
350+ · A/B tests run
On Shopify, a good idea can die in a bad build: flicker, app conflicts, tracking you can't trust. We research your buyers, put odds on every idea before it's built, and build every variant in code, checked on real devices. Then six to ten tests run at once.
For online shops from €100k a month. A free 30-minute call with the team.












Sound familiar?
The testing app went in with one script tag. Now the page flashes the old version before the new one, a review widget fights the variant for space, and purchase events show up twice. Somewhere in there, a test got called a winner.
And the ideas came from a Shopify best-practice list. The same list your competitors read. So even the clean tests don't move much.
Prediction-Based Experimentation, with the Shopify details handled. Four steps, repeated every month.




The first month is research: reviews, surveys, support tickets, competitor reviews and 40+ hours of session recordings and heatmaps across your product, collection and cart pages. We also look at your app stack and your tracking, because a test is only as good as its data. You get a 20+ page report and ideas written as if, then, because.
Apex by DRIP, our own testing tool, gives each idea a Likelihood to Win, based on one of the largest A/B test databases in e-commerce: 4.3 million tests from 151,000 shops. Your ideas get ranked by revenue exposure, odds and effort, so build time goes where it pays.
We build every variant at code level, not in a visual editor, because visual editors slow pages down, cause flicker and bias results. Our 10-person QA team checks each variant on real devices via BrowserStack, tracking included. Then six to ten tests run in parallel on clean 50/50 splits.
We measure revenue per visitor, with the statistics fixed before launch and no early stopping. Winners ship and keep earning. Every result gets filed by buyer motivation and friction point, so your next ideas start with better odds.
That's the short version. The full method, phase by phase, is on the process page.
See the full processTwo Shopify brands with very different starting points.

350+ · A/B tests run

18 · Winning tests
A full testing program for your Shopify store, from one team.
20+ pages on why your visitors buy, why they don't and where your store leaks revenue.
Every idea scored on revenue exposure, Likelihood to Win and effort, and re-ranked every two weeks.
Variants built in code against your theme, not layered on top with a visual editor.
Every variant checked on real devices, tracking included, so the numbers you read are the numbers that happened.
Clean 50/50 splits, sample-ratio checks and statistics fixed before launch.
Dashboards in revenue per visitor, and a call with the team every two weeks.
Yes. Headless builds need one extra check: a variant can render fine on the frontend while revenue tracking breaks after the handoff to Shopify's checkout. So before a test goes live, we check assignment, events and revenue end to end. What your particular setup needs, we work out on the call.
We build every variant in code, against your theme, instead of layering it on with a visual editor. Visual editors slow pages down, cause flicker and bias results. Before launch, our QA team checks each variant on real devices and screen sizes, tracking included.
We test everything that leads into it: the cart, shipping thresholds and the trust signals before checkout. How much of the checkout itself can be tested depends on your plan and setup, so we look at yours on the call.
Both. What matters more than the plan is size: we work with stores from €100k a month in revenue, because below that tests take too long to reach a result. Shopify Plus can open up more of the checkout for testing.
Review widgets, upsell apps, loyalty tools and pixels all load their own scripts, and they can collide with a test or add noise to the data. Before tests go live, we look at your app stack for those collisions. If an app gets in the way, we sort it out with your team before we trust a result.
Apex by DRIP, our own testing tool. It's included in our service, so there's no separate tool subscription.
Revenue per visitor decides every test, because it captures both conversion rate and order value. Alongside it we watch conversion rate, average order value and add-to-cart rate by page type. We also monitor every test for sample-ratio mismatch, so a broken split never gets read as a result.
In month one the research is done, the plan is scored and the first tests are live. By month three, most stores have run more experiments than most brands ship in a year. Month six is when the guarantee comes due and the lift gets measured.
Book a call with the team. We'll talk through your store, your apps and your tracking, and where we'd start testing. If working with us isn't the best use of your money, we'll say so.
30 minutes, and you'll know exactly where your shop stands.
The guarantee, in full
When you can predict what is likely to win, you can promise the outcome. What counts as uplift, how it's measured, and what happens if we miss is written down in plain language.
We can promise it because we know our numbers: more than 50% of our A/B tests win, across 4,000+ documented experiments. The guarantee stands when our team runs the program for you.
Cookies
We use optional analytics and marketing cookies to improve performance and measure campaigns. Privacy Policy