Estimating multiple consumer segment ideal points from context-dependent survey data

Wayne S. DeSarbo, A. Selin Atalay, David LeBaron, Simon J. Blanchard

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Previous research in marketing and consumer research has shown that consumers/ households often possess multiple ideal points In a given product/service category. In such cases, traditional segmentation and positioning models that estimate a single ideal point per Individual/segment may render an Inaccurate portrayal of the true underlying utility functions of such consumers/segments and the resulting market structure. We propose a new clusterwise multiple-ideal-point spatial methodology that estimates multiple ideal points at the market segment level while simultaneously determining the market segments' composition of consumers, as well as the corresponding joint space.

Original languageEnglish (US)
Pages (from-to)142-153
Number of pages12
JournalJournal of Consumer Research
Issue number1
StatePublished - Jun 2008

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Anthropology
  • Arts and Humanities (miscellaneous)
  • Economics and Econometrics
  • Marketing


Dive into the research topics of 'Estimating multiple consumer segment ideal points from context-dependent survey data'. Together they form a unique fingerprint.

Cite this