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Using AI to create vertical short videos about car stories: over a million views, generating more than 50,000 RMB in product promotion sales. Worth benchmarking.

Came across a blogger creating short videos in the vertical niche of car stories using AI, narrating brand stories for Toyota, Mercedes, Audi, etc. Multiple works have tens of thousands of likes, shares, and hearts, with views exceeding one million! The comment section is lively, with discussions about brands and comparisons between Chinese and foreign cars~

Summary

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Came across a blogger creating short videos in the vertical niche of car stories using AI, narrating brand stories for Toyota, Mercedes, Audi, etc. Multiple works have tens of thousands of likes, shares, and hearts, with views exceeding one million! The comment section is lively, with discussions about brands and comparisons between Chinese and foreign cars~ They have already enabled storefront product promotion, mainly selling car vacuums priced at 79.9 and facial tissues at 19.99 (which can also be kept in cars). They have sold 778 orders of tissues, achieving monetization of over 50,000! Highly worth benchmarking! If you're going to do it, go all-in on AI short videos in vertical fields!

Our Take

Three things to consider about this case

Why it matters
Use one product or piece of content to validate demand first, then record transactions, costs, and after-sales service.
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
Content operators and e-commerce practitioners
What to try first
Select one product or set of materials for a small-scale test, recording publication and feedback.
What to measure
Compare genuine inquiries, clicks, and transaction feedback, recording costs and revenue separately.
Try Image Compression ↗

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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