
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services
- Author
- Jonathan Burez and Dirk Van den Poel (UGent)
- Organization
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-361860
- MLA
- Burez, Jonathan, and Dirk Van den Poel. “CRM at a Pay-TV Company: Using Analytical Models to Reduce Customer Attrition by Targeted Marketing for Subscription Services.” EXPERT SYSTEMS WITH APPLICATIONS, vol. 32, no. 2, PERGAMON-ELSEVIER SCIENCE LTD, 2007, pp. 277–88.
- APA
- Burez, J., & Van den Poel, D. (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.
- Chicago author-date
- Burez, Jonathan, and Dirk Van den Poel. 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): 277–88.
- Chicago author-date (all authors)
- Burez, Jonathan, and Dirk Van den Poel. 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.
- Vancouver
- 1.Burez J, Van den Poel D. CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services. EXPERT SYSTEMS WITH APPLICATIONS. 2007;32(2):277–88.
- IEEE
- [1]J. Burez and D. Van den Poel, “CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services,” EXPERT SYSTEMS WITH APPLICATIONS, vol. 32, no. 2, pp. 277–288, 2007.
@article{361860, author = {{Burez, Jonathan and Van den Poel, Dirk}}, issn = {{0957-4174}}, journal = {{EXPERT SYSTEMS WITH APPLICATIONS}}, language = {{eng}}, number = {{2}}, pages = {{277--288}}, publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}}, title = {{CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services}}, volume = {{32}}, year = {{2007}}, }