
AI in Digital Marketing
Smarter marketing starts with Maria Johnsen's AI in Digital Marketing book
AI in Digital Marketing book offers global strategies and Maria Johnsen’s time-tested insights.
Artificial intelligence has moved from theoretical to transformational. In marketing, it’s redefining how we understand customer behavior, design campaigns, and drive business growth. That’s why I wrote AI in Digital Marketing to offer a clear, practical, and academically grounded guide to this fast-evolving field.
Published in June 2024 in Virginia by Mercury Learning and Information, under the De Gruyter imprint, one of the oldest names in academic publishing (founded in 1749), this book is my contribution to the growing conversation on AI’s role in marketing. As the author, I aimed to bridge the gap between theory and practice making this book valuable for professionals, students, and educators alike.
Why AI in Digital Marketing Book, Why Now?
Marketers today are being asked to do more with less, make data-driven decisions, and adapt quickly to customer expectations. AI technologies are central to meeting these challenges. From real-time personalization and content generation to predictive analytics and automated decision-making, AI is not just a tool—it’s becoming the foundation of modern digital marketing strategy.
But understanding AI in marketing requires more than knowing which tools exist. It requires a deeper grasp of how AI works, how it’s applied strategically, and what ethical implications come with it.
That’s where AI in Digital Marketing comes in.
What Sets This AI in Digital Marketing Book Apart
This is not just another guide filled with buzzwords. The book includes:
Real-world case studies of AI implementations in marketing
Strategic frameworks for integrating AI into business operations
Critical insights into data governance, bias, and algorithmic ethics
Actionable techniques for marketing professionals, educators, and students
The book is also registered with the Library of Congress, reinforcing its academic integrity and usefulness for course adoption and research.
Ideal for Academic and Professional Use
Whether you’re teaching digital marketing, working in the tech sector, or leading a marketing team, this book offers insights you can apply immediately. It’s particularly relevant for:
University programs in marketing, business, and AI
MBA and executive education courses
Corporate training in digital strategy and analytics
To support educational and organizational use, I’m offering many copies at a special discounted rate for bulk orders. This is ideal for classrooms, faculty libraries, or internal workshops.
I’m Here to Support Your Journey
I understand the importance of evaluating a resource before committing to it. That’s why I’m happy to provide:
A review copy
Complete bibliographic information (including ISBN and Library of Congress number)
Custom pricing options for academic institutions and professional groups
What You’ll Learn
Readers will gain clarity on:
The intersection of marketing strategy and AI tools
How to use data responsibly in customer engagement
Emerging technologies shaping the future of marketing
The evolving role of marketers in an AI-driven ecosystem
Whether you’re preparing students for future careers or rethinking your company’s marketing stack, AI in Digital Marketing book gives you the insights and strategies you need to move forward with confidence. We do.
AI in Digital Marketing Book on Sale Now!
Publishing information
Pages and Images/Illustrations in book
Paperback published on: July 22, 2024
Paperback ISBN: 9781501522543
Front matter: 20
Main content: 550
Price per unit: £150
Tax and shipping are not included in the price.We ship worldwide!
Publicly Available Download PDF fm | i |
v | |
Publicly Available Download PDF Preface | xvii |
Chapter 1: The Role of AI in Digital Marketing | |
Chapter 2: Understanding Artificial Intelligence | 39 |
Chapter 3: Harnessing Data and Analytics in AI Digital Marketing | 53 |
Chapter 4: Machine Learning and Deep Learning Foundation | 67 |
Chapter 5: Natural Language Processing in Digital Marketing | 77 |
Chapter 6: Personalization and Customer Segmentation with AI | 85 |
Chapter 7: Predictive Analytics for Targeted Marketing | 97 |
Chapter 8: Behavioral Analysis and Customer Profiling | 105 |
Chapter 9: Content Creation with Artificial Intelligence | 119 |
Chapter 10: Emotional Search Engine | 127 |
Chapter 11: AI in Search Engines | 147 |
Chapter 12: Enhancing Search Engine Optimization | 169 |
Chapter 13: Social Media Listening and Sentiment Analysis | 231 |
Chapter 14: Chatbots and Conversational AI | 249 |
Chapter 15: Influencer Marketing in the Age of AI | 261 |
Chapter 16: The Latest AI Trends in Digital Marketing | 279 |
Chapter 17: Leveraging AI for Email Marketing Campaigns | 291 |
Chapter 18: Marketing Automation and Workflow Optimization | 305 |
Chapter 19: A/B Testing and Optimization with AI | 321 |
Chapter 20: AI in Multichannel and Omnichannel Marketing | 333 |
Chapter 21: Programmatic Advertising and Real-Time Bidding | 345 |
Chapter 22: Creative Ad Design with AI | 361 |
Chapter 23: Ad Campaign Optimization with Machine Learning | 379 |
Chapter 24: AI-Powered Customer Service and Support | 397 |
Chapter 25: Churn Prediction and Customer Retention Strategies | 415 |
Chapter 26: Cross-Selling and Upselling with AI | 419 |
Chapter 27: Privacy and Data Protection in AI Marketing | 429 |
Chapter 28: Ethical AI Practices and Bias Mitigation | 437 |
Chapter 29: Key Performance Indicators for AI Marketing | 443 |
Chapter 30: ROI and Cost-Benefit Analysis | 451 |
Bibliography | 515 |
Appendix A | 521 |
Appendix B | 523 |
Appendix C | 525 |
Glossary | 527 |
About the Author | 541 |
Index | 543 |
Bibliographic data
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