand her skillset.
• On top of her community involvement, Moe is an analytics manager at THE ICONIC, the #1 online fashion retailer in Australia & New Zealand. In her short time in the analytics industry, she has learned Google Analytics 360, BigQuery, R, Tableau, Snowplow, SQL, and a variety of other analytics solutions and practices.
• Within THE ICONIC, she has contributed to business success via cross-device analysis, product stickiness and feature importance analysis, custom funnel analysis, NPS analysis and A/B Testing analysis. Her cross-device analysis entirely changed THE ICONIC’s strategy towards their websites, mobile sites and apps, due to the new insights they had about their customers’ behaviour. You can hear more about it in this episode of DAPH: https://analyticshour.libsyn.com/075-corralling-the-cross-device-visitor.In three short years, Moe has made a HUGE impact on the digital analytics industry, and we look forward to seeing what she will do next!

Primary Job Responsibilities
Analytics Manager

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Her blog: http://www.moekiss.com/
DAPH: http://www.analyticshour.io/

LinkedIn:
https://www.linkedin.com/in/annamininkova/

Twitter:
https://twitter.com/kisasosisa

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Anna joined JetSmarter in the autumn of 2016 and led the implementation of all mobile analytics in JetSmarter iOS and Android applications. This has been instrumental in delivering insights for the user experience and technical teams, and apart from that Anna demystified mobile KPI reporting and made it accessible for marketing and sales team. The CPA tracking for offline transactions that she introduced has helped the marketing team to optimize acquisition channels and distinguish between long-term efficiency and non-efficiency of the channels.

On top of day to day mobile analytics and research, Anna has made a deep dive into the JetSmarter operations process to help identify the key pain points, match them to the data and help optimize the operations workflow. Anna’s biggest accomplishment at JetSmarter in 2017 was a roll out of a state of the art risk assessment system. The growth of any trust-based community – the JetSmarter business model is one of a private jet ridesharing – is closely tied up with an elevated risk of fraudulent transactions and high-risk behavior on flights. (add period) Anna’s extensive research and analytical findings helped identify the features of potentially high-risk transactions and members and laid a foundation of a new risk assessment system at JetSmarter. Anna’s skillset is so broad that it allowed her to lead both the analytical project as well as the solution design and implementation of an automated system for identity verification and background checks. The roll out of the system helped JetSmarter reduce the loss from fraudulent transactions by 120% from the previous year and lowered the membership fraud suspension time-span from 42 days to 2 days. Anna’s background in product management and user experience research was crucial for partnering with the operations team. She now trains the flight services and paralegal teams on how to use reporting and risk assessment systems, and works with their feedback to further improve it.

Primary Job Responsibilities

1. Develop and review key success metrics with Product, Sales and Marketing teams.
2. Develop and build dashboards using Mixpanel, Adjust and internal solutions.
3. Improve the ways JetSmarter measures and visualizes data. Be a gatekeeper of data quality.

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Digital Analytics Award

LinkedIn:
https://www.linkedin.com/in/annaereed/

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.

Analyzed optimization testing results using statistical methods?

I have implemented A/B and multivariate optimization tests via Google Optimize and Optimizely across client websites in industries including senior care and real estate. The optimization experiments I implemented tested an array of onsite content and campaign strategies and their impact on website engagement/lead generation. The ideas for these tests came from in-depth analyses using Google Analytics data. Before implementation of tests, it was my job to perform in-depth analyses on website data, present the analysis data to executives at client offices, provide testing recommendations based on analysis results, write up test proposals for all parties involved in testing to maintain alignment, create a timeline for test implementation, gain client approval on test design, implement tests via optimization tools, analyze results, report back learnings to client and suggest final site changes or follow up optimization tests. I also coordinated designs on several tests with web developers from my client’s third-party partner agencies when tests required extensive site design changes. Some of these tests, categorized into topics, include the following:

1. Drive Engagement with CTA’s
   • Call to action testing on homepage promotional banners to assess the affect of personalization on Click-through-Rate
   • Call to action testing on Virtual Tour Content for Real Estate Company to assess affect on content engagement
     • Results: The original analysis identified that users who engage with the Virtual Tour feature on the site are more likely to fill out a web form. Therefore, my goal was to optimize the Virtual Tour experience with a hypothesis that it would increase engagement. In conclusion, we saw a 2% lift in engagement, which in turn, has helped increase overall site conversions.
2. Drive Job Applications
   • Banner modification testing to assess affect on the ability of landing page set up to drive resume conversions
   • Modification of button text to test affect on click-through-rate
3. Drive Phone Leads
   • Page Reorder/Redirect Testing to assess the affect of page set up in driving phone leads
     • i. <Results: This test was implemented to help solve a business problem: sending users to a generic phone number for a sales office vs. community specific sales offices was lowering the client’s quality of leads and leaving customers unsatisfied. However, the online appeal of calling a generic number was high despite its later affect on lead quality. In order to solve this problem, the A/B experiment was set up to test if we could drive the same number of leads using community sales office specific numbers on the site vs. the original site design, which contained a generic number. In the experiment, I reordered the page set up to provide the best user experience and to influence site users to call a community directly. In the end, the experiment version drove a lead volume that was on par with the original version and produced higher quality leads. This kept the company from having to restructure their business and hire new employees to staff phones by simply making a website change.
4. Drive Form Submissions
   • Modification of contact form through text reduction to assess affect on form conversions
   • Modification to form headers to assess affect on form conversions
5. Drive Overall Site Leads
   • a. Landing page location testing via Google Adwords Campaigns to assess the affect of exposure to certain website content upon site entrance on website lead conversions
     • i. Results: Prior to this test I performed an online content analysis assessing if interaction with a certain search function, only located on the homepage of the site, had an affect on conversions. I found that when users moved through a particular flow on the site and interacted with this search function, they had tremendously higher online engagement and were significantly more likely to become a lead. The users that were not exposed to this search function were less likely to convert. Because it was also found that 90% of paid search campaigns were not exposed to this search function due to their landing page location, it was my suggestion that we experiment with landing page tests by landing users at their original location which was deep within the site vs. an experiment version, which landed users on the homepage and immediately exposed them to the search function. In the end, the experiment version drove a lift in interaction with the search function, online engagement and overall online leads.

Introduced and/or implemented a new marketing technology that is delivering results for their employer?
I implemented the business intelligence tool, Domo, to one of our company’s top clients. While I am a part of the Analytics practice at our company, our client project team consists of a cross practice group with team members specializing in SEO and paid media in addition to my analytics team. Without any prior training, I spent the entire 2017 year constructing automated dashboards that each of our internal practices (Analytics, SEO and Paid Media) could use to replace all of their manual reports sent to the client. Not only has this cut the report creation process down tremendously and helped our internal team discover new insights about online traffic and campaign performance, but our team now has the ability to optimize our campaigns in ways they could not before these dashboards existed. The new visualizations and centralized location for data in these Domo dashboards has changed the way we view, understand, analyze, present and utilize data for the better. It has freed up a tremendous amount of time for our team. This saves the client money and allows our internal team to now spend more time analyzing the data. With this additional time, we can now offer more strategies and tactics to improve marketing performance.

While these dashboards have helped our internal team, the client team is beyond thrilled. They now have easy access 24/7 to real time, automated reports that they can easily share with their entire company. While these dashboards were directly presented and operate under the wing of the Global Director of Digital Marketing, the utilization of the dashboards by this client’s team is expanding. These dashboards combine online performance and conversion data from Google Analytics with data from all media publishers currently being utilized (Google, Bing, Facebook, Yellow Pages, Pandora and Quantcast). This data is combined with budget information where I used regression analysis to predict our ability to stay within marketing budget and meet our lead goals. The client has now requested even more data to be added into Domo from other third party lead drivers that they are utilizing. At the end of last year, I personally initialized direct contact with the CEO of this third party lead driver to have them build a custom solution for our team. Soon, we will have the ability to automate the data pull of their leads, place the data into Domo and integrate the data with our current dashboard set up. Today, I am in the midst of this process and plan to integrate even more data into Domo for this client in the future. The Domo instance for this company is continuing to grow and shape how they make business decisions. Having the ability to view all of their data in one central hub, that not only has data for their corporate site, but their entire global franchise has truly changed the game. This took a tremendous amount of planning, self-training, dedication and perseverance to build. Because of this, at the end of 2017 I got certified in the Domo platform as a professional services consultant.

Produced analytics governance documents and/or monitored compliance?
Throughout the year I have monitored the compliance of implementing utm parameters across various digital campaigns. The goal with this has been to ensure clients properly attribute their channel/campaign traffic so performance can be assessed without skewed reports. I have also monitored compliance to properly implement dataLayer specifications across the site as well as Google Analytics tracking code. I have provided teams with dataLayer specification documents to instruct their web developers on implementation. I then perform quality assurance checks to make sure specifications have been properly set up. In addition, I send out Google forms before client training sessions to structure training agendas around client needs and set expectations for their training take-a-ways. Lastly, when clients are preparing to launch a new web property and we discuss measurement strategy plans and business requirements, I have structured documents outlining the solution design requirements so clients understand the scope of their projects and what the tracking outcome will be. This is necessary for governance and compliance later on because it ensures the client understands how having a central team to implement tracking and remain the admin of analytics tools is important for the cleanliness of their data.

