Usage-based Retention

Usage-Based Retention is a retention strategy that classifies users or customers based on their actual engagement or utilization patterns, distinguishing itself from other retention approaches by prioritizing observed behavioral usage data to predict continued involvement or churn risk.

35

Publications

2K

Citations

91

Authors

61

Institutions

Publications per year

2017–2026

12

Authors

91

  1. HJ
    Harald J. van Heerde

    Tilburg University, Netherlands

    2 publications · 171 citations

    2

    h-index

  2. AY
    Amena Yahya Mutahar

    University of Technology Malaysia, Malaysia

    1 publications · 22 citations

    1

    h-index

  3. TC
    T.C.E. Cheng

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 48 citations

    1

    h-index

  4. HK
    Hyeyon Kwon

    Sungkyunkwan University, South Korea

    1 publications · 146 citations

    1

    h-index

  5. DC
    David C. Yen

    Miami University, United States

    1 publications · 264 citations

    1

    h-index

1–5 of 91

Venues

  1. Journal of Retailing and Consumer Services

    2 publications · 97 citations

    2

    h-index

  2. Computers in Human Behavior

    2 publications · 374 citations

    2

    h-index

  3. 2

    h-index

  4. Journal of the Association for Information Systems

    JAIS · 1 publications · 77 citations

    1

    h-index

  5. Research Publications (Maastricht University)

    Repository · 1 publications · 149 citations

    1

    h-index

1–5