Florian Zettelmeyer
Nancy L. Ertle Professor of Marketing
Faculty Director, Program on Data Analytics at Kellogg
Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at the 黑料正能量 at Northwestern University. He also founded and directs the Program on Data Analytics at Kellogg. Professor Zettelmeyer specializes in evaluating the effects of analytics and AI on firms. Professor Zettelmeyer received his PhD from the Massachusetts Institute of Technology. He has received numerous teaching awards and has been voted "Outstanding Professor of the Year" by Kellogg MBA students. In addition to being a chaired professor at Kellogg, Professor Zettelmeyer is a senior science leader at Amazon. He leads the Advertising Economics organization, whose function is to use data science and economics to come up with disruptive ideas for the Amazon advertising business.
- Marketing analytics
- digital advertising
- marketing implications of consumer search and uncertainty
- industrial organization
- pricing
- Internet
- environmental economics
- Customer Analytics
- Leading with Advanced Analytics and AI
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PhD, 1996, Management Science, Massachusetts Institute of Technology
Vordiplom, 1992, Business Engineering, University of Karlsruhe
MS, 1991, Economics, University of Warwick -
Director, Program for Data Analytics at Kellogg, Northwestern University, 黑料正能量, 2013-present
Nancy L. Ertle Chair in Marketing, Marketing, Northwestern University, 黑料正能量, 2012-present
J. L. and Helen Kellogg Chair in Marketing, Professor, Marketing, Northwestern University, 黑料正能量, 2008-present
Professor, Marketing, Haas School of Business, University of California at Berkeley, 2008
Chair, Marketing Group, Marketing, Haas School of Business, University of California at Berkeley, 2006-2008
Associate Professor, Marketing, Haas School of Business, University of California at Berkeley, 2003-2008
Assistant Professor, Marketing, Haas School of Business, University of California at Berkeley, 1998-2003
Assistant Professor, Marketing, Simon Graduate School of Business Administration, University of Rochester, 1996-1997 -
John D.C. Little Award for best marketing paper published in INFORMS Journal in 2023 (for 鈥淐lose Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement鈥 (2023), Marketing Science), INFORMS, 2023
John D.C. Little Award for best marketing paper published in INFORMS Journal in 2019 (for 鈥淎 Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook鈥 (2019), Marketing Science), INFORMS, 2019
2021 Sales SIG Excellence in Research Award, American Marketing Association, 2021
Finalist for L. G. Lavengood Outstanding Professor of the Year Award, Kellogg School of Managment, 2018-2019
Kellogg Nota Bene Speaker for MBA Programs
Kellogg Nota Bene Speaker for MBA Programs
Kellogg Nota Bene Speaker for MBA Programs
Sid Levy Teaching Award, Kellog School of Management, 2017-2018
Finalist for L. G. Lavengood Outstanding Professor of the Year Award, 黑料正能量, 2017-2018
Finalist for L. G. Lavengood Outstanding Professor of the Year Award, 黑料正能量
Certificate of Teaching Impact Award, 黑料正能量, Winter 2017
Kellogg Nota Bene Speaker for Part-Time Program, 黑料正能量, 2014-2015
Certificate of Teaching Impact Award, 黑料正能量, Winter 2015
Impact Award, Kellogg
Impact Award for teaching excellence, 黑料正能量, 2014
Nota Bene, Kellogg
Sid Levy Teaching Award, Kellogg
Sidney J. Levy Teaching Award for teaching excellence in elective classes, 黑料正能量, 2013
Faculty Commencement Address to Graduating Class 2011, 黑料正能量, 2011
L. G. Lavengood Outstanding Professor of the Year Award, 黑料正能量, 2011
Sidney J. Levy Teaching Award, 黑料正能量, 2010-2011, 2008-2009
Impact Award for teaching excellence, 黑料正能量, 2011
Lavengood Outstanding Professor of the Year Nominee for excellence, 黑料正能量, 2010
Impact Award for teaching excellence, 黑料正能量, 2010 -
Co-Editor, Quantitative Marketing and Economics, 2014-2018
Associate Editor, Management Science, 2009-2019
Associate Editor, Quantitative Marketing and Economics, 2007-2013
Associate Editor, Quantitative Marketing and Economics
Editorial Board Member, Marketing Science
Editorial Board Member, Journal of Marketing Research
Ad-hoc Reviewer, American Economic Review
Associate Editor, American Economic Journal: Economic Policy
Ad-hoc Reviewer, American Economic Journal: Applied Economics
Topics in Quantitative Marketing (MKTG-552-0)
This seminar required of 2nd-4th year students exposes students to working papers in current areas of active research. Students read, present, and discuss recent papers with the goal of improving their ability to evaluate a paper's academic contribution and managerial relevance and to further extend their knowledge of models and methods.
Chief Diversity Officer Summit
Discuss the latest academic research, practitioner insights and best practices in the area of diversity and inclusion with a select group of cross-sector peers.
Chief Marketing Officer Program
Master the insights needed to navigate significant challenges faced by CMOs today, by engaging in meaningful discussions with Kellogg's top faculty and industry executives. This program is specifically designed to increase the odds of success for enterprise marketing leaders.
Kellogg Corporate Governance Conference
Exclusive, by-invitation-only annual conference that brings together more than 200 corporate directors and CEOs to discuss critical issues in corporate governance.
Leading with Advanced Analytics and Artificial Intelligence
Previously Named: Leading with Big Data and Analytics
Sophisticated subject matter in an easy-to-understand, accessible format equips executives with the working knowledge needed to seize opportunities that analytics, artificial intelligence and a data strategy presents and put data analytics to practical use.
Marketing Analytics: Leading with Big Data (MKTGX-950-0)
Big data and analytics represent a huge opportunity for today's business leaders and are of critical importance to marketing. This class will teach senior leaders how to leverage the value and insights of the work done in data science to transform their organization. Big data and analytics is not a technology or data science problem; it's a leadership problem that can and must be solved by leaders. Executives equipped with a working knowledge of data science can massively improve marketing, create operating efficiencies, build new business models, disrupt the competitive status quo of industry and spark innovation. This class will deliver sophisticated data analytics in an easy-to-understand, accessible manner. The content will focus on marketing applications such as pricing, promotion, churn management and memberships (e.g., Amazon Prime). You'll come away equipped with the knowledge you need to seize opportunities that data analytics presents, tools required to put data to practical use and insights to leverage analytics for increased efficiency, productivity or new business opportunities. A solid understanding of Microsoft Excel is required for this course.
