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SME Marketing Agency Setup & Managed Operations: Monthly fee of 4,500 RMB serving 4 clients, generating 18,000 RMB/month

Workflow: Every Monday morning, product selling points, campaign schedules, and budget limits for the week are collected from clie

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionChina

ScaleSME

ChannelOnline

🔧 Workflow

Every Monday morning, product selling points, campaign schedules, and budget limits for the week are collected from clients and inputted into a self-built marketing agency workflow, which automatically batch-produces social media copy, initial image drafts, ad audience targeting suggestions, and ad budget breakdown tables. In the afternoon, each item is reviewed and revised manually; AI handles mass production while humans act as judges to oversee brand tone and compliance red lines, delivering the content calendar and campaign plan to the client thereafter. Over the weekend, advertising and engagement data are summarized, and underperforming assets are analyzed and fed back into prompt templates to make the next week's output more accurate, making the workflow increasingly valuable over time.

🛠 Setup Requirements

No self-developed models are needed; building multi-step marketing workflows using platforms like Coze or Manus is sufficient. The core is mastering the integration of three modules: content generation, audience analysis, and ad optimization. Feishu is required for delivery and data collection, and drawing tools like Jimeng are used to supplement image generation capabilities. Going from zero to creating the first demonstrable client case takes about two weeks, and the learning path involves copying public Agentic marketing automation practical tutorials and replacing the materials with those from the target client's industry.

🧰 Toolchain

🔧 Coze
🔧 Manus
🔧 Jimeng
🔧 Feishu

💰 Revenue

① SME clients (Primary revenue): Clients pay a monthly agency setup + managed operations fee, 4,500 RMB/client/month × stable 4 clients = approx. 18,000 RMB/month, with about 100% of monthly revenue coming from this channel (case description, unverified independently, estimated); ② Ad performance commission: Clients pay a commission based on ad performance increments; the commission rate is not publicly disclosed, but third-party observations show that teams using AI tool combinations achieve a 3-5x increase in per capita output and a 40% increase in creative quality scores (derived from media calculations, unverified independently), with commission volumes and revenue share not disclosed; ③ Industry templates and prompt asset subscription: Clients in the same industry pay an annual template reuse subscription fee, with no public data on annual fee tiers or the number of signed clients, and this channel's share is absent from public materials; ④ Opportunity item - Expanding the client pool to 6 clients: Calculated at 4,500 RMB/client/month × 6 clients ≈ 27,000 RMB/month (estimated), depending on whether the renewal rate can exceed 60%, with its proportion of total revenue unspecified.

💸 Cost

Platform subscriptions for Coze or Manus cost about 200 to 500 RMB per month, and pay-per-use drawing and model APIs cost about 300 to 500 RMB per month, totaling 500 to 1,000 RMB per month, accounting for less than ten percent of monthly revenue.

⏱ Time Investment

About 2 to 3 hours per day, including 1 hour reviewing and rewriting AI outputs, 1 hour on client communication and requirement gathering, and the remaining time spent on data review and prompt optimization.

🚀 Getting Started

Step one is not to sell services first, but to use Coze to build a free social media content generation agency for a familiar local business, running through the complete closed loop from inputting selling points to outputting a full week's content calendar. Once running smoothly, let the client test it for two weeks and record changes in engagement data, turning the before-and-after comparison into a one-page case study. Take the real case study to peer businesses, quote 4,500 RMB per month, sign two or three clients first to verify the delivery rhythm, and then decide whether to expand the client pool.

🔑 Keys to Success

✅ Build sample clients for free first to accumulate real-world performance data that can be showcased externally
✅ Focus deeply on one to two industries to refine prompt templates and build compoundable industry assets
✅ Humans must review published content and ad recommendations to prevent AI outputs from violating advertising laws or causing brand disasters
✅ Feed weekly ad data back into the workflow for continuous optimization, locking in renewals with performance data

⚠️ 风险

⚠️ If platforms like Coze or Manus drastically cut prices or open similar templates for free, clients might bypass service providers and build independently
⚠️ AI-generated social media content suffers from severe homogenization; if restricted by platforms and clients see no results, they will refuse to renew
⚠️ Advertising laws and platform compliance red lines change rapidly; if AI outputs contain superlative words or false promises, clients will bear penalties and hold service providers accountable

📌 Real Cases

📌 The ultimate comparison of AI marketing tools published by Hashmeta's Chinese portal in 2026 covers 12 mainstream tools across content creation, intelligent delivery, and data analysis, indicating that tool usage demand among marketing teams and independent site operators has entered deep waters, expanding the scope for managed operation services
📌 Hashmeta pointed out in its 2026 comprehensive guide to generative AI marketing that AI can increase content production speed by 5 to 10 times, shifting marketers toward strategy and optimization roles, which precisely corresponds to the human-as-judge intervention point for individual managed operators
📌 The practical tutorial on Agentic AI marketing automation released by hipro in 2026 systematically deconstructs agent workflows for content generation, audience analysis, and ad optimization, proving that this workflow is publicly reproducible and enables individuals to build a client-ready demo version within two weeks following the tutorial

Sources