Method for segmenting metered industry customers on basis of CRFM (customer recency, frequency and monetary) models

Abstract

The invention provides a method for segmenting metered industry customers on the basis of CRFM (customer recency, frequency and monetary) models. The method includes extracting historical sample dataof the metered customers; preprocessing the extracted sample data; defining and computing index values in the CRFM models and carrying out normalization processing on the index values; clustering themetered inspected customers on the basis of the index values of the CRFM models by the aid of K-Means algorithms; computing average values of various indexes of different clustered customer groups, comparing the average values of the various indexes of the different clustered customer groups to average values of various indexes corresponding to the sample data before the sample data are clustered,creating customer classification matrixes according to change of index values and classifying values of the customer groups. The index values in the CRFM models include recent inspection time R, inspection frequencies F, detection money amounts M and average inspection periods C. The method for segmenting the customers has the advantages that the method is combined with actual business requirements of metered industries, accordingly, the customers can be segmented, bases can be provided for customizing personalized service, and the ultimate purpose of maximizing profits of the metered industries can be achieved.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a method for subdividing customers in the metering industry based on a CRFM model. Background technique [0002] Using data mining technology to extract customer transaction behavior characteristics has gradually become an important strategic means for various industries to formulate differentiated marketing strategies, improve customer loyalty, and maximize customer value. In order to understand the consumption behavior of different customer groups, techniques such as customer segmentation are widely used. At present, domestic metrology institutions do not have a relatively complete customer segmentation system to unify and integrate metrology customer resources. [0003] Among the many customer relationship management (CRM) analysis models, the RFM model is widely mentioned. The RFM model is an important tool and means to measure customer value and customer profitability. It is base...

AI Technical Summary

Problems solved by technology

A single RFM model cannot satisfy the management of each type of customer relationship, nor can it comprehensively subdivide the behavioral characteristics of customers. In view of this, the present invention proposes a customer detail analysis based on an improved RFM model (CRFM model). Different methods to maximize the profit of the metrology industry

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