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Song Yao
Song Yao

MARKETING
Senior Lecturer of Marketing
Donald P. Jacobs Scholar

Print Overview
Song Yao is the Assistant Professor of Marketing at the Kellogg School of Management, Northwestern University. Professor Yao's research interests include quantitative marketing, online marketing, auctions, competitive strategy, and customer management. With a methodological and theoretical orientation of empirical microeconomics, his substantive research focuses on network effects, especially in the context of new media such as online auctions and keyword search. His publications appear in leading academic journals, including Marketing Science. Prior to joining Kellogg, he taught Marketing Management at Duke University. He received his Ph.D. in Business Administration from Duke University, M.A. in Economics from the University of California, Los Angeles, and B.A. in Economics from Renmin University of China.
Print Vita
Education
PhD, 2009, Marketing, Duke University
MA, 2004, Economics, University of California, Los Angeles
CPhil, 2003, Economics, University of California, Los Angeles
BA, 1999, Economics, Renmin University of China, Beijing

Academic Positions
Assistant Professor, Marketing, Kellogg School of Management, Northwestern University, 2009-present

 
Print Research
Research Interests
Quantitative Marketing; Empirical IO; Online Marketing; Auctions; Competitive Strategy; Customer Management

Articles
Yao, Song and Carl F. Mela. 2008. Online Auction Demand. Marketing Science. 27(5): 861-885.

 
Print Teaching
Full-Time / Part-Time MBA
Information & Technology Based Marketing (MKTG-953-0)

This course counts toward the following majors: Marketing, Marketing Management.

Marketing is evolving from an art to a science. Many firms have extensive information about consumers' choices and how they react to marketing campaigns, but few firms have the expertise to intelligently act on such information. In this course, students will learn the scientific approach to marketing with hands-on use of technologies such as databases, analytics and computing systems to collect, analyze, and act on customer information. While students will employ quantitative methods in the course, the goal is not to produce experts in statistics; rather, students will gain the competency to interact with and manage a marketing analytics team.