Big data customer value evaluation method and device

A customer value and big data technology, applied in the field of big data customer value evaluation, can solve problems such as few analyzable dimensions, low reliability of portrait analysis results, and inability to guarantee data accuracy, etc. The source is accurate and reliable, and the effect of strong practicability

Inactive Publication Date: 2017-05-31
广州帷策智能科技有限公司
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide an analyzable dimension with more , A method and device for big data customer value evaluation that can ensure the accuracy of data and the credibility of portrait analysis results

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  • Big data customer value evaluation method and device
  • Big data customer value evaluation method and device
  • Big data customer value evaluation method and device

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] In the method and device embodiment of the big data customer value evaluation of the present invention, the flow chart of the method for the big data customer value evaluation is as follows figure 1 shown. figure 1 Among them, the method of big data customer value evaluation includes the following steps:

[0043] Step S01 The customer selects the corresponding ID type on the browser interface according to the existing target group ID data: In this step...

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Abstract

The invention discloses a big data customer value evaluation method and device. The method includes that a customer selecting a corresponding ID type on a browser interface according to existing target population ID data; the customer uploads the target population ID data to a background server according a specified format; the customer checks dimensionality needing to be analyzed from provided dimensionalities by combining with own needs; the customer inputs name information of an analysis result report to be generated; the customer submits a portrait analysis task to the background server after confirming that there is no error in a data source, the selected dimensionality and the name information; the background server extracts and analyzes the target population ID data according to a set time period; after analysis is completed, the customer logs in a webpage, checks and downloads the analysis result report in a word format into a local file directly on the browser interface. The method can analyze many dimensionalities, can guarantee data accuracy and is high in reliability of portrait analysis results.

Description

technical field [0001] The invention relates to the field of big data customer evaluation, in particular to a method and device for big data customer value evaluation. Background technique [0002] The currently widely used user portrait service only focuses on the traffic source of the target web page, the interactive operation of the target user on the page, and the basic personal information filled in by existing users when registering related accounts. There are few types of data sources, resulting in There are also few dimensions that can be analyzed; and the types of data will change with the type of customer's company. For example, in addition to the basic information and browsing actions of the user, the e-commerce company also collects information such as the type of product browsed by the user and the purchase history, but the analysis The results can only explain the user's shopping preferences in some scenarios, but cannot indicate the user's consumption level, e...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor 江颖黄仕玲吴国斌张馨钟山
Owner 广州帷策智能科技有限公司
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