THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZING DIGITAL MARKETING AND CUSTOMER EXPERIENCE

Authors

  • Siti Nurhayati Universitas Muhammadiyah Kupang
  • Yenni Kurnia Gusti STIE Widya Wiwaha
  • Tri Apriyono Institut Jambatan Bulan Timika

DOI:

https://doi.org/10.31539/kbcdv620

Keywords:

Artificial Intelligence, Digital Marketing, Personalization, Customer Experience, Predictive Analytics.

Abstract

This study aims to examine the role of Artificial Intelligence (AI) in personalizing digital marketing and enhancing customer experience through a literature review approach. The research employs a qualitative method by analyzing various academic journals, books, and scholarly publications related to AI technologies, digital marketing strategies, and customer experience management. The findings indicate that AI plays a significant role in improving marketing personalization through technologies such as machine learning, predictive analytics, recommendation systems, and natural language processing. These technologies enable organizations to analyze customer behavior, predict preferences, and deliver personalized content and services in real time. The study also reveals that AI enhances customer experience by improving responsiveness, efficiency, and customer engagement across multiple digital platforms. However, the implementation of AI also presents several challenges, including data privacy concerns, ethical issues, algorithmic bias, and organizational readiness. Therefore, businesses must adopt responsible AI governance and balance technological innovation with customer trust and data protection. Overall, this research concludes that AI has transformed digital marketing practices and customer experience management by enabling more customer-centered and data-driven business strategies in the digital era.

References

Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.

Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38–68.

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications.

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Galanos, V. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges and opportunities. International Journal of Information Management, 57, 101994.

Huang, M. H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30–41.

Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55.

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96.

Machi, L. A., & McEvoy, B. T. (2016). The Literature Review: Six Steps to Success (3rd ed.). Corwin Press.

Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155.

McCracken, G. (1988). The Long Interview. Sage Publications.

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative Data Analysis: A Methods Sourcebook (3rd ed.). Sage Publications.

Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41.

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Published

2026-05-15