The impact of artificial intelligence on personalized marketing strategies

Authors

  • Asadbek Allaberganov Tashkent State University of Economics
  • Inomjon Qudratov Tashkent State University of Economics
  • Layung Andiya Prasetyanti Universitas Pendidikan Indonesia

Keywords:

artificial intelligence, personalized marketing, digital marketing, customer analytics, recommender systems, consumer behavior

Abstract

Artificial intelligence (AI) has become one of the most influential forces shaping contemporary marketing practice. This article examines how AI reshapes personalized marketing strategies by enabling firms to interpret customer data more intelligently, anticipate preferences more accurately, and tailor communication across digital touchpoints with far greater speed than traditional approaches. Using a systematic literature review, the study synthesizes recent scholarship on AI-enabled personalization, recommendation systems, predictive analytics, conversational agents, customer experience, and privacy concerns. The review shows that AI can substantially improve targeting precision, content relevance, and customer journey coordination when it is supported by reliable data, transparent governance, and thoughtful human oversight. At the same time, the literature makes clear that personalization is not effective simply because it is automated. Its success depends on whether customers perceive it as useful, respectful, trustworthy, and contextually appropriate. Overall, the article argues that AI is most valuable when it supports relationship-oriented marketing rather than purely mechanical optimization.

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Published

2026-05-07

How to Cite

Asadbek Allaberganov, Inomjon Qudratov, & Layung Andiya Prasetyanti. (2026). The impact of artificial intelligence on personalized marketing strategies . European Journal of Economic Dynamics and Policy, 2(4), 15–26. Retrieved from https://nordascend.com/index.php/ejedp/article/view/26