Trust before the first order
Nutrition and supplements for pets are bought carefully. Missing proof or unclear ingredients stop people before the cart.
Pet Care
For online shops from €100k a month
A/B testing for pet care shops
Pet owners are careful with what they feed their animals, and they read ingredients like it's their own food. We find out what makes them trust you and come back every month, 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
Buying for someone who can't complain
Pet owners buy on behalf of an animal they love. That makes them cautious on the first order and loyal once they trust you.
Routines, not one-off buys
Food and care products run out on a schedule. Many shops win the first order and never turn it into a routine.
Subscriptions that feel risky
Owners like the idea of never running out, but not the feeling of being locked in. How the subscription is offered decides the take-up.
Big ranges on small screens
Catalogues are large and full of ingredient detail. Without guidance on mobile, owners drop before choosing.
What we test here
What a pet care 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:
Advice by breed, age and need
Guided finders that recommend the right product for this animal, so the owner doesn't have to research it elsewhere.
Reviews from owners like them
Reviews filtered by breed, age or condition, placed where the owner hesitates.
Subscriptions with an easy way out
Clear pause, skip and cancel options shown upfront, so committing to a plan feels safe.
From trial to routine
Starter packs and reorder reminders that make the second and third order the obvious next step.
Results from our case studies
We don't have a public pet care case study yet. These are two of our biggest results, run with the same method.
€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
Common questions
Whatever the research says is costing you most. Often it's trust on the first order or the step from first order to routine. Every idea gets its odds from Apex before we build it, so the strongest ones go first.
That's exactly what we'd test. How the subscription is framed, when it's offered and how easy it is to pause or cancel can all be tested, and we measure the result in revenue per visitor, not sign-ups alone.
We test how you present and explain what you're allowed to say. We don't invent claims. Clearer ingredients and better proof usually do more than bigger promises.
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.