Client survival rate analysis device and analysis method based on client group partitioning

An analysis method and analysis device technology, applied in the computer field, can solve the problems of individual customer churn prediction and inaccurate prediction results, and achieve the effects of convenient customer survival, churn prediction and retention management, good marketing effect, and accurate calculation

Active Publication Date: 2018-08-21
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a customer survival rate analysis device and analysis method based on customer grouping, so as to avoid the problem of inaccurate prediction results of churn prediction for a single customer in the prior art

Method used

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  • Client survival rate analysis device and analysis method based on client group partitioning
  • Client survival rate analysis device and analysis method based on client group partitioning
  • Client survival rate analysis device and analysis method based on client group partitioning

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Embodiment

[0067] The present invention will be specifically described below in conjunction with a specific embodiment, but it should be noted that this specific embodiment is only for better describing the present invention, and does not constitute an improper limitation of the present invention.

[0068] Firstly, the transaction data of each customer is obtained through the data acquisition module 11, wherein the transaction data mainly includes: transaction time (including the time of the first transaction and the last transaction), transaction amount, transaction cost and transaction frequency.

[0069] Secondly, the customer classification module 12 is used to classify the customers into corresponding customer groups according to preset grouping rules.

[0070] Specifically, the customer classification module 12 mainly specifies customer groups, so as to perform calculations by the survival analysis module 13 and the lifetime value evaluation module 14 .

[0071] More specifically, ...

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Abstract

The invention provides a client survival rate analysis device and analysis method based on client group partitioning. The device includes a data acquisition module used for acquiring transaction dataof clients; a client classification module used for classifying the clients into corresponding client groups according to preset group partitioning rules; and a survival analysis module used for determining a survival rate of each of the client groups according to the transaction data by using a preset analysis method. Through classification of enterprise clients from a perspective of the client groups, detailed customer survival and loss prediction and customer retaining management can be effectively carried out, more and more stable customer group characteristic data are employed, the influence of random factors is reduced, so that calculation is more accurate, and an application marketing effect is better.

Description

technical field [0001] The invention relates to the field of computers, in particular to a client survival rate analysis device and analysis method based on client grouping. Background technique [0002] Customer retention refers to the dynamic process and strategy for enterprises to consolidate and further develop long-term and stable relationships with customers through efforts. Therefore, it plays a vital role in increasing revenue and improving profits for enterprises, especially for e-commerce enterprises with massive customer information Even more so. In this regard, an important task for e-commerce companies is to predict customers with a tendency to churn and identify and maintain valuable customers under the condition of limited resources. The focus of customer churn prediction is to improve the accuracy of the customer churn prediction model, as well as the analysis of the reasons that may affect customer churn and subsequent effective recovery. [0003] In the p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q30/02
CPCG06Q30/01G06Q30/0201
Inventor 刘朋飞侯捷李爱华
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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