Potential customer identification method, electronic equipment and storage medium

Abstract

The invention discloses a potential customer identification method, electronic equipment and a storage medium, and the method comprises the steps: obtaining product sales data, and obtaining the datainformation of a customer from a data information platform according to the personal information of the customer; establishing corresponding label data according to the data information of the customer; matching all the user personality labels of each customer with the information of the products purchased by the customer, and taking the matched user personality labels as training samples; establishing an artificial intelligence identification model by adopting a machine learning algorithm according to the user personality label; training the artificial intelligence identification model by using the training sample; and obtaining to-be-identified user label data and inputting the to-be-identified user label data into the artificial intelligence identification model to judge whether the user is a potential customer. The daily data information of the user can be analyzed and processed to obtain the matching relationship between the personalized label of the user and the information of the product purchased by the user, so that the intelligent identification of the potential customer is carried out through the artificial intelligence identification model, and the product dealer is helped to realize precision marketing.

Description

Technical field [0001] The present invention relates to the technical field of potential customer identification, in particular to a potential customer identification method, electronic equipment and storage medium. Background technique [0002] With the development of the economy, cars have spread to many families. However, at present, cars are still high-end consumer goods, and consumers will still think more rationally when buying cars. At the same time, when consumers buy cars, they often have their favorite brands or models. Based on this understanding, car sales can predict in advance whether customers have car purchase plans, car brand and model selection, so as to help car dealers achieve precise marketing, avoid wasting time on some ineffective customers, improve efficiency and save costs , Thereby improving operating efficiency. [0003] However, the prior art only judges whether the user has a need to buy a car based on the data of the car brand and car model that the...

AI Technical Summary

Problems solved by technology

[0003] However, in the prior art, it is only judged whether the user has a car purchase demand based on data such as the car brand and car model that the user has browsed. For example, a method for identifying potential customers in the automotive industry based on tri-training disclosed in patent CN108256052A It only considers the data information related to the user and the car, and there are limitations

Images