AI Meta ad testing, from hypothesis to verdict
Ninebird is an AI ad-testing platform for Meta ads. It turns a business question, such as which message makes your buyers act, into a clean test on Facebook and Instagram, and reports which angle won.
Why most Meta ad tests don't give a clear answer
Most teams don't lack ideas to test. Their tests are hard to read. Several variables change at once, budgets are uneven, the tracking is incomplete, and the test is stopped before the data says anything. The result is a debate instead of a decision.
How a Ninebird test is built
- Angles from your market. Each test starts from patterns already rewarded in your market, found through competitor ad research, then turned into two to four distinct angles.
- On-brand creatives. The AI agents produce the ad creatives in 1:1, 4:5 and 9:16 formats with your logo, colors, fonts and offer, plus one landing page per angle with the same hook as its ad.
- A clean structure. One campaign, one ad set per angle, equal budgets and the same audience, so the angle is the only thing that changes.
- Tracking checked first. If the Meta pixel or the Conversions API isn't reporting, the launch is blocked and you're told why.
- Created paused. Everything is created paused in your own Meta ad account. Nothing spends until you approve the plan and launch it.
What you get at the end
- The winning angle, or a clear statement that no winner can be declared yet.
- How confident you can be in the result, given the volume of data collected.
- What the result says about your buyers.
- A ranked list of the next tests worth running.
What Ninebird does not do
It does not spend your budget on its own, it does not invent testimonials, logos or figures, and it does not reuse other advertisers' images or copy. Meta (Facebook and Instagram) is supported first; Google Ads and LinkedIn Ads are on the roadmap.