Heavy User Segmentation

Heavy User Segmentation is a usage-based segmentation method that identifies and classifies consumers within a population who exhibit significantly higher consumption frequency or volume relative to their peers, thereby distinguishing them as a distinct subgroup for targeted analysis or intervention.

8

Publications

507

Citations

12

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

12

  1. RE
    Ronald E. Goldsmith

    Florida State University, United States

    2 publications · 194 citations

    2

    h-index

  2. DW
    Dik Warren Twedt

    Washington Poison Center, United States

    2 publications · 191 citations

    2

    h-index

  3. SW
    Stephen W. Litvin

    College of Charleston, United States

    2 publications · 101 citations

    2

    h-index

  4. JC
    Julie Clark

    Appalachian State University, United States

    1 publications · 25 citations

    1

    h-index

  5. MJ
    Michael J. Dotson

    Appalachian State University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 12

Institutions

2

  1. Florida State University

    Tallahassee, United States

    2 h-index

    2 publications

    194 citations

  2. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    1 publications

    83 citations

1–2 of 2

Venues

  1. Journal of Travel Research

    JTR · 2 publications · 151 citations

    2

    h-index

  2. Journal of Marketing

    JM · 2 publications · 191 citations

    2

    h-index

  3. Journal Of Vacation Marketing

    JVM · 1 publications · 18 citations

    1

    h-index

  4. Academy of Marketing Studies journal

    1 publications · 11 citations

    1

    h-index

  5. British Food Journal

    1 publications · 111 citations

    1

    h-index

1–5