AI-Driven Marketing: Transforming Customer Engagement, Personalization, and Strategic Decision-Making in the Digital Era

17 September 2026, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

Artificial intelligence (AI) has transitioned from being a novelty to a ubiquitous phenomenon, fundamentally reshaping approaches to studying and understanding consumers. This paper undertakes a study of how AI-driven marketing changes customers’ experience, engagement, and retention in the modern business environment. The nature of the research problem reflects the fact that businesses and students interested in the topic do not have a comprehensive view of what AI-driven practices do to customers. The purpose of this paper is to evaluate the topic using research details and sources of information. The descriptive analysis uses qualitative research methodology and studies scholarly articles, books, and other sources retrieved from academic databases. The sources analysed were published between 2020 and 2026 and represent the general agreement on the impact of AI on marketing, though earlier works were also considered. The findings describe how modern companies utilise AI to offer more personal experiences to customers, engage through analytics, and make quicker decisions. However, some articles feature ideas and research data on the dangers of personalisation, privacy concerns, and the devaluation of human experience in marketing. The paper finds that the marketing and business research field is converging towards a general understanding that AI should be used as an enhancer of human-made marketing rather than a core priority. It concludes that factors such as data quality, strategic fit, and ethics will define the value of AI to marketers.

Keywords

AI-driven marketing
artificial intelligence
personalization
customer engagement
predictive analytics
generative AI
digital marketing
consumer behaviour.

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