Produced analytic findings or models that led to a significant lift in their organization's KPIs?
Throughout the entire year, one of my main tasks was to perform content analyses on client sites. Sometimes questions that sparked analysis were due to fluctuations in Google Analytics data. But, I also curated a list of content analysis questions that I believed could produce key findings for the client’s digital ecosystem and help drive their business in a positive direction.

One of the analyses I performed that had a significant impact in the organizations KPIs was the following: How many users are engaging with the virtual tour feature of the site? Who is viewing this information and are they more likely to perform a lead conversion? What are these users doing on the site as a whole and what are the optimization recommendations?

In the analysis results, I found that users who engage with a virtual tour on the site have a conversion rate that was 48% higher than users who do not. In addition, 99.2% of users who engaged with the virtual tour converted by becoming an online sales lead after engaging with the virtual tour feature. The users who engage with a virtual tour also view more online content and spend a longer amount of time on the site than users who do not. While these analysis results were game changing, I also found that 60% of the pages on the site that could possibly be utilizing this virtual tour feature were not. In the end, I suggested we optimize the user experience with this online feature by running an A/B test, which resulted in a lift in leads, and expand the feature across the site.

After presenting this analysis to the company’s corporate executives, it brought to light how important this single feature on the website could be for the success of their business in terms of driving online sales lead. They have now notified their marketing managers located in different divisions (cities) around the U.S. to implement this feature on the site because of this analysis alone. For the division managers that have done so, they have seen a significant lift in the volume of leads they receive who actually pay a visit to their brick-and-mortar sales offices. Conclusively, this analysis increased their sales of physical homes. In the end, this truly shed light on how important it is to pay attention to the micro-conversions on websites. They help tell the full story of KPI trends and directly influence business objectives.

Mentored or trained others in the area of analytics or optimization?
Training clients and mentoring co-workers in the area of analytics has become a very regular and important part of my role as an analyst. I realized I have a knack for communication skills, which allows me to train people from a diverse range of industries, departments and experience levels. This has made me one of the go to analytics team members for training presentations. Throughout the past year I have performed on-site and virtual training sessions for client teams up to 30 people per session. The topics I have performed formal trainings on include Google Analytics basic concepts, Google Analytics advanced topics and Campaign Processes and Performance Evaluation utilizing UTM parameters. In the past year I have performed over a dozen training sessions on these topics. I have received extremely positive feedback from clients on the success of my training sessions. I have even seen people that I have trained grow to become the trainer themselves so that their internal, extended teams can experience the power of analytics knowledge, too.

When it comes to mentorship, I have mentored clients and co-workers on how to track, measure, analyze and optimize their websites/campaigns utilizing different analytics platforms/tools/tactics including: Google Analytics, Google Optimize, Google DataStudio, Domo, Google Tag Manager, Adobe Dynamic Tag Manager, Browser Developer Tools, pixel and tagging implementation, measurement strategies, utm parameters, dataLayer implementation and dashboard creation.

Primary Job Responsibilities

• Determine business requirements and identify key performance indicators for clients.
• Structure data collection frameworks and measurement strategies based on client KPIs while securing client approval.
• Implement JavaScript-based tag management tools, Adobe DTM and Google Tag Manager, in combination with analytical reporting tools, like Google Analytics, for online data collection.
• Configure reporting interfaces for data visualization, custom reports and automated dashboards using DOMO, Google DataStudio and Google Sheets.
• Perform in-depth analyses using Google Analytics to provide insight around online site behavior and to provide optimization recommendations in combination with the optimization testing tools Google Optimize and Optimizely.
• Train clients in the use of analytical reporting tools like Google Analytics.
• Consult with clients on the interpretation of the data and how to apply it to their business decisions
• Serve as a supporting point-of-contact for all clients
• Mentor entry-level employees in areas surrounding the list above as they integrate into the Analytics Industry

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)

• https://drive.google.com/file/d/1LFR78oguW9o4GsNs5IY7JSXF-zlkijAN/view?usp=sharing
• https://drive.google.com/file/d/1sSSWhPXDDf7tW8yo9myHABYOWX_C5e64/view?usp=sharing
• https://drive.google.com/file/d/1F5lUOw-ALEq-RBO44fdhmunuWNCYqjUf/view?usp=sharing
• https://drive.google.com/file/d/1kW83Vswe-4CpRpbf5GgW3nPTdbKlSVf9/view?usp=sharing
• https://drive.google.com/file/d/1WHAV7ZE5MYUw8ePOhW37yeOj8nnoI387/view?usp=sharing
• https://drive.google.com/file/d/1qLVQAtWT30xUMcjwLJ_kcFeEsnF9cEUJ/view?usp=sharing

Please share any additional comments
Anna was recently promoted due to her accomplishments.

LinkedIn:
https://www.linkedin.com/in/andrew-richardson-a984627/

Twitter:
https://twitter.com/analyticandrew

Other Public Profile
https://www.analyticandrew.com/blog/

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:
Andrew is deserving of recognition for his commitment to the discipline of marketing science. Clients fortunate to work with Andrew benefit from a heightened level of confidence when it comes to data-driven decision making. Andrew is able to extract or develop relevant KPIs and other measures with which clients can optimize their testing backed by statistically relevant methods and insights; these findings and models often lead to significant lifts in organizations’ KPIs. He is relied upon to produce governance documents and monitor compliance, and he does so with a great level of detail.

To deliver his insights, Andrew is able to introduce and implement new marketing technologies that deliver results in a digestible way for stakeholders at all levels of the organization. His ability to present analytic findings and recommendations to senior management teams is a valuable asset in helping prove the validity of results and ensure clarity and confidence from within an organization.

Further, he’s often sought after to mentor and train other professionals in the areas of analytics and optimization. His knowledge and expertise is an asset and any team member receiving guidance and mentorship from Andrew is sure to have an advantage above their peers.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Andrew spoke at eMetrics Chicago in 2017, where he delivered a session on Building a Testing Playbook. In this session, Andrew provided a look into how he and his teams have prioritized testing, how they recruit, train, and staff up for a testing practice, and how they have shifted from A/B to multivariate testing.

Andrew was also an organizer and host of the DAA Symposium in Philadelphia in 2017, 2016, and 2015, a symposium designed for for anyone who produces and supplies analysis to those who make business decisions based on reports or analysis.

Primary Job Responsibilities

As Director of Analytics at Elite SEM, Andrew is responsible for leading the team that researches, analyzes, and reports on data generated through Elite SEM’s service offerings & client-provided data.

He spends his days managing teams conducting extensive digital marketing reporting and analysis work including multi-channel reporting, media mix modeling and forecasting, cross-channel campaign and promotion analyses, and gap/variance analyses on all major marketing KPIs. His vision is to identify opportunities to help clients create significant value from their analytics infrastructure fed by their digital media investments.

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
https://www.analyticandrew.com

Please share any additional comments
In October, Andrew was interviewed by Rebecca DeWhitt, a Digital Marketing and Content Strategist at Fox Management Consulting at Temple University. In this video, Andrew talks about connecting your digital marketing data deeper into your business and how he puts this into practice. A must-see to understand Andrew’s point of view and to see him in action as a passionate advocate of marketing and analytics.

LinkedIn
/in/samruchlewicz

Twitter
@samruchlewicz

Other Public Profile
https://www.warschawski.com/about-us/team/sam-ruchlewicz/

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Over the past year, I've been named a "Marketer of Tomorrow" by DMN, worked with more than a dozen companies in both the B2B and B2C spaces to harness the power of their data and ultimately, uncovered actionable insights that have helped them to increase efficiency, efficacy and profitability. Here is one example of how I've done this for a B2C sporting goods retailer, which led to a 129% increase in profitability in just one year: http://painepublishing.com/measurementadvisor/upping-the-game-how-marketing-analytics-improved-a-sporting-goods-companys-sales/

I've focused my analytics work on developing and introducing new KPIs and metrics that properly align with both the customer's intent and the business goals for which my client is trying to solve. I'm a firm believer in creating "meaningful metrics" -- those that are actionable and predictive -- that align with my client's goals and encourage them to solve for a global maxima. In the marketing communications space specifically, my focus is on better modeling and quantifying the bottom-line impact of various campaigns and initiatives -- something that, until now, has not been done consistently.

In addition to developing new KPIs and utilizing marketing technologies to better capture and process data, I've trained our internal team (my responsibility includes supervision of the agency's digital & data teams) on data analysis best practices. I've written data governance documents, created data capture plans and shared the results with senior leadership through in-person presentations and through the creation of data visualizations. Internally, I've developed and rolled out a suite of new analytics services for our clients following a successful presentation to our CEO and COO.

In addition to my work for the agency and our clients, I have mentored and trained a team internally at Warschawski, as well as developed/taught classes at Cabrini University, Loyola University's Masters’ Program, The Johns Hopkins University and Betamore (a Baltimore-based incubator, co-working space and technical education institution).

I am a published author, graduate-level instructor (Loyola University, Johns Hopkins University & Betamore) and frequent guest blogger on the topics of Advanced Analytics & Data Modeling, SEO, SEM, Display/Video Advertising, Business Analytics & Content Marketing.

