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Fee-paying channel preference analysis and prediction method for power clients based on RFM model

A forecasting method and channel technology, applied in forecasting, marketing, instruments, etc., can solve problems such as questionnaire data deviation, inability to directly reflect business needs, deviation, etc.

Inactive Publication Date: 2017-08-29
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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Problems solved by technology

The disadvantages of this method are: there is usually a certain deviation between the questionnaire data and the real data distribution; this method cannot directly reflect the actual business needs of a certain payment channel in a certain region
The disadvantage of this method is that there is a certain deviation between the analysis results of the electricity customer payment channel preference and the real data distribution, and it cannot directly present the comprehensive value of each payment channel

Method used

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  • Fee-paying channel preference analysis and prediction method for power clients based on RFM model
  • Fee-paying channel preference analysis and prediction method for power clients based on RFM model
  • Fee-paying channel preference analysis and prediction method for power clients based on RFM model

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Embodiment 1

[0047] Such as figure 1 As shown, the RFM model-based method for analyzing and predicting electricity customer payment channel preference includes the following steps:

[0048] Step 1. Extract customer payment records from the marketing business system, mainly including user number, payment amount, payment channel, and payment time;

[0049] Step 2. Set the analysis date, and extract the time interval of the latest payment of each payment channel for each user, the payment frequency of the analysis period, and the average payment amount of the analysis period from the customer payment records, namely R, F, M, And do standardization, the specific formula is as follows:

[0050]

[0051] where x j is the index value of item j of the i-th user, x max is the maximum value of the jth item index in the sample set, x min is the minimum value of the jth item index in the sample set, x ij The standardized value of the i-th user's j-th indicator;

[0052] Step 3. Calculate the ...

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Abstract

The invention discloses a fee-paying channel preference analysis and prediction method for power clients based on an RFM model. The method comprises that a fee-paying record of the clients is extracted from a marketing service system; an analysis date is set, and a time interval R of latest fee paying, the fee paying frequency F of an analysis period and the average fee-paying amount M of the analysis period of each client in each fee-paying channel are extracted from the client fee-paying record; the R, F and M values of the each client in each fee paying channel are standardized; the R, F and M weight coefficients of each fee paying channel are calculated according to an entropy method, and a calculation formula of the RFM model of each fee-paying channel is determined finally; and a preference score of each client in each channel is calculated according to the RFM model. Thus, fee-paying channel preference of each client can be identified accurately, and a practical service demand of certain fee-paying channel in certain region can be reflected directly.

Description

technical field [0001] The invention belongs to the field of electric power marketing services, and in particular relates to an RFM model-based method for analyzing and predicting the payment channel preference of electric power customers. Background technique [0002] The payment channel is the window of marketing services for power customers and the forefront of power grid enterprises facing the market. Effective payment service channels can not only enhance marketing capabilities, improve the level of rapid response to the market, but also help improve customer satisfaction and loyalty. Under the background of "Internet +", drastic changes have taken place in the payment channel system of power grid companies in recent years. Although traditional payment methods such as walk-in, sit-down, and bank withholding still account for a large proportion, emerging online payment channels are growing rapidly. Mobile APP, WeChat, Alipay, and online business halls are increasingly ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q50/06
CPCG06Q10/04G06Q30/0202G06Q50/06
Inventor 耿俊成张小斐郭志民袁少光吴博万迪明杨磊平燕娜刘枫琪王敏
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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