The rapid advancements in Artificial Intelligence (AI) have transformed digital marketing by enabling highly personalized consumer experiences. Personalization leverages AI-powered techniques like machine learning, natural language processing, and recommendation systems to analyze consumer behavior, predict preferences, and deliver targeted marketing content. This paper explores the latest trends in personalization technologies, such as deep learning models for real-time recommendations, generative AI for customized content creation, and predictive analytics for audience segmentation. We propose a novel framework integrating AI techniques like federated learning and explainable AI (XAI) to enhance transparency and user trust in digital marketing personalization. Through an extensive review of recent studies and a comparison of existing methods, we aim to showcase the transformative potential of AI-driven personalization in improving consumer engagement and satisfaction.