Digital Marketing in the Age of AI-Driven Personalization and Privacy-First Regulation: A Conceptual Review and Framework

Digital marketing has evolved from a supplementary channel of promotion into the dominant mode through which brands identify, reach, and build relationships with consumers. Since early reviews of the field characterized digital marketing primarily as the use of electronic channels – search, email, and display advertising – to connect with customers, the discipline has been reshaped by two largely unanticipated forces: the mainstreaming of artificial intelligence in campaign personalization and targeting, and a parallel, intensifying shift toward privacy-first data practices driven by regulation, platform policy, and consumer expectation. This paper synthesizes the conceptual foundations of digital marketing with current evidence on these two forces to develop an integrated conceptual framework linking digital marketing channels, AI-enabled personalization, consumer engagement and trust, and business outcomes, with privacy regulation and consumer data trust positioned as a critical moderating condition rather than a peripheral compliance concern. Drawing on recent industry and academic evidence, the paper finds that while AI-driven personalization now touches nearly every stage of the marketing funnel and delivers measurable performance gains, its effectiveness is increasingly conditional on brand’s ability to earn and retain consumer trust in an environment of tightening data-privacy constraints. The paper discusses illustrative applications of the framework, outlines managerial implications for structuring digital marketing strategy in this environment, and identifies directions for future empirical research.