Advances in International Computer Science

In the context of the rapid development of digital marketing, personalized AI marketing copy recommendations based on user profiles have become crucial for enhancing marketing effectiveness. This study explores the principles of constructing user profiles and the mechanisms behind personalized AI marketing copy recommendations, examining the factors influencing their effectiveness and methods for evaluation. The findings indicate that the integration of precise user profiles with intelligent recommendation algorithms can significantly enhance the alignment between marketing messages and user behavior, thereby boosting conversion rates. The study proposes strategies to refine recommendation models and optimize data processing, providing theoretical and practical guidance for companies aiming to achieve efficient marketing, thus contributing to the advancement of the digital marketing industry.

User profiles; AI marketing; Personalized recommendations; Marketing effectiveness; Digital marketing