Market Segmentation: Conceptual and Methodological Foundations

Portada
Springer Science & Business Media, 2012 M12 6 - 382 páginas
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.
 

Contenido

INTRODUCTION
2
Segmentation Methods
17
Tools for Market Segmentation
31
Clustering Methods
39
Market Segmentation Applications of Clustering
69
The EM Algorithm
81
Limitations of the EM Algorithm
88
Some Consequences of Complex Sampling Strategies for the Mixture
94
Dynamic Segmentation
159
SPECIAL TOPICS IN MARKET
187
Market Segmentation with Tailored Interviewing
195
ModelBased Segmentation Using Structural Equation Models
217
Segmentation Based on Product Dissimilarity Judgements 231
230
PART 4 APPLIED MARKET SEGMENTATION
239
Values and Lifestyles
259
Responsebased Segmentation
277

Examples of the Mixture Regression Approach
102
EM Estimation
108
Mixture Unfolding Models
125
A General Family of Stochastic Mixture Unfolding Models
131
Marketing Applications
138
Profiling Segments
145
Conjoint Analysis 295
294
CONCLUSIONS AND DIRECTIONS
322
Directions for Future Research
335
References 345
361
Index
371
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Michel Wedel (1957) is Professor of Marketing Research at the Department of Economics, University of Groningen, The Netherlands.

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