Title :
B2C E-Commerce´s Customer Relationship Management Based on the Long Tail
Author :
Bin, CAO ; Qiang, Ye
Author_Institution :
Harbin Inst. of Technol., Harbin
Abstract :
With the development of computer technology and network communications technology, e-commerce has a rapid development on a global scale. B2C e-commerce as a new shopping channel, because it has characteristics of providing sufficient information, breaking time and space boundaries, low-cost and real time, has rapid development. As a channel for transactions, B2C e-commerce also needs to be supported by appropriate customer relationship management (CRM). So e-commerce companies need to do customer segmentation based on their value, and then take appropriate customer relationship management strategy. The long tail, as the basis of a new business model, emphasizes the value of sporadic demand and small customers. In this paper we propose a new customer value model in the new economic environment based on the long tail and then offer corresponding customer relationship management strategies.
Keywords :
Web sites; customer relationship management; electronic commerce; retail data processing; statistical analysis; B2C e-commerce customer relationship management; Web sites; business model; computer technology; customer value model; long tail market; network communication technology; shopping channel; Business; Computer network management; Conference management; Customer relationship management; Engineering management; Internet; Marketing and sales; Probability distribution; Space technology; Technology management; B2C; CCV; CPV; customer relationship management; the long tail;
Conference_Titel :
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-7-88358-080-5
Electronic_ISBN :
978-7-88358-080-5
DOI :
10.1109/ICMSE.2007.4421848