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AI-developed vertical mini-program with 800 users and 20 members; payment proves the potential!

I developed a WeChat mini-program using AI. The vertical industry sees daily visits, with over 800 cumulative users. As of now, there are 20 paying members, but the conversion rate remains too low. I need to rebuild the conversion funnel; however, the presence of paid subscriptions proves this model is profitable.

Summary

Review the results before exploring further

I developed a WeChat mini-program using AI for a vertical industry. It receives daily visits, with over 800 cumulative users and 20 members so far. Conversion rates remain low, requiring a rebuild of the conversion funnel. However, the fact that there are paying users proves this model is profitable.

Our Take

Three things to consider about this case

Why it matters
First, run a small, verifiable task, recording the outcome, manual modifications, and maintenance effort.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Independent developers and those needing to improve workflows
What to try first
Select a small task with clear boundaries and create a minimum viable version that can be handed over for others to try.
What to measure
Record task completion rate, number of manual corrections, and whether users reuse the service.
Try Related Open Source Projects ↗

What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
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