Multi-attribute Segment Choice

Multi-Attribute Segment Choice is a market segmentation framework that distinguishes itself by integrating multiple consumer attributes—such as demographic, psychographic, behavioral, and geographic variables—into a unified model for identifying and selecting target market segments with greater precision and strategic alignment.

17

Publications

1.2K

Citations

37

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

37

  1. RE
    Randolph E. Bucklin

    University of California, Los Angeles, United States

    2 publications · 452 citations

    2

    h-index

  2. LG
    Lee G. Cooper

    University of California, Los Angeles, United States

    2 publications · 102 citations

    2

    h-index

  3. SS
    Shelley S. Harp

    Texas Tech University, United States

    1 publications · 14 citations

    1

    h-index

  4. JM
    José Manuel García-Gallego

    Universidad de Extremadura, Spain

    1 publications · 18 citations

    1

    h-index

  5. IO
    Indrawati Oey

    University of Otago, New Zealand

    1 publications · 29 citations

    1

    h-index

1–5 of 37

Venues

  1. Journal of Marketing Research

    4 publications · 554 citations

    4

    h-index

  2. International Marketing Review

    2 publications · 74 citations

    2

    h-index

  3. 2

    h-index

  4. Decision Sciences

    1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5