AI Fission cover

AI Fission

Rating 2.5
Word count
108K words
Chapters
58
ISBN
9787520837583

Tags

Summary

This book provides companies with a complete and practical AI marketing guide to help them open new paths for marketing growth in the digital era. First, the book outlines the background and current state of marketing system transformation, explores in depth the impact of AI on the transformation of Marketing 5.0, and analyzes the opportunities and challenges of AI marketing.

Second, the book emphasizes the mindset shift and preparation for change in AI marketing, including building AI marketing awareness and culture, setting and aligning strategic goals for the corporate marketing system, reshaping organization and talent, and building AI marketing digital middle platforms and tools. These are the prerequisites for implementing AI marketing.

The book presents a closed-loop management system for AI marketing and breaks down in detail implementation strategies in areas such as user demand insight, user profiling, brand promotion, channel strategy, content marketing, and private domain operations, providing companies with detailed step-by-step guidance to build an AI marketing strategy system and identify specific practical scenarios for implementation.

In addition, the book provides an in-depth analysis of common risks companies face in AI marketing, including intellectual property risk, user privacy risk, content compliance risk, product safety risk, and user experience risk, and proposes actionable risk response strategies.

Finally, the book presents the current state and cases of AI marketing in typical industries such as fast-moving consumer goods, e-commerce, finance, and automotive, providing companies with references for AI marketing implementation.

Editor's review

This book pulls AI marketing back from the conceptual level into an operational management system for companies. Its value lies in not stopping at listing tools but first explaining the transformation logic of Marketing 5.0 and then discussing implementation prerequisites such as organization, talent, and digital middle platforms. The highlight is the closed-loop management approach: it breaks down user insight, profiling, brand promotion, channels, content, and private domain operations item by item and pairs them with cases from fast-moving consumer goods, e-commerce, finance, automotive, and other industries, allowing readers to see how strategies correspond to scenarios. The risk chapter covers intellectual property, privacy, content compliance, and other issues that companies often overlook but must address when actually advancing AI marketing. It is suitable as a reference framework for marketing leaders formulating annual plans and for chapter-by-chapter comparison during internal transformation discussions. There is no need to rush through it; the key is to match the book's steps with the company's resource conditions rather than copying cases directly.

Who it's for

A good fit for

  • Corporate marketing leaders who need to systematically plan AI marketing implementation paths
  • Managers of small and medium-sized enterprises undergoing digital transformation seeking actionable entry points
  • Marketing consulting and advertising professionals who want to understand how AI reshapes marketing systems
  • Operations staff interested in AI marketing but lacking systematic understanding

Not a good fit for

  • Purely technical readers who only want to learn AI tool operations; the book takes a management perspective
  • Beginner readers without marketing practice; some strategies require business experience to understand
  • Readers expecting ready-to-use software tutorials; the book does not provide specific tool operation steps

Reading tips

  1. Read the transformation background and risk chapters first to establish an overall judgment of the boundaries and prerequisites of AI marketing
  2. Select and read in depth the cases corresponding to your own industry, and consult other chapters as needed
  3. After finishing each strategy module, write on one page the current situation and gaps of your company
  4. Organize a small-group discussion and turn the closed-loop steps in the book into an executable checklist for the next quarter

About the publisher

China Commercial Publishing House China · Founded in 1980

Founded in 1980, China Commercial Publishing House focuses on books in economic management and commerce and circulation, while also covering inspirational growth, biography and foreign literature. Representative titles available in the database include The Old Man and the Sea, The Family Letters of Zeng Guofan, The Nightingale and the Rose, How to Stop Worrying and Start Living and A Message to Garcia, as well as practical finance and management works such as Chen Boxian's Lectures on Family Trusts, Corporate Layoffs, Job Transfers and Dismissals: Scheme Design and Risk Prevention, and A Complete Practical Guide to Corporate Incentive Mechanism Design. Its authors range from foreign masters such as Ernest Hemingway, Oscar Wilde and Dale Carnegie to An Ran, Zhang Chi, Fang Ming, Chen Boxian and Ye Mao. Given limited public information, its publishing profile is best seen in a diverse mix of classics and inspirational reading alongside practical finance and management titles.

