AI in Marketing
eBook - ePub

AI in Marketing

Applications, Insights, and Analysis

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

AI in Marketing

Applications, Insights, and Analysis

About this book

AI in Marketing equips students with the knowledge to understand the impact of Artificial Intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently.

Divided into four parts, it provides a comprehensive exploration of AI's transformative role in marketing. The first part lays the groundwork, offering foundational insights into the intersection of AI and marketing. Part II explores the various applications of AI in marketing, and the tools marketers use to optimize their processes and deliver enhanced customer experiences. The third part focuses on leveraging AI for consumer insights, enabling marketers to craft data-driven strategies. The final part examines ethical considerations and the pedagogical integration of AI into marketing education. Each chapter includes real-world examples, exercises, discussion questions, key terms, and AI resources, empowering students to develop practical skills and industry-relevant knowledge.

Students studying in advanced undergraduate and postgraduate marketing courses will benefit greatly from this comprehensive textbook, preparing them for a future workplace that requires them to know how to use AI effectively, ethically, and responsibly.

The book is fully supported by online resources, including an instructor manual and customizable PowerPoint slides.

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Yes, you can access AI in Marketing by Hannah D. Walters,Rachel M. Hammond in PDF and/or ePUB format, as well as other popular books in Business & Customer Relations. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2025
eBook ISBN
9781040364116

Table of contents

  1. Cover
  2. Endorsements
  3. Half Title
  4. Title
  5. Copyright
  6. Dedication
  7. Contents
  8. List of Contributors
  9. List of Figures
  10. List of Tables
  11. List of Application Exercises
  12. List of Case Studies
  13. Preface
  14. Acknowledgments
  15. Part I: Foundations and Frameworks of AI in Marketing
  16. Part II: AI Tools and Applications in Marketing
  17. Part III: AI-driven Consumer Dynamics
  18. Part IV: Ethics and Education in AI
  19. Index