Data Science: Measuring No-ID Campaigns with Causal Impact (Social Point)

Today on the Apptivate Podcast’s Data Science Segment, we’re diving into Causal Impact, a library written by Google that can measure incremental effects of campaigns without user IDs as well as the Bayesian structural time series (BSTS) statistics model behind it. Remerge’s Data Scientist, Alfred Wong, hosts this episode with a data scientist from Social Point.

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Apptivate is a show that explains app marketing, one expert at a time. It's produced by retargeting specialist Remerge, focusing on the challenges and advancements in the ever-evolving world of mobile marketing. Every week, we interview marketing game-changers and app experts to share industry insights and real-life lessons, covering optimization, incrementality, creative strategy, data science, and more. Subscribe now to stay on the cutting edge of app marketing strategy.