Methodological and Strategy Development Implications of Decision Segmentation

ABSTRACT The goal of customer segmentation, the cornerstone of strategy development, is to identify homogeneous groups of customers that will respond in a consistent way to changes in the marketing mix. Interpretation of traditional quantitative segmentation approaches requires an inferential leap as to the underlying decision processes of each segment. Means-end research methodologies address this problem by providing a framework to understand customer decision making that can be directly translated into the specification of positioning strategy that is more personally relevant to a given target consumer group. The quantitative marketing research orientation to means-end research is contrasted to a more qualitative, consumer-decision research perspective. A new methodological procedure that addresses the shortcomings in previous analysis methods to produce decision segments is presented.

[1]  Michel Wedel,et al.  International Market Segmentation Based on Consumer–Product Relations , 1999 .

[2]  T. J. Reynolds,et al.  Application of the means-end theoretic for understanding the cognitive bases of performance appraisal , 1988 .

[3]  J. Barry Jacobs,et al.  Management: Tasks, Responsibilities, Practices , 1975 .

[4]  T. J. Reynolds,et al.  Laddering theory, method, analysis, and interpretation. , 2001 .

[5]  R. Gorsuch,et al.  Beliefs, attitudes, and values , 1968 .

[6]  J. H. Myers Segmentation and Positioning for Strategic Marketing Decisions , 1996 .

[7]  T. J. Reynolds,et al.  Understanding consumer decision making : the means-end approach to marketing and advertising strategy , 2001 .

[8]  Pierre Valette-Florence A Causal Analysis of Means-End Hierarchies in a Cross-Cultural Context: Methodological Refinements , 1998 .

[9]  K. Grunert,et al.  Measuring subjective meaning structures by the laddering method: Theoretical considerations and methodological problems , 1995 .

[10]  M. Wedel,et al.  An investigation into the association pattern technique as a quantitative approach to measuring means-end chains , 1998 .

[11]  T. J. Reynolds,et al.  The Application of the MECCAS Model to the Development and Assessment of Advertising Strategy: A Case Study , 2001 .

[12]  2 A new approach to analyse data from laddering interviews , 2003 .

[13]  T. J. Reynolds,et al.  Advancements in Laddering , 2001 .

[14]  A. Woodside Advancing means–end chains by incorporating Heider's balance theory and Fournier's consumer–brand relationship typology , 2004 .

[15]  Charles E. Gengler,et al.  Improving the graphic representation of means-end results , 1995 .

[16]  M. Wedel,et al.  Market Segmentation: Conceptual and Methodological Foundations , 1997 .

[17]  J. Gutman A Means-End Chain Model Based on Consumer Categorization Processes , 1982 .

[18]  Jacques-Marie Aurifeille,et al.  Determination of the dominant means-end chains: A constrained clustering approach , 1995 .