Customer Retention Forecasting

Customer Retention Forecasting is a predictive modeling framework within long-term revenue forecasting that estimates the likelihood of customers maintaining ongoing relationships with a firm over a specified future period, distinguishing itself by focusing on behavioral continuity rather than acquisition or transaction volume.

37

Publications

2.5K

Citations

98

Authors

67

Institutions

Publications per year

2017–2026

13

Authors

98

  1. PS
    Peter S. Fader

    University of Pennsylvania, United States

    4 publications · 275 citations

    4

    h-index

  2. BG
    Bruce G. S. Hardie

    London Business School, United Kingdom

    2 publications · 130 citations

    2

    h-index

  3. DA
    David A. Schweidel

    Emory University, United States

    2 publications · 145 citations

    2

    h-index

  4. AK
    Adam Karg

    Swinburne University of Technology, Australia

    2 publications · 60 citations

    2

    h-index

  5. YC
    Yen‐Chun Chou

    National Chengchi University, Taiwan

    2 publications · 64 citations

    2

    h-index

1–5 of 98

Venues

  1. Industrial Marketing Management

    2 publications · 185 citations

    2

    h-index

  2. Journal of Marketing

    JM · 2 publications · 145 citations

    2

    h-index

  3. Managing Service Quality

    MSQ · 2 publications · 432 citations

    2

    h-index

  4. Journal of Sport Management

    JSM · 1 publications · 12 citations

    1

    h-index

  5. Management Science Letters

    1 publications · 10 citations

    1

    h-index

1–5