In addition, I am a frequent contributor to some of the digital marketing industry's top publications, including Convince & Convert, Duct Tape Marketing & Marketing Insider. In the past year, I've spoken at more than 10 industry conferences and events, including the 2017 PRSA MD Conference (which earned this write up from Katie Delahaye Paine: http://painepublishing.com/measurementadvisor/sam-ruchlewicz-is-measurement-maven-of-the-month/), the 2017 SMASH Conference on Lead Scoring & DAA Philadelphia Symposium on the topic of Ethics in Analytics.

Primary Job Responsibilities
My primary responsibilities include oversight of all digital strategy for each of the agency's clients, management of both our digital and data analytics teams, internal and external advocacy for analytics and digital strategy, and playing an active role in new business.

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
https://drive.google.com/open?id=1e8hIruKBqDUSjPSHtqznF1PX9fe0EL2E

Please share any additional comments
I am a DAA member!

LinkedIn:
https://www.linkedin.com/in/evan-vermilyea-390320112/

Github:
https://github.com/evrm1ya

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Mentored or trained others in the area of analytics or optimization.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Evan is an innovator who ensures the success of his client partners. His approach to problem-solving is collaborative, creative and customized to the complex technical environments that exist across enterprise organizations. Being in the analytics industry for less than five years, Evan has done an extraordinary job at developing analytics processes and governance mechanisms that have translated into operational efficiencies for client organizations.

Evan recently worked with an Evolytics clients to establish a new technical performance indicator to understand the measurement of the Analytics Implementation Effect on Site Performance. This performance metric considers the weight of the analytics code on page load time.

• Analytics Challenge:
  There was pre-existing analytics code on the page that was more complex than necessary, causing page loads to be slower than targeted goals set by the client team.

• Analytics Solution:
  Evan evaluated the code and created an updated version that minimized the runtime on page load calls. For example, his new code decreased page load time on Android devices by 500 milliseconds. This solution is anticipated to have a significant impact to the business, as the client team believes that decreasing page load time is critical to increasing conversion rates.

  In addition to architecting the technical code to reduce page load time, Evan also created a Tableau-based report that monitors consistencies in beacon requests as implementation updates occur over time, providing alerts to team members when anomalies in analytics code instrumentation occurs. In addition, the report compares DOM Content Load Time and Page Load Time between implementation updates.

  Please reference the below work sample for the Analytics Implementation Effect on Site Performance Tableau Dashboard.

  In order to compare data at the variable level from implementation to implementation, Evan additionally created an Adobe Analytics Workspace report that monitors data collected in support of key metrics against the current implementation versus the new implementation.

  Data to populate the quality assurance reports is generated automatically using NightwatchJS. This customized data governance methodology is automated centrally within Adobe Analytics which provides the client team with an easy-to-access monitoring system.

• Analytics Results:
  Both data governance reporting mechanisms have been presented to senior leaders within the client organization and are relied upon to understand performance opportunities and make architecture decisions within the technical environment.

Primary Job Responsibilities
As an Analytics Engineer, Evan leads technical solutions development for his clients. At Evolytics, he quickly developed a reputation as a go-to problem solver for technically accomplishing the trickiest, most intricate measurement requirements. His job responsibilities include understanding business needs and ideating new approaches to data collection, developing code, and testing new analytics solutions.

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)

https://drive.google.com/open?id=1ItQ6VkOx4AkwSDcfq0-usLwjL6_t1e8d

Please share any additional comments
Keith Cheung, Director of Digital Analytics for Realtor.com, provides a powerful recommendation for Evan by saying, “Evan Vermilyea, our analytics technical development partner at Evolytics, is an excellent choice for Top New Practitioner-DAA Quanties because he always delivers beyond expectation. Evan stands out from other consultants I've worked with over the last 20 years of my career, because he goes above and beyond with his initiative and commitment to get the job done. He creates new, creative technical solutions customized to our complex technical environment, and provides thoughtful opinions and perspective to ideas that have evolved our analytics organization at Move/Realtor.com. He is in it at 120% every day. He is truly committed to helping our analytics team and the Realtor.com business be successful. I encourage those voting for Top New Practitioner to consider Evan Vermilyea for this award.”

LinkedIn
https://www.linkedin.com/in/vincent-wu-15b20918

Twitter
https://twitter.com/INMAorg/status/865211581361270787

Has this nominee been employed in an analytics role for 5 years or less?
Yes. Vincent joined the analytics space in 2015. Prior to that, Vincent’s professional work was mostly focused on strategy & management consulting.

Accomplishments:
The Huffington Post(‘HuffPost’), one of the world’s largest digital news publishers with 200M+ monthly visitors (via comScore) and 17 editions globally, was once operating primarily based on its leaders’ subjective ituition and experience in digital content creation. While this “ituitive” opering model supported HuffPost’s growth in 2010-2014 (the initial growth period of digital news media vs. print), it was under serious challenge in 2015 due to more competitor entries (e.g., Vice Media, Vox Media), catching-up by traditionally non-digital players (e.g., CNN), and more sophisticated digital distribution landscape (e.g. social, personalization, big data).

Vincent joined HuffPost in early 2015 because he believes in the power of data & analytics, and how analytics can disrupt the traditional ways of doing business in digital media. Prior to HuffPost Vincent was primarily focused on the corporate strategy and management consulting areas. Soon after Vincent started this new career track in analytics, he built an analytics team with 10+ people from scratch, developed a completely new approach to apply analytics insights to digital news content creation (the most importantly, how to ensure reporters, journalists, and video producers will adopt those analytics insights in their daily work), and started to measure success using metrics & analytics for the entire HuffPost newsroom. In less than two years, through Vincent’s leadership and fearless efforts, HuffPost made a tremendous operating model change from ituition oritented to analytics oritented, and achived a few signature wins and growth stories – widely considered as the results by embracing analytics:

• Grew social presence by adopting in-depth data analytics in audience, content, and distribution social strategy. Achieved “The Biggest Facebook Publisher” for two consecutive years in 2015 and 2016 (via Newswhip, source here)
• Grew video traffic and revenue by 5x in less than 10 months, by embracing contextual topic analytics in the video production process. By mid 2016, achieved ONE BILLION video views per month across platforms with only ~1/10 of production budget vs. other online video studios.
• Conquered one of the most difficult spaces in terms of applying data analytics – content creation and editorial operations. Vincent led the team and went very deep in content analytics – applying Natural Language Processing as well as Machine Learning in editorial analytics – and drove significant adoption in the newsroom of using advanced analytics to help topic selection, editorial strategy, and distribution optimization. Averagely we see 25% lift in articles with analytics support vs. articles without analytics support. Editors now love working with the analytics team because they understand analytics can improve their work performance! An example of the work can be found on this deck: https://docs.google.com/presentation/d/1UiQ-QcD7tKTPdzrqP-HQm1-UaWQU4_GuUpNXEtIcsv0/edit?usp=sharing

  Presentation at DAA New York Symposium 2016 on distributed content analytics: https://www.digitalanalyticsassociation.org/symposium2016-nycspk

• Established the Data Culture and Analytics as a Core Competency. Vincent and his team didn’t just settle on supporting other teams to use analytics and their recommendations. He built the culture of data together with senior leaders in the newsroom (e.g., the HuffPost Editor In Chief) and incentivated editors who embrace data in thei daily work. What’s more, he actively helped grow non-analytics professionals to learn and adopt analytics in their work, and gradually made HuffPost as a famous place in terms of the data-driven culture and the ability to apply data in decision-making. Example of articles describing the data-driven culture at HuffPost: https://www.huffingtonpost.com/entry/post-election-trump-fatigue-politics_us_5a6a3ed0e4b0ddb658c4b52b?uf
• Analytics as A Pillar: Under Vincent’s leadership, the analytics team has changed from being a reactive “service team” sitting in the corner, to a proactive team acting as the center of HuffPost connecting with all other pieces together (editorial, video, product, revenue, marketing, etc.). Today the analytics team has 10+ data professionals ranging from data strategists, data engineers, data scientists, and data analysts, making significant impact and influence to the top-management’s decision-making.

