Scientific Development Research

The application of big data technology in precision marketing for bank customers has gradually become an important means to improve business efficiency. Based on customer behavior data and financial information, banks can more accurately understand customer needs and then formulate personalized marketing strategies. This study proposes a big data-driven precision marketing model for bank customers, which combines data mining, machine learning algorithms, and data analysis technologies to achieve in-depth insight and accurate prediction of bank customers. By optimizing marketing strategies and enhancing customer experience, banks can achieve higher customer conversion rates and loyalty. This paper also discusses the application scenarios and limitations of existing models, and puts forward corresponding improvement plans.

Big data; Precision marketing; Banks; Customer behavior; Data analysis