Categories
China Marketing

A New Marketing Paradigm in China: Why Global Brands Must Embrace Rednote

Amid a global wave of digital transformation, China’s consumer landscape is undergoing a profound shift in consumption logic. For international brands, understanding the evolving behaviors of Chinese consumers—especially the core role of content-driven social platforms in purchase decisions—has become critical to market entry. As China’s leading lifestyle-sharing platform, rednote is redefining the brand-consumer connection through its ecosystem of 300 million monthly active users, a comprehensive content matrix covering all lifestyle scenarios, and a deep decision-making path anchored in “search + browse.” More than just a “shopping guide” for young people, rednote has become a must-win platform for localized marketing success in China.

 

01 China’s Market Has Entered the Era of Content-Driven Consumption

As Gen Z becomes the dominant consumer force, China’s marketing logic is shifting from brand monologues to active user participation. Reflecting on the evolution of marketing: the 1.0 era was characterized by one-way brand advertising (e.g., TVCs, key visuals), the 2.0 era moved toward branded IP placements (e.g., integrations in film and TV), the 3.0 era leveraged social media virality (e.g., trending topics on Weibo, KOL reviews), and today’s 4.0 era is defined by native content marketing, led by platforms like rednote, where user-generated notes, reviews, and lifestyle posts foster deep brand-consumer engagement.

The marketing transformation of electric bike brand Yadea is particularly illustrative. By shifting away from traditional hard-sell advertising, Yadea launched a “100-Person Test Ride Challenge” on rednote, inviting users from various professions and age groups to share their riding experiences. Integrating product performance into everyday contexts like city commuting and weekend outings, the brand effectively transitioned from a “brand-centered” to a “consumer-centered” narrative, boosting content conversion and driving purchase decisions through native content.

 

02 Rednote Has Become a “Lifestyle Companion” and “Shopping Guide” for Users

Within rednote’s ecosystem of 300 million monthly active users, a complete loop of “search – browse – share” is established. Users turn to the platform for makeup tutorials, travel tips, and home decor ideas, and also contribute by posting their own content. The platform spans 29 primary categories and 107 subcategories, ranging from beauty and fashion to tech, parenting, wellness, and professional advice, meeting virtually all pre-purchase information needs.

Take the wellness brand Swisse, for example. When users share “Health Checklists for Your 20s” on rednote, they often compare the ingredients, flavor, and user experience of different products. Such authentic content drives conversions more effectively than traditional high-exposure advertising. Similarly, a national tourism board successfully drove a surge in search volume by promoting a mix of KOL and everyday user travel journals—blending scenic visuals with detailed guides. rednote has become the go-to platform for consumers in China: “Search for answers, share your experiences.”

 

03 Rednote Covers the Full Lifestyle Spectrum for Young Consumers, Offering Practical and Professional Guidance

Rednote’s influence on purchasing intent is clearly measurable: 81% of users report developing purchase intent after browsing product or service-related content on the platform. The top five user scenarios revolve around “discovery”:

  • 40% search for specific products or topics
  • 40% browse peer reviews out of interest
  • 36% explore trends
  • 33% seek inspiration
  • 30% discover products through others’ shared posts

This comprehensive influence from initial exploration to final conversion creates a highly effective and lasting marketing environment. Compared to entertainment-driven platforms that focus on impulse buys, rednote more precisely and sustainably influences consumer decisions.

Rednote’s unique strength lies in the combination of comprehensive lifestyle coverage and expert-driven depth. In the fashion category, users not only share OOTDs but also analyze fabrics and brand heritage. In the food category, posts range from restaurant reviews to grocery shopping tips. In travel and hospitality, detailed content includes hotel experiences, itinerary planning, transportation comparisons, and even “what to avoid” advice. This blend of professionalism and practicality has shaped a user habit: “Check rednote before making any decision.”

 

04 From Browsing to Search: How Rednote’s Authentic Posts Influence Decision-Making

User behavior on rednote follows a “dual-stage conversion” pattern: more than half of users discover new brands through the content feed, and nearly half go on to actively search for target products, forming a logical path of immersive browsing → in-depth searching → purchase decision.

For example, a user might be drawn to a post like “Sunset Citywalk Outfit Ideas” or “Shanghai Citywalk Must-Sees,” and then follow up by searching for reviews of a specific dress brand or hiking shoes and ultimately completing a purchase.

 

05 Compared to Douyin, Rednote Offers Deeper Decision-Making Influence and Stronger Conversion Power

There are fundamental differences between rednote and Douyin (AKA. TikTok in China) in terms of user behavior and marketing logic. As a lifestyle-sharing platform, rednote focuses on image and text content centered around consumer decision-making scenarios. Users tend to search and compare products with a clear purpose. The platform’s user base is 73% female, with 64% aged 25–35, and 65% residing in Tier 1–2 cities, making it a group with high purchasing power and strong decision-making rationality.

In contrast, Douyin, a broad entertainment platform dominated by video content, has a younger demographic (40% aged 18–24), and its user base in lower-tier cities is growing rapidly (42% YoY in Tier 3–4). It’s more aligned with leisure and casual browsing.

