• DocumentCode
    3311182
  • Title

    Decision making of customer retention based on customer identification

  • Author

    Luo Yan

  • Author_Institution
    Dept. of Manage., Shanghai Univ., Shanghai, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2017
  • Lastpage
    2021
  • Abstract
    This paper proposes the theoretical framework and model of decision making of customer retention based on customer identification. First, it proposes the 3-dimentional framework model of customer identification, which incorporates the dimensions of Customer Lifetime Value, Customer Perceived Value, and Accessibility under Competition. Second, it analyses the significance of customer identification to customer retention theoretically through establishing customer identification model. Third, it explains the procedure and method of customer retention decision-making based on customer identification. Finally, by establishing the decision-making model of customer retention, it analyses the pricing strategies incorporating the factor of customer loyalty under two pricing modes respectively, which are uniform pricing and discriminating pricing. The customer retention strategy basing on customer identification can improve the efficiency of customer retention greatly, so, it is of great instructive significance to the implementation of CRM.
  • Keywords
    customer profiles; decision making; pricing; 3-dimentional framework model; CRM; customer identification model; customer lifetime value; customer loyalty; customer perceived value; customer relationship management; customer retention strategy; decision making; discriminating pricing; pricing strategies; uniform pricing; Companies; Customer relationship management; Decision making; Object recognition; Pricing; Switches; Customer Identification; Customer Relationship Management; Customer Retention; Pricing Strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019887
  • Filename
    6019887