Cited by 117Customer churn and segmentationCustomer Service Quality and LoyaltyData Mining and Machine Learning Applications

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Improved marketing decision making in a customer churn prediction context using generalized additive models

Coussement, Kristof, Benoit, Dries F., Van den Poel, Dirk·2010·Expert Systems with Applications

DOI 10.1016/j.eswa.2009.07.029

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Authors: Coussement, K., Benoit, D. F., & Van den Poel, D.
Affiliations: Ghent University (BE)
Corresponding author: Coussement, Kristof
ORCID: Coussement, Kristof
Benoit, Dries F.
Venue: Expert Systems with Applications
Publisher: Elsevier BV
Published: 2010-03-15
Volume: 37
Issue: 3
Pages: 2132-2143
ISSN: 0957-4174 (ISSN-L)
DOI: 10.1016/j.eswa.2009.07.029
OpenAlex: W2075364988
Cited by: 117
References: 49
Citations by year: 2026: 3 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 11 · 2021: 13 · 2020: 9 · 2019: 7 · 2018: 8 · 2017: 7 · 2016: 3 · 2015: 8 · 2014: 5 · 2013: 11 · 2012: 9
FWCI: 20.74
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Expert Systems with Applications (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
HAL (submittedVersion)
Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Topics: Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
Keywords: customer churn prediction, generalized additive models, marketing decision-making, customer relationship management, nonlinear relationship, model interpretability, risk identification, logistic regression comparison, business value

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Improved marketing decision making in a customer churn prediction context using generalized additive models

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