Johnsen M. AI In Digital Marketing

Boston, Massachusetts: Mercury Learning and Information, 2024. — 619 p. — ISBN: 978-1-50152-254-3.Today, the omnipresence of artificial intelligence has undeniably reshaped our interaction with technology and the world at large. “AI in Digital Marketing” offers a comprehensive exploration of this transformative force, infused with personal insights, case studies, and practical applications. This book takes readers on a journey through the role of AI in digital marketing, from foundational concepts to cutting-edge applications in digital marketing processes. Each chapter is dedicated to a specific facet of the integration of AI into the landscape of digital marketing. It begins with an introduction to a historical overview of digital marketing and the fundamental principles of AI, providing historical context and explaining various categories,including machine learning and deep learning. This foundational knowledge serves as a springboard for deeper insights into AI’s role in data analytics, the utilization of big data, and the marvel of natural language processing (NLP). The NLP section explores sentiment analysis, chatbots, generative AI, Web security, and content generation.The Role of AI in Digital Marketing.
Understanding Artificial Intelligence.
Harnessing Data and Analytics in AI Digital Marketing.
Leveraging Data and Analytics for Marketing Success.
The Power of Analytics in Digital Marketing.
Predictive Analytics.
Customer Segmentation.
Content Personalization.
Natural Language Processing.
Chatbots and Virtual Assistants.
Ad Campaign Optimization.
Email Marketing.
Voice Search Optimization.
Data Privacy and Ethics.
Data Quality.
Talent Gap.
Cost.
A Comprehensive Analysis of AI Analytics Tools.
Advantages and Limitations of AI Analytics Tools.Machine Learning and Deep Learning Foundation.
The Fundamental Tenets of Machine Learning and Deep.
Learning.
Fundamental Distinctions Between Machine Learning and.
Deep Learning.
Real-World Applications.
Integrating Machine Learning and Deep Learning.
Into AI Marketing Tools.Natural Language Processing in Digital Marketing.
Personalization and Customer Segmentation with AI.
Predictive Analytics for Targeted Marketing.
Behavioral Analysis and Customer Profiling.
Content Creation with Artificial Intelligence.
Emotional Search Engine.
Emotional Search Engine.
AI in Search Engines.
Enhancing Search Engine Optimization.
Social Media Listening and Sentiment Analysis.
Influencer Marketing in the Age of AI.
The Latest AI Trends in Digital Marketing.
Leveraging AI for Email Marketing Campaigns.
Marketing Automation and Workflow Optimization.
A/B Testing and Optimization with AI.
AI in Multichannel and Omnichannel Marketing.
Programmatic Advertising and Real-Time Bidding.
Creative Ad Design with AI.
Ad Campaign Optimization with Machine Learning.
AI-Powered Customer Service and Support.
Churn Prediction and Customer Retention.
Cross-Selling and Upselling with AI.
Privacy and Data Protection in AI Marketing.
Ethical AI Practices and Bias Mitigation.
Key Performance Indicators for AI Marketing.
ROI and Cost-Benefit Analysis.
Dynamic.