Renewal Forecasting

Renewal Forecasting is a predictive modeling technique within the domain of subscription analytics that estimates the likelihood and timing of contract or service renewals by analyzing historical customer behavior, engagement patterns, and contextual risk factors to support strategic decision-making in retention management.

4

Publications

119

Citations

9

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

9

  1. PT
    Pin-Yun Tarng

    National Taiwan University, Taiwan

    2 publications · 36 citations

    2

    h-index

  2. KC
    Kuan-Ta Chen

    Institute of Information Science, Academia Sinica, Taiwan

    2 publications · 36 citations

    2

    h-index

  3. HM
    Heath McDonald

    Swinburne University of Technology, Australia

    1 publications · 48 citations

    1

    h-index

  4. CH
    Chun‐Ying Huang

    National Taiwan Ocean University, Taiwan

    1 publications · 20 citations

    1

    h-index

  5. ER
    E. Ritchie

    Lancaster University Ghana, Ghana

    1 publications · 35 citations

    1

    h-index

1–5 of 9

Venues

  1. European Journal of Operational Research

    1 publications · 35 citations

    1

    h-index

  2. Network and System Support for Games

    Conference · 1 publications · 20 citations

    1

    h-index

  3. European Sport Management Quarterly

    ESMQ · 1 publications · 48 citations

    1

    h-index

  4. Entertainment Computing

    1 publications · 11 citations

1–4