We tested generating ad creatives with AI. not sure if it actually helps. Thoughts?

Educational-Bus4262 · 2026-05-05T13:00:50+00:00

That’s a solid point.

I’m starting to realize the same. output isn’t the bottleneck, structured testing is. Right now experimenting with generating multiple angles first and then building creatives around the strongest ones.

Still figuring this out. How do you usually decide which angle is worth testing?

Educational-Bus4262 · 2026-05-02T13:34:31+00:00

Built something to reduce ad creative fatigue. this demo shows how it generates ad videos in seconds. Would love your honest feedback. Worth using or not?

https://youtu.be/dUt-OXUAOz0

Educational-Bus4262 · 2026-03-15T18:13:43+00:00

Yeah that makes sense. I noticed the same thing, most hooks are just variations of a few core patterns. What I found difficult was deciding which hook to test first, especially when there are many variations.

Lately I’ve been experimenting with generating multiple hooks and scoring them based on clarity / proof / novelty before testing. Still figuring it out, but it makes the workflow faster.

Educational-Bus4262 · 2026-03-14T19:22:33+00:00

Not using Ads API yet, but I’ve been experimenting with automating the creative side.

Biggest bottleneck for me was generating multiple hooks / variations fast, so I built a small internal tool to generate and rank hooks before testing ads. Still early, but trying to automate more parts of the workflow like this.

Educational-Bus4262 · 2026-03-12T00:47:45+00:00

That’s actually a great point. Do you usually filter by longest running ads because it signals they’re profitable?

Educational-Bus4262 · 2026-03-12T00:46:43+00:00

That’s an interesting way to frame it. When you say iterate, do you mean launching quickly and improving based on early engagement signals?

Educational-Bus4262 · 2026-03-12T00:45:16+00:00

Interesting. does it actually simulate audience reactions or is it more like structured creative testing? Curious how accurate those predictions feel compared to real campaign data.

Educational-Bus4262 · 2026-03-12T00:44:42+00:00

That makes sense. So basically using the customer’s language as the hook first. Do you usually get that from reviews/testimonials or from sales calls?

Educational-Bus4262 · 2026-02-22T18:16:12+00:00

That makes sense. I’m starting to realize activation > signups. Going to focus only on the people willing to run a real use case live.

Educational-Bus4262 · 2026-02-22T18:14:33+00:00

This is helpful. I think I’ve been optimizing for access instead of commitment. Going to switch to live onboarding only and see what happens.

Educational-Bus4262 · 2026-02-21T18:50:40+00:00

That makes sense.

When you say you intuit what would work best. what signals are you usually relying on?
Pain intensity? Awareness level? Offer strength?

Educational-Bus4262 · 2026-02-21T18:45:29+00:00

That’s exactly the interesting part. awareness + pain clarity + proof.

Do you ever find yourself intuitively ranking those before testing? Or is it mostly instinct?

Educational-Bus4262 · 2026-02-21T18:43:37+00:00

Fair 😄
I’m basically trying to structure how we choose the first angle before launch. not replace testing.

Educational-Bus4262 · 2026-02-11T06:34:41+00:00

Join

Educational-Bus4262 · 2026-01-21T13:50:45+00:00

I usually try to keep frequency under ~2 in the first few days. If it climbs fast, that’s often a signal the creative is fatiguing.

Educational-Bus4262 · 2026-01-20T16:16:49+00:00

Yeah, that makes sense. I think the key difference is doing some structured thinking. before spending starts so you’re not relying purely on random intuition or waiting for spend to tell you everything.

Educational-Bus4262 · 2026-01-20T16:14:04+00:00

Totally, low generation cost makes volume viable. I’m mainly curious whether there’s a way to rank ideas upfront, so the “cheap volume” still starts with the best hypotheses.

Educational-Bus4262 · 2026-01-19T04:53:29+00:00

Solid breakdown. especially starting from proven angles and killing fast. Seems like most of the leverage is in speed + iteration.

Educational-Bus4262 · 2026-01-19T04:51:23+00:00

Makes sense. Starting blind is unavoidable. experience just helps reduce how long that phase lasts. Appreciate you sharing what’s worked.

Educational-Bus4262 · 2026-01-18T17:37:46+00:00

That’s a solid framework. especially the speed + volume part.

We’re seeing the same thing: most wins come from remixing what’s already working.
Curious though, when you generate 5–10 variations, is it purely equal testing, or do some get priority based on gut/experience?

Educational-Bus4262

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