3.6×conversion rate
0.59% → 2.7% · CVR
E-commerce CRO agency
The CRO agency that only
works with online shops
No SaaS, no lead gen. Eight years of A/B testing for online shops, 4,000+ experiments of our own and a database of 4.3 million tests. We know how people buy online, and we put odds on every idea before it touches your traffic.
For online shops from €100k a month. A free 30-minute call with the team.
€500M+ in additional revenue for 250+ brands like:
Sound familiar?
Your CRO agency treats your shop like any other website.
The same checklist that fixes a SaaS sign-up flow gets applied to your product page. The recommendations sound smart and ignore how people actually decide to buy.
Shops have their own logic. Someone scanning a category page behaves differently from someone comparing sizes on a product page. Cart abandonment in fashion has different causes than in food. A generalist can't know that, because they haven't tested it often enough.
- Recommendations come from a checklist, not from your buyers.
- Nobody can tell you how ideas like yours usually test in your category, so every idea is a guess.
- One test runs at a time, so a year brings a handful of results.
- Success gets reported as conversion rate, even when order value drops.
- The agency learns on your budget and takes what it learned with it when it leaves.
How we optimize an online shop
We call it Prediction-Based Experimentation. Four steps, built around how people find, judge and buy products online.
The first month is research: reviews, surveys, support tickets, competitor reviews, ten analyses and 40+ hours of session recordings and heatmaps across category pages, product pages, cart and checkout. Revenue leak detection shows which parts of the funnel lose money. It all ends in a 20+ page report, and every idea is written as if, then, because.
Apex by DRIP, our own testing tool, scores every idea on revenue exposure, Likelihood to Win and effort. The likelihood comes from 4.3 million tests across 151,000 shops, the 4,000+ we ran ourselves and the research on your shop. That's where e-commerce depth pays off: a tactic that wins on a fast-fashion shop can lose on a premium one, and the score knows the difference.
Each test gets a brief and 3 to 5 designed variants that you approve. We build at code level, no visual editors, and our QA team checks every variant on real devices. Then six to ten tests run in parallel across category pages, product pages, cart and checkout, with 50/50 splits and statistics fixed before launch.
We measure revenue per visitor, because a test can lift conversion and still cost you money if order value drops. Win or lose, every result gets filed by the buyer motivation it confirmed and the friction it exposed. That loop is why our win rate went from 27% in 2024 to 56% between April and June 2026.
That's the short version. The full method, phase by phase, is on the process page.
See the full processTwo shops, two very different problems
A sneaker retailer with a broken conversion rate, and a fitness brand whose traffic is mostly mobile.
€773K / monthadditional revenue
€3.2M · Generated
How Blackroll added €773K/month by turning a complex product range into a testing system
€500M+additional revenue for our clients
4,000+A/B tests run by our own team
27% to 56%our win rate: 2024, then April to June 2026
What you get
Everything an e-commerce testing program needs, from one team.
A research report on your buyers
20+ pages on what drives your buyers, what brings them into your category and where your funnel leaks revenue.
A ranked test backlog
Every idea with its Likelihood to Win, revenue exposure and effort, re-ranked every two weeks on your results.
Designed and built variants
3 to 5 designed variants per test for mobile and desktop, approved by you, then a code-level build.
QA on real devices
Our 10-person QA team checks every variant on real devices via BrowserStack, tracking included, before it touches your traffic.
Six to ten tests running at once
Clean 50/50 splits, sample-ratio checks and pre-registered statistics on every test.
Reporting in revenue
Three dashboards, from research memory to an executive view in revenue per visitor, plus a call with the team every two weeks.
Questions we get on almost every call
Everything we do is built around the purchase funnel: category pages, product pages, cart and checkout. We've done A/B testing for online shops for eight years and nothing else. That gives us 4,000+ experiments of our own and a database of 4.3 million tests from 151,000 shops, so we can tell how an idea usually performs in your kind of shop before we build it. A generalist starts from best practices. We start from what has actually won and lost.
Shops on Shopify and Shopify Plus as well as other platforms and custom or headless builds. Every test is built at code level, so the method is the same wherever your checkout runs. What drives a purchase decision doesn't change with the platform.
In revenue per visitor. A test can raise conversion rate and lower order value at the same time, and then you've gained nothing. Every test is pre-registered before launch: frequentist method, 80% confidence and 80% power, minimum detectable effect and duration fixed upfront, no early stopping. We also say upfront that 40 to 50% of tests come back negative or unclear.
Fashion and apparel, footwear, sneakers and streetwear, food and snacks, health food, jewellery, sports and recovery equipment, and gifting, among others. What buyers need to believe differs by category: the trust signals that sell a wool shoe aren't the ones that sell a juice cleanse. Seeing patterns across 250+ brands is something a single in-house team can't do.
We ramp up until six to ten tests run in parallel at any time, across different parts of the funnel. Every visitor is assigned to each test independently, so the tests don't contaminate each other. By month three, your shop has usually run more experiments than most brands ship in a year. The exact pace depends on your traffic.
Most of our clients are European online shops, and we also work with brands selling into Europe from elsewhere. If your main market is outside Europe, we'll talk through on the call whether the program fits.
Online shops from €100k a month in revenue. Below that, tests take too long to reach a result and the program can't pay for itself. If that's you, we'll tell you on the call.
Your shop already has the traffic.
Let's see what it's worth.
Book a call and tell us where your shop stands. We'll talk through where the money leaks and what a testing program could realistically do about it. If it's not a fit, we'll say so.
See if your shop is a fit
30 minutes, and you'll know exactly where your shop stands.
The guarantee, in full
At least 10% more revenue in under six months, or month seven onward is free.
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.