Hero headline test
B leading. Holding for one more cohort before calling.
Your AI lab partner runs the experiment, watches the data, and quietly replaces the loser. You see the winner in the changelog.
B leading. Holding for one more cohort before calling.
B promoted to default. Variant A retired.
B calls — lifts AOV without pushing checkout drop-off.
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.
Tests stop the moment the posterior crosses 95%. No fixed sample size. No "wait two weeks because the calendar said so."
AI proposes variants, predicts traffic needed, simulates risk.
Sequential split. Bayesian posterior updates after every cohort.
Winner ships at 95% confidence. Loser is rolled back automatically.
Tone, length, claim
Verb, colour, placement
Lifestyle vs. studio
Anchors, rounding, tiers
Mix and discount depth
$50 vs $75 vs always free
Curiosity vs benefit
Window, timezone, frequency
Incremental revenue / quarter
vs. 14 days for fixed-horizon tests
of variants beat control by ≥ 95% confidence
across 4,200 shipped experiments
Agentic A/B testing ships with every Amboras storefront. No third-party app. No statistician on retainer.