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Paper ID:IJSREM66882

The Role of Artificial Intelligence (AI) in Modern Marketing A Study on Customer Awareness, Experience, Trust, and Purchase Decisions

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66882

Volume:

10 |

8 |

Aug 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66882

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.

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Authors

NS

NAVEEN S

MASTER OF BUSINESS ADMINISTRATION

VELS INSTITUTE OF TECHNOLOGY & ADVANCED STUDIES (VISTAS)

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DRR

Dr. RAJALAKSHMI R

MASTER OF BUSINESS ADMINISTRATION

VELS INSTITUTE OF TECHNOLOGY & ADVANCED STUDIES (VISTAS)

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Abstract

Artificial Intelligence (AI) in modern marketing has become a significant phenomenon influencing the process of understanding, approaching, and interacting with the customer. This descriptive study aims to discover the role of AI in contemporary marketing by analyzing its impact on customer awareness, customer experience, marketing effectiveness, trust and privacy, and purchase decision. The primary data were gathered from 100 participants who are familiar with AI-driven digital technologies. The five-Point Likert-scaled questionnaire was distributed by means of Google Forms and later analyzed descriptively in accordance with the research objectives using Percentage Analysis, Descriptive Statistics, Chi-Square Analysis, and Pearson Correlation Analysis in SPSS. The results of the study demonstrate that participants had a positive perception of AI application in marketing, reflected in the mean scores varying between 3.76 and 4.26 for all of the five constructs. Additionally, the chi-square test revealed the absence of significant differences between genders, ages, and levels of education in terms of awareness, purchase decision, and trust and privacy, which implies that AI-driven marketing affects all customer groups equally. Finally, there was a statistically significant positive correlation between all of the five constructs, with the strongest relationship existing between customer experience and purchase decision (0.845). Thus, the study concludes that AI is a powerful tool for modern marketing, which should be used responsibly to achieve marketing effectiveness.

KEYWORDS

Artificial Intelligence Digital Marketing Customer Experience Marketing Effectiveness Trust and Privacy Purchase Decision Consumer Behaviour

Cite This Article

NAVEEN S, Dr. RAJALAKSHMI R, "The Role of Artificial Intelligence (AI) in Modern Marketing A Study on Customer Awareness, Experience, Trust, and Purchase Decisions," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-9, Aug 2026. https://doi.org/10.55041/IJSREM66882

Full Article/Conclusion

A conclusion can be made that this research aimed to reveal the role of Artificial Intelligence in customer marketing through the mediation of awareness, experience, effectiveness, trust & privacy, and purchase decision. From the findings, it can be concluded that customers have a positive perception of the role of AI technologies in marketing activities. Most of the participants agreed that artificial intelligence can help in providing recommendation and chatbot services, increasing customization, and improving purchase decision-making. It can be concluded from the study that there is a positive correlation between awareness, experience, effectiveness, and trust & privacy. The study also found that these variables have a combined significant effect on the purchase decision of customers. From the Chi-Square analysis, it can be concluded that there is no significant difference in the perception of participants with different genders, ages, and education levels. Artificial intelligence has become an inevitable aspect of marketing activities, and therefore, organizations can capitalize on their marketing strategies by leveraging these technologies while being ethical with consumer data.

References

●     Vlacic, B., Corbo, L., Costa e Silva, S., & Dabic, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda ●     Paschen, J., Pitt, L., & Kietzmann, J. (2021). Artificial intelligence: Building blocks and an innovation typology ●     Mariani, M. M., Perez-Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review ●     Ngai, E. W. T., & Wu, Y. (2022). Machine learning in marketing: A literature review, conceptual framework, and research agenda ●     Dwivedi, Y. K., et al. (2022). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research ●     Huang, M.-H., & Rust, R. T. (2022). A framework for collaborative artificial intelligence in marketing ●     Verma, S., Sharma, R., Deb, S., & Maitra, D. (2023). Artificial intelligence in marketing: Systematic review and future research direction ●     Mariani, M. M., et al. (2023). Artificial intelligence and customer experience management: A review ●     Bharadiya, J. P. (2024). Artificial intelligence in business: A comprehensive review ●     Bolanos, F., Salatino, A., Osborne, F., & Motta, E. (2024). Artificial intelligence for literature reviews: Opportunities and challenges ●     Prasanna, S., & Kushwaha, A. (2025). Generative AI in marketing: A systematic review ●     Aghaei, M., et al. (2025). Large language models in marketing management: Applications and challenges

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Publication Date

8/21/2026

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Review Rounds: 2

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