Two ideas walk in. One ships.
Your AI lab partner runs the experiment, watches the data, and quietly replaces the loser. You see the winner in the changelog.
It calls the test when it's actually called.
Naive 50/50 splits run forever and burn revenue on the loser. Sequential testing with Bayesian updating ships winners faster and kills losers the moment the data is decisive.
Every variable. Already wired up.
- Headlines
- Tone, length, claim
- CTAs
- Verb, colour, placement
- Images
- Lifestyle vs. studio
- Pricing
- Anchors, rounding, tiers
- Bundles
- Mix and discount depth
- Free-shipping thresholds
- $50 vs $75 vs always free
- Email subjects
- Curiosity vs benefit
- Send times
- Window, timezone, frequency
What better tests actually buy you.
- Time-to-decision
- 3.2 days, vs. 14 days for fixed-horizon tests.
- Win-rate
- 38% of variants beat control by ≥ 95% confidence.
- False-positive rate
- < 5% across 4,200 shipped experiments.
Stop guessing. Start measuring.
Agentic A/B testing ships with every Amboras storefront. No third-party app. No statistician on retainer.
- Bayesian sequential
- Variant generation by AI
- Auto-promote winners
- Roll back losers