ImagineAI Marketing Agency - Custom Agent with Ad Spend Commission, Monthly Income 50k RMB
Workflow: Every day, input brand positioning, industry keywords, and budget, and the agent automatically generates social media te
Key Fields
FIELD STAMPS🔧 Workflow
Every day, input brand positioning, industry keywords, and budget, and the agent automatically generates social media text, images, and videos, while drafting target audiences and bids. Based on real-time ROI data, it automatically adjusts keywords, swaps materials, and halts low-performing campaigns, outputting weekly review reports for human judgment on optimization directions. Humans only need to spend 30 minutes a day reviewing agent output and ad campaigns, with the remaining time dedicated to expanding new clients.
🛠 Setup Requirements
Requires mastery of low-code agent orchestration platforms like Coze and Dify, calling generative capabilities such as GPT-4o, Jimeng, and Tongyi Wanxiang, and integrating open APIs of Ocean Engine or Kuaishou Maglev Engine. An MVP can be built in about 2-3 weeks, with no deep algorithm background required. Familiarity with ad platform data reports and callback interfaces is sufficient; those with Xiaohongshu/Douyin operation experience can get started faster.
🧰 Toolchain
- 🔧 Coze
- 🔧 Dify
- 🔧 GPT-4o
- 🔧 Jimeng
- 🔧 Tongyi Wanxiang
- 🔧 Ocean Engine Open Platform API
- 🔧 Maglev Engine API
💰 Revenue
① SME ad spend commission (main income): Brands pay a 5% - 10% service fee based on ad spend. A single client spends 50k - 100k RMB per month × servicing 5 clients = monthly income of 20k - 50k RMB (estimated range 12.5k - 50k RMB); Douyin feed CPM has risen to 75-120 RMB (media estimate, independently unverified), the proportion of income is not public (merchant self-reported caliber, independently unverified, data as of 2026); ② Performance-based client expansion: Expanding to 10 SME clients and sharing performance-based revenue can push monthly income past 80k RMB, actual client count unverified, share also unstated; ③ Batch material production on a per-use fee: Single professional marketing content production cost suppressed to 50-200 RMB (media estimate, independently unverified), content production cost/piece reduced by 81% (merchant self-reported data), charging clients per piece or package, quotes not public, order volume untraceable, proportion unknown; ④ Opportunity item - Multi-vertical industry agent template reuse: One person manages multiple accounts, exact number of accounts manageable not publicly disclosed, proportion of total revenue also not given.
💸 Cost
Tool subscriptions are about 200-500 RMB per month, various platform API fees based on call volume are about 500-2000 RMB per month, total cost is below 3000 RMB. If self-building servers to deploy the Dify version of the agent, cloud server fees will increase by about 200 RMB per month.
⏱ Time Investment
Initial setup investment is 2-3 hours per day for three weeks, later operations and maintenance take about 1 hour per day to monitor delivery and handle customer feedback, and half a day per week is spent reviewing and optimizing agent strategies.
🚀 Getting Started
First, select a niche industry such as catering or local life, use Coze to build two skills for content generation and delivery strategy, and connect to a real client account to run through the closed loop; the first order can use a performance-based payment model to lower the customer decision threshold, and after generating data, replicate to adjacent industries such as beauty, education, and e-commerce.
🔑 Keys to Success
- ✅ Trust mechanism of commission based on performance rather than monthly fees
- ✅ Accumulating industry-exclusive material libraries and delivery knowledge bases
- ✅ Humans control strategic direction while agents handle execution and iteration
- ✅ Multi-platform advertising interface redundancy to prevent single-platform policy changes
⚠️ 风险
- ⚠️ Platform advertising interface policy changes may cause delivery capabilities to fail, requiring multi-platform redundancy
- ⚠️ Customer industry material copyright or platform content review rule changes create ban risks, requiring built-in compliance verification
- ⚠️ AI-generated materials suffer from severe homogenization; without manual creative intervention, ad click-through rates may decay rapidly
📌 Real Cases
- 📌 A digital marketing practitioner managing online promotion for 5 brands introduced an AI system at the end of 2024. A single person's output became equivalent to 3 previous full-time marketing specialists. By 2026, through agency delivery commissions, they reached a monthly income of 50k RMB while simultaneously serving multiple enterprises to achieve compound growth.
- 📌 A local life service provider used a marketing agent built on Coze for a hotpot restaurant to generate Douyin text/images and group-buying delivery plans, increasing ad spend from 20k RMB to 80k RMB per month. Based on an 8% commission, monthly income was 6.4k RMB, with a customer repurchase rate reaching 70%.
- 📌 An independent developer used Dify + Jimeng to generate Facebook ad creatives for 3 cross-border e-commerce brands, with each creative set automatically producing 50 variants, increasing ad ROI by 1.8x, and achieving a monthly income of about 30k RMB via ad spend commissions.
- https://www.tixiaolu.com/posts/ai-marketing-automation-2026
- https://hashmeta.com/cn/posts/ai-marketing-tools-2026-comparison-selection-guide
- https://publicdata.online/articles/2026-05-28-ai-social-media-marketing-2026.html
- https://noiz.ai/use-cases/zh-Hans/article/guide-to-the-best-ai-tools-for-small-businesses-2026