Algorithmic Analysis and Implementation Strategies For Targeted Advertising on Diverse Social Media Platform

In this paper, we analyze the current state of targeted advertising on various social media platforms using algorithmic analysis and implementing strategies. Social media plays an increasingly important role in modern marketing, especially in the wake of COVID-19, which hastened the transition to online platforms. Drawing on advances in technology, including machine learning and natural language processing (NLP), we demonstrate the value of personalized advertising in increasing user engagement and brand affinity. Drawing on recent research and case studies, we highlight the need to balance targeted advertising with user privacy. In summary, we call for innovation and ethical considerations as we navigate the ever-changing advertising landscape.