Artificial Intelligence for Marketing Strategies
eBook - ePub

Artificial Intelligence for Marketing Strategies

Real-Life Applications and Case Studies

  1. 252 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Marketing Strategies

Real-Life Applications and Case Studies

About this book

This book introduces emerging artificial intelligence (AI) technologies and their potential to reshape the marketing landscape, offering a forward-looking perspective on the future of marketing strategies. It leverages AI for enhanced customer engagement, brand building, and business excellence. From understanding customer behaviour in the AI era to strategically integrating AI-driven technologies, Artificial Intelligence for Marketing Strategies: Real-Life Applications and Case Studies provides actionable insights and practical tools for predictive market insights, data-driven decisions, and innovative customer engagement.

Features

  • Insights into how AI redefines customer behaviour analysis and enhances data-driven strategies
  • Practical guidance on embedding AI tools like predictive analytics and machine learning into marketing workflows
  • Detailed analysis of how chatbots and conversational AI elevate customer experiences and strengthen brand positioning
  • Predictive analytics discussions for forecasting market trends and achieving business goals
  • Real-world examples showcasing the practical applications and outcomes of AI-driven marketing initiatives

This book is for professionals, scholars, and decision-makers looking to navigate the transformative potential of AI in the modern marketing landscape.

Information

Publisher
Chapman and Hall/CRC
Year
2026
Print ISBN
9781041034179
Edition
1
eBook ISBN
9781040623206
Topic
Computer Science
Subtopic
Business Strategy
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Foreword
  8. About the Editors
  9. List of Contributors
  10. Chapter 1 The Role of AI in Marketing
  11. Chapter 2 Human–AI Interaction in Marketing
  12. Chapter 3 Human–AI Collaboration in Marketing
  13. Chapter 4 Strategies for AI-Powered Influencer Marketing in the Era of Industry 6.0
  14. Chapter 5 Nudging the Digital Cart: Role of AI in Shaping E-Grocery Choices
  15. Chapter 6 Exploring Consumer Behavior in Online Shopping: A Bibliometric and Framework-Based Systematic Review of Artificial Intelligence, Augmented Reality, Virtual Reality and Chatbots Using the TCM–ADO Framework
  16. Chapter 7 Analyzing the Influence of AI on Customer Behavior in the Digital Era
  17. Chapter 8 Artificial Intelligence Meets Entrepreneurship: Navigating Marketing Personalization
  18. Chapter 9 Key Performance Indicators (KPIs) for AI Marketing
  19. Chapter 10 Ethics and Privacy in AI Marketing: Navigating Innovation with Responsibility
  20. Chapter 11 Experiential AI in Customer Experience Management: A Framework for Immersive, Co-Creative, and Ethical Customer Engagement
  21. Chapter 12 Enhancing Marketing with AI: Cutting-Edge Tactics for Future Consumer Engagement
  22. Chapter 13 Case Studies: Demonstrating AI-Powered Marketing Tactics
  23. Chapter 14 Personalization at Scale to Enhance Customer Experience: A Case Study of Amazon
  24. Chapter 15 Conclusion: Future of AI in Marketing
  25. Index

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Yes, you can access Artificial Intelligence for Marketing Strategies by Shruti Choudhary,Hemchandran K,Devendran Alagarsamy,Imed Saad Ben Dhaou,Thomas Musiolik,Sharuti Choudhary,Hemchandran Kannan,Thomas Heinrich Musiolik,Hemachandran Kannan in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Strategy. We have over 1.5 million books available in our catalogue for you to explore.