Customer classification method and device, computer equipment and storage medium

Abstract

The invention relates to a customer classification method and device, computer equipment and a storage medium. The method comprises the following steps of: obtaining customer history data, extractingdata of classification indexes based on the customer historical data, wherein the classification indexes comprise customer first order time, latest order placing time, consumption frequency, consumption amount, average value of the weight / volume ratio and insurance price, establishing a customer value analysis model based on the classification indexes, and inputting the extracted data of the classification indexes into the customer value analysis model to obtain a customer classification result. According to the customer classification method and device, the computer equipment and the storagemedium, indexes of three dimensions are added on the basis of a traditional RFM model classification method, classification pertinence is higher, and classification is more accurate.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a customer classification method, device, computer equipment and storage medium. Background technique [0002] The advent of the information age makes the focus of enterprise marketing change from product center to customer center, and customer relationship management becomes the core issue of the enterprise. The core issue of customer relationship management is customer classification. Through customer classification, low-value customers and high-value customers are distinguished. Enterprises formulate optimized personalized service plans for different customers, adopt different marketing strategies, and concentrate limited marketing resources on high-value customers. Value customers and achieve the goal of maximizing corporate profits. [0003] With the rapid development of the Internet, the logistics industry has risen rapidly with the help of the e-commerce...

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a customer classification method, device, computer equipment and storage medium for the technical problems that the selection of indicators for classification in the RFM model classification method is relatively broad and the classification is not accurate enough

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