Study on purchase probability model in CRM systems

Abstract

Representative customer's purchase probability is the basis to analyze the purchase behavior of always-a-share customer's segment. Currently, analyzing the representative customer's purchase probability with the Dwyer model is quite complicated. Using uncertain reasoning, a back-tracking Dwyer model and its algorithm are presented in this paper, which solves this problem in a more effective way. The work of this paper is helpful to design analytical CRM systems.