Digital Marketing in the Era of Artificial Intelligence and Big Data
Abstract
Digital Marketing in the Era of Artificial Intelligence and Big Data explores how emerging technologies are transforming the marketing landscape in the 21st century. The book provides a comprehensive understanding of how Artificial Intelligence (AI), machine learning, data analytics, and automation are reshaping customer engagement, strategic decision-making, and competitive advantage in digital markets. The authors examine the evolution of digital marketing from traditional online promotion to intelligent, data-driven ecosystems. Key themes include predictive analytics, personalization strategies, customer behavior modeling, programmatic advertising, chatbots, sentiment analysis, and the role of big data in crafting highly targeted campaigns. The book also highlights how organizations can leverage AI-powered tools to enhance customer experience, optimize conversion rates, and improve return on investment (ROI). Blending theoretical foundations with practical insights, the text presents real-world examples, case studies, and frameworks that help readers understand both opportunities and challenges associated with AI integration. Ethical considerations, data privacy concerns, and regulatory implications are also discussed, ensuring a balanced and responsible approach to technology adoption. Designed for students, researchers, academicians, and marketing professionals, this book serves as both a foundational guide and a strategic roadmap. It equips readers with the analytical mindset and technological awareness required to thrive in an increasingly automated and data-centric business environment. Overall, the book demonstrates that the future of marketing lies at the intersection of creativity, technology, and intelligent data utilization.
Fields of Study & Subjects
Digital Marketing and Social Media
AI in Service Interactions
Digital Innovation in Industries
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 24 February 2026
- Language
- EN
- Document type
- Book