A method for acquiring customers with big data in the automotive industry
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 reduce marketing costs and success. added effect
Active Publication Date: 2022-04-08
芜湖储吉信息技术股份有限公司
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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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[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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The invention discloses a method for acquiring customers based on big data in the automobile industry. Step 1: Collect online behavior data of potential customers; Step 2: Analyze and identify the online behavior data to create data labels for corresponding potential customers; Analyze and process the data tags to generate customer portraits of potential customers; 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 targeted car products; step 5, divide the intention level of the customer's confidence, Divide the purchasing power of the customer into the level of intention, and mark the high-level potential customers; step 6, provide the sales department with a customer portrait analysis report of the potential customers, and list the high-level potential customers in a concentrated manner. The invention establishes data labels for automobile information and directs them to automobile products that meet a certain degree of compliance with customer needs, thereby improving the success rate of marketing and reducing marketing costs.
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...
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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