AI in Digital Marketing

I’m thrilled to announce the publication of AI in Digital Marketing, under the esteemed imprint of De Gruyter Inc., a global academic publishing powerhouse based in Berlin. With a legacy dating back to 1749, De Gruyter is celebrated for its high-caliber scholarly works spanning the humanities, social sciences, medicine, natural sciences, and law.  My publisher is Mercury Learning and Information ( founded in 1995) based in  Herndon, Virginia, United States.

In today’s tech-saturated world, AI has revolutionized our interaction with technology and, by extension, digital marketing. My book, AI in Digital Marketing, delves into this transformative technology, blending personal insights, case studies, and practical applications to explore AI’s pivotal role in the field.

The book is meticulously organized into nine parts, each addressing a distinct facet of AI in digital marketing. It begins with an introduction to AI fundamentals, tracing its history and explaining key concepts such as machine learning and deep learning. This foundational knowledge sets the stage for a deeper understanding of AI’s application in data analytics, big data, and the fascinating realm of natural language processing (NLP). Within NLP, we cover sentiment analysis, chatbots, generative AI, web security, and content creation.

A standout feature of the book is its exploration of how AI is revolutionizing customer segmentation and targeting. I discuss strategies for personalization, predictive analytics, and user behavior analysis. The section on content marketing in the AI era examines AI-driven content creation, its advantages and disadvantages, content curation, and SEO, even addressing the potential impact of AI content on website rankings.

Social media marketing is given a comprehensive treatment, offering insights into social media listening, chatbots, and the groundbreaking generative AI from Google—discussed here for the first time in a book. The evolving landscape of influencer marketing is also explored. Further chapters cover email marketing and AI-driven marketing automation, with a focus on personalized email campaigns and workflow optimization. Paid advertising and social media marketing are dissected, with discussions on programmatic ads, ad creatives, and machine learning-driven ad campaign optimization.

We also delve into innovative strategies for PPC ad campaigns, equipping companies to overcome challenges with Google ads.

The book addresses crucial ethical and legal considerations, particularly around privacy and data protection in AI digital marketing, with a focus on European and North American regulations—an aspect often overlooked in other publications.

The concluding chapters offer guidance on measuring AI marketing success, discussing key performance indicators (KPIs), ROI analysis, and future trends in digital marketing. These insights draw on my extensive experience with over 7,000 projects across Europe, North America, and parts of Asia, including South Korea, Japan, China, and India.

What sets this book apart is its practical approach to AI in digital marketing. While others may dwell on theoretical aspects, I provide real-world insights, technical tips, and a balanced view of AI’s pros and cons in digital marketing. My hands-on experience in SEO, PPC, social media, video production, content marketing, content curation, and email marketing informs this work, bridging the gap between theory and practice.

AI in Digital Marketing is not about speculation or fear-mongering. It aims to provide a nuanced understanding of AI’s impact on digital marketing, making it an invaluable resource for marketing professionals, business executives, educators, and students. Through practical examples, case studies, and real-world applications, this book equips readers to navigate the dynamic landscape of digital marketing with confidence and insight.

This book will be distributed worldwide in different languages ! Get your copy