preface

PART 1: The Rise of AI: A New Paradigm for Marketing
1.
digital transformation
1) The importance of digital transformation
2) The true meaning of digital transformation today
3) Digital Transformation and Customer Journey
2. Definition of AI Marketing
3.
The Importance of AI in Marketing
4. Evolution of AI models
5.
The Evolution of Digital Marketing
1) The importance of data retention
2) Relationship marketing
3) Changes in the target of interaction

PART 2: The A to Z of AI Marketing
1. Setting AI-Based Digital Marketing Goals
1) Use of SMART techniques
2) AI use cases or how to use AI for goal setting
2.
Situational Analysis and AI
1) Tools for situation analysis
2) How AI Changes the Way We Look at Data
3) How anyone can easily read consumers' minds with AI
4) How to derive insights through customer journey analysis
3. AI-powered STP strategy changes
1) Segmentation: The Evolution of AI-Based Market Segmentation
2) Targeting: AI-based target market selection
3) Positioning: AI-based positioning
4) Changed digital STP strategy and limitations
4.
The Evolution of Marketing Mix Strategy: From the 4Ps to the 4Cs and Their Integration with AI
1) From Product to Consumer
2) From Price to Cost
3) From Place to Convenience
4) From Promotion to Communication
5) From promotional mix to IMC
5. Brand Content Strategy Using AI
1) Brand message strategy
2) Creative content strategy using AI
3) AI-powered brand information source (influencer) strategy
4) AI-powered ad creatives - real-time A/B testing
6.
Media mix strategy and advertising purchase execution
1) Media types and the need for integrated media
2) Media buying, audience buying, and programmatic buying
7.
Measuring Digital Marketing Effectiveness
1) Cross-channel interaction analysis platform
2) Customer journey analysis platform
8. Sustainability of AI Marketing
1) The value of DEI
2) Copyright-related issues
3) The importance of FAT
9. The Future of AI Marketing and Considerations
1) The Future of AI Marketing
2) Changes in marketer capabilities

References
Image source
Search

In the AI ​​era, a marketer's competitiveness depends on analytical and execution skills!
AI-powered strategies for marketing practitioners, analyzed by Korea's top experts.

The global marketing landscape is already shifting towards AI.
According to a report by a global market analysis firm, approximately 80% of companies worldwide have adopted AI-based data analytics, and 65% of them believe that AI has improved the speed and accuracy of decision-making. AI is no longer an option; it is a core infrastructure that determines competitiveness.
The question marketers should now ask is not, "Should we adopt AI?" but, "How strategically should we leverage AI?"

"Practical AI Marketing" is a book for all marketers seeking to strengthen their data-driven strategy development and execution capabilities amidst these changes. It presents a strategy for leveraging AI not simply as an automation technology, but as a tool for thinking and a companion for decision-making.
Professor Cho Chang-hwan of Yonsei University, researcher Hong Da-ye, and Team Leader Choi Mose of Daehong Planning—three experts representing academia and industry—collaborated to create Korea's first integrated AI marketing textbook.
Professor Cho Chang-hwan (ranked 4th in the world and 1st in Asia in the field of Internet research), Dr. Hong Da-ye (received research award from the Advertising Society and the Journalism Society), and Team Leader Choi Mose (AI Advertising Strategy Practice Leader at Daehong Planning) have transcended the boundaries between theory and practice to provide practical insights.

This book systematizes the entire AI marketing process from A to Z.
From digital transformation, customer journey analysis, AI model evolution, STP strategy, brand content, advertising execution, and performance measurement—we've comprehensively summarized all key marketing steps from an AI perspective.
Each chapter clearly demonstrates how AI works at each stage of marketing decision-making through theory and real-world examples, and provides strategic guides that working marketers can immediately implement, such as "Reading Consumer Minds with AI," "AI-Based Market Segmentation and Positioning," and "Real-Time Ad Testing."
It bridges the gap between theory and practice by explaining the practical decision-making process step-by-step, from data analysis to insight generation and campaign optimization.

What stands out is its comprehensive coverage of marketing applications of the latest generative AI tools, including ChatGPT, Claude, and Gemini, for 2024-2025, as well as practical examples from major platforms like Naver, Kakao, Meta, and Google. It provides specific guidance on how AI operates in real-world marketing, what data is used to measure performance, and how it translates into strategic insights.

"Practical AI Marketing" goes beyond simply explaining the technology. It offers a new standard for marketing thinking, understanding how AI works and transforming data into strategy. By guiding marketers to use AI as a partner in decision-making, rather than a mere tool, it helps them transcend technological trends and establish strategic leadership.
This book, which transforms data into insights and insights into results, will become the most reliable guide to strategic marketing in the AI ​​era.