  Vincent’s Keynote Speaker presentation in Big Data forum by INMA (International News Media Association): https://www.inma.org/blogs/conference/post.cfm/how-huffington-post-looks-at-distributed-content

• Efforts to build new industry stand of success metric for digital media: Another innovative and impactful project Vincent led and launched was to use data analytics to solve a long-term & real issue in the digital media world: how to measure the real social impact of digital content (e.g. an investigative journalism article) when today most of the social platform traffic favors content like a ‘cats and dogs’ video? Vincent led the team apply data science and partnered with Universities such as The Smith College to develop the first-of-its-kind “Impact Score” in the digital media industry: https://docs.google.com/presentation/d/19pz6qhrH5wqWUQb0xVlMHN-kc4SjJFid0qELzNvjKx4/edit#slide=id.g328d73a60d_2_435

Because of the huge success in data & analytics, Vincent was promoted to the Head of Operations (COO) after serving 2 years as Director of Analytics. Vincent also takes an important seat in the top leadership team of HuffPost(See leadership team here). Also, Vincent’s job scope and responsibilities were also expanded from HuffPost only to now also include large digital news properties such as Yahoo.com and Aol.com. The scale Vincent’s team is now managing is enormous: 300M+ global audience and $800M+ annual advertising revenue in 23 countries.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Overview of Data & Analytics at The Huffington Post
https://docs.google.com/presentation/d/1kpjwsinH3Lo-q4o-1L71AWNfDIgsC6iX_KYL9GvT4Yo/edit#slide=id.g3468fefca8_0_141

Primary Job Responsibilities

Head of Operations and Analytics (COO), HuffPost

Lead everything about Data, Analytics, Operations, Performance, Finance & Marketing at HuffPost. Particularly, strong focus on applying data analytics in daily news editorial and content production to drive:

• Audience development growth
• Monetization/finance growth
• Efficiency gain (with the same resource, how to maximize the yield?)
• Growth initiatives (measuring success and prioritization of investment)
• Audience acquisition and retention (own HuffPost’s marketing budget), by using advanced analytics techniques and models (e.g., LTV-based targeting)

Report to the CEO of HuffPost for all the key responsibilities above. Sit in the “Cabinet” of the company’s 6-person leadership team (CEO, Editor-In-Chief, Head of Operations, Video Lead, Product Lead, and Business Lead)

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Analytics article published on HuffPost and Parse.ly:
https://www.huffingtonpost.com/entry/post-election-trump-fatigue-politics_us_5a6a3ed0e4b0ddb658c4b52b?uf
https://blog.parse.ly/post/7039/trump-fatigue-reader-engagement-post-election/

Employment start date with current employer
25/07/2016

LinkedIn:
https://www.linkedin.com/in/chiragdeshpande/

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Please elaborate on the accomplishments selected above.

• Led the initial setup for the site and out of the box Analytics for – The Urban Brick. o The Urban Brick is a small business driving a Social Entrepreneurship program. The organization is based in California with the purpose of proving a helping hand to the society. The organization provides support towards helping educate underprivileged children in India through the sales of their products.
• Providing a comprehensive Analytics planning and strategy program.
• Reviewing all Google Analytics data captured on the eCommerce site.
• Providing support to review the dashboards and understanding the data to drive insights for paid and targeted advertising.
• Working on identifying paid and social media interactions and areas of investment to grow.

Primary Job Responsibilities

• Setup out of the box analytics tracking and reporting capabilities
• Tracking and reviewing dashboards on a weekly basis
• Providing support and expertise to understand the data being collected. Identify/recommend areas of opportunity and/or improvement.

Relevant links to organizations served, project examples
Theurbanbrick.com
https://www.etsy.com/shop/TheUrbanBrick

LinkedIn:
https://www.linkedin.com/in/davidgatdula/

Twitter
@AnalyticsDave

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Accomplishments

• Served as a mentor or analytics evangelist to an under-served population.
• Used their professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.

Please elaborate on the accomplishments selected above.
Privately provided pro bono analytical support for multiple professionals and businesses Currently Acting as a mentor to DAA member Volunteering for the DAA since December 2016 in the following facets: Volunteer DAA Chapter Co-Leader, organizing symposium and chapter events Volunteer member of the CWA Certification Exam committee Planned and scheduled Thought Leader Conversation Webinar on GDPR (was pushed to Jan 9th 2018) Volunteer member of the Community Task Force Volunteer of the UBC Course Material text edits and revisions task force Have been highlighted in the DAA Community as a part of the member spotlight Currently using my position within Hilton to evangelize the use of the DAA as a way to volunteer and serve the digital analytics community by volunteering and transferring knowledge and subject matter expertise.

From a second nomination:

Dave is pretty awesome. He is always willing to help others. He has helped me understand analytics concepts and troubleshoot my projects. And I know he is active in the various online analytics communities, answering questions and promoting the DAA community. He is also a chapter leader for the Dallas Chapter and has been an energizing force in the chapter. He even MC’ed our 2017 Symposium (no one else even came close to volunteer). He was also the DAA champion at Hilton and was key to getting Hilton as a corporate member.

In addition to his chapter leader duties, he volunteers on other DAA committees. The certification exam, community task force, UBC content revision group, and participated in the GDPR Thought Leaders conversations call.
Dave rocks!

Primary Job Responsibilities
Sr. Analyst, Digital Customer Analytics & Cross-functional Business Adobe Analytics SME. Act as liaison to multiple business units and stakeholder groups, including Paid Media, Social Media, SEO, and eCommerce. Leading online-offline data collection and analysis project teams and delivering analysis to senior management and executive leadership.

• Build analytics strategy and elevate the analytics platform to achieve a data-driven digital marketing culture
• Lead the effort to define, measure, and tell the story of digital marketing efforts to determine brand and campaign effectiveness
• Manage client relationships, and proactively engage them, while serving as the SME for analytics across all digital channels (web, media, social, etc.)
• Effectively manage and mentor a team of analysts by allocating resource assignments accordingly, developing team members to analytics rock stars, and maintaining a positive environment
• Create and execute a site optimization plan that includes personalization, targeting, A/B and multivariate testing
• Leverage data to gain insight into trending, sentiment levels, user experience and behavior in order to drive the appropriate digital marketing strategies
• Measure site usability and effectiveness, along with monetization of media campaigns, and present actionable insights and recommendations to executives
• Assist in tag management services and user acceptance testing of site tags in order to maintain integrity across multiple sources of data
• Provide direction on integrating disparate sources of data, ultimately setting the blueprint to migrate to a big data environment
• Data analysis to A/B and multivariate testing results, and ad hoc requests
• Partner with stakeholders to implement analytics requirements and streamline project processes.
• Evaluate and recommend digital marketing tools and products.
• Perform competitive analysis

Please share any additional comments
Receiving this award would be an incredible achievement for me personally and professionally. I strive to give back whenever I can, and making a difference in the community around me and in the profession I’m passionate about is always a priority

LinkedIn:
https://www.linkedin.com/in/bethany-hartley-1b668536/

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Please elaborate on the accomplishments selected above.
Excited and inspired by the opportunities to make a difference in the lives of thousands of children, Evolytics sought out work with Children International (CI).

CI was working on a multi-year plan developed around a goal of serving 1M children by 2025, and data played an important role in the plan. In order to help fulfill the organization's growing data and analytics needs, a new Constituent Understanding & Insight (CU&I) group was formed. To help guide the growing CU&I team in its use of data, CI requested Evolytics to conduct an end-to-end audit of its programs data.

Given the client, and the opportunity to so directly use data to impact the world, Evolytics offered to subsidize the work. Given the breadth and highly strategic nature of the project, Bethany Hartley, Director, Marketing Analytics, chose to lead the project personally. Supporting her on the project was Evolytics CEO Tom Wilkins, who shared her passion for the organization as well as the work.

Bethany spent days on site with CI, interviewing individuals from analytics, operations, marketing, donor development, finance, and IT, to understand the wealth of currently available data: business questions currently answered by the data as well as new questions needing answers, processes for various kinds of data collection in the field, data aggregation processes, reporting needs, analysis needs, and processes for reporting and analysis execution, opportunities for future analysis and testing.

To ensure a comprehensive audit representative of all of CI's opportunities with data, Bethany used the Evolytics Data Lifecycle as a framework for the audit. She worked tirelessly to distill the disparate findings from each department and individual, find connections and synergies, and prioritize both the current successes and opportunities. She also provided creative ideation for solutions that took into consideration CI's unique operational challenges: multi-lingual operations, cultural contextualization of data, staff member safety considerations, limited internet connections, and limited access to transportation.

Bethany's audit deliverables to CI included a prioritized engagement plan focused on the top five most pressing needs across the Data Lifecycle, a presentation summary of the key findings and recommendations for each stage of the lifecycle, and a detailed written report of all findings and recommendations. These outputs were shared across the organization and have informed 2018 project charter prioritization as well as resource allocations.

Primary Job Responsibilities
With efficiency and scalability key to the success of CI's data strategy, Bethany's responsibilities for the data audit included 1) understanding the current state of data collection and management, 2) developing a future state of data to be collected and associated processes, and 3) building a roadmap to get to the future state based on organizational priorities and readiness.

Bethany's project approach to accomplish these three responsibilities included creating a project plan and timeline, managing client communications, interviewing cross-functional stakeholders, reviewing example reports and analyses and associated process flow diagrams, developing an audit framework, identifying themes and organizing information, ideating solutions, prioritizing recommendations, authoring a formal report, building a presentation, delivering a presentation, and facilitating discussion on action items.

Relevant links to organizations served, project examples
Client Website: www.children.org

Please share any additional comments
Susana Eshleman, CEO of Children International speaks highly of both Bethany and her work, "Bethany's commitment to our mission, and her constant focus on our goal of supporting 1 million children by 2025, produced a very comprehensive audit that addressed our successes and opportunities across the entirety of the data lifecycle. We were immediately able to take action based on the findings, and she's now leading several follow up projects for us, making a positive impact on our operations, and the world."

Bethany also notes, "With Evolytics I'm fortunate to have an employer that recognizes the limitless potential of data, and the opportunity that we, as analytics practitioners, have to drive meaningful change. What's more, Evolytics' supporting me and my time with an organization like Children International allows me to personally live our mission and use data to make a difference in the world.

