The Advanced Use of Artificial Intelligence in Digital Marketing: Transforming Customer Engagement in the Digital Era
Date Issued
August 28, 2025
Author(s)
Abstract
This paper investigates the advanced integration of Artificial Intelligence (AI) technologies into digital marketing practices, emphasizing their impact on customer engagement and return on investment (ROI). It analyzes the strategic deployment of AI tools—such as machine learning, natural language processing, computer vision, and generative AI—across key marketing functions including personalization, content generation, predictive analytics, and programmatic advertising. Drawing on a mixed-methods approach and real-world case studies from leading global organizations, the study highlights how AI enables hyper-personalized, data-driven marketing strategies at scale. The findings demonstrate that AI adoption leads to measurable improvements in conversion rates, customer satisfaction, and operational efficiency. Ethical considerations and regulatory frameworks, including GDPR and the EU AI Act, are also examined. The paper concludes by outlining emerging trends such as multimodal AI, explainable systems, and privacy-preserving marketing, offering evidence-based insights for practitioners aiming to implement responsible, AI-driven marketing ecosystems.
File(s)![Thumbnail Image]()
Name
AI_Digital_Marketing_Final_IEEE_With_Abstract.docx
Size
35.01 KB
Format
Microsoft Word XML
Checksum (MD5)
84dcf35b092e08b33b25c54bf5dbd623