Impact of AI on Personalised Targeting in Social Media Advertising

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Sudarshan Muralidharan

Abstract

This paper delves into the impact of artificial intelligence (AI) on personalized targeting within social media advertising. Today's marketers rely heavily on sophisticated algorithms that allow them to tailor content to individual user preferences. The paper investigates how these AI algorithms analyse user data to enhance the delivery and engagement of advertisements. Through an analysis of the advantages and drawbacks of AI-driven personalized targeting, this study aims to foster a deeper comprehension of the present state and future ramifications of technology and advertising on social media platforms. By utilising case studies and data analysis to showcase the efficacy of AI in transforming advertising practices, this research offers valuable insights for marketers, researchers, and policymakers who operate in the dynamic realm of digital media.

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