AI-Powered Advertising: Exploring Consumer Engagement and Brand Loyalty in the Age of Social Media
Abstract
The intersection of social media advertising and artificial intelligence (AI) has created significant advancements in how brands interact with consumers, offering new possibilities for targeted, personalized, and efficient marketing strategies. This study investigates the role of AI in enhancing the effectiveness of social media advertising and how AI-driven content optimization influences consumer engagement. AI technologies, such as machine learning (ML), natural language processing (NLP), and predictive analytics, have empowered marketers to refine their advertising strategies by providing deeper insights into consumer behavior, automating ad placements, and enabling real-time content adjustments. As a result, brands can achieve greater targeting accuracy, optimize their advertising spend, and improve the overall performance of their campaigns. This research focuses on two key objectives: first, to examine how AI-powered tools enhance the effectiveness of social media advertising by improving targeting, ad spend efficiency, and conversion rates; and second, to explore the impact of AI-driven content optimization on consumer engagement, focusing on how personalized ad content increases consumer interaction with ads, such as likes, shares, comments, and clicks. By leveraging AI technologies, brands can create dynamic, personalized ad experiences that resonate with individual consumers, driving deeper connections and fostering greater brand loyalty
How to Cite
Riddhi Mahesh Kapoor, Monika Chaudhary, "AI-Powered Advertising: Exploring Consumer Engagement and Brand Loyalty in the Age of Social Media", Vol. 3, Issue 12, 28-03-2026, pp. 39-58.