LinkedIn:
https://www.linkedin.com/in/lisensee

Twitter
@leeisensee

Accomplishments

• Bringing over 4,000 digital marketing professionals and executives together for unpresidented access with-in the digital marketing community.
• Positively influenced; industry employment, understanding of vendor, agency, and Practitioner needs, group problem solving, and vendor interaction with end users.

Please elaborate on the accomplishments selected above.
With the growth of the popular communication platform Slack, Lee Isensee saw opportunity to create and give back to the analytics community that he's spent twenty years in, and created "Measure Slack." Measure Slack is a thriving, FREE educational, networking and community resource for anyone working in analytics and related fields.

Measure Slack currently has over 4,000 worldwide members, including 1,000 ACTIVE weekly users! Since its creation, there have been over 400,000 messages sent, and currently averaging almost 30,000 per month. There are channels dedicated to Adobe and Google Analytics, as well as broad topics such as data science (such as R), BI/data viz solutions (such as Tableau or Domo), tag management, testing and optimization, a job board, as well as the DAA and support for local community interaction (and many more.)

Lee has created a safe, supportive environment for analysts, vendors, and agencies to learn from each other, share knowledge, and grow as individuals, as well as for us to grow as an industry. This field evolves so quickly, that this kind of real-time collaboration and sharing is key to an analyst’s success, and Lee has created the perfect environment for it.

Managing such a community is no small task. To ensure that the trust of the community is not violated, and Measure Slack users aren't spammed or marketed to without their consent, Lee manages the addition of all users, including a manual verification of each new user’s identity. This ensures the continuing quality of the community and its contributors, but it is no small feat - these administrative tasks take significant time each week. There are also enforced “rules of conduct” to ensure that members have continued good experiences, which Lee monitors on an on-going basis.

Where there have been (rare) violations of the terms of Measure Slack use, Lee fairly deals with the offenders in a way that is in the best interests of the community. To ensure Measure Slack is not subject to the "rule" of one person, Lee consults a team of advisors when decisions need to be made on (for example) violations of the terms of Measure Slack.

On top of these responsibilities, Lee manages a related website to guide users in how to use Measure Slack, as well as an onboarding guide for new users and on-going channel maintenance, to make sure that it's a helpful (but not overwhelming) place for a newbie to come in to. When people have questions about how to use Measure Slack, Lee is there to guide them.

Additionally, Lee has created and manages a Measure Slack wiki to facilitate long-term retention of the fast paced conversations had in the Measure Slack channels, thus allowing Measure Slack to become a source of information for the users later on.

Here is what some community members have to say about Measure Slack:

"Measure Slack is without a doubt the best resource an analyst in our industry has. There have been many occasions where I asked a question, and had someone half way around the world take the time to help me out. Measure Slack is the epitome of our community, where analysts can help one another."
-Moe Kiss

“The Measure Slack team has become an absolutely crucial tool for analysts. Slack itself is taking the world by storm, but the Measure Slack — largely due to Lee’s time, effort, and thought — has become a near-perfect blend of the scale and community of Twitter with the organization and personalization of, well… there’s no comparison. It’s open to all… but Lee manages a low bar to entry so that everyone has to acknowledge some basic (but critical) guidelines. When hiccups have hit the community here and there, Lee has quietly and effectively dealt with them. I’ve come to rely on the community in very specific ways: for ‘discovery’ of news and topics and ideas (by browsing specific channels) to getting support on specific questions/problems (by posting in the relevant channel) to quickly having 1:1 discussions with a range of community members. We tout it on every episode of [our podcast, The Digital Analytics Power Hour] because all three of the hosts have seen and benefited from the power of the platform. Slack itself, of course, is ‘just a tool’ — it’s a powerful enabling technology. But, the Measure Slack itself has grown and continues to be such a great resource: 1) because it exists (and it was Lee’s idea), 2) it has clear guidelines for behavior (which Lee created and enforces on the rare occasions when it’s required), and 3) it’s well organized (which Lee has been on point to ensure a good balance between having enough public channels that there is always ‘the right’ place to have a discussion, without having so many channels that it is overwhelming).”
- Tim Wilson

The work Lee has done in creating and managing Measure Slack is a huge contribution to an industry that Lee has already given so much to, not only via his work, but also via his roles on as DAA Membership Committee Chair, co-chair of the Boston Local Chapter, involvement with the Standards Committee (co-author of Web Analytics Definition Guide), and even contributing to the W3C Data Layer Standards.

Measure Slack makes a difference in analysts’ lives, daily, and we are appreciative of the hard work Lee has put in to the creation, development and on-going management of this free community.

Additional information:
About Measure Slack: https://www.measure.chat/
Join: http://join.measure.chat/

Primary Job Responsibilities
Founder, Measure Slack

Relevant links to organizations served, project examples
About Measure Slack: https://www.measure.chat/
Join: http://join.measure.chat/

Accomplishments

• Served as a mentor or analytics evangelist to an under-served population.
• Used her professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.

Please elaborate on the accomplishments selected above.
June has clearly put the chapter leadership work in her top list, among her already many hats. She led 8 local chapter events in 2017, following 4 events in the second half of 2016. Her contributions are listed below:

• Led the end-to-end process from idea generation to organizing evening events, usually in different locations in Toronto.
• Drafted well-crafted emails, and coached volunteers like myself to make sure the communication to members are always top in class and professional, building a stronger DAA member volunteer pool in the Greater Toronto Area to sustain chapter momentum.
• Most importantly, she set up great examples of how the leader in this analytics community should look like, through her actions. Because of the high quality of our events, Mozilla, Tealium, Critical Mass and LoyaltyOne (AirMiles) are repeat event sponsors.
• Our events regularly attract 40-60 attendees, many of whom are not DAA members, giving us all great networking opportunities.

In March 2017, June approached DAA Executive Director, Marilee Yorchak, with the idea of a setting up a second chapter in Canada. Transferring the experience gained in the Toronto chapter (launched in 2014), she helped catalyze the launch of the Vancouver chapter, whose first meeting was held in February 2018.

Always interested in professional development, June introduced Marilee Yorchak to a new DAA instructor based in New York, helping support DAA educational efforts by expanding the instructor roster.

Primary Job Responsibilities

• Toronto Chapter Leader, DAA, leading evening events
• Co-organizer of the first DAA Executive Breakfast in Toronto attended by 12 Marketing leaders (Directors, VPs and CMOs)

LinkedIn:
https://www.linkedin.com/in/prolet/

Twitter
@proletm

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Accomplishments

• Served as a mentor or analytics evangelist to an under-served population.
• Used their professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.

Please elaborate on the accomplishments selected above.
It is the work that Prolet does outside of her job that makes her a good candidate for this award. She runs MeasureCamp SF (which is no small feat!), volunteers through the DAA WiA program and also ran a WiA program for Autodesk and other SF organisations. She is an active member of the community helping run the SF DAA chapter and local events. She is often the first person putting up her hand to volunteer time and without people like this in our community, we would not have the incredible culture we have. She recently provided me with a great deal of support in running MeasureCamp Sydney, helping with logos, brainstorming, session planning and the like.

Primary Job Responsibilities
Prolet is Head of Web Analytics Platforms at Autodesk.

Relevant links to organizations served, project examples
NA - her work is event by the success of the events she helps run.

LinkedIn:
linkedin.com/in/maryo

Twitter
@AnalyticsMary

Other Public Profile
http://maryowusu.com

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Accomplishments:

• Served as a mentor or analytics evangelist to an under-served population.
• Used their professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.
• Used their analytics skills to advocate for social and/or charitable causes.

Please elaborate on the accomplishments selected above.
Spend five minutes with Mary and you’ll quickly see her passion for helping women and racial minorities thrive in the tech field. Although she holds the title of Vice President of Analytics and SEO at Mower Agency (mower.com), Mary’s work and influence goes well beyond the workplace. She makes time to spread analytics culture throughout her local Buffalo, NY community and in Africa! Since 2012, Mary has been a member of the Canisius College faculty, teaching analytics and search to both undergraduate and MBA students. In that role, she has produced some of Buffalo's youngest digital professionals many of whom are now working in analytics community with a STEM expertise that’s in high demand. In addition, she has mentored several female students over the course of her teaching career, many of whom are accomplished professionals today, working in the private, public and nonprofit sectors.

Moreover, Mary serves as digital marketing and analytics head for Future in Our Hands-USA (FIOH-USA), a 501c3 which funds sustainable projects for families in Kenya and Tanzania. Her analytics work for the organization has elevated awareness of the many causes it stands for, including the Stop the Spot project which ensures young girls have the sanitary napkins they need to continue to attend school during their monthly menstrual cycles.

