Automobile industry big data customer obtaining method

A big data, automobile technology, applied in market data collection, marketing, buying and selling/lease transactions, etc., can solve the problems of reducing marketing effect, spending a lot of costs for marketers, unable to sell car types, etc., to increase the probability of success and reduce marketing cost effect

Active Publication Date: 2019-10-15
芜湖储吉信息技术股份有限公司
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for acquiring customers based on big data in the automobile industry, so as to solve the problem that in the prior art, it is impossible to specifically analyze the needs of customers for cars to the extent that potential customers pay attention to the characteristics of various aspects of the car, and it is impossible to sell customers in a targeted manner. Corresponding car types, which reduces the marketing effect, and marketers have to spend a lot of money

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  • Automobile industry big data customer obtaining method

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Embodiment Construction

[0026] The specific embodiments of the present invention will be further described in detail by describing the embodiments below with reference to the accompanying drawings, so as to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention.

[0027] The present invention provides the described method for acquiring customers with big data in the automobile industry, comprising the following steps:

[0028] Step 1. Collect the online behavior data of potential customers;

[0029] Step 2: Analyze and identify online behavior data and create data labels for corresponding potential customers;

[0030] Step 3: Analyze and process the data labels of potential customers to generate customer portraits of potential customers;

[0031] Step 4. Divide the customer's behavioral demand type and the purchasing power range of the car according to the customer portrait, and direct to the ...

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Abstract

The invention discloses an automobile industry big data customer obtaining method. The method comprises the steps of 1, collecting online behavior data of potential customers; 2, analyzing and identifying the online behavior data to create data labels of corresponding potential customers; 3, analyzing and processing the data labels of the potential customers to generate customer portraits of the potential customers; 4, according to the customer portrait, dividing behavior demand types of customers and purchasing power intervals for the automobile, and orientating to a directional automobile product; 5, intention levels are divided for the confidence of the clients, intention levels are divided for the purchasing power of the clients, and high-level potential clients are marked; and 6, providing a customer portrait analysis report of the potential customers for a sales department, and intensively listing the high-level potential customers. According to the method, the data label is established for the information of the automobile to be oriented to the oriented automobile product which meets the requirements of customers to a certain degree, the marketing success rate is increased,and the marketing cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of big data applications, and in particular relates to a method for acquiring customers with big data in the automobile industry. Background technique [0002] Traditional automobile marketing methods have various defects that affect marketing effects and marketing costs. For example, although offline media advertisements have a wide range of influence, they are costly and the conversion rate of potential customers cannot be controlled. Showrooms and auto shows have a smaller influence range than offline media, and the average conversion cost of potential customers is higher. Old customer introductions have the smallest influence range and lower conversion efficiency. Vertical network clues have high overlap in finding potential customers, and the quality of customers is low. The reality is that there is a lack of customer acquisition methods tailored to customer needs between applicable customers of existin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0201
Inventor 徐彬李镇
Owner 芜湖储吉信息技术股份有限公司
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