A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey

  • Annalisa Barsotti
  • , Gabriele Gianini
  • , Corrado Mio
  • , Jianyi Lin
  • , Himanshi Babbar
  • , Aman Singh
  • , Fatma Taher
  • , Ernesto Damiani

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations

    Abstract

    This work surveys the research contributions of the last decade to the prediction of customer churn and adds a perspective toward what is yet to be reached. The main objective of this article is to report on (1) the methods and algorithms studied, the evaluation metrics adopted, and the results achieved, (2) the data used, and (3) the issues and limitations identified. Furthermore, the work highlights the gaps in the current literature and suggests a direction for future research.

    Original languageBritish English
    Article number404
    JournalSN Computer Science
    Volume5
    Issue number4
    DOIs
    StatePublished - Apr 2024

    Keywords

    • Causal inference
    • Churn prediction
    • Machine learning techniques
    • Telecom customer churn

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