A/B testing ROI calculator
Without a test, you ship your best guess — and hope it wasn't the weaker option. See what it's worth to test first and ship the winner instead of leaving it to chance.
What is one test worth?
Estimate the revenue you'd leave on the table by shipping a guess instead of testing two versions and keeping the winner.
Estimates only — built to show why testing pays off, not a performance guarantee. The value of any single test depends on the change and your traffic.
Shipping a guess vs. knowing the winner
Every change has a better and a worse version. Without a test you pick one blind — and half the time, that's the weaker one. A test simply tells you which is which before all your traffic sees it.
A new offer or layout can swing conversion far more than a button colour. The type of change sets how much is at stake.
Without a test you ship the weaker version about half the time — and the lost conversions are invisible, so you never learn.
The same percentage gap is worth far more on a high-traffic page, which is exactly where guessing wrong costs the most.
Stop guessing, start knowing
Personyze lets marketers build, target, and measure A/B and multivariate tests in a visual editor — on content, layout, offers, recommendations, and personalization rules — without waiting on engineering. Test first, ship the winner.
- ✓A/B and multivariate testing across content, design, offers, and personalization.
- ✓Visual editor — launch and iterate without code or developer tickets.
- ✓Target tests to the right segments using unified visitor data.
- ✓Statistical significance built in, so you ship real winners, not noise.
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How is the value of an A/B test calculated?
We take the gap between your best and worst performing version, and the chance you'd have shipped the weaker one without testing. Multiplied by your traffic, conversion rate, and order value, that's the revenue a test protects each month — the amount you'd otherwise leave on the table by guessing.
Is it worth testing if my traffic is low?
The same percentage gap is worth less on a low-traffic page, so very small pages may not justify a test. The calculator makes this trade-off explicit: enter your real traffic and change type and see whether the protected revenue is large enough to be worth the effort.
What kind of change should I test first?
Start with high-impact changes — offers, pricing, page layout, and headlines move conversion far more than cosmetic tweaks like button colour. The bigger the potential gap between versions, the more a test is worth.
Do I need developers to run a test?
No. Personyze runs A/B and multivariate tests through a visual editor on top of unified visitor data, so marketers can launch, target, and measure experiments without engineering work.
Shipping a guess is a coin flip with your revenue.
Half the time the version you'd ship on instinct is the weaker one — and you never find out. Test first and the better version always wins.