Predictive Churn Scoring

Predictive Churn Scoring is a data-driven analytical method that quantitatively estimates the likelihood of individual customers terminating their relationship with a service provider by assigning a risk score based on historical behavioral and transactional patterns.

6

Publications

220

Citations

22

Authors

11

Institutions

Publications per year

2017–2026

4

Authors

22

  1. VK
    V. Kavitha

    Sri Ramachandra Institute of Higher Education and Research, India

    1 publications · 49 citations

    1

    h-index

  2. DŚ
    Dominik Ślȩzak

    University of Warsaw, Poland

    1 publications · 62 citations

    1

    h-index

  3. GD
    Gideon Dror

    Academic College of Tel Aviv-Yafo, Israel

    1 publications · 41 citations

    1

    h-index

  4. IG
    Isabelle Guyon

    Gleason (United States), United States

    1 publications · 41 citations

    1

    h-index

  5. EZ
    Eftim Zdravevski

    Ss. Cyril and Methodius University in Skopje, North Macedonia

    1 publications · 62 citations

    1

    h-index

1–5 of 22

Venues

  1. 1

    h-index

  2. Applied Soft Computing

    1 publications · 62 citations

    1

    h-index

  3. Electronic Commerce Research and Applications

    1 publications · 17 citations

    1

    h-index

  4. Data & Knowledge Engineering

    DKE · 1 publications · 22 citations

    1

    h-index

  5. Postmodern Openings

    1 publications · 12 citations

1–5