Data Science, Instrumental Variables, A B Testing, Causal Inference.
movements in our topline metrics also have a reverse impact on engagement with the Shop. Why causal inference is hard. This is not an uncommon problem and there are several statistical methodologies that might be useful. For example, a Differences-in-Differences or Two-Way Fixed Effects (TWFE)