Research on Automobile Marketing Customer Acquisition Technology Based on Data Mining Algorithm

Main Article Content

Fengqin Ke, Huanxue Liu, Quanyu Zhang, Shixing Tang, Hainan Li

Abstract

With the continuous maturity of the automobile market and the increasing degree of competition, how to increase
customer satisfaction and allocate marketing resources reasonably and effectively has become a problem that
every automobile enterprise needs to face. After years of operation, automobile sales enterprises have saved a
large amount of historical data in the operational database. The necessary analysis of these data can reflect
certain laws in the process of automobile sales. The continuous development of Internet, computer and
communication technology in the new era has fundamentally changed the traditional world economic structure. By
using data mining, we can find potentially useful information and knowledge from a large number of actual
business data, and apply these knowledge to the business decision-making process. In this paper, data mining
technology is applied to the field of automobile sales, and a large number of business data in the field of sales are
processed, from which the key data for assisting automobile sales decision-making are extracted, thus providing
help for scientific automobile marketing customer acquisition.

Article Details

How to Cite
Fengqin Ke, Huanxue Liu, Quanyu Zhang, Shixing Tang, Hainan Li. (2021). Research on Automobile Marketing Customer Acquisition Technology Based on Data Mining Algorithm. CONVERTER, 2021(6), 779-785. Retrieved from https://converter-magazine.info/index.php/converter/article/view/449
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