Multi-benefit Segmentation

Multi-Benefit Segmentation is a benefit segmentation framework that categorizes consumers based on their pursuit of multiple, often interrelated, benefits rather than a single dominant benefit, thereby enabling more nuanced market segmentation in contrast to single-benefit approaches.

20

Publications

1.7K

Citations

46

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

46

  1. RC
    Rabikar Chatterjee

    University of Pittsburgh, United States

    2 publications · 67 citations

    2

    h-index

  2. SH
    Steven H. Cohen

    Medical College of Wisconsin, United States

    2 publications · 67 citations

    2

    h-index

  3. JE
    Jan‐Benedict E.M. Steenkamp

    University of North Carolina at Chapel Hill, United States

    2 publications · 230 citations

    2

    h-index

  4. MW
    Michel Wedel

    University of Groningen, Netherlands

    2 publications · 230 citations

    2

    h-index

  5. VR
    Venkatram Ramaswamy

    University of Michigan, United States

    2 publications · 67 citations

    2

    h-index

1–5 of 46

Venues

  1. Journal of Marketing Research

    4 publications · 297 citations

    4

    h-index

  2. Tourism Management

    2 publications · 628 citations

    2

    h-index

  3. Journal of Park and Recreation Administration

    JPRA · 2 publications · 81 citations

    2

    h-index

  4. Expert Systems with Applications

    1 publications · 89 citations

    1

    h-index

  5. Journal of Quality Assurance in Hospitality & Tourism

    JQAHT · 1 publications · 21 citations

    1

    h-index

1–5