A novel methodological approach to SaaS churn prediction using whale optimization algorithm
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0319998
Download full text from publisher
References listed on IDEAS
- V. Kumar & Werner Reinartz, 2018.
"Customer Relationship Management,"
Springer Texts in Business and Economics,
Springer,
edition 3, number 978-3-662-55381-7, December.
- V. Kumar & Werner Reinartz, 2012. "Customer Relationship Management," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-642-20110-3, December.
- M. Ballings & D. Van Den Poel, 2012. "The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/804, Ghent University, Faculty of Economics and Business Administration.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Angelovska, Nina, 2021. "Analysis Of Customer Activity, The Importance Of Timing For Effective Marketing Actions: Case Of Group Buying Site, Grouper," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 12(2), pages 156-170.
- Faithmercy Wanyi Muthigah & David Kiragu & Anne Sang, 2022. "Effect of human resource capabilities on customer relationship management in private hospitals in Kenya," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 4(1), pages 42-48, January.
- De Caigny, Arno & Coussement, Kristof & De Bock, Koen W., 2018. "A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees," European Journal of Operational Research, Elsevier, vol. 269(2), pages 760-772.
- Raed A. M. Iriqat & Mohannad A. M. Abu Daqar, 2017. "The Impact of Customer Relationship Management on Long-term Customers’ Loyalty in the Palestinian Banking Industry," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 139-147, November.
- William A. Jackson, 2024.
"Markets as dualistic, semi-decentralized organizations,"
Review of Evolutionary Political Economy, Springer, vol. 5(1), pages 153-172, June.
- Jackson, William A., 2024. "Markets as Dualistic, Semi-Decentralized Organizations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(1), pages 153-172.
- Nicolas Ricci & Sophie Hooge, 2024. "Caractériser la diversité des processus de création dans les Industries Culturelles et Créatives : une analyse qualitative comparée des régimes de conception créatifs," Post-Print hal-04759786, HAL.
- Bachev, Hrabrin & Ivanov, Bojidar & Mitova, Dilyana & Boevski, Ivan & Marinov, Petar & Sarov, Angel & Zvetkova, Daniela & Kostenarov, Krasimir & Vanev, Dimitar, 2021. "Емпирично Изследване На Управлението На Услугите На Агроекосистемите В България [An empirical study of the management of agro-ecosystem services in Bulgaria]," MPRA Paper 105696, University Library of Munich, Germany.
- Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
- Matthias Bogaert & Lex Delaere, 2023. "Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art," Mathematics, MDPI, vol. 11(5), pages 1-28, February.
- Florinda Zegullaj & Jusuf Zeqiri & Nail Reshidi & Hyrije Abazi-Alili, 2023. "The Impact of Customer Relationship Marketing on Customer Loyalty: Evidence From the Banking Sector," International Journal of Customer Relationship Marketing and Management (IJCRMM), IGI Global, vol. 14(1), pages 1-17, January.
- Dwayne D. Gremler & Yves Vaerenbergh & Elisabeth C. Brüggen & Kevin P. Gwinner, 2020. "Understanding and managing customer relational benefits in services: a meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 565-583, May.
- Natalia & Sanny, 2018. "Understanding E-Commerce Market Using Cluster Analysis: A Case Study of the CRM Programs of Online Shopper," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 137-142:2.
- Cen Zhang & Jan-Dirk Schmöcker & Martin Trépanier, 2022. "Latent stage model for carsharing usage frequency estimation with Montréal case study," Transportation, Springer, vol. 49(1), pages 185-211, February.
- Rahman, Shimanto & Janssens, Bram & Bogaert, Matthias, 2025. "Profit-driven pre-processing in B2B customer churn modeling using fairness techniques," Journal of Business Research, Elsevier, vol. 189(C).
- Anup Srivastava, 2019. "Improving the measures of real earnings management," Review of Accounting Studies, Springer, vol. 24(4), pages 1277-1316, December.
- Julia Wamsler & Denis Vuckovac & Martin Natter & Alexander Ilic, 2024. "Live shopping promotions: which categories should a retailer discount to shoppers already in the store?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(1), pages 135-174, March.
- Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
- Miguel Fernández-Cejas & Carlos J. Pérez-González & José L. Roda-García & Marcos Colebrook, 2022. "CURIE: Towards an Ontology and Enterprise Architecture of a CRM Conceptual Model," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(5), pages 615-643, October.
- Matsuoka, Kohsuke, 2022. "Effects of revenue management on perceived value, customer satisfaction, and customer loyalty," Journal of Business Research, Elsevier, vol. 148(C), pages 131-148.
- Bram Janssens & Matthias Bogaert & Astrid Bagué & Dirk Van den Poel, 2024. "B2Boost: instance-dependent profit-driven modelling of B2B churn," Annals of Operations Research, Springer, vol. 341(1), pages 267-293, October.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0319998. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.