Impact of Ai-driven Personalization on Consumer Purchase Decisions

Abstract

The rapid advancement of artificial intelligence (AI) has revolutionized digital marketing by enabling real-time, data-driven personalization of consumer experiences. This study investigates how algorithmic personalization influences consumer behavior, trust, and purchasing intent through a comprehensive analysis of secondary data from scholarly literature, industry reports, and policy documents spanning 2015 to 2025. The research adopts a descriptive and analytical approach based on the Stimulus–Organism–Response (S–O–R) framework, wherein AI personalization acts as the stimulus, consumer trust and satisfaction function as mediating organismic states, and purchase intention and loyalty represent the behavioral responses. Findings from the synthesis of existing evidence reveal that AI-driven personalization significantly enhances consumer engagement, satisfaction, and purchase likelihood by improving perceived relevance and convenience. However, these benefits are conditional upon the presence of transparency, ethical data use, and consumer control. The study highlights the growing importance of trust as the central mediator linking personalization to purchasing outcomes, noting that excessive or opaque personalization may trigger privacy concerns, perceived manipulation, and resistance. Demographic and psychographic factors—such as age, digital literacy, and privacy orientation—further moderate consumer responses, emphasizing the need for adaptive personalization strategies tailored to user readiness and comfort. The research also underscores the necessity for robust governance mechanisms to ensure responsible AI deployment. Ethical and policy frameworks, including Explainable AI (XAI), algorithmic transparency standards, and consumer consent protocols, are essential for maintaining trust and regulatory compliance. Managerial implications stress the integration of AI personalization as a strategic capability rather than a technical add-on, advocating for cross-functional collaboration between marketers, technologists, and ethicists. On the policy front, the study calls for alignment with India’s Digital Personal Data Protection Act (2023) and NITI Aayog’s Responsible AI initiatives to promote fairness, accountability, and consumer empowerment