• DocumentCode
    3222074
  • Title

    CMF: A framework to improve the management of customer churn

  • Author

    Ghorbani, Amineh ; Taghiyareh, Fattaneh

  • Author_Institution
    Dept. of Technol., Policy & Manage., Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2009
  • fDate
    7-11 Dec. 2009
  • Firstpage
    457
  • Lastpage
    462
  • Abstract
    Acquiring new customers in any business is much more expensive than trying to keep the existing ones. Many churn management models have been developed over the years, mostly focusing on prediction accuracy and not considering the range of parameters and processes essential to manage the system as a whole. This study presents CMF (churn management framework), a framework which tries to covers most of the requirement of a churn management system. Some of the results indicate that the analysis of churn reasons can have a positive impact on system efficiency. Also the preprocessing requirements of such model differ from other prediction systems thus requiring close attention. In conclusion, the profit gain of a company applying CMF is proved to be much higher than the profit gain from an ordinary churn prediction program.
  • Keywords
    consumer behaviour; customer relationship management; profitability; churn management framework; customer acquisition; customer churn management; prediction accuracy; profit gain; system efficiency; Accuracy; Art; Databases; Engineering management; Innovation management; Prediction algorithms; Predictive models; Technological innovation; Technology management; Wheels; customer churn; framework; modeling; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing Conference, 2009. APSCC 2009. IEEE Asia-Pacific
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5338-2
  • Electronic_ISBN
    978-1-4244-5336-8
  • Type

    conf

  • DOI
    10.1109/APSCC.2009.5394085
  • Filename
    5394085