Shopify A/B testing
Controlled tests on product, cart, and landing pages where traffic supports them, with winners shipped to the live store and losers dropped.
Service
Your store keeps improving after launch, in priority order. This ongoing conversion rate optimization program uses research, analytics, and Shopify A/B testing to find the next best change, implement it, and measure what actually happened.
Brands past the first build, where the question is no longer what to launch but what to improve next. If your store is live, selling, and standing still, ongoing optimization is how it moves forward without guesswork.
Not every project includes statistically significant A/B testing, and we will not pretend otherwise. The testing method depends on your traffic, data quality, available tools, and objectives. Low traffic stores get structured, well reasoned changes with careful before and after measurement, not fake significance claims.
Controlled tests on product, cart, and landing pages where traffic supports them, with winners shipped to the live store and losers dropped.
The page that decides the sale: proof, price logic, buy box, and education, rebuilt around the questions buyers actually ask.
Pages for paid traffic, kept in line with the ad that sent the visitor, with one offer and one next step.
We start from evidence: store behavior, customer feedback, and journey analysis, then rank opportunities by likely impact and effort.
Where visitors enter, where they hesitate, and where they leave, mapped across the full path from ad click to checkout.
Where access is available, we review your analytics to check findings against real behavior instead of opinion.
Each change starts as a testable idea: what we expect to change, for whom, and how we will know.
Hypotheses become real page changes, built cleanly and documented, not mockups that never ship.
Plain language reports on what changed, what the data showed, and what happens next, including results that do not support a change.
We review performance, behavior, and the previous cycle's results.
The next improvements are ranked and agreed with you before anything is built.
Changes ship in the agreed order, with documentation on what changed.
You receive a plain language report: what changed, what the data showed, what happens next.
An ongoing conversion rate optimization engagement: each cycle reviews performance, prioritizes the next improvements, implements them, and reports what the data showed. It starts with an audit and keeps going from there.
A change is tested against the current page with traffic split between the two, and the winner ships to the live store. Where traffic does not support a true A/B test, we say so and use structured before and after measurement instead.
It depends on your conversion rate and the size of change you want to detect. As a rule, high traffic stores can run true A/B tests; lower traffic stores benefit more from well reasoned changes measured carefully over time. We tell you honestly which category you are in.
We work with the analytics and testing tools your store already has, including Google Analytics 4 and Microsoft Clarity for behavior insight, and your existing testing tool where one is in place.
Yes. Ongoing engagements are structured in cycles, and scope for each cycle is agreed before it starts. You are not locked into changes you did not approve.
Custom sections, theme work, and storefront builds that are easy to edit and hard to break.
Learn more →Landing pages, advertorials, and listicles built around one offer and one next step.
Learn more →A structured Shopify conversion rate audit that finds where customers get stuck and which fixes matter first.
Learn more →Practical automation for repetitive operational work, built on reliable integrations with human oversight.
Learn more →Tell us about your store, your goals, and the challenges you want to solve. We'll use that context to determine whether we're a good fit.