Enhancing audience engagement through ai-powered social media automation
New Jersey Institute of Technology, Software Engineer, 6060, ViIllage Bend Dr, Dallas, TX, Dallas.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 11(02), 150–157.
Article DOI: 10.30574/wjaets.2024.11.2.0084
Publication history:
Received on 01 February 2024; revised on 06 March 2024; accepted on 09 March 2024
Abstract:
Enhancing Audience Engagement using AI-Powered Social Media Automation is a significant part of modern marketing techniques. This research addresses the application of artificial intelligence (AI) to automate social media interactions to boost audience engagement. The study dives into numerous AI approaches and algorithms applied in social media automation and assesses their success in enhancing audience participation, brand exposure, and customer happiness. The research explores the influence of AI-powered automation on multiple social media platforms. It assesses its potential to boost audience engagement metrics such as likes, shares, comments, and click-through rates. The study identifies critical elements driving audience engagement through detailed analysis and modeling and suggests techniques for enhancing AI-powered social media automation processes. The results add to excellent knowledge of how AI technology may be exploited to generate more meaningful interactions with online audiences, eventually boosting corporate development and consumer loyalty in the digital age.
Keywords:
Audience Engagement; AI-Powered Automation; Social Media; Marketing Strategy; Customer Interaction; Brand Visibility
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0