Data Science: Measuring No-ID Campaigns with Causal Impact (Social Point)
Today on the Apptivate Podcast\u2019s Data Science Segment, we\u2019re 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\u2019s Data Scientist, Alfred Wong, hosts this episode with a data scientist from Social Point.