DAA Online Training
Within the DAA Education Portal members have access to all archived learning resources and non-members can purchase or access sample material. Learn more about the past events DAA has hosted:
In addition to our recorded trainings, DAA also offers certificate programs and has a robust Digital Analytics Cookbook with actionable content.
Go to the DAA Education Portal
How to Measure and Optimize Marketing Effectiveness
Date: Wednesday, November 17, 2021
Time: 1:00 pm EST
Members and Non-Members
According to Forrester, 71% of executives indicate that demonstrating the value of marketing to the CEO, CFO and the board will be very—or extremely—challenging during the year ahead. As the pandemic flattens marketing budgets, the pressure for more efficient and measurable marketing will demand greater collaboration between the CMO and analytics teams. Unfortunately, the challenge of proving marketing value is getting harder, not easier. We will discuss many of the methods and tools for measuring marketing effectiveness in 2021, including pipeline analysis, research-based approaches, MMM, and MTA. We will focus on several thorny problems, including upper funnel “System 1” measurement, the impact of privacy restrictions on digital attribution, measuring earned media, and choosing advertising investments in a low-supply environment.
In this webinar we will cover:
1. The scope and methods of a modern marketing effectiveness team
2. Techniques for measuring upper funnel (brand) contributions
3. Measuring digital effectiveness in a landscape of increasing privacy
4. Measuring and impacting earned media
5. Choosing channels in a low supply media environment
About the Speaker:
As Chief Analytics Officer, Andy leads the marketing data and analytics functions at MarketBridge, joining the firm (for the second time) in 2018. Andy brings 20+ years of marketing strategy, data science, and software development experience to the firm. He pioneered methodologies across attribution, insights, and optimization, and built the firm’s original marketing data warehouse. Andy has lead over 50 engagements with Fortune 500 clients across technology, financial services, life sciences, and consumer, and recruited, developed, and managed the world-class MarketBridge analytics team.
7 Steps to Prepare for an Analytics Job Interview
Date: Wednesday, January 26, 2022
Time: 12:00 pm EST / 9:00 am PST
Data analytics job search can be stressful. A lot needs to be prepared, especially if you are new to the job market or on a tight schedule. In this talk, I will share a preparation plan that many of my students have used to land their dream analytics jobs in tech.
We will be focusing on the seven most important areas for any analytics job interview: SQL, Product Sense, Basic Data Processing, A/B testing, Statistics, Probability, Behavioral/Leadership Questions, and some of the typical interview questions in each area, and how to prepare those questions.
Upon completion of this program, participants will:
Understand how to prepare for a data analyst job interview at tech companies?
Know what some of the typical tech questions are that are asked during a data analyst job interview?
Understand what a data analyst job interview process look like?