Title :
Notice of Retraction
Customer value based on data mining
Author_Institution :
Sydney Inst. of Language & Commerce, Shanghai Univ., Shanghai, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Customer Relationship Management (CRM) is adapted “product-centric” to “customer-centric” business model. The relationship marketing strategy needs developed a new management philosophy. Customer segmentation and customer value is the one of the core functions of CRM, customer´s access, customer retention and customer value-added processes such as customer relationship management to provide comprehensive support to increase customer satisfaction and customer value. This dynamic development from the perspective of Precision Marketing, customer value in dealing with the problem, explore the interaction model based on a combination of both, to provide new applications for the CRM method.
Keywords :
customer satisfaction; customer services; data mining; marketing data processing; customer access; customer centric business model; customer relationship management; customer retention; customer satisfaction; customer segmentation; customer value added process; data mining; precision marketing; product centric business model; relationship marketing strategy; Business; Companies; Conference management; Customer relationship management; Customer satisfaction; Data mining; Educational technology; Electronic mail; Marketing management; Resource management; customer value; data mining; interaction model;
Conference_Titel :
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7660-2
DOI :
10.1109/ICENT.2010.5532131
