Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization

The flexibility of choosing the ad action as a function of the consumer state is critical for modern-day marketing campaigns. We study the problem of identifying the optimal sequential personalized interventions that maximize the adoption probability for a new product. We model consumer behavior by...

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Bibliographic Details

Published in:	Production and operations management Vol. 33; no. 3; pp. 775 - 794
Main Authors:	Iyengar, Garud, Singal, Raghav
Format:	Journal Article
Language:	English
Published:	Los Angeles, CA SAGE Publications 01.03.2024
Subjects:	attribution Markov decision process interpretability scalability Sequential marketing
ISSN:	1059-1478, 1937-5956
Online Access:	Get full text
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