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Potential customer identification method based on effective connection

A technology for customer identification and effective connection, applied in the field of data processing, which can solve problems such as reduced user activity

Pending Publication Date: 2021-01-26
杭州卡欧科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method for identifying potential customers based on effective connections, which aims to solve the problem of reduced user activity caused by blind marketing strategies in the prior art

Method used

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  • Potential customer identification method based on effective connection
  • Potential customer identification method based on effective connection
  • Potential customer identification method based on effective connection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Such as figure 1 As shown, a potential customer identification method based on effective connections, including:

[0062] S1100. Obtain user portrait tag information;

[0063] S120. When the user portrait tag information falls within a threshold range, determine a corresponding tag value;

[0064] S130. Identify potential customers according to the user portrait tag information and the tag value.

[0065] Firstly, obtain user portrait label information, including but not limited to consumption ability, consumption status, consumption quality, and promotion sensitivity, and divide consumption ability, consumption status, consumption quality, and promotion sensitivity into income status, consumption amount, and consumption amount of high-end brands. Arrange in descending order with the number of participating activities, select 0-30% to lock in its label value as strong, 31%-70% as medium, and 71%-100% as poor, and then compare the corresponding relationship between con...

Embodiment 2

[0067] Such as figure 2 As shown, a potential customer identification method based on effective connections, including:

[0068] S210. Obtain N part features of the consumption ability label in the user portrait label information, where N is an integer greater than 1, and the user portrait label information also includes a consumption status label, a consumption quality label, and a promotional sensitivity label;

[0069] S220. Determine first weight information according to the N part features, where the first weight information is used to represent the weight ratio of each part feature in the N part features;

[0070] S230. Determine the consumption ability label according to the first weight information.

[0071] S240. When the user portrait tag information falls within a threshold range, determine a corresponding tag value;

[0072] S250. Identify potential customers according to the user portrait tag information and the tag value.

[0073] As can be seen from Example ...

Embodiment 3

[0075] Such as image 3 As shown, a potential customer identification method based on effective connections, including:

[0076] S310. Obtain user portrait tag information;

[0077] S320. Arrange the consumption ability labels in descending order of income status, and determine that the consumption ability label values ​​of 0-30% are strong, 31%-70% are medium, and 71%-100% are poor;

[0078] S330. Arrange the consumption status labels in descending order of the consumption amount, and determine that the consumption status label values ​​of 0-30% are good, 31%-70% are medium, and 71%-100% are poor;

[0079] S340. Arrange the consumer quality labels in descending order according to the consumption amount of high-end brands, and determine that the consumer quality label values ​​of 0-30% are relatively high, 31%-70% are medium, and 71%-100% are relatively low;

[0080] S350. Arrange the promotional sensitivity labels in descending order according to the number of participating...

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Abstract

The invention discloses a potential customer identification method based on effective connection, and the method comprises the steps: obtaining user portrait label information, determining a corresponding label value when the user portrait label information falls into a threshold range, and evaluating the consumption level of a user according to the user portrait label information and the label value. According to the invention, after whether the customer is a potential customer is identified, the purchasing power and preference information of the user can be evaluated, a targeted marketing strategy can be formulated, precise advertisement putting can be carried out, content marketing, activity marketing and community marketing can be carried out, and the activity of the user can be continuously maintained and improved, so that the customer list can be improved by precise marketing, and the sales volume of peripheral products and financial services can be promoted; and through sales condition data and service evaluation, a user portrait model and a sales strategy are fed back and adjusted in time to adapt to market changes.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a potential customer identification method based on an effective connection. Background technique [0002] In the overall profit model of 4S stores under the current market environment, the profit from car sales accounts for about 20%, while the profit from aftermarket services such as maintenance, spare parts and car decoration accounts for 80%. Service is the essence of the service industry. [0003] At present, the sales strategy of 4S stores mainly depends on the popularity of automobile brands, investing heavily in media advertisements to continue dissemination, waiting for customers to come to their door, and automobile-related peripheral products rely on users' car purchase transactions, and forcefully promote binding business, simply pursuing high sales volume and high commission , On the contrary, it ignores the importance of digging deep into the aftermarket, does not ta...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 杨晓辉
Owner 杭州卡欧科技有限公司
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