Innovative Application of Big Data Combined with Machine Learning in Education and Training Product Marketing

Abstract

Education and training (EAT) enterprise C is taken as an example to enable EAT enterprises to choose appropriate marketing strategies according to their own characteristics to improve their competitiveness. The marketing of its EAT products is taken as the research object to analyze its marketing philosophy and marketing behavior. Initially, the marketing environment of EAT products is analyzed from macro aspects such as political environment, economic environment, and internal environment of enterprises and micro aspects such as peer competition, alternative competition, and bargaining power of buyers. Then, the main problems existing in the marketing of EAT products of enterprise C are analyzed through a questionnaire survey. Afterward, the model analyzes the effectiveness of marketing revenue and output of enterprise C. The result shows that 48% of the teachers are dissatisfied with the EAT products of enterprise C, 59% of the students dislike the training courses of enterprise C, and only 11% of the students express their willingness to continue studying the training courses of enterprise C. To solve the above problems, enterprise C can increase investment in EAT products or develop new EAT products to optimize the product marketing strategy. Additionally, it can develop agent channels rationally and adopt multichannel integration to improve the efficiency of channel strategy. Meanwhile, the new media platform can broaden marketing channels to push targeted content to users according to big data analysis results, thereby improving user experience. The marketing model provided here has referencing value as well as important theoretical and practical significance for the development of EAT enterprises.