Brett R. Gordon is a Professor of Marketing at Kellogg School of Management. His research interests are in pricing, advertising, experimentation, promotion, retailing, and competitive strategy. Professor Gordon studies these topics by drawing on methods from empirical industrial organization, econometrics, and machine learning. His articles have appeared in scholarly journals such as American Economic Review, Journal of Political Economy, Marketing Science, Journal of Marketing Research, Quantitative Marketing and Economics, and Journal of Marketing. Four of his papers have received special academic recognition. He twice won the John D. C. Little Award at Marketing Science for best paper and was a Finalist for a third article. Among the two papers that won the Little Award, one paper won the Robert D. Buzzell Best Paper Award from the Marketing Science Institute for its contributions to marketing practice, and the other paper was twice a Finalist for the Long-Term Impact Award at Marketing Science. A fourth paper was a Runner-Up for the Dick Wittink Prize for the best paper published at Quantitative Marketing and Economics. Professor Gordon is actively involved in the academic field. He is an Associate Editor at Management Science and the Journal of Marketing Research and serves on the Editorial Boards of Marketing Science and Quantitative Marketing and Economics. He is a co-founder of the Quantitative Marketing and Structural Econometrics Workshop, which helps educate graduate students on state-of-the-art empirical techniques.
At Kellogg, he teaches the MBA course on Retail Analytics and Pricing and a Ph.D. course on Structural Models for Quantitative Marketing.
Previously, he was the Class of 1967 Associate Professor of Business at Columbia Business School, which he joined in 2007. He has held visiting positions at University of Chicago's Booth School of Business and at Stanford GSB. He earned both his Ph.D. in Economics and Masters in Information Systems from Carnegie Mellon University.
Pricing, advertising, digital marketing, promotions, innovation, new products, marketing analytics, causal inference, empirical industrial organization, and technology markets
Retail Analytics and Pricing
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