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Brand Intelligence — Baohong Sun — Springer Nature, 2026

Brand Intelligence: Navigating the Transformation in the AI and Web3 Era

Baohong Sun · Springer Nature, 2026 · 11 Chapters

Every wave of technological disruption redefines the balance of power between brands and consumers. Digital platforms now dominate access to consumers and control the flow of data. At the same time, AI, blockchain, and tokenization are rewriting the logic of value creation. This book provides a strategic framework—Brand Intelligence—that reimagines marketing as an intelligent system of growth: one that learns continuously, adapts autonomously, and co-creates value with users and communities.

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Three Strategic Imperatives

Anchor Disruption in Enduring Logic

Technologies change; the logic of why consumers choose, stay, and advocate does not. Leaders must look beyond tools to the behavioral foundations that remain constant.

Regain User & Data Sovereignty

Brands can no longer depend on third-party platforms for reach, data, and pricing power. They must build direct-to-consumer ecosystems that operate with platform-level intelligence.

Unlock Innovation from Within

Brands possess emotional equity, user proximity, and real-world touchpoints. By activating these assets through data, algorithms, and design thinking, they can lead the next wave.

What’s Inside

The book spans 11 chapters organized around the complete Brand Intelligence architecture. It opens with the forces reshaping marketing—platform economics, consumer decision fragmentation, and the technology progression from connectivity to intelligence to decentralization. The core chapters develop each of the eight foundational modules with analytical depth and detailed case studies from Sephora, KFC China, NIO, Walmart, Tesla, Nike, Starbucks, and others.

The final chapters introduce Brandnetics™—a new discipline bridging theory and practice, strategy and technology, human creativity and machine learning—and explore how Web3, tokenization, and decentralized governance will reshape the brand-customer relationship.

Who This Book Is For

Executives & Strategists
A decision framework for digital transformation, AI integration, and platform strategy. Case studies show how leading companies convert everyday interactions into enterprise intelligence.
Educators & Researchers
A research-grounded textbook with chapter-aligned discussion questions, case studies, and a glossary of 30+ key terms. Suitable for MBA, EMBA, and doctoral programs.
Practitioners & Consultants
Actionable strategies, diagnostic frameworks, and implementation guidance. From the Put-and-Take Method to Generative Engine Optimization to Wallet Relationship Management.

Chapter by Chapter

The book's 11 chapters follow a deliberate progression—from the forces reshaping the brand-customer relationship, through the complete Brand Intelligence architecture, to the frontier of Web3 and participatory value creation.

Chapter 1
Digital Technologies and Marketing Innovation
The technology waves reshaping commerce: connectivity, intelligence, and decentralization. Why each wave demands a different strategic response.
Chapter 2
Platform Enterprises
How platforms capture users, data, and revenue through the Siphon Effect—and why brands must reclaim sovereignty.
Chapter 3
Consumer Decision-Making and Brand Experience
The five-stage User Journey, User Experience design, and the three-dimensional ULTV model: monetary, social, and data value.
Chapter 4
Building Brand Intelligence
The core architecture: eight foundational modules, three technical layers, four information flows, and the Flywheel of Intelligence.
Chapter 5
Online Community
Peer-driven engagement, five categories of community data, UGC ecosystems, and the four brand roles in community management.
Chapter 6
Online Store
The intelligence and revenue core. Five stages of e-commerce evolution, from catalog to autonomous commerce.
Chapter 7
Smart Products and Smart Stores
IoT-enabled touchpoints, the Product-Service-Experience Continuum, and data-powered physical retail.
Chapter 8
Mobile Applications
The mobile app as super touchpoint and super transmitter. Four maturity levels from utility to ecosystem.
Chapter 9
The Command Center and Intelligent Marketing
CDP + ADC architecture, five Command Center functions, hyper-personalization, and the dynamic optimization framework.
Chapter 10
Omni-Domain Marketing and Brandnetics™
The Put-and-Take Method, Generative Engine Optimization, Intelligent Orchestration, and the new discipline of Brandnetics.
Chapter 11
Web3 and Participatory Marketing
Decentralized Brand Ecosystems, Wallet Relationship Management, tokenized incentives, and six Web3 properties reshaping brand governance.

About the Author

Baohong Sun is the Dean's Distinguished Chair Professor of Marketing at Cheung Kong Graduate School of Business (CKGSB), previously Carnegie Bosch Professor at Carnegie Mellon University. A veteran of executive education spanning three continents, she has taught and advised senior leaders in North America, Europe, and Asia on digital transformation, platform strategy, and AI-enabled marketing systems. Her published books include Customer-Centric Marketing: A Pragmatic Framework (MIT Press, 2016) and Brand Digital Intelligence (Renmin University Press, 2024), alongside work in leading academic journals—Journal of Marketing Research, Marketing Science, Management Science, Journal of Consumer Research, MIS Quarterly, and Information Systems Research—reflects a career dedicated to bridging rigorous research with practical application. She has served on editorial boards of JMR, Marketing Science, and Journal of Marketing, and participates in the World Economic Forum's Global Future Councils.

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