Pet Main Food Omnichannel Direct-to-Consumer Brand Model

📌 Background

The scale of pet-owning households continues to expand. In 2026, China's urban pet main food market size is projected to reach 129.1 billion yuan, expanding to 173.8 billion yuan by 2030. Main food accounts for over 70% of pet food, with cat main food at 46.2 billion yuan and dog main food at 34.9 billion yuan (industry research statistics). Domestic brands are shifting from low-price competition to quality premiums, relying on self-owned factories to ensure formula consistency and cost advantages. On the channel side, self-operated e-commerce, subscription memberships, and offline authorization advance in parallel, while consumer data is used to drive formula iteration and demand forecasting.

👤 Target Customers

Urban middle-to-high-income pet-owning households aged 30-60 and commercial dog breeding farms

💰 Revenue Streams

1) Direct Product Sales: Selling finished main food by order through self-operated e-commerce platforms and offline channels; 2) Subscription Memberships: Collecting membership fees on a monthly or quarterly basis, providing regular delivery, formula upgrades, and dedicated customer service; 3) Brand Authorization: Collecting authorization fees from offline retail and cross-industry partners based on the authorization period; 4) Commercial Customer Supply: Directly selling main food to commercial dog breeding farms based on supply volume (opportunity item; the revenue scale of breeding farm supply is not publicly available).

🧮 Cost Structure

Raw material procurement costs, factory manufacturing and quality inspection expenses, channel logistics and warehousing expenditures, brand marketing and membership operation costs

🛡️ Moat

Self-owned factories achieve large-scale production, ensuring formula consistency and cost advantages; brand DNA and reputation form a differentiated moat; omnichannel layout achieves a closed-loop user touchpoint; big data drives formula iteration and inventory management.

🔑 Keys to Success

• Build strong brand DNA
• Construct an efficient supply chain
• Leverage big data for formula and demand forecasting

⚠️ Risks

• Price increases of major raw materials (meat, grains)
• Low-price impact from new entrants
• Formula adjustment costs caused by tightening regulatory policies

🏢 Cases

• 乖宝宠物
• 网易严选
• 中宠股份

📊 SWOT Analysis