Experience & conversion
We implement experiments that are technically sound — flicker-free, DOM-safe and tied to the right metric — so the result you read is the result that happened.
An A/B test is only as good as its setup. A flash of the original, a variant that breaks on mobile, or a metric that doesn't match the hypothesis will quietly ruin the result before you ever read it.
We handle the engineering and the statistics: clean variant implementation, agreed success metrics, sample sizes worked out in advance, and an honest read at the end — including when the answer is inconclusive, which is a valid outcome.
Most of conversion work is the measuring, not the change. Inconclusive is a valid result.
Testing a new product-page layout against the current one to see which drives more add-to-carts.
Comparing how different value propositions or offers on a page affect conversion, cleanly and measurably.
Rolling out a redesign as an experiment first, so a big change is backed by data before it goes to everyone.
Technologies
We agree the hypothesis, the primary metric and what a meaningful change would look like before building anything.
We implement the variant flicker-free and DOM-safe, then QA it across devices to confirm it behaves everywhere.
We launch the test at a planned sample size and duration, and monitor for tracking or delivery issues while it runs.
We read the result against the primary metric and recommend ship, roll back, or run again — including calling it inconclusive.
Real projects that used this capability. Every one shipped.
Tell us about your store and your goals. We'll come back with a clear, honest plan and a transparent quote.
