Attribute Importance Segmentation

Attribute Importance Segmentation is a benefit segmentation method that classifies consumers based on the relative significance they assign to specific product or service attributes, distinguishing it from other segmentation approaches by focusing on individual differences in attribute valuation as the primary basis for market division.

22

Publications

1K

Citations

48

Authors

26

Institutions

Publications per year

2017–2026

6

Authors

48

  1. WV
    Wim Verbeke

    Ghent University, Belgium

    3 publications · 297 citations

    3

    h-index

  2. AG
    Alan G. Sawyer

    University of Florida, United States

    2 publications · 239 citations

    2

    h-index

  3. FV
    Filiep Vanhonacker

    Ghent University, Belgium

    2 publications · 271 citations

    2

    h-index

  4. RJ
    Roger J. Calantone

    Michigan State University, United States

    2 publications · 239 citations

    2

    h-index

  5. MK
    Martin Klarmann

    Karlsruhe Institute of Technology, Germany

    1 publications · 19 citations

    1

    h-index

1–5 of 48

Venues

  1. Journal of Marketing Research

    2 publications · 239 citations

    2

    h-index

  2. 1

    h-index

  3. Cleaner and Responsible Consumption

    1 publications · 14 citations

    1

    h-index

  4. Marketing Intelligence & Planning

    1 publications · 25 citations

    1

    h-index

  5. Family and Consumer Sciences Research Journal

    1 publications · 56 citations

    1

    h-index

1–5