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A set of AI wedding photo prompts and rehearsal PPTs sold for just $12 each, totaling 8,793 copies. Creating an additional pre-wedding resource pack with AI could be priced at a high-value tier of $99.

When people get married, they buy happiness, joy, and fun—things they aren't price-sensitive about. Everything is about beauty; serving them well leads to better results. In the previous article, we discussed a rehearsal game PPT set priced at $6.99 that sold 8,330 copies.

Summary

Review the results before exploring further

When people get married, they buy happiness, joy, and fun—things they aren't price-sensitive about. Everything is about beauty; serving them well leads to better results. In the previous article, we discussed a rehearsal game PPT set priced at $6.99 that sold 8,330 copies. Continuing to explore this pre-wedding audience, I found an interesting product in my selection library: Doupo's dual-person AI wedding photo prompts for $12, featuring 150 styles, which sold 463 copies. Combined with the previous set, these two products have a total sales volume of 8,793 copies. This makes me even more eager to dig deeper into this pre-wedding audience. One product prepares photos before the wedding; the other creates atmosphere on the day itself.

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
Small teams providing services
What to try first
First confirm specific needs with a potential user and validate delivery with a small pilot.
What to measure
Record user adoption, delivery time, and subsequent willingness to pay.
For Individuals
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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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