Response-based Segmentation

Response-Based Segmentation is a market segmentation method that classifies consumers into distinct groups based on their observed behavioral responses to marketing stimuli, distinguishing itself from other segmentation approaches by emphasizing actual response patterns rather than demographic, psychographic, or attitudinal characteristics.

22

Publications

1.6K

Citations

49

Authors

36

Institutions

Publications per year

2017–2026

3

Authors

49

  1. RE
    Randolph E. Bucklin

    University of California, Los Angeles, United States

    4 publications · 396 citations

    4

    h-index

  2. WD
    William D. Perreault

    University of North Carolina at Chapel Hill, United States

    2 publications · 93 citations

    2

    h-index

  3. SS
    S. Siddarth

    University of Southern California, United States

    2 publications · 301 citations

    2

    h-index

  4. JK
    Johny K. Johansson

    Georgetown University, United States

    2 publications · 43 citations

    2

    h-index

  5. DL
    Douglas L. MacLachlan

    University of Washington, United States

    2 publications · 43 citations

    2

    h-index

1–5 of 49

Venues

  1. Journal of Marketing Research

    6 publications · 489 citations

    6

    h-index

  2. Journal of Marketing

    JM · 2 publications · 43 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Consumer Marketing

    1 publications · 124 citations

    1

    h-index

  5. Electronic Commerce Research and Applications

    1 publications · 36 citations

    1

    h-index

1–5