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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50598
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study examines the disruptive nature of Artificial intelligence (AI) in the personalization of digital marketing approaches and its effect in improving consumer response and business outcomes. As AI technologies including machine learning, predictive analytics, and natural language processing spread, marketers can bring an ever-greater level of personalization to the content, offers, and customer experiences based on individual preferences and behaviors in real time. The research design is descriptive and the data is gathered through structured questionnaires addressed to marketing professionals and consumers in order to evaluate the awareness, effectiveness, challenges, and ethical concerns related to the AI-driven personalization. The results indicate that AI greatly enhances the accuracy of targeting, customer satisfaction and efficiency in the process of marketing, and also notes the obstacles which include prohibitive cost of implementation, shortage of skills and privacy concerns. The concept of ethical use of data, transparency turned out to be the important factors affecting consumer acceptability and trust. The study provides empirical data to the emerging field of research about AI in marketing and provides practical suggestions about how businesses can get the best of AI integration without causing any harm. The present paper contributes to the strategic significance of AI in the future of digital marketing and preconditions the additional research on the rising AI technologies and ethical considerations.
KEYWORDS
Publication Date
6/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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