AI and ML in Marketing: Enhancing Consumer Engagement and Personalization

Bhanja, Amit Kumar and Mittal, Arun and Chowdhury, Soummya and Bala Ruby, V and Chaudhry, Manmohan (2025) AI and ML in Marketing: Enhancing Consumer Engagement and Personalization. 2025 International Conference on Computational Engineering, Sensing Technology and Management (ICCETM). pp. 1-6.

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Abstract

Artificial Intelligence (AI) and Machine Learning
(ML) are transforming marketing by enabling highly
personalized consumer engagement and optimized marketing
strategies. This paper explores the integration of AI and ML in
digital marketing to enhance consumer engagement through
data-driven personalization. AI algorithms analyze vast
consumer data, enabling marketers to craft tailored messages,
product recommendations, and interactive experiences that
boost customer satisfaction and brand loyalty. A quantitative
research approach is adopted, focusing on AI-driven
personalization's impact on consumer behavior and marketing
efficacy. The study reveals that AI personalization significantly
improves consumer engagement by delivering relevant content
and offers, resulting in higher retention rates and brand loyalty.
Furthermore, ethical considerations around transparency and
explainability of AI systems are discussed, underlining the need
for responsible AI use in marketing. This work contributes to
the understanding of AI and ML's practical application in
marketing and offers directions for future research on
maximizing technology benefits while addressing emerging
challenges in AI-driven marketing personalization.
Keywords—Artificial Intelligence, Machine Learning, Digital
Marketing, Consumer Engagement, Personalization, Brand
Loyalty, Data Analytics

Item Type: Article
Subjects: Economics > Macroeconomics
Domains: Economics
Depositing User: IR Admin
Date Deposited: 24 Jul 2026 08:25
Last Modified: 06 Sep 2026 18:40
URI: https://ir.vistas.ac.in/id/eprint/21953

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