1, decision tree analysis: classify customers according to some important attributes and evaluate them according to their status;

2. Statistical classification: establish customer value model through classification;

3. Analytic Hierarchy Process: The customer relationship can be measured at different levels, levels and aspects, and then the customer value can be evaluated;

4. Cluster analysis: according to the similarities and differences between customers, customers are divided into different groups, and then the value of customers is analyzed;

5. Contact analysis method: analyze the value of customers according to the contact between customers.

Therefore, according to the customer's value, it can be divided into potential value and actual value. The actual value includes financial indicators and sales indicators, which are very obvious and directly visible; Potential value includes customer index and service index, which can be measured according to the potential value of customers to our enterprise, and finally weighted average score in four aspects. Therefore, the customer scorecard will definitely be a trend in the future.