A Research Method of Precision Marketing Strategy Based on Clustering Algorithm for Typical Business Scenarios of Electric Power Enterprises

In recent years, precision marketing has been applied in various industries such as retail and banking. With the rapid development of information technology, precision marketing with the help of big data has become a more accurate and effective marketing method, subverting traditional marketing concept. However, due to technical and theoretical limitations, its application in various industries is still in the exploratory stage, with slow progress and few results. As the basic pillar industry of the national economy, the electric power industry has huge volumes and a series of services. Therefore, the application of precision marketing based on big data is the main trend in the future of electric power marketing. This research focuses on the methods of formulating precise marketing strategies for marketing channels under typical business scenarios in the power industry. It Introduced a method of matching between marketing service channels and key customer groups through a clustering algorithm, and based on the matching results, formulating precision marketing service strategies based on typical business scenarios such as business expansion and payment. It can help electric power companies achieve high-quality customer services, and also provide references for the application of precision marketing based on big data in other industries.