| The fundamental element of Customer Relationship Management (CRM) is the assessment of customer value under the circumstance of market economy. Based on previous researches, we analyze the development of customer value evaluation system to discover customer value from both subjective cognition and objective feeling of customers. We argue that only by altering custom value indexes can we establish efficient CRM that caters the demands of customers.In this paper, we propose an improved model to evaluate different customers from both subjective value and objective value. Second, we use analytic hierarchy process to calculate the weight of each index in our model. Finally, we divide the customers into 4 user groups by clustering method. Each user group possesses different features. By identifying these features, we are able to provide distinct services to different user group, which will undoubtedly promote CRM efficiency of enterprises. |