Published Paper Details:

In the context of hyper-targeted digital marketing, this research examines scaled personalization, emphasizing data-driven methodologies. Essential methods and tactics the corporation uses to provide highly tailored customer experiences are investigated through an in-depth case study of Amazon. Customer segmentation, predictive analytics, real-time personalization, dynamic content production, cross-channel integration, automation, and AI-powered solutions are all examined in the research. The results demonstrate how these strategies may improve client engagement and loyalty. The ramifications for practitioners include having a customer-centric strategy, spending money on automation and AI technology, and prioritizing privacy and transparency. The study also suggests future research directions, including assessment metrics, cross-cultural personalization, and contextual personalization. The importance of data-driven strategies for highly focused digital marketing and their potential to increase client happiness and loyalty are emphasized throughout this study.