Long research, many visits
Few people buy gear on the first visit. They compare specs and reviews across sessions, so your pages have to win the comparison, not just the click.
Sports & Outdoor
For online shops from €100k a month
A/B testing for sports and outdoor shops
Your buyers read specs, watch videos and compare three other shops before they commit. We find out what they need to see to buy from you, put odds on every test idea before it's built, and run six to ten tests at once.
A free 30-minute call with the team. That's it.
4.3 millionA/B tests in the genome, from 151,000 shops
50%+of our A/B tests win. The industry: about 1 in 5
€500M+additional revenue for 250+ brands
What's different here
Buyers who do their homework
Sports and outdoor gear is bought by people with a goal: a race, a trek, a season. That changes what makes them hesitate.
Specs that overwhelm
Waterproof ratings, weights, materials. Without help deciding which of them matter, shoppers stall or leave to read about it somewhere else.
Seasons decide the calendar
Ski gear sells in winter, hiking gear in spring. Tests have to be planned so the peak isn't the first time a new page sees real traffic.
Fit depends on the activity
A running shoe fits differently from a hiking boot. Sizing doubt drives returns, especially where performance depends on the fit.
What we test here
What a sports backlog looks like
Every idea starts in research into your buyers, then Apex by DRIP, our own testing tool, gives it a Likelihood to Win, based on 4.3 million past tests, before anyone builds it. A few ideas that tend to show up:
Help choosing, not more specs
Product finders and comparison views that translate specs into "good for this, not for that", so buyers can decide on your page.
Proof from people who use it
Reviews that say what the gear was used for and how it held up, shown next to the specs shoppers doubt.
Build the kit
Bundles and add-ons that fit the activity, like the right socks with the right shoe, to lift order value without adding noise.
Timing and delivery in season
Clear delivery dates before the weekend or the trip, placed where buyers decide whether to order now or wait.
Sports shops we've grown
Numbers from our own case studies, with the tests behind them.
€773K / month
additional revenue
How Blackroll added €773K/month by turning a complex product range into a testing system
3.6×
conversion rate
How Kickz went from 0.59% to 2.7% conversion rate in 3 years
+€323K
per month
How Oceansapart added €323K/month in 6 months starting from zero data
Common questions
Because the buyers are doing research. They compare specs, read reviews and come back later. That's normal. What testing can change is how often your shop wins that comparison, and we measure it in revenue per visitor, not in first-visit conversion.
We plan around them. Tests that need clean traffic run before or after the peak, and anything we test in season is read with the season in mind, so a busy weekend is never mistaken for a winning variant.
Yes. We build tests at code level, not in a visual editor, so finders, comparison tables and configurators can be tested like any other page. Every idea still gets its odds from Apex before we build it.
The first month is research, and the first tests go live by the end of it. By month three, six to ten tests run at once and the first winners are live. The guarantee: at least 10% more revenue in under six months, or month seven onward is free.
We work with online shops from €100k a month. Book a call and we'll tell you straight whether yours is a fit, and if it isn't, we'll say that too.
Spend the same on ads.
Make more from them.
Book a call with the team and tell us about your shop. We'll talk through where it stands, where you want it to go, and how we'd get you there. If working with us isn't the best return on your money, we'd tell you rather than take it.
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 wins, 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. That's when a guarantee stops being marketing and becomes underwriting.