AI-Driven Personalization and Its Influence on Customer Engagement and Brand Loyalty

  • Unique Paper ID: 192081
  • Volume: 12
  • Issue: 9
  • PageNo: 419-422
  • Abstract:
  • This study looks into how customer engagement and ensuing brand loyalty are affected by personalisation powered by artificial intelligence (AI). The study uses structural equation modelling (SEM) and a quantitative approach with a sample of digital consumers (N=476) to examine the connections between algorithmic personalisation, privacy concerns, engagement, and loyalty. According to the results, perceived personalisation and engagement have a strong positive correlation (r = 0.60), but privacy concerns have a significant moderating effect, supporting the "personalization-privacy paradox." Marketing professionals are advised to prioritise "explainable AI" in order to reduce consumer scepticism.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{192081,
        author = {Manas Srivastava},
        title = {AI-Driven Personalization and Its Influence on Customer Engagement and Brand Loyalty},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {419-422},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192081},
        abstract = {This study looks into how customer engagement and ensuing brand loyalty are affected by personalisation powered by artificial intelligence (AI). The study uses structural equation modelling (SEM) and a quantitative approach with a sample of digital consumers (N=476) to examine the connections between algorithmic personalisation, privacy concerns, engagement, and loyalty. According to the results, perceived personalisation and engagement have a strong positive correlation (r = 0.60), but privacy concerns have a significant moderating effect, supporting the "personalization-privacy paradox." Marketing professionals are advised to prioritise "explainable AI" in order to reduce consumer scepticism.},
        keywords = {Artificial Intelligence (AI), AI-driven personalization, Customer Engagement, Brand Loyalty},
        month = {February},
        }

Cite This Article

Srivastava, M. (2026). AI-Driven Personalization and Its Influence on Customer Engagement and Brand Loyalty. International Journal of Innovative Research in Technology (IJIRT), 12(9), 419–422.

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