摘要：In the digital marketing transformation era, this research focuses on social media data mining and its application in precision marketing strategies for enterprises. It begins with an exploration of the research background and significance, followed by a comprehensive literature review of social media and digital marketing, data mining techniques, and precision marketing theories. The study then delves into the process of social media data mining, covering data sources and collection, cleaning and preprocessing, as well as various analysis and mining models. Based on the mined data, precision marketing strategies such as customer segmentation and targeting, marketing message customization, and marketing channel selection and optimization are discussed. Through case studies of Company A and Company B, practical experiences and lessons are presented. Challenges in technical, data-related, ethical, and legal aspects are identified, and corresponding solutions are proposed. The research concludes with a summary of findings, implications for enterprises, and suggestions for future research
directions, aiming to provide valuable insights and guidance for enterprises to enhance their digital marketing effectiveness and competitiveness.