Subscription Demand Modeling

Subscription Demand Modeling is a quantitative analytical framework that belongs to the class of demand forecasting models, specifically designed to predict customer acquisition, retention, and churn dynamics in subscription-based pricing systems by incorporating behavioral, economic, and temporal factors unique to recurring revenue environments.

42

Publications

1.5K

Citations

105

Authors

67

Institutions

Publications per year

2017–2026

8

Authors

105

  1. KG
    Kent Gordon

    SMART Reading, United States

    2 publications · 145 citations

    2

    h-index

  2. GM
    Gary Madden

    Curtin University, Australia

    2 publications · 80 citations

    2

    h-index

  3. RV
    Richard V. Ducey

    Michigan State University, United States

    2 publications · 40 citations

    2

    h-index

  4. TL
    Teresa L. Ferguson

    DirecTV (United States), United States

    2 publications · 145 citations

    2

    h-index

  5. ML
    Mary Lou Githens

    SMART Reading, United States

    2 publications · 145 citations

    2

    h-index

1–5 of 105

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 58 citations

    3

    h-index

  2. Telecommunications Policy

    3 publications · 65 citations

    3

    h-index

  3. INFORMS Journal on Applied Analytics

    2 publications · 145 citations

    2

    h-index

  4. International Journal of Forecasting

    2 publications · 140 citations

    2

    h-index

  5. Management Science

    2 publications · 50 citations

    2

    h-index

1–5