The Prediction Research of Cross-purchase Probability Based on Logit Model

摘要：

To measure customers cross-purchase value, first we must make sure whether there will be any cross-buying behavior and the cross-purchase possibility. Drawing on the related research about cross-purchase and customer behavior, the paper explored the factors that affect the customers cross-purchase probability, and then built the prediction model of cross-purchase probability using binary Logit model. Empirical results showed that the proposed model got better prediction results. The model has certain reference value to improve the measurement of customer cross-purchase value.

关键词： cross-purchase influencing actors cross-purchase probability prediction model

作者: CHENG Aiwu ZHANG Shuquan HUANG Chuan

作者单位: Management College, Xian Polytechnic University, China, 710048

会议类型: 国际会议

会议名称: 2009 Summit International Marketing Science and Management Technology Conference(2009 国际市场营销峰会暨管理技术大会)

会议地点: 天津

会议语种:英文

页码: 57-61

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）