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About this book
Modern marketing techniques in industrialized countries cannot be implemented without segmentation of the potential market. Goods are no longer produced and sold without a significant consideration of customer needs combined with a recognition that these needs are heterogeneous. Since first emerging in the late 1950s, the concept of segmentation has been one of the most researched topics in the marketing literature. Segmentation has become a central topic to both the theory and practice of marketing, particularly in the recent development of finite mixture models to better identify market segments.
This second edition of Market Segmentation updates and extends the integrated examination of segmentation theory and methodology begun in the first edition. A chapter on mixture model analysis of paired comparison data has been added, together with a new chapter on the pros and cons of the mixture model. The book starts with a framework for considering the various bases and methods available for conducting segmentation studies. The second section contains a more detailed discussion of the methodology for market segmentation, from traditional clustering algorithms to more recent developments in finite mixtures and latent class models. Three types of finite mixture models are discussed in this second section: simple mixtures, mixtures of regressions and mixtures of unfolding models. The third main section is devoted to special topics in market segmentation such as joint segmentation, segmentation using tailored interviewing and segmentation with structural equation models. The fourth part covers four major approaches to applied market segmentation: geo-demographic, lifestyle, response-based, and conjoint analysis. The final concluding section discusses directions for further research.
This second edition of Market Segmentation updates and extends the integrated examination of segmentation theory and methodology begun in the first edition. A chapter on mixture model analysis of paired comparison data has been added, together with a new chapter on the pros and cons of the mixture model. The book starts with a framework for considering the various bases and methods available for conducting segmentation studies. The second section contains a more detailed discussion of the methodology for market segmentation, from traditional clustering algorithms to more recent developments in finite mixtures and latent class models. Three types of finite mixture models are discussed in this second section: simple mixtures, mixtures of regressions and mixtures of unfolding models. The third main section is devoted to special topics in market segmentation such as joint segmentation, segmentation using tailored interviewing and segmentation with structural equation models. The fourth part covers four major approaches to applied market segmentation: geo-demographic, lifestyle, response-based, and conjoint analysis. The final concluding section discusses directions for further research.
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Keywords
Table of contents (20 chapters)
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Front Matter
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Segmentation Methodology
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Front Matter
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Special Topics in Market Segmentation
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Front Matter
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Applied Market Segmentation
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Front Matter
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Authors and Affiliations
About the authors
Michel Wedel (1957) is Professor of Marketing Research at the Department of Economics, University of Groningen, The Netherlands.
Bibliographic Information
Book Title: Market Segmentation
Book Subtitle: Conceptual and Methodological Foundations
Authors: Michel Wedel, Wagner A. Kamakura
Series Title: International Series in Quantitative Marketing
DOI: https://doi.org/10.1007/978-1-4615-4651-1
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-7923-8635-3Published: 31 December 1999
Softcover ISBN: 978-1-4613-7104-5Published: 17 October 2012
eBook ISBN: 978-1-4615-4651-1Published: 06 December 2012
Series ISSN: 0923-6716
Series E-ISSN: 2199-1057
Edition Number: 2
Number of Pages: XXII, 382
Topics: Marketing, Organization, Mathematical Modeling and Industrial Mathematics