Impact of Brand Marketing Strategies Based on Consumer Purchase Intention Mining

Abstract

Brand marketing strategy refers to the enterprise in order to improve the brand image, popularity and reputation, and attract the target market and consumers. With the development of technology, enterprises began to explore how to use emerging technologies to enhance brand value and enhance consumers' willingness to buy. The combination of computer aided design (CAD) and virtual reality (VR) technology provides new opportunities for enterprises. In order to explore the influence of brand marketing strategy of CAD products based on VR on consumers' purchase intention, this article puts forward a prediction model of consumers' purchase intention based on user data mining (DM). By comparing the F1 value of this algorithm and ID3 algorithm in the task of predicting consumers' purchase intention, it is found that this algorithm has higher F1 value and stability. This proves the effectiveness and superiority of the consumer purchase intention prediction model based on user DM. By building a prediction model of consumers' purchase intention based on user DM, enterprises can predict consumers' purchase intention more accurately, so as to formulate more accurate brand marketing strategies and improve market share and brand value.