Customer value analysis method and device, and storage medium

A customer value and customer technology, applied in the field of data processing, can solve problems such as difficulty in finding new customers, high-value customers, inaccurate classification, etc., and achieve the effect of maximizing profit and large conversion rate

Pending Publication Date: 2020-08-04
广东好太太智能家居有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In customer classification, the RFM model is a classic classification model. The model uses the three core indicators in the general transaction link - recent consumption interval (Recency), consumption frequency (Frequency), consumption amount (Monetary) to segment customers Groups, so as to an

Method used

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  • Customer value analysis method and device, and storage medium
  • Customer value analysis method and device, and storage medium

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Embodiment 1

[0031] Such as figure 1 As shown, the present invention provides a method for customer value analysis, which specifically includes the following steps:

[0032] Step S1, extract data source data to form a data set; the data set includes a historical data set obtained by selective extraction and an incremental data set obtained by new data extraction. Specifically, a time with a width of one year is extracted from the background database as the observation window, and the basic information and consumption information of customers within the observation window are selectively extracted as the historical data set. For subsequent new customers, the latest time point in the new data is used as the end time, and the basic information and consumption information of the new customers are extracted as incremental data sets. The basic customer information includes age, gender, education level, occupation and location; the consumption information includes consumption times, first consum...

Embodiment 2

[0048] Such as figure 2 As shown, an electronic device includes a memory, a processor, and a program stored in the memory. The program is configured to be executed by the processor. When the processor executes the program, the steps of the above-mentioned customer value analysis method are implemented. .

[0049] In addition, the present invention also provides a storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the aforementioned method for customer value analysis are realized. The invention is applicable to numerous general purpose and special purpose computing system environments or configurations. Examples: personal computers, server computers, handheld or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, including the above A distributed computing ...

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Abstract

The invention discloses a customer value analysis method and device, and a storage medium. The method comprises the following steps: extracting data source data to form a data set, wherein the data set comprises a historical data set obtained by selective extraction and an incremental data set obtained by newly added data extraction; performing data exploration and preprocessing on the data set toenable the data set to meet a data format required by model establishment; establishing an LRFMCT model according to the preprocessed data set, wherein the LRFMCT model comprises six indexes, L is the customer relationship length, R is the latest consumption time interval, F is the consumption frequency, M is the consumption amount, C is the average discount coefficient, and T is the average residence time; performing customer grouping based on the LRFMCT model, and performing feature analysis on each customer group to obtain different customer values. According to the method, the defects ofa traditional RFM model are overcome, feature analysis is carried out on each customer group, customers with different values are identified, customized services are provided, and precise operation isrealized.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method, device and storage medium for customer value analysis. Background technique [0002] In the face of fierce market competition, most enterprises will launch a series of preferential marketing plans to attract more customers. The focus of enterprise marketing has changed from products to customers, and customer relationship management has become the core issue of enterprises. The core issue of customer relationship management is customer classification. Through customer classification, customer groups are subdivided, low-value customers and high-value customers are distinguished, and personalized services are provided to different customer groups. Enterprises can reasonably allocate limited resources to Customers of different values, realize precise operation, in order to obtain the maximum conversion rate and achieve the goal of maximizing profits. Accurate customer class...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06Q30/0207G06F18/23213
Inventor 沈汉标王妙玉童威云吴宁泉黄宇航
Owner 广东好太太智能家居有限公司
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