Prove which changes actually improve conversion
Experiments lets you run A/B tests and measure their real effect on conversion, connecting every change your team ships back to the outcome it produced.
Shipping a change isn't the same as improving conversion. Experiments closes the loop, so every optimisation is measured, not assumed.
What happens without Experiments
Shipped changes are rarely measured
Teams ship a redesign or a copy change and move on, without confirming it actually helped.
Results get debated instead of proven
Without proper experiment tracking, "it feels better" replaces a measured conversion lift.
Wins and losses aren't recorded
Without a history of experiments, teams repeat past mistakes and forget what already worked.
Everything Experiments gives your team
A/B and split testing
Run experiments against real traffic and measure the conversion difference directly.
Statistical significance tracking
Know when a result is real, not just noise.
Experiment history
A running record of what was tested, what won, and by how much.
Direct link to opportunities
Test the highest-ranked recommendations first, and measure the outcome.
From install to insight
Set up a test
Define the variants you want to compare against real traffic.
Traffic is split and tracked
Conversion outcomes are measured for each variant automatically.
Results are recorded
Wins, losses, and significance are kept as a searchable history.
Works alongside Experiments
Common questions about Experiments
How do I know when a test result is significant?
Experiments tracks statistical significance automatically, so you can see when a result is reliable versus when more data is needed.
Can I test changes suggested by Page Fixes?
Yes. Recommendations from Page Fixes and Opportunities can be tested directly through Experiments to confirm their real impact.
Is there a limit to how many experiments I can run?
Experiment limits depend on your plan. Contact us if you need higher-volume testing across multiple sites.
Ready to see experiments on your own site?
Shipping a change isn't the same as improving conversion. Experiments closes the loop, so every optimisation is measured, not assumed.