Dr. Kavita, Deshmukh and William, Carter and Rana, Al-Saadi (2024) AI-POWERED PREDICTIVE MARKETING SYSTEMS ENHANCING CUSTOMER RETENTION AND REVENUE OPTIMIZATION IN GLOBAL ENTERPRISES. Manuscripts on the Artificial Intelligence and Digital Research, 1 (2). pp. 94-110. ISSN 3064-8807

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Abstract

In today’s hyper-competitive digital economy, enterprises are increasingly leveraging artificial intelligence (AI) to drive personalized engagement, optimize revenue streams, and build long-term customer loyalty. AI-powered predictive marketing systems represent a transformative shift in how businesses analyze vast datasets, anticipate customer behaviors, and deliver hyper-targeted campaigns across global markets. By integrating advanced machine learning models, predictive analytics, and real-time data processing, these systems enable organizations to not only identify retention risks but also implement proactive strategies that enhance customer lifetime value. This article explores the critical role of AI-driven predictive marketing in fostering sustainable growth, with a focus on its impact on customer retention, revenue optimization, and operational efficiency in diverse enterprise contexts. Furthermore, it highlights the technological underpinnings, implementation challenges, and future opportunities that global enterprises must address to fully capitalize on predictive intelligence. Ultimately, the study emphasizes how AI-powered predictive marketing systems can serve as a catalyst for innovation, competitive advantage, and customer-centric business transformation in the global digital marketplace.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	03 Oct 2025 11:41
Last Modified:	03 Oct 2025 11:41
URI:	http://eprints.umsida.ac.id/id/eprint/16403

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