Optimizing targeting policies via adaptive experimentation: improving user retention at The Boston Globe

Abstract

We combine machine learning and field experiment to optimize a targeting policy to improve subscriber retention at the Boston Globe.

Speaker bio

Jeremy Yang is a doctoral candidate in the Marketing group at Sloan School of Management, MIT. He is broadly interested in the intersection of machine learning and causal inference, social networks, and behavioral economics.