In luxury marketing, for example, when GUCCI publishes a spring show breakdown on rednote, users are likely to search for “where to buy the runway look.” In contrast, similar content on Douyin is often edited into music-synced clips aimed at entertainment rather than purchase intent. Rednote’s combination of “professional content + search functionality” makes it more suitable for building long-term brand equity.

 

06 Global Brands Are Accelerating Their Investment in Rednote, Unlocking New Opportunities in the Chinese Market

From luxury to tourism and hospitality, global brands are leveraging rednote to build localized marketing ecosystems. In the luxury space, Louis Vuitton launched an official account and published content series like “Ouyang Nana’s Life Soundtrack,” linking products with themes like “the art of travel” and “musical aesthetics” with some posts receiving nearly 4,000 likes.

In tourism, VisitBritain launched the “Shine On Britain” hashtag campaign, inviting creators to share hidden gems like Cornwall’s magical coast, driving increased visa inquiries. In hospitality, Rosewood Hotels promoted its “A Sense of Place” concept through collaborations with both influencers and everyday users, sharing vacation content from various destinations and significantly boosting brand search volume.

 

07 Rednote as the Content Infrastructure for Global Brands Entering China

In today’s marketing era where “content is traffic, and traffic is business”, rednote’s ecosystem of authentic content, deep search, and trust-based conversion has become a digital bridge between global brands and Chinese consumers.

To win in this competitive landscape, brands must embrace rednote’s native content environment and embed their products into users’ everyday lives. Only by doing so can they capture consumer mindshare and achieve full-funnel commercial success from awareness to growth.

If you’d like to learn more about how to build marketing strategies on rednote and how it connects with the broader omnichannel ecosystem in China, feel free to reach out: marketing@yoyi.com.cn. Our rednote marketing specialists are here to help.

Source of featured image: By YOYI TECH

Categories
AIGC News

YOYI TECH Shines at G-Media Summit: Five AI Omnichannel Marketing Scenarios Fuel High-Quality Growth

As a premier annual event in the advertising and marketing industry, the G-Media Summit has attracted hundreds of brand representatives over its nine-year history. Curated by its organizers, the summit brings together top-tier marketing service providers and media platforms to explore new directions in the era of human-centered marketing. Fang Cai, Chief Operating Officer of YOYI TECH, was invited to deliver a keynote on “Five AI-Driven Scenarios for Omnichannel Marketing to Power High-Quality Growth.” Fang emphasized that the true value of AI Agents can only be unlocked under three prerequisites: AI-ready data, AI-compatible workflows, and AI-friendly content.

AI Is Reshaping the Industry—And the Data Proves It

Technological advances are transforming both marketing products and user behavior. According to multiple authoritative research institutions, the AI marketing wave is unstoppable. iResearch forecasts that by 2030, the Chinese AI advertising market will reach RMB 127.8 billion. IDC projects that China’s overall AI Agent market will hit RMB 60 billion by 2028. Globally, one in four users is expected to change how they search for information.

Drawing from 18 years of industry experience and robust data assets, YOYI TECH has conducted deep client research and identified five core scenarios where brand marketers face critical demands. For each, YOYI TECH has developed a corresponding AI Agent solution—creating a matrix that enables brands to adapt rapidly and achieve high-quality growth in the AI-powered era.

Breaking Through the Data Fog: The Insight Agent Tackles Redundancy and Timeliness

“Enterprises today don’t lack data—they have too much of it,” said Fang. The problem lies in vast, high-volume, and highly unstructured data sources. This leads to redundancy and inefficiency—data exists, but insights are elusive. Even when insights are eventually extracted, the delay in filtering, cleansing, and analyzing often renders them obsolete.

YOYI TECH’s enterprise-level AI Insight Agent is built upon proprietary brand knowledge bases, industry-specific databases, and third-party knowledge repositories. With natural language prompts, marketers can instantly generate customizable, visually enhanced reports. Each report iteration includes real-time insight outputs driven by intent analysis, KPI correlations, and multi-dimensional data cross-analysis—empowering brands to respond to market shifts with agility.

Elevating Strategy: The Strategy Agent Ushers in a Decision-Making Revolution

Traditionally, marketing strategies have relied on expert intuition, with data insights playing a secondary role. “AI allows us to systematize and scale marketing know-how by embedding it into data-driven, traceable processes,” Fang noted.

YOYI TECH’s AI Strategy Agent utilizes Retrieval-Augmented Generation (RAG) to dynamically draw from internal, industry, and third-party knowledge repositories. It transforms the experiential wisdom of brand marketers and industry experts into structured knowledge graphs. By integrating and cross-referencing these resources algorithmically, the Strategy Agent surfaces optimal strategic paths that align with varied campaign goals.

Content Transformation: The Content Agent Delivers Mass Personalization at Scale

Content is the bridge between brands and consumers. In today’s fragmented media landscape, brands must generate platform-specific creative content for advertising, social, and owned media. Each platform requires unique formats and tones, demanding massive resources for content adaptation.

