Abstract:  Based on customer perceived value (CPV) and using the customer segmentation theory, an empirical study is been conducted. Taking for example the logistics public information platform (LPIP), a general process of performing customer segmentation based on CPV is proposed：Firstly, the driving factors of customer perceived value are determined by a literature review and a questionnaire survey. Secondly, driving factor variables are reduced by a factor analysis. Then, the customer categories are identified by using clustering method. Finally, customer classification rules are found using decision tree method. In the end, according to customer characteristics, customers of LPIP fall into 4 categories: customers expecting high value, customers expecting medium value, customers expecting low value, customers expecting high performance. Research results can provide reference for different enterprises to fractionalize customers.