Her commitment to gender and racial equality can be seen in her frequent conference talks on the topic. She actualized her belief in equality by developing a marketing tool that elevates women to higher ranks within their organizations. Her innovative “Success Plan” – an executive-format, data-driven measurement roadmap used by brands large and small – has allowed marketers across all sectors to overcome the age-old challenge of tangibly proving marketing’s contribution to business outcomes that matter to the C-Suite. Considering the glaring diversity disparity that exists at the senior levels of corporate America, it’s no small feat that her invention has elevated marketers (most of them, women) to roles where they now get to have a voice in setting and steering corporate strategy. No wonder marketers at some of the world's most recognized brands seek her brain on how to truly measure marketing success. Simply, Mary’s ability to translate complex data sets into simplified conversations about the trends and behaviors happening within a marketplace, has helped both for-profit and not-for-profit organizations make meaningful change.

Primary Job Responsibilities
Mary Owusu leads the analytics and organic search (SEO) disciplines at Eric Mower + Associates. With a strong background in performance measurement, Mary specializes in translating complex data into conversations about the trends and behaviors happening within a marketplace, then provides a roadmap of how businesses can use those insights to gain a competitive advantage. Her past and present client list includes Ford, Chiquita Banana, Truly Good Foods, Welch Allyn, and Siemens.

Relevant links to organizations served, project examples
www.Futureinourhandsusa.org
www.canisius.edu/
www.mower.com
Mary Owusu

LinkedIn:
https://www.linkedin.com/in/judahphillips

Twitter
@judah

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Accomplishments:

• Used their analytics skills to advocate for social and/or charitable causes.

Please elaborate on the accomplishments selected above.
Judah helped several non-profits in 2017 by providing free or discounted services for enabling analytics, including but not limited to the United States Holocaust Memorial Museum (USHMM). For the USHMM, Judah and his team ensured the musuem was:

• Accurately measuring the size of their digital subscribers
• Fully accessing and using the data about their subscriber’s attributes and demographics
• Operationalizing the subscriber data via marketing automation systems
• Ensuring the subscriber data could be segmented, reported, and targeted in marketing programs
• Reporting the behavior and outcomes

Primary Job Responsibilities
CEO and Chief Analyst

Relevant links to organizations served, project examples
www.ushmm.org

LinkedIn:
https://www.linkedin.com/in/steenrasmussen/

Twitter
@strasm

Accomplishments

• Served as a mentor or analytics evangelist to an under-served population.
• Used their professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.

Please elaborate on the accomplishments selected above.
Steen Rasmussen is one of Europe's leading voices within the digital analytics industry, who is regularly invited to share his thoughts at conferences and company events throughout Europe, Asia and North America. Steen Co-founded IIH Nordic in 2005 in order to help a board range of companies navigate through the huge amount of sometimes polluted data, to get a clear view of the potential that lies in understanding this data. Bringing together an amazing team has resulted in IIH Nordic being voted as the leading Danish Analytics Agency by more than 700 marketing managers the last 6 years in a row. For more than 10 years he has been the driving force and organizer behind Web Analytics Wednesdays in Denmark (approximately 5 times year), and have expanded it to be an evening free evening conference with international speakers sharing their experience to an audience of up to 400 people at a time. In 2017, he brought the Web Analytics Wednesday to Amsterdam and was also responsible for bring MeasureCamp to Copenhagen. Steen also invests his time to industry associations as a Country Chairman for DAA Denmark, Member of Advisory Board for E-Maerket. Through this effort he have helped create one of the most vibrating and living analytics community impacting far beyond the company.

Steen has been sharing his invaluable insights and experiences as a renowned speaker and specialist at the Google Partner Academy over the past couple of years. He has also shared his knowledge globally as keynote speaker at events from Silicon Valley and New York over Barcelona and Budapest to Mumbai.

Primary Job Responsibilities
As senior partner it is Steen’s responsibility for evangelizing the business value of a data driven approach to companies across the world. It is his job to ensure that deliverables live of to the original vision of the assignment.

Relevant links to organizations served, project examples

• Member of advisory board, 2012 – present
• e-mærket Google Partner Academy Program Trainer and Speaker, 2013 – present
• Google Board member of eMetrics Stockholm, 2012
• eMetrics Stockholm Country representative Denmark, 2008 – present
• Digital Analytics Association Board member in the Membership Committee, 2007 – 2012
• Digital Analytics Association Co-Chairman at the Certification Board, 2012 – present

Company URL
Analyticspros.com

LinkedIn
https://www.linkedin.com/company/analytics-pros/

Twitter
https://twitter.com/analyticspros

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://drive.google.com/open?id=1BHQq-7j2xTfTsw5q8ZBTY43gUSwKqqXj
• https://drive.google.com/open?id=1q1o1fZHvsaOzQJnu7N8bcJ70X3ImdmVw

Case Studies

• https://docs.google.com/presentation/d/1i0VykRaKxhhI4NunV_xzBYXV7H4HLvBvsBY9oBqbQqs/edit?usp=sharing
  • July, 2017
• https://docs.google.com/presentation/d/1lj7GbgW3pntgJanciHVEMPkV0HHiiLl_P4M1Hw4aYQU/edit?usp=sharing
  • January, 2017

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
Analytics Pros created the moniker, Analytics Pros Academy (APA), to help foster an understanding and appreciation for digital analytics in our community as well as across the country. In 2016 and 2017, APA hosted several Veterans Trainings for veterans and their family members. These sessions were free and geared toward kickstarting new careers or interests in data post-service. Each session covered a variety of topics from digital analytics 101 to more specific tools, methods of analysis, and how to use the Google Analytics platform. As well, Analytics Pros has not only supported Medical Teams International in physical aid (bi-annual volunteering days, ongoing donations, and setup for their annual summer gala) but also provided MTI with pro bono website work.

Please share any additional comments
Analytics Pros is a digital marketing and analytics consultancy specializing in web & mobile app analytics, tag management, dashboards & reporting, SEM, web optimization, & telling the story of our clients' data. More than just numbers, data is the story of us!

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://app.box.com/s/me04n7w4djuomzax0ppjb4xb4d8v8qv8

Case Studies

• https://app.box.com/s/2kajjnbq5ij7dyhznv3cygafm3qgikse
• https://app.box.com/s/pqbvzqe9ffasfcy988ei6us8yn26q26s

Company URL
www.cardinalpath.com

LinkedIn
https://www.linkedin.com/company/cardinal-path/

Twitter
@CardinalPath

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://docs.google.com/document/d/1Qa8kee91ci7otzwKpkc-I-fFflImmtK7yT-GnA3u9_M/edit?usp=sharing
• • https://docs.google.com/document/d/11AGv1YNc4W9W7Vls7GgDrTwx8VnW8BBmqwCy_XK19v4/edit?usp=sharing

Case Studies

• https://docs.google.com/document/d/184mAoWSAOXv2P6FMzJkeBJ5FamiZIodPg9oeyDjsTPc/edit?usp=sharing
  • o June 2017 - and ongoing
• https://docs.google.com/document/d/1Pc9I3D1FgGg8O8vyoYDCEHwwvFMLXUJVAvyqar-piD0/edit?usp=sharing
  • August 27, 2017

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
https://docs.google.com/document/d/13gV2S2GDFjjwpxNGXwZ3QieCx2pxcLcPROA4zXPaQSY/edit?usp=sharing

Please share any additional comments
In the spirit of this ever-changing MarTech and analytics space, Cardinal Path has evolved and expanded while staying true to its core values: investing in process to set strategy free, engaging in the world to understand the data, doing business with integrity and valuing individual contributions while understanding it’s the team that makes the difference. Cardinal Path is a team that makes a demonstrable impact. Their clients are with them over the long haul – Cardinal Path has a 95% retention rate of top 25 clients, among them some of the biggest brands in the world. And yet this is still a scrappy firm, possibly due, at least in part, to the fact that its people love what they get to do every day. With a start-up mentality and just over 100 employees across North America, its sum is greater than its parts with a global, Fortune 1000 client roster that is rapidly multiplying.

The more Cardinal Path proves the business value of marketing analytics, the more organizations are willing to invest in data strategy. Through Cardinal Path’s advisory, expertise, leadership and straight-up hard work, brands are seeing the value in digital analytics and using this business value to re-invest in their internal analytics teams.

Cardinal Path are educators at heart. As of 2017, they had trained over half a million people worldwide, both through their partnership with Google (Google Partner Academy, which is run by Cardinal Path and trains agencies and marketers around the world), its own training division, Cardinal Path Training Academy, Lynda.com training sessions, and custom training for brands. This is a group that approach their work with the mindset of enablement and empowerment. Another of Cardinal Path’s core values is “sharing knowledge strengthens our own”. By enabling organizations to leverage their digital data, from technology implementation to surfacing insights, Cardinal Path is able to focus on advanced applications through data science, machine learning, and artificial intelligence, for even greater competitive advantage.

With a community of more than 30,000 marketers and industry analysts, Cardinal Path’s monthly webinar series help to inform and educate on timely topics across regulation, marketing technology, best practices and the latest analytics techniques organizations need to consider. Plus, as the go-to firm for Google Analytics 360, Cardinal Path is first-to-market with all the latest platform information on the world’s most widely-adopted analytics technology. Last year, Cardinal Path held the industry’s only webinar series on each of Google Analytics 360 Suite’s features, alongside Google’s Product Managers. This year, Cardinal Path will host a series on Adobe Analytics, showcasing the platform with Adobe experts, and highlighting ways to leverage Adobe Marketing Cloud for data-driven marketing programs.

