Churn Driver Analysis
Churn Driver Analysis is a systematic methodological approach that identifies and evaluates the underlying factors influencing customer attrition within a predictive analytics framework, distinguishing itself by focusing on causal inference and variable significance in retention modeling.
15
Publications
1K
Citations
37
Authors
23
Institutions
Publications per year
2017–2026
4
Parents
15
Customer Retention via Data Mining
KianSing Ng, Huan Liu · Artificial Intelligence Review · 2000 · 104 citations
1–5 of 15
37
2
h-index
2
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1
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1
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1
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1–5 of 37
23

Ghent University
Ghent, Belgium
2 h-index
4 publications
854 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
2 publications
96 citations
Ludwig-Maximilians-Universität München
Munich, Germany
1 h-index
2 publications
40 citations

University of Lagos
Lagos, Nigeria
1 h-index
2 publications
32 citations
Telenor (Norway)
Sandvika, Norway
1 h-index
1 publications
32 citations
CY Cergy Paris Université
Cergy-Pontoise, France
1 h-index
1 publications
19 citations

University of Belgrade
Belgrade, Serbia
1 h-index
2 publications
84 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
19 citations
1–8 of 23
OR · 2 publications · 146 citations
2
h-index
EJM · 1 publications · 32 citations
1
h-index
1 publications · 25 citations
1
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IJRM · 1 publications · 19 citations
1
h-index
1 publications · 75 citations
1
h-index
1–5