This book presents a comprehensive and innovative exploration of the role of Artificial Intelligence (AI) in the digital marketing arena. It begins with historical context and fundamental AI principles, and subsequently, details AI's applications across a spectrum of areas, including data analytics, content creation, customer targeting, Search Engine Optimization (SEO), Pay Per Click (PPC) advertising, Social Media Marketing (SMM), and Email Marketing. A distinctive feature lies in the author's extensive real-world experience, providing many useful business applications of AI. The book is designed for marketing professionals, business executives, educators, and students, and offers numerous examples and case studies.
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1: The Role of AI in Digital Marketing
2: Understanding Artificial Intelligence
3: Harnessing Data and Analytics in AI Digital Marketing
4: Machine Learning and Deep Learning Foundation
5: Natural Language Processing in Digital Marketing
6: Personalization and Customer Segmentation with AI
7: Predictive Analytics for Targeted Marketing
8: Behavioral Analysis and Customer Profiling
9: Content Creation with Artificial Intelligence
10: Emotional Search Engine
11: AI in Search Engines
12: Enhancing Search Engine Optimization
13: Social Media Listening and Sentiment Analysis
14: Chatbots and Conversational AI
15: Influencer Marketing in the Age of AI
16: The Latest AI Trends in Digital Marketing
17: Leveraging AI for Email Marketing Campaigns
18: Marketing Automation and Workflow Optimization
19: A/B Testing and Optimization with AI
20: AI in Multichannel and Omnichannel Marketing
21: Programmatic Advertising and Real-Time Bidding
22: Creative Ad Design with AI
23: Ad Campaign Optimization with Machine Learning
24: AI-Powered Customer Service and Support
25: Churn Prediction and Customer Retention Strategies
26: Cross-Selling and Upselling with AI
27: Privacy and Data Protection in AI Marketing
28: Ethical AI Practices and Bias Mitigation
29: Key Performance Indicators for AI Marketing
30: ROI and Cost-Benefit Analysis
31: Dynamic Factors Reshaping the Future of AI in Digital Marketing
Appendices
Glossary
About the Author
Index
2: Understanding Artificial Intelligence
3: Harnessing Data and Analytics in AI Digital Marketing
4: Machine Learning and Deep Learning Foundation
5: Natural Language Processing in Digital Marketing
6: Personalization and Customer Segmentation with AI
7: Predictive Analytics for Targeted Marketing
8: Behavioral Analysis and Customer Profiling
9: Content Creation with Artificial Intelligence
10: Emotional Search Engine
11: AI in Search Engines
12: Enhancing Search Engine Optimization
13: Social Media Listening and Sentiment Analysis
14: Chatbots and Conversational AI
15: Influencer Marketing in the Age of AI
16: The Latest AI Trends in Digital Marketing
17: Leveraging AI for Email Marketing Campaigns
18: Marketing Automation and Workflow Optimization
19: A/B Testing and Optimization with AI
20: AI in Multichannel and Omnichannel Marketing
21: Programmatic Advertising and Real-Time Bidding
22: Creative Ad Design with AI
23: Ad Campaign Optimization with Machine Learning
24: AI-Powered Customer Service and Support
25: Churn Prediction and Customer Retention Strategies
26: Cross-Selling and Upselling with AI
27: Privacy and Data Protection in AI Marketing
28: Ethical AI Practices and Bias Mitigation
29: Key Performance Indicators for AI Marketing
30: ROI and Cost-Benefit Analysis
31: Dynamic Factors Reshaping the Future of AI in Digital Marketing
Appendices
Glossary
About the Author
Index
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Produktdetaljer
ISBN
9781501522543
Publisert
2024-07-22
Utgiver
Vendor
De Gruyter
Vekt
800 gr
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
570
Forfatter