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Professor Eric Schwartz's expertise focuses on predicting customer behavior, understanding drivers, and examining how firms actively manage customer relationships through interactive marketing. His research in customer analytics has broad managerial applications, including online display advertising, email marketing, video consumption, and word-of-mouth. He primarily employs quantitative methods, utilizing Bayesian statistics, machine learning, dynamic programming, and conducting field experiments. Current projects aim to optimize firms’ A/B testing and adaptive marketing experiments by using a multi-armed bandit framework. This approach enables marketers to enhance their ability to conduct tests on outbound marketing activities such as email/direct mail campaigns and customizing websites. Professor Schwartz also emphasizes the importance of bridging the gap between technical skills and data-driven decision-making for today’s marketers. He holds a Ph.D. in Marketing from the Wharton School and a B.A. in Mathematics and Hispanic Studies from the University of Pennsylvania.
Department of Electrical Engineering and Computer Science