Oct 21 ā¢ š§ Quick Tips
š§ What I Learned from Testing AI-Generated Video Content So Far
This week I ran an experiment: I started posting almost 100% AI-generated videos to brand-new accounts. Each video takes about five minutes to make using Sora 2 and ChatGPT for captions.
The results: Pretty average ā around an 8% like-to-view ratio, which is standard for marketing-style content, but the difference is time. At five minutes per video, even āaverageā engagement becomes really good ROI.
Hereās what Iāve noticed so far š
- Relatable content still wins. Videos about the headaches of running a business do better than ones about success. People connect with what theyāve lived through ā not what they envy.
- Your audience mirrors what they see. When I use a 30-something female character with a modern office vibe, the audience skews toward people who look like her, dress like her, or strive to be her. Itās a reminder that visuals are a form of targeting ā people are drawn to reflections of themselves. Representation shapes your audience. Be intentional about who appears on screen.
- Music choice and vibe matter a lot. The more upbeat the song and faster the pacing, the higher the engagement. The tone and rhythm of a video often matter more than its message to keep your audience engaged. People feel your content before they think about it.
- CTA Matters for conversion. Even the best visuals and storytelling fall flat if your call to action isnāt clear. Viewers shouldnāt have to guess what to do next, you have to tell them. āLearn how belowā, āVisit >website< to start,ā or āMessage for more informationā ā it all works when itās direct.
Key Takeaway:
AI hasnāt changed what works marketing, it just saves us time and allows for more testing. There's no filming and almost no editing, but the core principles havenāt moved an inch:
- Relatability
- Representation
- Energy
- Clarity
Thatās what connects with people ā not the tool you used to make it.
So if youāve been holding off on creating because you think it has to be perfect, it doesnāt.
Start experimenting, gather data, and adjust as you go. Some eyes on your product are better than none, and by putting yourself out there, you learn what works and what doesn't.
Iāll be posting a full case study soon with all the videos, prompts, and metrics once the experiment wraps up.
Have you tried Sora 2 yet? What have you noticed between your best and worst-performing videos? Drop your insights below. Iād love to compare notes :)
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š§ What I Learned from Testing AI-Generated Video Content So Far
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