Florian Zettelmeyer




Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at the Kellogg School of Management at Northwestern University. He also directs the Program on Data Analytics at Kellogg, the school's Big Data and Analytics initiative.

Prior to his appointment at Kellogg he was an Associate Professor of Marketing and chair of the marketing group at the Haas School of Business, University of California at Berkeley. Before his Ph.D., he briefly worked in consulting at McKinsey and Company's German office.

Professor Zettelmeyer specializes in evaluating the effects of information technology and big data on firms. More generally, his work addresses how the information consumers have about firms and the information firms have about consumers affect firm behavior. Professor Zettelmeyer has extensively studied the auto industry as a laboratory to understand the effects of customer information, investigating the effect of the Internet, the passthrough and effectiveness of promotions, and what consumers' online journeys predict about their purchase behavior.

Professor Zettelmeyer teaches the MBA elective "Customer Analytics," a key marketing analytics course at the Kellogg School of Management. The has received numerous teaching awards and been voted "Outstanding Professor of the Year" by Kellogg MBA students. He is a Research Associate of the National Bureau of Economic Research (NBER).

Professor Zettelmeyer received a Vordiplom in business engineering from the University of Karlsruhe (Germany), a M.Sc. in economics from the University of Warwick (UK) and a Ph.D. in marketing from the Massachusetts Institute of Technology.

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Oct 24th 2016

The success of every organization depends on attracting and retaining customers. Although the marketing concepts for doing so are well established, digital technology has empowered customers, while producing massive amounts of data, revolutionizing the processes through which organizations attract and retain customers. In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence.

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