Customer segmentation-based method for controlling churn rate prediction

A user churn and control method technology, applied in the field of churn rate prediction models based on user segmentation, can solve the problems of low accuracy and precision, no feedback and training methods, and high accuracy, so as to improve accuracy, Predict accurate performance

Inactive Publication Date: 2013-03-06
EAST CHINA NORMAL UNIV
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Problems solved by technology

However, in practical applications, the churn rate prediction algorithm has a scope of use. The accuracy of the churn rate prediction is high for some users with specific attributes, not for all users; moreover, in the churn rate prediction In the case of low accuracy and precision, there is no feedback and training method

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  • Customer segmentation-based method for controlling churn rate prediction
  • Customer segmentation-based method for controlling churn rate prediction
  • Customer segmentation-based method for controlling churn rate prediction

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Embodiment Construction

[0023] Other characteristics, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0024] figure 1 It shows the flow chart of the churn rate prediction algorithm based on user segmentation according to the first embodiment of the present invention. Specifically, this figure shows four steps. First, step S201 is to extract the user parameter set, which is technical in the art Personnel understand that the user parameter set is used to measure user value, and the user parameter set is based on the user's demographic information, user behavior information, product information and other data as a data source, after preprocessing the data source, and then extracting A set of parameters representing user value, where user value is determined according to different decision makers and forecast environments. Then step S202 is executed, selecting a subd...

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Abstract

The invention provides a customer segmentation-based method for controlling churn rate prediction. The method comprises the following steps of: a, collecting original data; b, carrying out pretreatment on the original data; c, extracting a client value parameter set; d, selecting a user segmentation algorithm; e, generating a user segmentation group; f, selecting an appropriate churn rate prediction algorithm; g, calculating and predicting the churn rate; h, feeding back the prediction result; and I, outputting the prediction result. The method comprises carrying out segmentation according to selected users, and furthermore predicting by using an appropriate churn rate predication algorithm, and the method has the advantages that the user attribute characteristics of the user are mastered effectively, the user is segmented accurately, and the user churn rate is predicted accurately.

Description

technical field [0001] The present invention relates to the field of user churn rate, in particular, it is a churn rate prediction model based on user subdivision. Background technique [0002] Customer churn has always been a research hotspot in academia and industry. The problem of customer churn includes reasons for churn, churn classification, churn prediction, and customer recovery. Among them, how to accurately predict customer churn is the core of customer churn analysis. the core issue. [0003] The current user churn prediction algorithm mainly collects data such as user demographic information, user behavior information, and product information as data sources, then preprocesses the data, and then directly uses the churn rate calculation algorithm to predict the churn rate. Finally, the churn rate prediction result is output. [0004] In the current churn rate algorithm, after the data is preprocessed, the churn rate is directly predicted for the data, and all us...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 宋树彬王伟杰吴奔斌霍晓骏吴琴范娜贺樑杨燕
Owner EAST CHINA NORMAL UNIV
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