Tim Wilson explores the complexities of causality in data analytics and how to define success markers before a launch.
Tim Wilson explores the complexities of causality in data analytics and how to define success markers before a launch.
A deep dive into Media Mix Modeling (MMM) and incrementality testing to move beyond broken traditional attribution models.
Justin Rashidi explains how data problems lead to attribution failures and how to identify true cause-and-effect in campaigns.