Eric T. Anderson
Polk Bros. Chair in Retailing
Professor of Marketing
Eric T. Anderson is the Polk Bros. Chair in Retailing, Professor of Marketing and former Chair of the Marketing Department at Northwestern University, 海角社区 and Director of the Kellogg-McCormick MBAi Program. He holds a Ph.D. in Management Science from MIT Sloan School of Management. Professor Anderson's research interests include analytics, AI/ML, customer loyalty, retailing, pricing strategy, innovation and channel management. At Kellogg, Professor Anderson teaches Pricing and Retail Analytics in the 海角社区 and Marketing Analytics in the E海角社区. He is a four-time winner of the Sydney Levy Award for best elective at Kellogg. Professor Anderson also serves on the Board of Directors for Canadian Tire and is an advisor for LiftLab.
- Analytics and AI
- pricing strategies
- channel management
- new products
- Retail Analytics
- Pricing Strategy and Tactics
- Channel Management
- Launching New Products
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PhD, 1995, Marketing, Massachusetts Institute of Technology
MS, 1989, Engineering-Economic Systems, Stanford University
BS, 1988, Electrical Engineering, Northwestern University, Highest Honors -
Department Chair, Marketing, 海角社区, Northwestern University, 2013-present
Professor, Marketing, 海角社区, Northwestern University, 2009-present
PhD Program Coordinator, Marketing, Kellogg Graduate School of Business, Northwestern University, 2007-2010
Hartmarx Research Professorship, 海角社区, Northwestern University, 2007-present
Associate Professor, Marketing, 海角社区, Northwestern University, 2004-2009
Visiting Assistant Professor, Marketing, 海角社区, Northwestern University, 2003-2004
Assistant Professor of Marketing, Graduate School of Business, University of Chicago, 1997-2003
Assistant Professor, Marketing, William E. Simon Graduate School of Business, University of Rochester, 1995-1997 -
Sydney J. Levy Teaching Award, Kellog School of Management
Weitz-Winer-O鈥橠ell Award for 鈥淗arbingers of Failure鈥, Vol. 52, No. 5, October 2015
Recognizes an article in the Journal of Marketing Research that has made the most significant long-term contribution to marketing theory, methodology, and/or practice., American Marketing Association
Sidney J. Levy Award for Excellence in Teaching, 海角社区
Long Term Contribution (Naresh Malhotra Award), Review of Marketing Research
Paul E. Green Award, American Marketing Association, Awarded Summer 2015
Sidney J. Levy Teaching Award, 海角社区
Sidney J. Levy Teaching Award, 海角社区, 2009-2010
Nominated for Clarence Ver Steeg Graduate Faculty Award, Northwestern University, 2006
Nominated for John D.C Little Best paper Award, INFORMS, 2004
MSI Young Scholar, Marketing Science Institute, 2001 -
Department Editor, Management Science, 2014-2023
Associate Editor, Operations Research, 2012-2018
Editorial Board Member, Journal of Marketing, 2011-2014
Associate Editor, Management Science, 2009-2014
Editorial Board Member, Marketing Science, 2008
Ad-hoc Reviewer, International Journal of Marketing Research, 2000
Editorial Board, Journal of Marketing Research, 2009-Present
Editorial Review Board, Quantitative Marketing and Economics, 2007-Present
Marketing Topics: Behavioral and Quantitative Perspectives (MKTG-565-0)
This seminar focuses on research topics that are central to the field of marketing. Although seminars often consider these questions from either a quantitative or a behavioral, this class provides Ph.D. students with an introduction to research by drawing on both quantitative and behavioral approaches, a broad range of methods, and different research paradigms used in marketing.
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.
Loyalty Co.: The Business of Customer Loyalty (MKTG-948-0)
Customer loyalty is foundational to value creation by a wide and growing range of enterprises. This course teaches a strategic approach to the development of customer loyalty. It provides a comprehensive framework for thinking critically about customer loyalty, a structured approach to the development of customer loyalty strategies and practical imperatives for the design, development and execution of loyalty programs and related marketing activities. The course is organized in three parts: customer strategy, loyalty strategy and loyalty programs. You learn how to design a loyalty program. Additionally, we focus on related subjects such as: customer differentiation and valuation, CRM and personalization at scale. The course concentrates on how to develop customer strategy, loyalty strategy and loyalty programs in actual practice. We use lots of current examples from a wide range of businesses (e.g., retail, travel, financial services, telecom, health care, CPG) including both B-C and B-B. The class sessions combine lecture, group discussion, a class debate and usually an outside speaker. The course readings are two short books and a set of articles. There are three assignments including two individual and one group assignment. The group assignment that culminates the course is to design a loyalty program for a cruise line. There is no final exam.
MBAi Immersion Internship (MBAI-940-0)
MBAi AI Leaders (MBAI-920-5)
Field Study (MBAI-498-0)
Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.
