• DocumentCode
    3461611
  • Title

    Customer Life-Long Value Computing Research Based on Expenditure Assignment

  • Author

    Zu, Qiaohong ; Chen, Dingfang

  • Author_Institution
    Sch. of Logistics Eng., WHUT, Wuhan
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The customer life-long value is the key factor to survey the customer relationship management plan to be successful or not, its influencing factor is very complex, and many factors´ influence hasn´t very good quantification means at present. In this paper, the customer life-long value´s composition was analyzed, the influencing factor and the computational method of the customer life-long value was analyzed, too. Then the customer life-long value model based on customer expenditure assignment was researched. This model can manifest the influence to the customer life-long value effectively that the change of enterprise to the customer´s retention rate, the customer´s purchase transformation variation and the market competition environmental variation have done. Because the customer´s purchase transformation change conformed the request of the Markov chain about the non after effect´s supposition, it is proposed that the flowing customer percentage was forecasted with the Markov forecast model. Combining with the case, the quantitative analysis was made on the influence of customer´s expenditure assignment to the customer life-long value.
  • Keywords
    Markov processes; customer relationship management; Markov chain; Markov forecast model; customer expenditure assignment; customer life-long value computing research; quantitative analysis; Cities and towns; Companies; Costs; Customer relationship management; Economic forecasting; Frequency; Logistics; Maintenance engineering; Predictive models; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1980
  • Filename
    4680169