Your creative is hit or miss.
You run tests. Some ads win. Others tank. But you can't tell why, or which specific elements made the difference. Two months and a thousand dollars later, you've tested fifty variations and learned nothing transferable.
Advertising evolution
for Shopify operators.
Clarity for every dollar you put behind ads. A loop that decomposes your ads element by element, and shows you how to make more winners. And a statistical engine that tells you what your spend really drove, past inflated platform metrics and broken attribution.
You're flying blind.
In two different ways.
Most Shopify advertisers are stuck in the same trap. Spending real money every day on ads, with no real way to know what's actually working, and no way to trust the numbers the platforms hand back.
Your numbers are lying to you.
Meta says it drove $10K. Google says it drove $8K. Total revenue: $11K. Every platform takes credit for the same sale. Your CFO doesn't believe the dashboards. Neither should you.
Two systems.
Two solved problems.
The fix isn't a smarter dashboard. It's the analytical work each problem actually requires. Finch Labs builds two distinct systems into one platform.
An evolutionary loop.
Decompose your ads element by element. Run them in a competitive arena. Breed the winners. The system doesn't just pick a winner. It tells you why. You walk away with the recipe for more.
A statistical engine.
Statistical analysis without hiring an analyst. Marketing-mix modeling, incrementality testing, causal impact. The real story of what your spend drove, past what platforms claim.
Your ads, evolved.
Your numbers, real.
Finch is Charles Darwin for your ad creative — variants compete, the winners breed, and every cycle produces sharper ads. Galton is your own data scientist — what actually moved the business, past what Meta and Google claim moved it.
Evolution for ad creative
Darwin's framework, applied to your ad account. Every campaign is an evolutionary arena — variants compete, real performance picks the winners, and the winners breed into the next generation. Each cycle produces sharper creative. No a/b stalls. No guesswork.
- Goal-adaptive fitness scoring
- Per-island gene inheritance
- Creative pre-screening before you spend
A data scientist for attribution
Francis Galton's statistical rigor, on your ad-spend data. Marketing-mix modeling, causal-impact tests, incrementality patterns — measured by Galton, not reported by the platforms. The platforms credit themselves with too much. Galton tells you what your money actually bought.
- Long-window MMM with adstock decay
- Causal impact & incrementality patterns
- Customer LTV & retention cohorts
Operators who care about real growth.
Direct brands
One company, one Shopify, one Meta account, one Google Ads. Many campaigns running. Finch evolves the creative; Galton tells you what's actually working — and what only looks like it is.
Agencies
Manage multiple client accounts under one login. White-label the experience so your clients see your brand. Per-account integrations, per-account analytics, per-account experiments — all isolated.
Currently in closed beta.
We're onboarding hand-invited brands and agencies. If you'd like to be one of them, get in touch.
hello@finchlabs.ai →