Calculator
Is this result real?
Put in visitors and conversions, or revenue per user, for control and variant. You get the uplift, the p-value and whether it clears your confidence level.
Check whether a result is real, work out how long a test needs, see what parallel testing does to your pace, and model what a year of testing is worth. Four calculators, one place.
Each tab answers one question you'll have at some point in a testing program.
Calculator
Put in visitors and conversions, or revenue per user, for control and variant. You get the uplift, the p-value and whether it clears your confidence level.
Test planning
Set your baseline, the smallest effect worth finding and your daily traffic. You get the sample per variant and the days it takes, with tests running in parallel if you want.
Simulation
Compare confidence levels and numbers of parallel tests over the years: how many winners you find, how many false ones slip through, and what that earns.
Forecasting
Model a year of testing from your traffic, conversion rate, order value and margin, with the real cost of building and QA'ing every test.
The math tells you whether a result is real. It can't tell you what to test next. That's the part we predict, before anything gets built.
How the method worksNo sign-up, no email gate. Use them as often as you like.
Business case
Put in your revenue and what testing costs you. See six months of extra revenue next to the cost.
Run the numbersData
Conversion rates, cart abandonment, device splits and test win rates from 117 European brands.
See the benchmarksRanking
Eight testing tools ranked on what matters for online shops, with every weight and source published.
See the rankingBook a call and bring the numbers you just worked out. We'll look at where your shop stands and what testing could realistically add. If it doesn't add up for you, we'll tell you.
A free 30-minute call with the team. That's it.
The guarantee, in full
When you can predict what wins, you can promise the outcome. What counts as uplift, how it's measured, and what happens if we miss is written down in plain language.
We can promise it because we know our numbers: more than 50% of our A/B tests win, across 4,000+ documented experiments. That's when a guarantee stops being marketing and becomes underwriting.
Cookies
We use optional analytics and marketing cookies to improve performance and measure campaigns. Privacy Policy
Select the type of metric you're testing
Enter your test data above to calculate statistical significance