Customer Classification Method and System
A classification method and customer technology, applied in the field of data processing, can solve problems such as customer classification, and achieve reasonable classification and the effect of precise marketing
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no. 1 example
[0060] Such as figure 1 As shown, the first embodiment of the present invention proposes a customer classification method, which includes the following steps:
[0061] S100, acquiring information of all customers.
[0062] Specifically, relevant information of all customers that need to be classified and counted is acquired, wherein the number of customers is n (n is a positive integer).
[0063] S102, filtering preset information fields from information of each customer.
[0064] Specifically, m information fields with reference value (m is a positive integer) can be preset as a basis for classifying customers. That is, each customer includes m effective information fields, such as the region where the customer is located, the nature of the unit where the customer is located, the customer's previous insurance purchase responsibilities, insurance amount, premium, and claim information.
[0065] In this embodiment, the contents of the m information fields can be converted in...
no. 2 example
[0099] Such as Figure 5 As shown, the second embodiment of the present invention proposes a customer classification system 50 . In this embodiment, the customer classification system 50 includes an acquisition module 502 , a screening module 504 , a calculation module 506 and a classification module 508 .
[0100] The acquiring module 502 is configured to acquire information of all customers.
[0101] Specifically, the acquisition module 502 acquires relevant information of all customers that need to be classified and counted, wherein the number of customers is n (n is a positive integer).
[0102] The screening module 504 is configured to screen preset information fields from the information of each customer.
[0103] Specifically, m information fields with reference value (m is a positive integer) can be preset as a basis for classifying customers. That is, each customer includes m effective information fields, such as the region where the customer is located, the nature...
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