The traditional retail market has characteristics of community's culture, and its nostalgic value is hard to replace. However, as the modern society has made great progress and economies grow up fast, the traditional retail markets are becoming fadeaway and out of competition with modern supermarkets. Consumer's life has become better off, and their consumption behavior has changed. The environment of traditional retail markets does not match with consumer's needs anymore. Under siege of modern supermarkets, shopping malls and convenience stores, thesecompetitors have already dismembered the function of thetraditional retail market. Therefore, the strategies regarding how to readjust and reposition traditional retail marketbecomes an important issue for all stakeholders. This researchuses quantile regression model to analyzepurchasing pattern ofeach customer in the traditional retail market and find out the customer future value. The contribution of this research will helpcompany to do their promotion more efficiently and increase the customersatisfaction and loyalty. The study result shows that the quantile regression model captures customerbehavior more precisely than ordinary least square regression model.