Interaction optimization strategy of intelligent robots in social media marketing

This study aims to explore the interactive optimization strategy of intelligent robots in social media marketing and verify its impact on user participation and satisfaction. By integrating consumer behavior theory and information system success model, an interaction optimization model was constructed to study the effect of intelligent robots applying different interaction strategies on social media platforms. The results show that intelligent robots can significantly improve user participation and satisfaction by optimizing interaction strategies. Among them, emotion-based interaction strategies are the most prominent, significantly enhancing users' emotional connections and overall interactive experience. This study provides theoretical support and practical guidance for the application of intelligent robots in social media marketing, reveals the advantages of different interaction strategies and their impact on user behavior, and has high academic value and practical significance.