Research On Customer Classification Method Based On Fuzzy Clustering

With the competition of corporation become more and more vehement, customer relationship management (CRM) has been playing the key role in modern corporation which come to the top. Actually, every functional gradation CRM carries its idea and goal out by customer classification. In this paper, new development and the existing difficulties of customer classification are discussed in order to help corporation classify customers by a comprehensive classification method.We integrate theories and models methods and example models and application researches into a new classified model-Fuzzy Clustering classify model. This model use Fuzzy Clustering to analyse and deal with customers' demands dynamic and duly. It construct fuzzy matrix based on the attributes of customers. And then it confirm the classify relationship according to some subjections. Again, the model introduces fuzzy mathematics to calculate and conduct relevant data, which blurs the borderlines of customer classification and helps corporations classify customers more naturally and realistically.By experimental research, both the rationality and the validity are validated. Fuzzy Clustering classify model not only can classify customers effectively, but also can imply different relationships between customers and customer classifications. According to those classification, corporations can make different decisions on individuation marketing strategies to improve relationships between customers and the corporation. The strategies will convert the most potential customers to the most valuable customers, and convert the remained customers to the most potential customers, give up the deserted customers, so that the corporations can increase customer value and gain more sales and profits, implement CRM in the organization thoroughly, realize the win-win goal finally.