In the era of data privacy and with looming GDPR enforcement, Cardinal Path has been actively educating marketers on their role within GDPR, and devising ways to ensure that digital analytics practices are conducted properly. A recent webinar on this subject drew more than 1,500 participants and Cardinal Path is now developing on a joint solution with sister agency, Isobar, to help marketers cut through the noise and properly address the parts of this law that are in their purview as data controllers.

Last year, Cardinal Path was acquired by one of the world’s leading agency holding companies, Dentsu Aegis Network (DAN) – recently named Agency Holding Company of the Year by Media Post. DAN acquired Cardinal Path to help them “leap forward” its data strategy, and that’s exactly what they’ve been doing. Cardinal Path still operates independently, but through the network, has opened up a world of opportunity with some of the industry’s most recognized media, creative and communications agencies (Carat, mcgarry bowen, MKTG, iProspect, Isobar, and Merkle, to name a few) to further the digital maturity of agency-side and client-side practitioners alike. Over the past year, Cardinal Path’s DAN engagements have included analytics work for GM, Beats by Apple, Hilton, Kellogg’s, Microsoft, Diageo, and many more – working alongside sister agencies to craft and execute data analytics strategy.

With DAN, Cardinal Path applies its years of experience, well-proven processes and forward-thinking solutions to quickly get more of the world’s leading brands ramped up on analytics and using data to provide valueable insights to inform their teams and also DAN agencies around creative, content, channels, and budget activity. Working as part of the Dentsu Aegis Network is another way for Cardinal Path to focus on analytics industry leadership, with total dedication to the work they love, and a continued push to leverage digital analytics for marketing excellence.

Cardinal Path is very proud to be part of this community of data and analytics practitioners.

It’s with all of these in mind – the history in our industry, the deep expertise, passion for the craft, the expansion of analytics into the world of media, the track record with brands and partners alike, and the obvious love for what they do, that I ask you to consider voting for Cardinal Path as the Digital Analytics Association’s Top Agency (Small to-Mid Sized) for 2018.

Thank you for your consideration.

Company URL
http://www.content-science.com

LinkedIn
https://www.linkedin.com/company/722317/

Twitter
https://twitter.com/contentscience

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://www.dropbox.com/s/8vwjohtklhofxkp/Nomination%20Content%20Science.docx?dl=0
• https://www.dropbox.com/s/rnpkqxen11v0iyk/Testimonial_Content_Science.docx?dl=0

Case Studies

• https://www.dropbox.com/s/h62zbx60dfaogd4/cs_casestudy_CFA_CI_v5.pdf?dl=0
  • September 27, 2017
• https://www.dropbox.com/s/n72yw4nk8dt6c3a/cs_casestudy_ACS_ci_v4.pdf?dl=0
  • Ongoing engagement

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
Content Science is a certified woman-owned small business by the Women's Business Enterprise National Council.

Company URL
www.evolytics.com

LinkedIn
https://www.linkedin.com/company/evolytics

Twitter
https://twitter.com/evolytics

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References
Keith Cheung, Director of Digital Analytics, Realtor.com

January 22, 2018

Digital Analytics Association:
Please accept this Reference Letter in support of Evolytics as Top Agency for the DAA Quanties.

I have worked with many consulting firms in my career as an analytics team leader for Intuit, Visa and now at Move/Realtor.com. Evolytics is the consulting team that surpasses them all when it comes to digital analytics – they are the ones I can always count on and that I trust most.

Here are the top three reasons our team turns to Evolytics:

1. Evolytics is the leader for Adobe Analytics support. Throughout my organization, at all levels, Evolytics is recognized as the experts for implementing and integrating Adobe Analytics within our analytics technology stack. When we want to get something done right, it’s Evolytics we count on.
2. Evolytics is committed to making our analytics team and business successful. This commitment is illustrated in the flexibility of their team to get things done. If something is urgent (and with no special requests or prompting from me, but with an understanding of how the business will be impacted) the Evolytics team will scale resources or work extended hours to make sure my team successfully delivers within the Move organization. I have confidence that Evolytics will go out of their way to make me successful. So does my team. This is part of the Evolytics culture and a commitment to excellence that I’ve witnessed from company to company and throughout the ten years I’ve worked with them.
3. Evolytics is a consulting firm vs. a contracting firm. This is a big differentiator for me. Evolytics is proactive in coming up with creative solutions, such as how we automate our QA process. They always bring new ideas and new ways of doing things to the table. In a fast-changing technology environment, that capability is critical.

Because of their proven know-how, we trust their opinion and know we can rely on them to think strategically and execute technically. They reliably deliver in ways that make us successful and act as a true consulting partner as we strengthen and evolve our analytics efforts.

I encourage those voting for Top Agency to consider Evolytics for this award.

Keith Cheung
Director of Digital Analytics, Realtor.com, a News Corporation Company
Former Director – Digital Data and Analytics, Visa
Former Group Manager – Mobile and Web Analytics, Intuit
https://drive.google.com/open?id=1cY-oYWG-pl3dW9ph1AvN6Zp9qs3eRMXk

References
Susana Eshleman, CEO, Children International

1/19/18

Children International operates in the United States and 9 other countries to equip poor children and youth to break the cycle of poverty. We focus our efforts around four key outcomes tied to graduating kids who are healthy, educated, empowered, and employed.

Evolytics’ mission to use data in ways that inspire people to make a difference in the world complements our mission to empower children to break free from poverty. This alignment created a strong foundation for our ongoing partnership as we build a data- informed approach to optimizing our programs and amplifying our impact on children around the world.

We’re fortunate to have found a partner with the breadth of analytics expertise that has helped us in many ways.

Evolytics is helping us bring our outcome measurement framework to life by:

 

• Helping us align on KPIs
• Evaluating our systems for data collection and aggregation
• Evolving our reporting
• Identifying opportunities for optimization through testing and predictive analysis

Susana Eshleman
CEO
Children International
https://drive.google.com/open?id=1mLkk4NlQjugF2346IZW3-P2zjXYT_Uw3

Case Studies
Customer Care Analysis, May 2017

CHALLENGE

This client uses a “freemium” model in which customers begin as non-paying and gradually purchase increased levels of service. Therefore, customer care is given a very high priority.

The client employs five call center partners to help with the volume of calls they receive. To ensure customers are being treated with an “on-brand” exceptional level of service, net promoter score (NPS) is one of the primary metrics that call center employees are graded on. However, some call center employees will offer unnecessary refunds or promotional codes (collectively known as “concessions”) in order to boost their NPS.

Training the five call center partners -- and trusting them to represent the brand -- are the largest Customer Care Team challenges.

SOLUTION

To allow for concessions auditing, we created a Tableau Dashboard that shows the total concession amount and average concession amount per partner.

This was further visualized with trendlines and 95 percent confidence intervals to showcase the average discount range per partner.

Finally, to make this an action-oriented tool, we added bubbles to the visualization to represent each outlier team member. This allowed the Customer Care Team to drill down to a team member level to assess why a specific team member may be giving more concessions than others. The call number, concession reason, concession amount, and manager were all available.

RESULTS

The Customer Care Team was shocked by the results. The partner they viewed as the “best” because of high NPS scores had a systematic problem with giving concessions. This partner gave more concessions per call and larger concessions per call, costing the business millions of dollars in lost revenue.

These insights caused the client to re-evaluate their partner measurement methodology and KPIs used to evaluate partners. Instead of looking at only NPS, the organization now also considers concession cost as a KPI for performance evaluation. The team was also able to assess which type of customer call was most likely to end in a concession, which allowed them to proactively solve issues prior to the customer calling the care center.

Through proper training as a result our concession analytics, the client is saving millions of dollars in call center minutes and concession dollars.

https://drive.google.com/open?id=1xfXM6pjYqcSZ_ysn-4FjQt1kWvNgjIvs

Implementation, October 2017

CHALLENGE

Evolytics led an enterprise-level Analytics Audit assessing the effectiveness of the client’s Adobe Analytics Implementation. The organization had scaled quickly, adding new sites and applications which sometimes called for quick, patchwork solutions. The audit found numerous areas of improvement for data quality, and the organization decided to re-architect their analytics implementation.

Designing a new architecture introduced some difficult challenges that the client looked to Evolytics to solve. Most importantly, the client’s assets sent data to Adobe Analytics using hundreds of DTM rules and data elements for desktop and mobile web visits and through a custom API for mobile application visits. Additionally, complex processing rule logic made it difficult to document and visualize data transformations happening between collection and reporting.

SOLUTION

First, the team needed to understand the flow of data and all its transformations. Evolytics created in-depth documentation. For example, specific to web data, DTM configuration parsing tools were leveraged to generate spreadsheets documenting individual rule and data element configuration. Examples of how the data elements were resolved for each rule, the location on the site and steps required to trigger the rule, notes about any logic used to set dynamic values, and sample request payloads were included. Processing rule logic specific to any variables in the rule was included if applicable. Finally, examples of how the data from the sample request payload appeared in the reports was added to give a full end-to-end view of each request’s transformations.

Once the data was understood through this documentation process, Evolytics used Segment to provide a common analytics API and configuration workflow for all device types.

