Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kumari, Richa; Singh, Kartikeya Title A name given to the resource AI-Driven Marketing Automation and Hyper-Personalization Strategies for Enhanced Consumer Engagement Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Improving Consumer Engagement in Digital Marketing Through Cognitive AI;pp.153-176 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-3775-3.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-3775-3.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022775051?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022775051?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumari R., Christ University, Bengaluru, India; Singh K., Christ University, Bengaluru, India Description An account of the resource The integration of artificial intelligence (AI) into marketing has revolutionized how businesses engage with consumers, allowing for hyper-personalized interactions and marketing automation. This paper explores the role of AI in driving consumer engagement through targeted strategies that leverage data analytics, machine learning, and predictive modelling. By enabling real-time personalization, AI tools optimize customer experiences, increase engagement, and improve conversion rates. The paper also addresses the challenges associated with data privacy and ethical considerations in AI-driven marketing. The findings suggest that AI-driven marketing can significantly enhance consumer loyalty and business performance when used responsibly and strategically. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833733777-7; 979-833733775-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online