Fit decides the sale
The biggest doubt is size. When shoppers aren't sure something fits, they either leave or order two sizes and send one back. Both cost you money.
Fashion & Apparel
For online shops from €100k a month
A/B testing for fashion and apparel shops
Your shoppers can't try anything on, most of them browse on a phone, and a good part of what they buy comes back. We find out what holds them back, 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
Nobody can try it on
A fashion shop has the same funnel as any other shop. The reasons people stall in it are different.
Returns change the math
A sale that comes back isn't a sale. That's why we read every test in revenue per visitor, not in clicks or add-to-carts.
The cart is a wishlist
Fashion shoppers park things in the cart and come back later, or never. A test that only chases add-to-cart can look great and earn nothing.
Seasons are short
Collections drop, sell through and go on sale. A test that runs across a sale weekend reads differently from one that doesn't, so we plan the calendar around yours.
What we test here
What a fashion backlog looks like
Every idea starts in research into your buyers: reviews, surveys, support tickets, session recordings. 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:
Size help where the doubt happens
Fit notes, model sizes and a plain "runs small" right next to the size picker, not three clicks away in a size chart.
Photos from real customers
Customer photos and reviews that talk about fit and fabric, placed where shoppers hesitate instead of at the bottom of the page.
Complete the look
Outfit and bundle suggestions that lift order value without pulling attention off the product the visitor came for.
Returns and delivery, said plainly
Return terms and delivery dates on the product page, where the decision happens, instead of in the footer.
Fashion shops we've grown
Numbers from our own case studies, with the tests behind them.
€8.2M+
additional revenue
How SNOCKS scaled from €2M to €90M a year
€12.2M
over 3 years
How Giesswein added €12.2M in revenue after a post-COVID drop
+€323K
per month
How Oceansapart added €323K/month in 6 months starting from zero data
Common questions
There isn't one number worth chasing. Conversion rate moves with traffic source, device, price point and season, so someone else's benchmark tells you little about your shop. What matters is whether your revenue per visitor goes up against your own baseline, and that's what we measure every test on.
Most testing starts from a list of best practices. We start from research into why your buyers hesitate, and every idea gets odds from Apex before it's built. The same tactic can win on one fashion shop and lose on the next, so the odds are about your shop, not the category.
Yes, and they need different things. Scarcity timers can lift revenue on impulse buys and hurt it on considered purchases, so the tactic that wins for fast fashion can backfire on a premium label. That's exactly what the Likelihood to Win reads: which idea fits which shop.
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.