It was crucial that Segment could be deployed using DTM to utilize the existing rules and data elements. In order to test the DTM-API integration, Evolytics built a simple ExpressJS app and loaded a QA DTM property containing the bundled API so page load, event, and Segment’s identify calls could be simulated and compared side-by-side to calls that went directly to Adobe’s servers.

With Evolytics’ solution, timing issues, DTM quirks, and API bugs could be resolved without deploying to the client’s development environments. This process was critical in gaining the client team’s confidence in launching the solution in production.

Evolytics then conducted a parity study, comparing the Segment-based implementation to the legacy implementation based on hit-level clickstream data.

RESULTS

The legacy implementation was disabled entirely, and all analytics data is now flowing through Segment to Adobe Analytics. Evolytics is working alongside the client team to roll out the use of the tracking API to other web properties. This will centralize complex processing rule logic in the main web property and reduce the number of DTM rules drastically by letting the front-end developers call the tracking API directly on pages they manage.

Sharing the implementation workload with the front-end team, by giving them an easy-to-use API, will allow the analytics team to focus implementation efforts on other assets, including the mobile applications. The client team will also be freed up to spend more time on data governance across the company as a whole, as well as to more efficiently support reporting requests.

https://drive.google.com/open?id=1bwXxdpdxsBZfjPQWzj0Q1lTglq6cQeyv

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
Evolytics subsidizes analytics work across the entirety of the data lifecycle for Children International.

From Bill Brewster, VP of Operations, Children International, "As we evolve our use of data across all aspects of our organization, Evolytics serves as a critical partner, providing strategic guidance, innovative ideation, and expert support in project activation and execution."

Company URL
www.iihnordic.com

LinkedIn
https://www.linkedin.com/company/iih-nordic/

Twitter
@iih_nordic

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://we.tl/IvrDP3nYVX
• https://we.tl/TQi3L0aM6Q
• https://we.tl/xfd7BV1oW7

Case Studies

• https://we.tl/5ThCGVEAvs
  • December 2017
• https://we.tl/ro46861cEk
  • Ongoing project

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
At IIH Nordic we have undergone our own datadriven digital transformation by automating processes, using tools, training people and increasingly used data in our own internal work. The focus have been to improve quality of life for both clients and employees. As a result we have reduced employee workload and since february 2017 all 50 members of staff at the company have only worked for 4 days and 30 hours a week. So far the results are a 30% decrease in stress, a 30% increase in both employee and client satisfaction. Finally we have spent more than 17.000 hours less in achieving a bottom line twice as good as the one from 2016. With this we have begun the journey to inspired people from all industries in opening the discussion about the worklife of the future and how to achieve data to do this. Already we have recieved massive local new coverage and international reach have gone to places as far as South Korean television, who came by and did a documentary on us.

Please share any additional comments
As an agency we strive to cont Today we are one of the leading Analytics agencies in EMEA with active customers ranging from Ireland to Dubai. The common theme we deliver to our clients are a focus on the 3 main themes. Aggregate, analyse and capitalize

Company URL
http://www.impactanalytics.co/

LinkedIn
https://www.linkedin.com/company/4867362/

Twitter
https://twitter.com/Impact_Analytic

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://drive.google.com/open?id=1yg2A0vlGlE_Svt_AumO9A1V_nJlG6Gwb
• https://drive.google.com/open?id=1QgmIYs7Lzx3xDwsnWESkjrf5rluHQS29

Case Studies

• Promo effectiveness
  • https://drive.google.com/open?id=1t_ONQcItZiSUuIFsmUWtFT2n0BmK5usP
• Inventory Optimization
  • https://drive.google.com/open?id=1c4Nh6nzYTFJpGbTRdH4IRJL3L4LjIQT5

Company URL
www.maassmedia.com

LinkedIn
https://www.linkedin.com/company/maassmedia-llc

Twitter
@maassmetrics

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://drive.google.com/file/d/1XYNaV26eEgntMUUbf_D049kWK8EFkFM7/view?usp=sharing

Case Studies

• https://docs.google.com/presentation/d/1NyPjPLwPW3Betkyga718pBV6-Kxcjx8a1O9y9LaR3BI/edit?usp=sharing
• https://docs.google.com/presentation/d/1LNRxTw40pzwrBr56EPMz4eBUw3_ew7phRxg0r0GfaZc/edit?usp=sharing
• https://docs.google.com/presentation/d/1l9rLm0qDYNiHoguTM5Jn_z7oRF5oYUsjbhSZvhhUGEo/edit?usp=sharing
• https://docs.google.com/presentation/d/135lQ42lcTNPnD1PRkgZ4WY6OoEYXkPwGVy45H5DyEuM/edit?usp=sharing

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
This year, MaassMedia is celebrating its 10th anniversary as one of the leading independent, digital analytics-only consulting firms in the industry. Over this period, MaassMedia has provided over 60 global brands from A&E to Verisign with custom analytics services and solutions designed to improve the customer experience and help companies make better business decisions with data.

MaassMedia's team of talented analysts, engineers and data scientists sets them apart. Their deep knowledge, understanding and hands-on expertise in using data to solve real business problems, along with their passion, high standards and focus on delivering value, make them excellent partners who can be trusted to go the extra mile for their clients.

As thought leaders in analytics, MaassMedia staff have authored over 70 articles in 2017 alone. Topics vary from digital transformation, to data visualization to ethics in analytics. And members of their team have spoken at numerous conferences and events including DA Hub, eMetrics, unSummit and DAA Symposia.

In addition, MaassMedia believes strongly in giving back by supporting and helping grow the analytics profession. Their firm is a corporate member of the DAA and volunteers much of its time to DAA activities; their team provides pro bono analytics work for several non-profits; they have a competitive paid internship program for rising seniors and apprenticeship options for career-changers; and recently they launched a series of intensive analytics training courses to raise the knowledge level of how to apply analytics within organizations and help them become more data-driven.

For these reasons and many more, I believe MaassMedia should be this year's Top Agency under $50MM. Thank you in advance for your support!

Company URL
http://www.nabler.com

LinkedIn
https://www.linkedin.com/company/nabler/

Twitter
https://twitter.com/nablerUS

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://www.dropbox.com/s/pewvooe780embmt/Patty%20Behre%20Rec%20Letter.pdf?dl=0
• https://www.dropbox.com/s/4axzmq8jvd0ddsv/Nabler_RecommendationLetter_Informatica.pdf?dl=0

Case Studies

• https://www.dropbox.com/s/d58nukw5bp384to/Marketing_CaseStudies_RedHat_November2017.pdf?dl=0
  • November 2017
• https://www.dropbox.com/s/trbc7rncdezfw80/Marketing_CaseStudies_Informatica_January2018.pdf?dl=0
  • January 2018

Company URL
searchdiscovery.com

LinkedIn
https://www.linkedin.com/company/238000/

Twitter
https://twitter.com/SearchDiscovery?lang=en

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://docs.google.com/document/d/1DdxEm24PeZOtCaL5B0LvgB3htu2jcNxiUdKJS0HM6EA/edit?usp=sharing
• https://docs.google.com/document/d/1-6ha5FSrgkLt5iQqSgI7boQ-nS-mN16vtUc9l1zKNIk/edit?usp=sharing
• https://docs.google.com/document/d/1itfphBpqossddncUWlHvKsjaqRye-FfwbvLSZtfnSVk/edit?usp=sharing

Case Studies

• https://docs.google.com/presentation/d/1DvVWUgP9I67aoFhqUaZ-i69UhBaahrqRXFK8tuq1tnA/edit?usp=sharing
  • 12/31/17
• https://docs.google.com/presentation/d/1kWNyJkIBkcOXxyAz8NTBCpuxuAxZUJAVfRillEPXu84/edit?usp=sharing
  • 4/15/17

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
A number of SDI’s team members have participated in the analysis exchange – supporting non-profit organizations pro bono.

 

Company URL
www.SmartCurrent.com

LinkedIn
https://www.linkedin.com/company/smartcurrent

Twitter
https://twitter.com/@smartcurrent

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• Ok, on demand
• Ok, on demand

Case Studies

• US Water Quality Data Personalization and Targeting for Fortune 500
• Machine Learning Strategy for Fortune 100
• Data Governance Strategy for Fortune 10
• Tag Auditing and Monitoring Strategy and Capability for Fortune 10
• Executive KPI Dashboarding Strategy and Capability for Fortune 1
• Adobe Marketing Cloud Strategy for a Fortune 100
• Google Analytics Strategy for a global Ad agency
• Personalization Strategy and Implementation for a global Ad agency

Company URL
www.Mrm-mccann.com

LinkedIn
http://www.linkedin.com/company/mrm-mccann

Twitter
@MRM_McCann

What is the annual revenue of the agency you are nominating?
$50MM per year or more

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

March 2018:

So glad to hear about your nomination for an award for Project Vision from the Digital Analytics’ Association!  The work you did was amazing and continues to shape our vision for customer interactions and drive investment decisions.  You have our full support for submitting the case study for consideration.

I look forward to continuing the work with you and your team. You guys have been fantastic. From the beginning it was clear you had an understanding of the insights we were needed and quickly developed an analytical model to bring them to light.

Case Studies
Project Vision