ROI越来越差后 我们重新理解了内容电商

This article analyzes the current decline in return on investment (ROI) across the content e-commerce industry, and shares actionable, practical strategies for ordinary practitioners to help businesses resolve growth stagnation.

1. Core industry status: As traffic fades and competition intensifies, customer acquisition and advertising costs continue to rise. For sectors including food and beauty cosmetics, total influencer marketing costs now exceed 50% of revenue. Nearly 80% of small and medium-sized businesses lost money during the 2025 Double 11 shopping festival, making traditional low-efficiency growth strategies that rely on influencer partnerships and large traffic purchases unsustainable.

2. Actionable strategies: To improve ROI, businesses can make adjustments in four key areas: First, build a tagged content middle platform to organize all short videos, live stream clips, and copy into reusable content assets. Second, integrate AI tools across all workflows to assist content generation, live stream management, and advertising optimization, adopting a human-AI collaboration model. Third, upgrade advertising strategies with a pre-testing and real-time optimization framework, while reserving budget to deploy GEO (Generative Engine Optimization) for new scenarios and claim exposure positions in AI search results. Fourth, adjust organizational performance metrics to include long-term indicators such as content asset return, breaking down internal departmental silos.

This article addresses the widespread pain point of falling ROI in content e-commerce, maps out the latest consumer trends and brand growth paths, and provides multiple verified success cases to guide brands as they build out their content e-commerce strategies.

1. Industry and consumer trends: Consumers are increasingly rational buyers, with significantly higher sensitivity to price and product reviews. Platform algorithms have shifted to favor high-quality short-form video and brand-owned live streaming. Competition in content e-commerce now centers on intelligent industrialized production and data assetization, and GEO marketing optimized for AI search will become the next growth breakthrough, with a projected global market size of 3.7 trillion yuan by 2029.

2. Brand implementation path: Brands need to shift from a traffic-focused mindset to a content asset-focused mindset, transform to prioritize brand-owned live streaming, and build their own private traffic pools and user databases. They should also build an internal content middle platform to manage all content assets with tagging, and leverage AI to quickly generate and iterate high-conversion content. Finally, brands should integrate Qianchuan intelligent advertising with new GEO scenarios, establish cross-functional content and advertising collaboration teams, and add long-term performance indicators such as content asset return to evaluation frameworks.

3. Verified case studies: Multiple brands have already successfully implemented this new model. A leading snack food brand achieved 30% GMV growth and a 4x conversion rate lift through AI-powered fine-grained operations. After pivoting to brand-owned live streaming, high-end women's wear brand Zhizhi doubled its in-store live stream GMV and saw sustained growth in repeat purchases. A listed skincare company delivered 92.4% revenue growth after adopting AI-powered operations.

This article addresses the common pain points of falling ROI and stalled growth faced by sellers, maps out the latest industry changes, clarifies potential opportunities and risks, and outlines actionable solutions to help sellers find a clear path forward.

1. Latest industry changes: Traffic growth has stalled, and total influencer marketing costs have surged to over 50% of revenue. Following platform algorithm adjustments, organic exposure now prioritizes user dwell time and engagement. Relying solely on influencer followers cannot guarantee stable traffic, and the traditional strategy of competing on capital and influencer partnerships is no longer effective. Nearly 80% of small and medium-sized sellers lost money during the 2025 Double 11 shopping festival.

2. New growth opportunities: AI technology has penetrated the full workflow of content creation, live streaming and advertising, helping sellers cut costs and improve efficiency. AI-generated content delivers over 10% higher click-through rates than human-created content, and AI advertising tools increase cold start success rates by 25%. GEO marketing, which optimizes content for AI search, is an entirely new traffic track, and early deployment allows sellers to capture the next wave of traffic dividends.

3. Risk warnings and mitigation: If small and medium-sized sellers fail to keep up with technological upgrades and organizational transformation, their operational risks will continue to rise. They should also watch for potential risks including tighter algorithm restrictions on organic traffic, user trust crises triggered by AI content homogenization, and stricter regulatory scrutiny. Sellers can follow the strategies outlined in this article to build a content middle platform, adopt AI collaboration, integrate multi-channel advertising, and gradually improve ROI.

This article maps out the latest changes in the content e-commerce industry, provides clear direction for factories pursuing digital transformation and e-commerce expansion, and highlights new business opportunities.

1. Shifts in product design and production demand: Today's e-commerce shoppers are more rational buyers, with significantly higher sensitivity to price and product reviews. Factories need to abandon the traditional "produce first, sell later" model, and instead adjust product design, SKU assortments, and production plans quickly based on user reviews, sales data and live stream comment feedback from e-commerce platforms to match actual market demand. For example, women's wear brand Zhizhi adjusted restocking and product iteration based on Douyin user feedback, and achieved a doubling of in-store live stream GMV.

