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Unterstützung kundenbezogener Entscheidungsprobleme : eine Analyse zum Potenzial moderner Klassifikationsverfahren
Lessmann, Stefan; Voß, Stefan - In: Wirtschaftsinformatik : WI ; Organ der Fachbereichs … 52 (2010) 2, pp. 79-93
Persistent link: https://www.econbiz.de/10003956300
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Profit driven decision trees for churn prediction
Höppner, Sebastiaan; Stripling, Eugen; Baesens, Bart; … - In: European journal of operational research : EJOR 284 (2020) 3, pp. 920-933
Persistent link: https://www.econbiz.de/10012238921
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Customer Churn Prediction Embedded in an Analytical CRM Model
Lázár, Ede - 2018
This paper presents a practical implementation of an analytical customer relationship (CRM) model, which aims to increase the customer satisfaction, thereby reducing the rate of attrition. The analytical CRM model not only manages and synchronizes customer relationship management processes, but...
Persistent link: https://www.econbiz.de/10014110148
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A framework for identification of high-value customers by including social network baded variables for churn prediction using neuro-fuzzy techniques
Abbasimehr, Hossein; Setak, Mostafa; Soroor, Javad - In: International journal of production research 51 (2013) 4, pp. 1279-1294
Persistent link: https://www.econbiz.de/10009689206
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Comparing churn prediction techniques and assessing their performance : a contingent perspective
Tamaddoni, Ali; Stakhovych, Stanislav; Ewing, Michael - In: Journal of service research : JSR 19 (2016) 2, pp. 123-141
Persistent link: https://www.econbiz.de/10011485372
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Improving customer loyalty evaluation methods in the grocery retail industry : a data mining approach
Khodabandehlou, Samira; NikNafs, Ali Akbar - In: International journal of electronic customer … 10 (2016) 2/4, pp. 158-178
Persistent link: https://www.econbiz.de/10011688029
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A stacking-based data mining solution to customer churn prediction
Shabankareh, Mohammad Javad; Shabankareh, Mohammad Ali; … - In: Journal of relationship marketing : innovations and … 21 (2022) 2, pp. 124-147
Persistent link: https://www.econbiz.de/10013336326
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Understanding service retention within and across cohorts using limited information
Schweidel, David A.; Fader, Peter; Bradlow, Eric T. - In: Journal of marketing 72 (2008) 1, pp. 82-94
Persistent link: https://www.econbiz.de/10003643026
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No future without the past? : Predicting churn in the face of customer privacy
Holtrop, Niels; Wieringa, Jaap E.; Gijsenberg, Maarten J.; … - In: International journal of research in marketing : IJRM ; … 34 (2017) 1, pp. 154-172
Persistent link: https://www.econbiz.de/10011671950
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CRM in social media : predicting increases in Facebook usage frequency
Ballings, Michel; Van den Poel, Dirk - In: European journal of operational research : EJOR 244 (2015) 1, pp. 248-260
Persistent link: https://www.econbiz.de/10010531944