Modeling response to repetitive promotional stimuli

Marketers frequently include promotional stimuli which elicit some form of response from the recipient among the tactics used to market products or services. Print ads, including 800 numbers which allow consumers to respond, and direct mail campaigns are examples of such activities. Promotions of this nature are often repeated a number of times, thus providing several opportunities to respond. Understanding consumer response to such campaigns is critical for more efficient design and use of these activities. A conceptual framework of response to repetitive stimuli is proposed, and stochastic models of alternative response patterns are developed. Alternative contexts in which such models are useful are also noted. Variations of the models are provided for those situations when only a fraction of the target population will ever respond. Estimation of model parameters is discussed, and data from actual campaigns are used to demonstrate how to apply the models. He received his Ph.D. in mathematical statistics from Michigan State University. He joined the Terry College of Business after a 15-year career in industry, including 10 years in consumer research at Procter & Gamble. His research interests include discrete choice models, market response to promotional stimuli, forecasting marketing potential from initial sales results, and, in general, applications of quantitative methods to business problems. He has published articles in such journals as theAnnals of Mathematical Statistics, Annals of Statistics, Journal of the Academy of Marketing Science, Journal of Retailing, and theJournal of Advertising. He earned his Ph.D. at Columbia University and has served as assistant and associate professor of marketing at New York University, as visiting assistant professor at Columbia University, and as visiting associate professor at the University of California, Los Angeles. He is a member of the editorial review boards ofMultivariate Behavioral Research andJournal of Marketing Channels. He has published in theJournal of Marketing Research, Journal of Marketing, andManagement Science, among others. His research interests include the study of brand extensions, relationship marketing, strategic alliances, and television program scheduling. He received his Ph.D. in marketing from the University of Georgia. His current research interests include marketing strategy, strategic alliances, relationship marketing, and the implications of new technologies on business research and practice. He has published in various conference proceedings and theInternational Business Review.