Gunjo · Business Intelligence for the AI Era
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Local Services Platform Commission + Advertising (Meituan / Douyin)

Money is collected from merchants, and revenue streams include: (1) Transaction commissions from food delivery and in-st

MODEL

Key Fields

FIELD STAMPS
IndustryLocal Services
RegionChina
ScaleGiant
ChannelHybrid

📌 Background

China's local life services market is shifting from subsidy-driven scale expansion to efficiency and service competition. In 2026, the overall industry scale is expected to exceed 6.8 trillion RMB, with an online penetration rate of 30.8% and monthly active users exceeding 569 million. Major players establish traffic entry points through high-frequency scenarios such as food delivery, in-store group buying, and instant retail, while extending SaaS and supply chain services to merchants on that basis.

👤 Target Customers

Targeted at small and medium-sized merchants and chain brands in catering, retail, and lifestyle services, serving them when they need customer acquisition, fulfillment, and digital operations. Merchants obtain platform orders and traffic by paying transaction commissions, advertising placement fees, and SaaS subscription fees.

💰 Revenue Streams

Money is collected from merchants, and revenue streams include: (1) Transaction commissions from food delivery and in-store businesses, charged as a percentage of the order amount, serving as the basic revenue source; (2) Merchant placement fees for search bidding advertising, recommended traffic slots, and promotional slots, constituting high-margin advertising revenue; (3) Selling SaaS operational tools and supply chain services to merchants, such as ingredient procurement and store management systems, charging subscription fees or service price differences.

🧮 Cost Structure

Rider delivery costs, user-side subsidies and incentives, merchant ground-promotion and operational expenses, as well as overall platform maintenance expenditures such as server bandwidth, product R&D, and content operations.

🛡️ Moat

Meituan forms a closed-loop between delivery-to-home and in-store scenarios through its delivery fulfillment network and high-frequency traffic, resulting in high merchant switching costs; Douyin cuts into in-store group buying with content traffic and algorithmic recommendations, forming a discovery-driven consumption mindset. Both have established network effects in scaled orders and data accumulation, making it difficult for merchants to abandon the traffic acquisition capabilities of either channel.

🔑 Keys to Success

  • High-frequency essential traffic entry points (delivery/group buying)
  • Merchant advertising and marketing placement monetization
  • In-store + delivery-to-home scenario closed-loop

⚠️ Risks

  • Commission rates constrained by policy and merchant resistance
  • Price war between Douyin and Meituan compressing gross margins
  • Merchant churn and exclusive dealing (choose-one-of-two) regulations

🏢 Cases

  • Meituan
  • Douyin Local Services
  • Ele.me / JD.com

📊 SWOT Analysis

Strengths

  • High-frequency, essential traffic entry points with broad user coverage and high daily usage frequency
  • Complete closed-loop of in-store and delivery-to-home dual scenarios, with an intact chain from content seeding to fulfillment and delivery

Weaknesses

  • Operating costs for rider and merchant sides remain high
  • Merchant sensitivity to commission rates poses challenges to sustainability

Opportunities

  • Continuous increase in online penetration, with broad room for local life advertising and SaaS tools
  • Release of content platform dividends, allowing further exploration of new growth in in-store group buying and instant retail

Threats

  • Policy restrictions on commissions and anti-monopoly regulations may alter the profit model
  • Continuous increased investment in local services by content platforms like Douyin and other internet giants, pulling down profit margins