Target customer screening method and device

A technology of target customers and screening methods, applied in the field of data warehouse, can solve the problems of poor marketing effect, static data mining model cannot be dynamically adjusted, and inaccurate screening of marketing customers.

Inactive Publication Date: 2018-02-23
CHINA MOBILE GRP HEILONGJIANG CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a target customer screening method and device to solve the problem that the existing static dat

Method used

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  • Target customer screening method and device
  • Target customer screening method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] Such as figure 1 As shown, the target customer screening method of the embodiment of the present invention includes:

[0073] Step 100, screening out the target customers who are pre-push preset information from the customer samples to be classified;

[0074] It should be noted that the preset information usually refers to marketing information, for example, information pushed to the user for 4G phone replacement, information about subscribing to a certain functional service, and the like.

[0075] Step 200, obtaining the push feedback result after the preset information is pushed to the target customer this time;

[0076] After receiving the preset information push, the user will make a corresponding choice according to the content of the information, accept the preset information or reject the preset information, and the push feedback result is the marketing feedback result of marketing, usually including marketing success ( The result of the user accepting the mark...

Embodiment 2

[0126] Such as Figure 8 As shown, the embodiment of the present invention provides a target customer screening device, including:

[0127] Screening module 10, used to filter out the current target customers who pre-push preset information from the customer samples to be classified;

[0128] The feedback result acquisition module 20 is used to acquire the push feedback result after the preset information push is performed on the target customer this time;

[0129] The correction module 30 is configured to correct the screening model for screening target customers this time according to the push feedback results, so as to screen target customers next time according to the revised screening model.

[0130] Specifically, the screening module 10 includes:

[0131] The model acquisition sub-module is used to acquire the screening model;

[0132] The probability calculation submodule is used to calculate the probability value of each customer sample in each category in the custo...

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Abstract

The invention provides a target customer screening method and device. The target customer screening method comprises the following steps of: screening a target customer which is about to push preset information in to-be-classified customer samples; obtaining a push feedback result after the target customer pushes the preset information; and correcting a screening model for screening the target customer according to the push feedback result so as to screen the next target customer according to the corrected screening model. According to the method and device, data mining models are dynamicallyadjusted through utilizing marketing feedback results, so that the marketing customer screening correctness is improved, the marking hit rate and accuracy are greatly improved, the marketing effect isimproved, the marketing cost is greatly reduced, and the marketing input-output ratio and marketing earning are improved.

Description

technical field [0001] The invention relates to the technical field of data warehouses, in particular to a method and device for screening target customers. Background technique [0002] In the case of increasingly fierce market competition, how to improve the accuracy of target customer group selection, increase the success rate of marketing, and reduce marketing costs are issues that all e-commerce operators have been concerned about. At this stage, it is generally aimed at marketing activities in specialized fields, establishing data mining models, matching characteristics and user preferences, etc. to screen customer groups. Data mining models are generally built based on historical data analysis to find out the screening rules for the corresponding user groups, and then use the corresponding rules to obtain marketing customer groups. The latest marketing feedback results are not used in the construction process. [0003] The prior art mainly has the following two defec...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0202G06Q30/0224G06F18/24155
Inventor 赵洪松苏燕
Owner CHINA MOBILE GRP HEILONGJIANG CO LTD
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