Manuscript Number : SHISRRJ236156

Enhancing Audience Engagement through Predictive Analytics: AI Models for Improving Content Interactions and Retention

Authors(3) :-Chigozie Emmanuel Benson, Chinelo Harriet Okolo, Olatunji Oke

This paper explores the role of predictive analytics and AI models in enhancing audience engagement, with a focus on improving content interactions and user retention. It highlights how AI-driven personalization, predictive segmentation, and sentiment analysis enable platforms to deliver tailored user experiences. Theoretical concepts such as recommendation systems, natural language processing, and churn prediction models are examined to showcase how AI optimizes engagement strategies. The paper also discusses the benefits of AI models, including increased personalization, higher retention rates, and deeper user insights. Additionally, it addresses technical challenges like data quality and computational costs and ethical considerations such as privacy, algorithmic bias, and regulatory compliance. Recommendations are provided for content creators, marketers, and AI developers to adopt best practices that enhance engagement while ensuring transparency, fairness, and privacy. By leveraging predictive analytics and responsible AI practices, platforms can create more personalized, user-centric, and ethically sound content experiences.

Authors and Affiliations

Chigozie Emmanuel Benson
Aljazeera Media Network - Doha, Qatar
Chinelo Harriet Okolo
University of Central Missouri, Warrensburg, Missouri, USA
Olatunji Oke
Lagos Indicator Magazine, Lagos, Nigeria

Predictive Analytics, Audience Engagement, Personalization, Sentiment Analysis, Churn Prediction, Ethical AI

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Publication Details

Published in : Volume 6 | Issue 4 | July-August 2023
Date of Publication : 2023-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 121-134
Manuscript Number : SHISRRJ236156
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Chigozie Emmanuel Benson, Chinelo Harriet Okolo, Olatunji Oke, "Enhancing Audience Engagement through Predictive Analytics: AI Models for Improving Content Interactions and Retention", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 6, Issue 4, pp.121-134, July-August.2023
URL : https://shisrrj.com/SHISRRJ236156

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