Title

Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value

Department

Marketing & Professional Sales

Document Type

Article

Publication Date

5-2003

Abstract

The authors present a multicriterion clusterwise linear regression model that can be applied to a joint segmentation setting. The model enables the consideration of segment homogeneity, as well as multiple dependent variables (segmentation bases), in a weighted objective function. The authors propose a heuristic solution strategy based on simulated annealing and examine trade-offs in the recovery of multiple true cluster structures for several synthetic data sets. They also propose an application of the model to a joint segmentation problem in the telecommunications industry, which addresses important issues pertaining to the selection of the objective function weights and the number of clusters.

Journal

Journal of Marketing Research

Journal ISSN

0022-2437

Volume

40

First Page

225

Last Page

234

Digital Object Identifier (DOI)

10.1509/jmkr.40.2.225.19227

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