The Digital Initiative Presents

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

12:15 pm December 18, 2019

HBS Cotting Conference Room, 107

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.

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