Elea Feit is an assistant professor of marketing at Drexel University’s LeBow College of Business.
Her research focuses on leveraging customer data to make better product design and advertising decisions, particularly when data is incomplete, unmatched or aggregated. Much of her career has focused on developing new quantitative methods and bringing them into practice, first working in product design at General Motors, then commercializing new methods at the marketing analytics firm, the Modellers, and most recently as the executive director of the Wharton Customer Analytics Initiative, where she built the academic-industry partnership program.
Feit brings a rich understanding of industry problems to her research, which has been published in top-tier journals including Management Science and the Journal of Marketing Research. She makes analytics accessible to a broad audience and is active in several practitioner conferences including the INFORMS Business Analytics Conference and the AMA Advanced Research Techniques forum. She regularly teaches popular tutorials and workshops for practitioners on marketing experiments, marketing analytics in R, discrete choice modeling and hierarchical Bayes methods as well as undergraduate and MBA classes in data-driven digital marketing.
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