A RMB 9.9 AI Course Reportedly Sold Over 37,000 Copies. Can a Small Team Handle the Orders?
Course price, volume and sales in the public summary are author claims without refunds, repeat purchases, service labour or net profit.
What to consider
Course price, volume and sales in the public summary are author claims without refunds, repeat purchases, service labour or net profit. Payment records and course material were not obtained, so delivery quality and replicable returns cannot be established. A low-cost introductory course needs one defined task and manageable follow-up support.
Turn course commitments into a completed project first.
Start with tasks you can teach clearly: define what students need to prepare, the operations they should follow during the course, and the results they should achieve. Choose a simple AI hands-on task first to align teaching materials with exercises. Once the scope is clear, it becomes easier to determine whether user issues fall within course commitments.
Have actual target students follow the instructions and observe where they get stuck: at tool entry points, material preparation, or result adjustments. Add recurring issues to the documentation. The case summary lists directions covered by the course but does not provide a complete syllabus; this article does not replicate its content nor claim that any specific teaching arrangement leads to corresponding sales.
Track the support workload before taking more orders
Track the time spent on lesson planning, updating examples, answering questions, and handling after-sales support. Distinguish between reusable materials and tasks requiring individual attention. Organize Q&A entry points and service guidelines based on actual challenges encountered to observe whether students can find answers more easily, then decide how much new business volume you are willing to accept.
The over 360,000 yuan mentioned in the case is disclosed sales revenue; it cannot be used to infer profit margins or directly estimate the number of different users based on order volume. When calculating your own business metrics, retain authentic records of actual receipts, refunds, promotion costs, and delivery investments. Keep data gaps marked as unknown rather than applying others' achievements as a benchmark for returns.
Ensure future products can address emerging learning needs.
After the course round, organize what tasks students completed, what issues they still need solving, and which requests exceeded the current delivery scope. Design the next service step around recurring follow-up needs and clearly outline the new content. Do not assume every low-cost course buyer will purchase other products.
This line of thinking suits small teams with practical experience who can provide ongoing Q&A. This article only references publicly available summaries from our own cases and has not read or expanded paid posts. Existing summaries do not prove actual sales results for subsequent products; course repurchase rates and business performance still need to be confirmed through your own delivery records.
Create a sample and check the delivery
Set a three-day course outcome as one original small project, declaring prerequisites, tools and support scope. After a trial, record enrolment, attendance, submissions, refunds and support time separately. High enrolment without task completion calls for checking content and entry requirements. No course was purchased, learners recruited or actual profit estimated here.
Source checks for this article
Checked within stated limits · 2026-10-21
Course price, volume and sales in the public summary are author claims without refunds, repeat purchases, service labour or net profit. Payment records and course material were not obtained, so delivery quality and replicable returns cannot be established. A low-cost introductory course needs one defined task and manageable follow-up support.
Materials read
- Public case study from this site: Sales volume and revenue leads for the 9.9 yuan AI practical course ↗
Reporting and public summaries · Only the public case title and summary were obtained, not the complete original post, product or backend data.
- GA4: purchase and refund events ↗
Method reference · Used to distinguish purchases and refunds; payment events are not learning completion or net profit.
What remains unverified
- Course material, orders and refund records were not obtained. Sales, completion, service costs and net returns remain unverified.
Source links
Original reference links are retained below. The source-check section distinguishes materials read, materials not obtained and outcomes not reproduced.