Construction and testing of customer value identification model

Customer value is the value that based on customer's perceived value, which is a comprehensive comparison between perceived benefit and perceived cost. There are closely relationship of customer value and enterprise performance. The improvement of customer value contribute to enterprise performance. Based on the above theoretical analysis, the customer value was divided into 3 types that is "good", "medium" and "poor". We choose customer value scale indicators that has passed pre-tested as input nodes, and built the customer value identification model based on enterprise performance with BP neural network. The data of food (beverage) industry that include 34 listed companies financial report and questionnaire were selected. The data were input to the model we built, and simulation was acted. The result show that the identify correct rate of the model was high, and it is suit for customer value identification.