Customer churn rate prediction method and device, electronic device and storage medium

Abstract

The invention provides a customer churn rate prediction method and device, an electronic device and a storage medium, and the method comprises the steps of receiving a customer churn rate prediction request sent by a target bank outlet, wherein the customer churn rate prediction request comprises the basic information of a target customer; on the basis of the basic information of the target customer, obtaining the feature information of each target feature factor in at least one target feature factor from a database of the target bank outlet, wherein the target feature factors are feature factors having influences on the customer churn rate; and inputting the feature information of each target feature factor into a customer churn rate prediction model, so that the customer churn rate prediction model performs customer churn rate prediction according to the feature information of each target feature factor to obtain the customer churn rate of the target customer, wherein the customer churn rate prediction model is obtained by training a DNN neural network by using the feature information of each target feature factor corresponding to each historical customer in the target bank outlet. According to the invention, the accuracy of predicting potential lost customers can be improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more specifically, to a method, device, electronic equipment and storage medium for predicting customer churn rate. Background technique [0002] With the continuous development of society, the market competition among various banks is becoming more and more fierce. It is found through research that the cost of attracting a new customer is several times that of retaining an old customer. Therefore, in order to retain old customers, you can advance Predict potential churn customers. [0003] In the prior art, it is mainly based on analyzing historical data by bank staff to determine potential lost customers. However, through the staff's analysis of historical data, it is easy to determine the potential lost customers inaccurately due to the subjective judgment of the staff. Contents of the invention [0004] In view of this, the present invention provides a customer churn r...

AI Technical Summary

Problems solved by technology

However, through the analysis of historical data by the staff, it is easy to determ...

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