Concepedia

Subscriber Churn Modeling

Subscriber Churn Modeling is a predictive analytics framework that specifically identifies and quantifies the likelihood of subscribers discontinuing their engagement with a service, distinguished from general churn models by its focus on subscription-based customer attrition dynamics.

39

Publications

2.7K

Citations

100

Authors

52

Institutions

Publications per year

2017–2026

11

Parents

Publications

39

Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market

Hee-Su Kim, Choong-Han Yoon · Telecommunications Policy · 2004 · 414 citations

, , +16

A novel evolutionary data mining algorithm with applications to churn prediction

Wai-Ho Au, Keith C. C. Chan, Xin Yao · IEEE Transactions on Evolutionary Computation · 2003 · 351 citations

, , +14

Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry

Michael C. Mozer, Richard H. Wolniewicz, David B. Grimes et al. · IEEE Transactions on Neural Networks · 2000 · 349 citations

, , +17

CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services

Jonathan Burez, Dirk Van den Poel · Expert Systems with Applications · 2006 · 237 citations

, , +17

Predicting customer churn in mobile networks through analysis of social groups

Yossi Richter, Elad Yom‐Tov, Noam Slonim · 2010 · 172 citations

, , +15

1–5 of 39

Authors

100

  1. RH
    Richard H. Wolniewicz

    University of Colorado Boulder, United States

    3 publications · 474 citations

    3

    h-index

  2. MC
    Michael C. Mozer

    University of Colorado Boulder, United States

    2 publications · 394 citations

    2

    h-index

  3. HK
    Howard Kaushansky

    University of Colorado Boulder, United States

    2 publications · 394 citations

    2

    h-index

  4. ET
    Eric T. Bradlow

    University of Pennsylvania, United States

    2 publications · 145 citations

    2

    h-index

  5. DA
    David A. Schweidel

    Emory University, United States

    2 publications · 145 citations

    2

    h-index

1–5 of 100

Institutions

52

  1. Small Business Administration

    Washington, United States

    2 h-index

    2 publications

    145 citations

  2. University of Connecticut

    Storrs, United States

    2 h-index

    3 publications

    213 citations

  3. University of Wisconsin–Madison

    Madison, United States

    2 h-index

    2 publications

    145 citations

  4. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    2 h-index

    2 publications

    78 citations

  5. University of Colorado Boulder

    Boulder, United States

    2 h-index

    3 publications

    439 citations

  6. University of Lagos

    Lagos, Nigeria

    2 h-index

    4 publications

    56 citations

  7. University of Pennsylvania

    Philadelphia, United States

    2 h-index

    2 publications

    145 citations

  8. Beijing Institute of Technology

    Beijing, China

    1 h-index

    1 publications

    14 citations

1–8 of 52

Venues

  1. Journal of Marketing

    JM · 2 publications · 145 citations

    2

    h-index

  2. International Journal of Forecasting

    2 publications · 140 citations

    2

    h-index

  3. 2

    h-index

  4. International Journal of Mobile Communications

    IJMC · 1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5