Churn Variables

Churn Variables is a segmentation variable framework that identifies and quantifies behavioral, transactional, and attitudinal indicators predictive of customer disengagement or termination within a subscription-based or ongoing service relationship.

43

Publications

2.3K

Citations

119

Authors

67

Institutions

Publications per year

2017–2026

20

Authors

119

  1. DV
    Dirk Van den Poel

    Ghent University, Belgium

    2 publications · 427 citations

    2

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  2. BL
    Bart Larivière

    Ghent University, Belgium

    2 publications · 427 citations

    2

    h-index

  3. WV
    Wouter Verbeke

    KU Leuven, Belgium

    2 publications · 148 citations

    2

    h-index

  4. MC
    Mao-Yuan Chen

    National Taiwan University Hospital, Taiwan

    1 publications · 116 citations

    1

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  5. HS
    Heiko Stüber

    Institut für Arbeitsmarkt und Berufsforschung, Germany

    1 publications · 16 citations

    1

    h-index

1–5 of 119

Venues

  1. Expert Systems with Applications

    5 publications · 386 citations

    5

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  2. Neural Computing and Applications

    3 publications · 74 citations

    3

    h-index

  3. Games and Culture

    1 publications · 19 citations

    1

    h-index

  4. 1

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  5. Technological Forecasting and Social Change

    1 publications · 28 citations

    1

    h-index

1–5