Academic Papers about Customer Churn

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VEZZOLI M., ZOGMAISTER C., VAN DEN POEL D. (2020), Will they stay or will they go?, Journal of Applied Marketing Analytics, 6 (2), 1-15.

BALLINGS M., VAN DEN POEL D. & VERHAGEN E. (2014), Evaluating the Added Value of Pictorial Data for Customer Churn Prediction, Working Paper UGent FEB.

Michel Ballings, Dirk Van den Poel (2012), The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?, Expert Systems with Applications 39 (18), 13517-22.

V.L. Migueis, Dirk Van den Poel, A.S. Camanho, Joao Falcao e Cunha (2012), Predicting partial customer churn using Markov for Discrimination for modeling first purchase sequences, Forthcoming in Advances in Data Analysis and Classification.

V.L. Migueis, Dirk Van den Poel, A.S. Camanho, Joao Falcao e Cunha (2012), Modeling partial customer churn: On the value of first product-category purchase sequences, Expert Systems with Applications, 39 (12), 11250-11256.

BENOIT D.F. & VAN DEN POEL D. (2012), Improving Customer Retention in Financial Services Using Kinship Network Information, Expert Systems with Applications, 39 (13), 11435-11442.

DE BOCK K.W. & VAN DEN POEL D. (2012), Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models, Expert Systems with Applications, 39 (8), 6816-6826.

DE BOCK K.W. & VAN DEN POEL D. (2011), An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction, Expert Systems with Applications, 38 (10), 12293-12301.

COUSSEMENT Kristof, VAN DEN POEL Dirk (2009), Improving Customer Attrition Prediction by Integrating Emotions from Client/Company Interaction Emails and Evaluating Multiple Classifiers, Expert Systems with Applications, 36 (3), 6127-6134.

BUREZ Jonathan, VAN DEN POEL Dirk (2009), Handling Class Imbalance in Customer Churn Prediction, Expert Systems with Applications, 36 (3), 4626-4636.

BUREZ Jonathan, VAN DEN POEL Dirk (2008), Separating Financial From Commercial Customer Churn: A Modeling Step Towards Resolving The Conflict Between The Sales And Credit Department, Expert Systems with Applications, 35 (1), 497-514.

COUSSEMENT Kristof, VAN DEN POEL Dirk (2008), Churn Prediction in Subscription Services: An Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques, Expert Systems with Applications, 34 (1), 313-327.

BUREZ Jonathan, VAN DEN POEL Dirk (2007), CRM at a Pay-TV Company: Using Analytical Models to Reduce Customer Attrition by Targeted Marketing for Subscription Services, Expert Systems with Applications, 32 (2), 277-288.

PRINZIE Anita, VAN DEN POEL Dirk (2006), Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM, Decision Support Systems, 42 (2), 508-526.

BUCKINX Wouter, VAN DEN POEL Dirk (2005), Customer Base Analysis: Partial Defection of Behaviorally-Loyal Clients in a Non-Contractual FMCG Retail Setting, European Journal of Operational Research, 164 (1), 252-268 .

LARIVIERE Bart & VAN DEN POEL Dirk (2004), Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services, Expert Systems with Applications, 27 (2), 277-285.

VAN DEN POEL Dirk, LARIVIERE Bart (2004), Customer Attrition Analysis for Financial Services Using Proportional Hazard Models, European Journal of Operational Research, 157 (1), 196-217.