Plan a reliable A/B test by estimating the sample size and duration needed to detect a meaningful lift. Useful for landing pages, ads, signup flows, and email tests.
A test needs enough traffic to separate real improvement from random variation. Small lifts require much larger samples.
This is a planning estimate, not a full statistical test engine. Use analytics software for final significance decisions.
At a 5% baseline conversion rate with a 10% expected lift, the required sample can be large because the detectable effect is small.
This calculator uses your campaign inputs to estimate the metric and highlight the decision point behind it.
This calculator uses your campaign inputs to estimate the metric and highlight the decision point behind it.
This calculator uses your campaign inputs to estimate the metric and highlight the decision point behind it.
This calculator uses your campaign inputs to estimate the metric and highlight the decision point behind it.
This calculator uses your campaign inputs to estimate the metric and highlight the decision point behind it.
| Metric | How to use it |
|---|---|
| Sample Size | Traffic needed per variant. |
| Test Duration | Days required at current traffic volume. |
| Readiness Score | Whether the test is practical. |