Harnessing Generative AI for Transforming Marketing Strategies: Enhancing Consumer Engagement through Precision and Personalization

Marketing strategies are in the midst of a fundamental change to keep up with changing needs of personalization, interactivity and relevance among consumers. In this paper, propose a generative AI driven framework for inducing customer engagement by producing customized marketing contents in accordance with the historical data of a campaign process. The proposed framework proposes to achieve this by leveraging the Marketing Campaign Performance dataset and use advanced generative models to generate personalized, real-time content in sync with the individual consumer preferences and behavioral patterns. Also, conversational AI is built for instant and context aware responses and recommendations making the user interaction more enriched. Advanced segmentation techniques are used to cluster consumers based on its similar behavior and more targeted marketing strategies are devised to make campaign more effective. The results of experimental efforts show marked improvements on marketing performance metrics such as: 25% increase in click throughs, 30% increase in conversion and total customer engagements increased by 40%. These are the outcomes of the framework’s ability to optimize the delivery of the content with data driven decision making in marketing. The study lays the groundwork for the use of intelligent, adaptive, marketing strategies made possible by generative AI and provides a scalable solution for increasing consumer engagement in competitive digital environments.