2. Insights for digital and e-commerce transformation: For factories building their own branded e-commerce businesses, relying solely on influencer marketing is unsustainable. They should build their own in-house live streaming teams as early as possible, accumulate their own content assets and user data, and take control of their operations. They should also adopt AI tools as soon as possible to empower content creation and live stream operations, cut costs, improve efficiency, and boost conversion rates. The 90%+ revenue growth delivered by a listed skincare company after adopting AI serves as strong validation of this approach.

3. New business opportunities: With the growing popularity of AI search, GEO marketing optimized for AI-generated answers has become an entirely new traffic entry point. Factories can deploy this strategy early, structure product information to embed in AI knowledge bases, claim top exposure positions, and capture new incremental growth.

This article maps out the latest development trends of the content e-commerce industry, clarifies the core pain points of brand merchants, and points out market directions and product innovation paths for marketing and e-commerce service providers.

1. Industry development trends: Content e-commerce has left the era of粗放 growth driven by traffic dividends behind. The core logic of competition has shifted to intelligent industrialized production and content data assetization. AI will deeply integrate into the full workflow of content creation, advertising optimization, and live stream operations, making it the most important industry transformation direction over the next three years. At the same time, GEO marketing optimized for AI search has emerged as a new growth driver with strong market demand; its projected global market size will reach 3.7 trillion yuan by 2029, representing enormous market opportunity.

2. Core customer pain points: The core pain point for brands and merchants today is continuously falling ROI and rising customer acquisition costs. Traditional strategies competing on influencer partnerships and traffic purchases have become ineffective. Most merchants lack guidance on how to systematically implement AI transformation and content asset operation, and there is strong demand for mature solutions to help them break through growth stagnation.

3. Product and solution directions: Service providers can develop products focused on content middle platform development, AI content generation, AI live stream management, and GEO marketing optimization, to help brands accumulate content assets and align content strategy with advertising operations, systematically improving ROI. The AI content middle platform launched by Yiyuan AI, highlighted in this article, is a successfully validated direction that enables even small teams to consistently produce high-conversion content.

This article summarizes the core needs of content e-commerce sellers on platforms, evaluates the effectiveness of existing platform practices, and highlights risks to monitor and optimization directions for platforms, offering valuable reference for platform operations.

1. Core merchant needs: Most merchants currently face falling ROI and high customer acquisition costs. They need platforms to provide tools that better integrate content operations and advertising, publish clearer, more transparent algorithm rules, increase traffic support for high-quality content and brand-owned live streaming, and reduce merchant dependence on influencer traffic to bring down customer acquisition costs.

2. Verified effective platform practices: Douyin's strategy of integrating content and e-commerce traffic pools, creating an independent recommendation queue for e-commerce content, integrating Jumai Qianchuan into the Douyin e-commerce organization, and prioritizing traffic for high-quality content and brand-owned live streaming has been validated by the market to help high-quality brands achieve growth. Kuaishou's introduction of AIGC live streaming and AI advertising tools has also effectively improved cold start success rates and driven merchant GMV growth.

3. Risks to avoid: Platforms need to avoid the problems of widespread merchant losses and a widening gap between leading brands and small and medium-sized merchants caused by continuous cuts to organic traffic. They should also establish standards for AI-generated content in advance to prevent a user trust crisis caused by large-scale content homogenization, and implement requirements for content compliance and user privacy protection early to mitigate regulatory risks.

This article summarizes the latest changes in the content e-commerce industry, proposes a new growth logic and business model, and discloses a large number of first-hand case studies and data, offering high reference value for industry research.

1. New industry trends: After the end of the traffic dividend era, the growth logic of content e-commerce has shifted from single-point viral product-driven growth to long-term growth driven by content assets. The competitive model has shifted from competing on labor and influencer partnerships to intelligent industrialized production and human-AI collaboration. Content has evolved from a supporting marketing function to a core brand asset. GEO marketing optimized for AI search has emerged as an entirely new traffic track, and deep alignment between content strategy and advertising has become the new mainstream growth paradigm.

2. New emerging industry issues: The content e-commerce industry is currently experiencing accelerating polarization. Leading brands continue to expand their advantages by building content ecosystems and intelligent operation systems, and operational risks will continue to rise for small and medium-sized enterprises that fail to transform in time. The industry also faces new issues including homogenization and user trust crises caused by over-reliance on AI-generated content, squeezed organic traffic for small and medium-sized merchants following algorithm adjustments, and stricter regulatory scrutiny over content compliance and privacy protection.

3. Business model innovation: The new business model outlined in this article—combining a content middle platform, AI-powered asset operation, and multi-scenario advertising integration—has been validated by brand case studies across three different sectors. It has been proven to effectively improve ROI, provides a new direction for content e-commerce industry upgrading, and offers rich case and data support for follow-up related research.