Customer portrait-based customer loss prediction and retrieval method and system

Abstract

The invention discloses a customer portrait-based customer loss prediction and retrieval method and system. The customer portrait-based customer loss prediction and retrieval method comprises the steps of S1, obtaining various types of related information of customers; S2, mapping the customer information to customer portraits to obtain customer features, and performing system description on the customer information in a specific business scene; S3, after the customer features are obtained, predicting the customer loss condition by using a machine learning model; S4, for the prediction resultof the customer loss condition in the S3, performing personalized marketing retrieval on the customers with high customer loss probability; S5, updating the labels of the customers according to the response condition of the customers to the marketing activity, and completing the updating of the customer portraits; S6, optimizing the customer loss prediction model. A label system is built through the customer portraits, customer loss prediction is carried out through the formed features, customer requirements can be known, and a foundation is laid for providing targeted services for customers.

Description

technical field [0001] The invention relates to the field of customer loss prediction, in particular to a method and system for customer loss prediction and recovery based on customer portraits. Background technique [0002] Customer resources are one of the vital resources of commercial banks, and preventing customer loss has become an important measure for commercial banks in the face of fierce competition. Using big data to timely discover high-risk churn customer groups, predict customer churn trends, and carry out targeted marketing activities is of great significance to minimize customer churn rate and retain customer resources. [0003] At present, most managers traditionally adopt a retrospective approach to solve the problem of customer churn, that is, formulate marketing strategies accordingly by comparing the status of customers before and after marketing activities, which is cumbersome, time-consuming, inefficient and costly. Contents of the invention [0004]...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for predicting and recovering customer churn based on customer portraits, aiming at solving the cumbersome and time-consuming process of formulating marketing strategies by comparing the status of customers before and after marketing activities in the prior art , low efficiency and high cost

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