Two people can disagree about a page forever. A fair test settles it with what your visitors actually do.
Your team has several ideas for a key page and no way to tell which one helps. Someone ships a change, sales shift a little, and nobody knows whether the change caused it.
We set up experiments for the changes that matter. That means choosing what to test, agreeing on what success looks like, running each test long enough to trust, and writing down what the data actually says.
A ranked list of tests, ordered by likely business impact
Test designs with sample sizes worked out before launch
Plain reports on what worked, what failed and why
A growing record of proven wins your team can build on
We sort your ideas by likely business impact, so limited traffic goes to the test most worth running.
Before launch, we define the success metric, the sample size and how long the test must run.
Each test runs through at least one full weekly cycle, and promising early numbers don’t end it.
You get a written account of what the data says, and each win joins your record of proven changes.
We work with VWO, Optimizely, Convert and platform-native tools such as Shopify’s built-in experiments. The choice depends on your site, traffic and budget.
Enough to reach statistical significance, meaning the result is unlikely to be chance, in a reasonable time. The exact amount depends on how big an effect you expect. For low-traffic sites, we use other checks, such as before-and-after analysis.
Typically 2 to 4 weeks. A test needs to reach statistical significance and cover at least one full weekly cycle. Tests stopped early because of early results are unreliable.
The changes with the biggest potential impact and the strongest evidence behind them. We rank ideas with a framework that weighs expected impact, confidence and effort.
Tell us about your project and we'll get back to you within 24 hours.