Contents

  1. 版权信息
  2. 前言
  3. 第一章 AI营销体系概述
  4. 第一节 企业营销体系的含义及价值
  5. 第二节 企业营销体系发展历程及趋势
  6. 第三节 AI对营销体系5.0的变革影响
  7. 第四节 AI营销的机遇与挑战
  8. 第二章 AI营销思维转型力及变革准备
  9. 第一节 AI营销认知及文化打造
  10. 第二节 企业营销体系现状分析
  11. 第三节 AI营销体系战略目标制定及对齐
  12. 第四节 AI营销组织与人才重塑
  13. 第五节 AI营销数字中台及工具打造
  14. 第三章 AI与需求洞察
  15. 第一节 市场需求分类
  16. 第二节 用户旅程及行为分析
  17. 第三节 实时沉浸式交互体验及分析
  18. 第四节 基于需求预测的产品改进
  19. 第五节 价格动态调整
  20. 第四章 AI与用户画像
  21. 第一节 用户画像的含义及作用
  22. 第二节 用户智能标签打造
  23. 第三节 用户分层与AI精准锚定
  24. 第四节 用户生命周期营销管理
  25. 第五章 AI与品牌宣传
  26. 第一节 精准广告投放
  27. 第二节 用AI进行广告投放效果检测与评估
  28. 第三节 用AI进行品牌美誉度管理
  29. 第六章 AI与渠道策略
  30. 第一节 运用AI手段实现用户流量的获取
  31. 第二节 AI营销渠道优化及精准触达
  32. 第三节 AI客服售前对话营销
  33. 第七章 AI与内容营销
  34. 第一节 内容营销的定义及作用
  35. 第二节 产品、品牌优质内容打造
  36. 第三节 内容营销策略构建
  37. 第四节 内容营销评估及优化
  38. 第八章 AI与私域运营
  39. 第一节 私域裂变的含义及模式
  40. 第二节 AI裂变矩阵策略搭建
  41. 第三节 私域运营的含义及模式
  42. 第四节 AI私域运营策略搭建
  43. 第九章 AI与风险管理
  44. 第一节 知识产权风险应对
  45. 第二节 用户隐私风险应对
  46. 第三节 内容合规风险应对
  47. 第四节 产品安全风险应对
  48. 第五节 用户体验风险应对
  49. 第十章 AI营销闭环管理
  50. 第一节 AI五大营销策略闭环管理
  51. 第二节 搭建AARRR增长运营体系
  52. 第三节 AI营销自动化
  53. 第十一章 AI营销行业案例
  54. 第一节 快消行业AI营销案例展示
  55. 第二节 电商行业AI营销案例展示
  56. 第三节 金融行业AI营销案例展示
  57. 第四节 汽车行业AI营销案例展示
  58. 附录 水藏玺作品集

FAQ

Is this book suitable for people with no AI background at all?
It can be read, but some marketing business experience is needed. The book starts with the transformation of marketing systems and takes a management perspective, without covering technical principles or tool operations. If you have no marketing practice at all, it is advisable to understand basic marketing frameworks before reading; otherwise, your understanding of the strategy sections will remain superficial.
Can the industry cases in the book be directly applied to one's own company?
Direct application is not recommended. The cases cover typical industries such as fast-moving consumer goods, e-commerce, finance, and automotive, and serve as references for thinking. Companies differ greatly in resources, organization, and compliance conditions, so adaptations should be made based on the book's steps, focusing on the decision-making logic in the cases rather than specific practices.
Is the risk chapter worth reading first?
Yes. Risks such as intellectual property, user privacy, and content compliance are often underestimated in advancing AI marketing. Reading this chapter in advance helps set boundaries when formulating plans and avoids rework later. Especially for companies in heavily regulated industries, this content can serve as a starting point for internal compliance discussions.

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About the author

水藏玺 Author

Shui Zangxi is an author whose work focuses mainly on management writing. Five of his books are currently held in the collection: Reengineering Integrated Marketing Business Processes, Cross-Border E-Commerce in One Book, Tax and Financial Planning in One Book, Employee Motivation in One Book, and AI Fission. These titles center on corporate management and practical operations, covering topics such as marketing processes, cross-border business, tax and financial planning, employee motivation, and the business changes brought about by artificial intelligence; they are classified under management. Because public information is limited, his nationality, dates of birth and death, educational background, and professional experience are unknown, and no English name has been recorded. Judging from the existing works, Shui Zangxi's writing leans toward the practical and the instrumental, aimed at Chinese-language readers who wish to understand business processes and management methods. Each book tends to focus on a specific management field and has the character of a general, hands-on guide in the "in one book" style, while also paying attention to the impact of new technologies on business practice.

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