Date of Publication :5th December 2024

Abstract: The implementation of AI-driven personalized marketing techniques, focusing on customer segmentation, targeting accuracy, and engagement optimization has explored in this research. By leveraging machine learning algorithms, including K-means clustering and decision tree classification, the study demonstrates significant improvements in marketing performance metrics such as click-through rates (CTR), conversion rates, and customer satisfaction. The integration of real-time segmentation adaptability is highlighted as a key feature that enables continuous refinement of marketing strategies based on evolving consumer behavior. The research underscores the importance of balancing AI accuracy with ethical considerations in data privacy. The findings contribute to a deeper understanding of how AI can transform personalized marketing, enhancing both customer engagement and business performance.

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