Precise customer stratification method based on customer order analysis

Abstract

The invention relates to a precise customer stratification method based on customer order analysis, has relatively flexible analysis capability and can realize multiple types of stratification scheme combinations. The method comprises steps that customer order data is acquired, and the customer order data comprises historical customer order data; analysis dimensions are defined based on the customer order data; the customer order data is classified according to the dimensions; the customer order data after classification and customer data are stored; the dimensions are selected by users to screen out user costumers consistent with dimension conditions from the customer data; the user customer data screened out by the users through the dimensions is stored; the user customer data is stratified according to user selection. The method is advantaged in that the dimensions can be autonomously defined according to demands of enterprises, corresponding customer dimension data can be acquired through analysis according to the historical order data, and grouping of corresponding customer groups can be carried out by users through flexible dimension combinations according to self demands.

Description

technical field [0001] The present invention relates to the field of e-commerce data mining, in particular to a method for accurate stratification of customers based on the analysis of customer orders. Background technique [0002] With the development of the Internet, especially big data, the traditional production and wholesale sales model of enterprises has disadvantages. Because they are far away from consumers, sales performance has experienced a serious decline. Therefore, enterprises need to understand consumers better, know their behaviors clearly, know what customers like and need, what should enterprises do to arouse consumers' desire to buy, and how to improve the effect of enterprise-to-consumer marketing. In this context, it is particularly important to analyze consumer shopping behavior. Contents of the invention [0003] In view of this, the present invention provides a method for accurately stratifying customers based on customer order analysis; it has rel...

AI Technical Summary

Problems solved by technology

[0002] With the development of the Internet, especially big data, the traditional production and wholesale sales model of enterprises has disadvantages, because they are far away from consumers, and the sales performance has experienced a serious decline.

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