Causal Inference in Marketing Applications

Abstract

Marketing applications offer many difficult and unique challenges in causal inference. In particular, targeted marketing activities, the arch-typical example of is search ads, can be difficult to evaluate using purely observational data. I review causal methods proposed in the recent econometrics literature and consider their suitability for various problems in marketing. In particular, I call attention to problems of how to evaluate various estimation procedures in the marketing context.