Identifying Innovators for the Cross-Selling of New Products

Management Science, Vol. 50, No. 8, August 2004, pp. 1120-1133

14 Pages Posted: 14 Feb 2014

See all articles by Wagner A. Kamakura

Wagner A. Kamakura

Rice University

Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department; University of Groningen - Faculty of Economics and Business

Date Written: June 1, 2001

Abstract

With recent advances in information technology, most companies are amassing extensive customer databases. The wealth of information in these databases can be useful in identifying those customers most likely to purchase a new product and in predicting when this adoption may take place. This can assist database marketers in determining when individuals should be targeted for the promotion of a new product, which may increase the efficiency of manufacturing and distribution, and assure a faster return on investments. For this purpose, we propose a model that considers the timing of past purchases across multiple product categories and produces estimates of each customer’s propensity of ever purchasing in a particular product category and of the timing of their purchases. The model is designed to help managers identify the best prospects for a new offer in one of multiple categories based on generalizations obtained from past offers. The proposed model also provides projections of aggregate penetration for new brands within the database, based on sample estimates.

Keywords: database marketing, customer relationship management, hazard model, simulated maximum likelihood

Suggested Citation

Kamakura, Wagner A. and Wedel, Michel, Identifying Innovators for the Cross-Selling of New Products (June 1, 2001). Management Science, Vol. 50, No. 8, August 2004, pp. 1120-1133. Available at SSRN: https://ssrn.com/abstract=2394885

Wagner A. Kamakura (Contact Author)

Rice University ( email )

6100 South Main Street
P.O. Box 1892
Houston, TX 77005-1892
United States
(713) 348-6307 (Phone)

Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department ( email )

College Park, MD 20742
United States
301.405.2162 (Phone)
301.405.0146 (Fax)

HOME PAGE: http://www.rhsmith.umd.edu/marketing/faculty/wedel.html

University of Groningen - Faculty of Economics and Business ( email )

Postbus 72
9700 AB Groningen
Netherlands

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