YOYI TECH’s AI Content Agent streamlines this complexity. By integrating top-tier models like GPT-4o, Gemini 2.0, and Claude, it enables one-click generation of media-ready content aligned with each platform’s requirements. Beyond static assets, it also automates video editing and adaptation for multi-platform publishing.

The engine behind this efficiency? Continuous model training based on historical ad creatives and ongoing optimization via brand-specific product catalogs. The result is an intelligent system capable of delivering high-quality, compliant, and highly personalized content at scale instantly.

Operational Excellence: The Operation Agent Drives 24/7 Full-Funnel Optimization

From media buying to private traffic operations and lifecycle management, traditional execution has long depended on manual processes, SOPs, and mentor-apprentice models, which slows responsiveness and consistency.

YOYI TECH’s AI Operation Agent redefines this approach with a 24/7 intelligent control center trained on vast campaign data and fine-tuned for precision. It spans the full lifecycle: from objective setting and diagnosis to real-time optimization and performance control. The Agent provides early warnings, corrects strategies, and continuously refines key elements such as audience targeting, media mix, creative rotation, and frequency control.

Crucially, all operational insights feed back into the brand’s exclusive knowledge base—creating a self-reinforcing cycle of data-driven decisions, intelligent execution, and experience evolution.

Fang illustrated the transformation journey of a leading consumer electronics brand across three AI integration phases:

Phase 1: Data & Strategy Enablement

  • Connected the brand’s internal knowledge base, historical media data, and YOYI TECH’s industry repository.
  • Deployed the Insight Agent and Strategy Agent.
  • The Insight Agent powered ChatBI modules for automated reporting and ROI optimization across campaign types.
  • The Strategy Agent learned from years of historical data to generate strategy sets aligned with brand goals and adapt them in real time.

Phase 2: Content Intelligence

  • Integrated the brand’s product catalog to fine-tune a content agent tailored to brand tone.
  • Automatically generated platform-specific creatives across images, videos, and copy formats.

Phase 3: Operational Enhancement

The Operation Agent tracked campaign performance end-to-end, dynamically optimizing audiences, media selection, and budget control to maximize ROI.

Results:

  • +70% ROI improvement
  • Campaign analysis time reduced to 30 minutes
  • Content production costs down 77%
  • Smart knowledge accumulation for future AI deployment

Winning the Search Battle: The GEO Agent Solves Brand Visibility Challenges

With AI redefining information retrieval, Gartner forecasts that by 2026, 25% of traditional search traffic will be replaced by AI search traffic. As user behavior shifts from search engines to AI chat, brands must adapt to maintain visibility in this new ecosystem.

“Search has entered the 3.0 era—intelligent, personalized, and unpredictable,” Fang noted. Different models yield different answers, creating both challenge and opportunity.

YOYI TECH’s GEO (Generative Engine Optimization) Agent addresses this shift by helping brands:

  • Boost brand mentions
  • Strengthen brand positioning
  • Maintain consistent and accurate brand messaging across AI interfaces

For example, when users asked “What’s the best phone under RMB 5,000 for university students?”, a leading smartphone brand was absent from the AI-generated recommendations, while competitors dominated the list. The GEO Agent analyzed the underlying information sources, identified gaps, and advised content strategy adjustments. Post-optimization, the brand appeared in AI recommendations successfully.

GEO Agent tracks search patterns, flags brand mentions, and simulates pre-publishing impact to maximize inclusion in AI-generated content. Visual dashboards help clients monitor their AI search health in real time.

The AI Agent Activation Code: AI-Ready Data, AI-Compatible Workflows, and AI-Friendly Content

YOYI TECH’s AI Agent Matrix covers insight, strategy, content, operations, and GEO—creating a closed-loop system from early-stage analysis to downstream brand management. However, Fang reminded the audience that these Agents only work when foundational elements are in place:

  • AI-Ready Data: Build connected, multi-source knowledge ecosystems that enrich AI agents with both static archives and live updates.
  • AI-Compatible Workflows: Avoid siloed tool adoption. Integrate AI into a streamlined, end-to-end process that enhances collaboration across departments.
  • AI-Friendly Content: Optimize structure, keywords, and publishing channels to ensure LLMs understand and prioritize your brand.

 

From Efficiency to Value: YOYI TECHs Vision for Intelligent Marketing

YOYI TECH’s AI Agent Matrix is not just a response to industry pain points—it’s a systematic realization of “technology empowering business.” From insight to strategy, content to operation, and into the era of AI-led search, YOYI TECH is elevating AI from tool to strategic partner.

As Fang Cai concluded, “True AI marketing is not about stacking technologies—it’s about making AI Agents your brand’s invisible growth partner.” With continued iteration of the Agent Matrix and deepening of industry-specific knowledge bases, YOYI TECH is guiding the marketing sector into a new phase: from efficiency gains to value creation—anchoring high-quality growth amid uncertainty.

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