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September 30, 2025International Journal of Accounting and Economics Studies2 citationsOpen Access

The Influence of AI-Driven Personalization in Social Media Marketing on Consumer Purchase Decisions and Behavior

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WLWang LuJZJing ZhangHLHuixiang Li

Key Points

  • AI personalization significantly influences purchase intention and brand loyalty among consumers.
  • Personalized marketing tactics, including recommendation algorithms and dynamic pricing, enhance customer satisfaction.
  • Behavioral theories and empirical studies ground the analysis of AI impact on consumer purchasing decisions.
  • Ethical concerns like data transparency and privacy are pivotal in shaping consumer trust in personalized marketing.

Abstract

As the digital age took over, artificial intelligence (AI) has turned out to be a powerful tool in revolutionizing marketing practices, especially in social media. AI personalization enables social media and brands to deliver content and ads that are customized and tailored to users' information, interests, and activity. In this research, the role of AI-powered personalization in social media marketing towards influencing consumer buying behavior and activity is researched. Grounded in behavioral theories and contemporary empirical studies, the research analyzes the effectiveness of personalized marketing tactics, such as recommendation algorithms, dynamic pricing, and predictive analytics, to affect customer interaction and conversion. Based on the incorporation of existing literature and case study analysis, results indicate that AI personalization exerts a significant influence on purchase intention, customer satisfaction, brand loyalty, and impulse buying tendency. However, moral considerations such as privacy concerns and data transparency remain critical in influencing consumer trust and long-term loyalty. The study concludes with offering strategic guidelines for marketers to effectively and ethically use AI personalization.

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Cite This Study

Lu et al. (2025) studied this question.

synapsesocial.com/papers/68dc1e308a7d58c25ebb154fhttps://doi.org/10.14419/dcggbj32
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