Interest-based targeting in online store operations is mainly achieved through data analysis and user behavior research. First, users need to be segmented to understand their shopping preferences and interests. Secondly, through data analysis tools such as Google Analytics, users’ browsing and purchasing behavior data in online stores are collected to discover users’ interests and preferences. Finally, based on users’ interests and intentions, precise advertising and personalized recommendations are made to attract users to click and buy. By constantly adjusting and optimizing targeting strategies, users’ purchase conversion rates and online store revenues can be improved.