Jyoti Madan
Management
June 2025
In an increasingly data-driven marketplace, the integration of artificial intelligence (AI) into marketing analytics has emerged as a transformative force in enhancing return on investment (ROI). This paper explores the intersection of AI-driven insights and financial performance, focusing on how advanced analytics tools—such as machine learning algorithms, predictive modeling, and real-time customer data analysis—can optimize marketing strategies and resource allocation. Through a mixed-methods approach combining case studies, industry benchmarks, and quantitative data analysis, the study identifies key drivers where AI enables marketers to forecast campaign effectiveness, personalize customer engagement, and reduce acquisition costs. The research also investigates the evolving role of AI in bridging the traditional gap between marketing activities and financial outcomes, thereby enabling data-backed decision-making for sustainable business growth. Findings reveal that organizations leveraging AI-driven marketing analytics report significantly higher ROI and improved budget efficiency. This study contributes to both academic literature and managerial practice by providing a strategic framework for aligning AI-powered marketing efforts with measurable financial performance indicator
685- 706
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