Stephan Seiler is an Associate Professor of Marketing at Imperial College. Professor Seiler received his PhD from the London School of Economics and was previously employed at Stanford and UCLA. His research focuses on consumer choice in various markets. He analyzes issues ranging from the choice of hospital for a bypass operation to the reaction of consumers to promotions of laundry detergent. He is particularly interested in understanding consumer search behavior, such as how informed consumers are about prices or other product characteristics when making a purchase decision. Another strand of his research analyzes the production and impact of user-generated content on platforms such as Wikipedia and Twitter.
et al., 2018, Advancing Non-compensatory Choice Models in Marketing, Customer Needs and Solutions, Vol:5, ISSN:2196-291X, Pages:82-92
Seiler S, Yao S, Wang W, 2017, Does Online Word of Mouth Increase Demand? (And How?) Evidence from a Natural Experiment, Marketing Science, Vol:36, ISSN:0732-2399, Pages:838-861
Seiler S, Yao S, 2017, The impact of advertising along the conversion funnel, Quantitative Marketing and Economics, Vol:15, ISSN:1570-7156, Pages:241-278
et al., 2017, Multi-Category Competition and Market Power: A Model of Supermarket Pricing, American Economic Review, Vol:107, ISSN:0002-8282, Pages:2308-2351
Seiler S, Pinna F, 2017, Estimating Search Benefits from Path-Tracking Data: Measurement and Determinants, Marketing Science, Vol:36, ISSN:0732-2399, Pages:565-589