In this week’s a.university session, Piotr Urbanski, Ph.D., Ayzenberg associate director of marketing science, explains how to scan your data for false conclusions produced by a phenomenon called the Simpson’s Paradox—where trends reverse when a dataset is separated into groups. Urbanski shares how to think more critically about data analysis to analysts elevate their causal inference and help leadership better understand the performance of marketing campaigns.

Recommended For You
Earned Media Value 101: Revisiting A Powerful Consumer Engagement Tool
Advertising is evolving as consumers change the way they interact with content. Today, influencers and user-generated…
AR Ads: A Sleeping Giant For Brands?
As platforms battle for the attention of brands in an era of uncertain marketing budgets, their…
New Report: CMOs Believe Innovative Technology Powers Brand Safety
According to a recent IAB Europe report, CMOs prioritized brand safety in 2022 and now see…