Use competitive data and AI analysis to build data-backed creative testing hypotheses. Stop guessing what to test — let the market show you what works.
Performance marketers and creative teams running active ad campaigns who need to improve their creative hit rate. Ideal for teams spending $10K+ monthly on paid ads who want to iterate faster.
It also fits agencies running creative testing across multiple client accounts, where a repeatable, evidence-based test plan matters more than any single hit.
Most creative testing is guesswork. Teams test random variations without strategic direction, resulting in low win rates and wasted budget. Without understanding what's already working in the market, you're testing in the dark.
The industry benchmark for creative win rate hovers around 1 in 5 to 1 in 10 tests, and most of that failure rate comes from testing hooks and angles nobody has proven demand for. A new creative brief built on a hunch costs the same production and media budget as one built on evidence — the only difference is the odds.
AdLibrary lets you analyze what's working for competitors and across your industry before you create a single ad. AI enrichment reveals the hooks, angles, and formats that drive engagement, giving you data-backed hypotheses for every test.
Instead of starting a test plan from a blank page, you pull the ads your competitors have kept running the longest — a reasonable proxy for what's converting — and break down the hook, the visual pattern, and the offer structure behind each one. That turns your next test into a variation on a proven pattern rather than a fresh guess.
Tom Nakamura
Mar 5, 2026
Ad creative testing becomes so much easier when you can see how competitors test their own creatives. We reverse-engineer their testing frameworks and adapt them.
