Claude Code-Powered DTC E-commerce Ad AI Optimizer - Monthly Agency Fee of 20K-60K RMB

💰 Revenue

1. Overseas DTC sellers (Primary revenue): Commission-based ad agency service fees. Client monthly ad spend of 30,000 to 80,000 RMB × service fee rate of 12% to 15% = single client monthly fee of 3,600 to 12,000 RMB (estimated) × 4 to 6 managed agencies = monthly revenue of about 20,000 to 60,000 RMB, which constitutes almost all of the monthly revenue (approx. 100%, estimated, based on merchant self-reported figures independently unverified). 2. Incremental ROI commission: Commissions based on incremental ad performance brought by creative and landing page A/B testing. Commission ratios are not public, and the number of cooperating clients is unverified, making the exact revenue share unclear. 3. Lightweight self-service packages: Monthly subscription for optimization templates and creative tag libraries offered to small and medium sellers. Monthly subscription fees have not been published, subscriber counts are unverified, and revenue share is unspecified. 4. Opportunity point - Cross-platform optimization SaaS: Productizing cross-platform data pulling and ROI calculation scripts into a monthly subscription (basic API calls for Meta, Google, and Ocean Engine ad platforms are free, advanced data interfaces are billed by call volume at approx. 100 RMB/month, platform pricing is public). The potential scale of this remains unproven.

💸 Cost

Claude Code subscription and multi-platform API calls cost about 800 to 2,500 RMB per month; n8n self-hosted server costs about 50 to 100 RMB per month; Midjourney batch image generation subscription costs about 100 to 200 RMB per month. Basic API calls for Meta, Google, and Ocean Engine ad platforms are free, while advanced data interfaces are billed by call volume at approximately 100 RMB per month.

⏱ Time Investment

Dedicate 0.5 to 1 hour daily to review AI-generated decision summaries and handle exception alerts; spend 4 to 6 hours weekly setting up ad systems for new clients, updating ad platform API adaptation rules, and optimizing creative tag libraries.

🔑 Keys to Success

• ✅ Only take on clients with monthly ad spend over 30,000 RMB to ensure service fees cover AI tool costs and leave a profit margin.
• ✅ Convert the first batch of clients to paid status after a two-week free trial run to verify results, yielding the highest conversion rate.
• ✅ Ad platform API permission application is the entry barrier; prepare enterprise qualifications and historical ad performance proof in advance.
• ✅ Continuously train the AI creative understanding model to build an exclusive creative tag library tailored to the client's product category, achieving an ROI optimization accuracy over 30% higher than general models.

⚠️ 风险

• ⚠️ Frequent adjustments to API interfaces and advertising policies by Meta, Google, and Ocean Engine require ongoing code maintenance and adaptation to prevent campaign interruptions.
• ⚠️ Significant fluctuations in client ad performance may lead to service fee disputes; contracts must explicitly state performance-guarantee disclaimers, charging solely based on a percentage of actual ad spend.
• ⚠️ AI misjudgments can lead to wasted ad budgets, necessitating the setup of daily maximum spend thresholds and emergency pause rules, with mandatory human review of anomalous campaigns during daily audits.