Artificial Intelligence (AI) technology is profoundly transforming personalized marketing practices. This study employs a mixed-methods approach to explore the application effects of AI in personalized marketing. The ...Artificial Intelligence (AI) technology is profoundly transforming personalized marketing practices. This study employs a mixed-methods approach to explore the application effects of AI in personalized marketing. The research first outlines the primary forms of AI-driven personalized marketing, including intelligent recommendation systems, dynamic pricing, and personalized content generation. Through analysis across multiple industries, the study summarizes best practices and common pitfalls of AI applications. Results indicate that AI can significantly enhance marketing relevance and timeliness but may also raise concerns about privacy and algorithmic discrimination. The study compares the effectiveness of AI-driven and traditional methods in various marketing scenarios. AI excels in handling large-scale, real-time personalization needs but may be less effective than human intervention in scenarios requiring deep emotional connections. Finally, the study discusses the prospects of ethical AI in personalized marketing, emphasizing the importance of transparency and explainability. This research provides theoretical and practical guidance for enterprises to effectively leverage AI technology to improve personalized marketing effectiveness.展开更多
文摘Artificial Intelligence (AI) technology is profoundly transforming personalized marketing practices. This study employs a mixed-methods approach to explore the application effects of AI in personalized marketing. The research first outlines the primary forms of AI-driven personalized marketing, including intelligent recommendation systems, dynamic pricing, and personalized content generation. Through analysis across multiple industries, the study summarizes best practices and common pitfalls of AI applications. Results indicate that AI can significantly enhance marketing relevance and timeliness but may also raise concerns about privacy and algorithmic discrimination. The study compares the effectiveness of AI-driven and traditional methods in various marketing scenarios. AI excels in handling large-scale, real-time personalization needs but may be less effective than human intervention in scenarios requiring deep emotional connections. Finally, the study discusses the prospects of ethical AI in personalized marketing, emphasizing the importance of transparency and explainability. This research provides theoretical and practical guidance for enterprises to effectively leverage AI technology to improve personalized marketing effectiveness.
