How to Optimize User Conversion Rates and Revenue Growth with AI Models
DOI:
https://doi.org/10.71222/yjs2ys62Keywords:
AI model, user conversion rate, income growth, personalized recommendationAbstract
With the rapid progress of Intelligent Technology (AI), many companies have introduced AI models to promote user conversion and income growth. AI can effectively mine potential users by analyzing massive user information and create personalized services or product recommendations according to different user categories, thus significantly improving the user conversion rate. In addition, the AI model also promotes income growth through dynamic pricing, personalized incentives and other means to achieve a better return on investment (ROI). This paper aims to discuss the key role of AI in improving user conversion rate and revenue growth, and analyzes the specific application of strategies such as precise customer positioning, dynamic pricing, and personalized incentives in detail. It also evaluates the effectiveness from multiple dimensions such as user behavior patterns, revenue growth, and customer loyalty, with the purpose of sharing the practical experience of enterprises on how to optimize business strategies using AI algorithms.
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