Hard to picture at home
Shoppers can't feel the fabric or see how the piece fits their room. That gap is the biggest reason they stall, or go to a showroom instead.
Home & Living
For online shops from €100k a month
A/B testing for home and living shops
A sofa is an expensive guess when you can't sit on it. Your buyers take their time, come back several times and worry about delivery. We find out what makes them commit, 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
Big purchases nobody can touch
Home and living is bought slowly and with feeling. People are shaping the place they live in, and they're scared of getting it wrong.
Long, careful journeys
High prices mean many visits before an order. Your pages have to hold up on the fourth visit, not just the first.
Delivery and assembly worries
When does it arrive, does it fit through the door, who builds it, what if it's wrong? Unanswered, these questions kill the sale at the last step.
Fear of a style mistake
Will it match what's already there? Is the table the right size? Buyers need confidence in the look, not only in the product.
What we test here
What a home and living 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:
See it in a real room
Lifestyle photos and customer pictures from real homes next to the studio shots, so buyers can picture the piece in their own space.
Delivery answered upfront
Delivery window, assembly and returns for large items explained on the product page, before the checkout surprises anyone.
Materials, made tangible
Close-ups, fabric samples and plain descriptions of how a surface feels and ages, where shoppers weigh the price.
Complete the room
Matching pieces and sets that help buyers get the look right and lift order value at the same time.
Results from our case studies
We don't have a public home and living 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
Yes, but you read it differently. When buyers visit several times before ordering, we measure tests in revenue per visitor over the full test run, not in how many people buy on the first visit.
Whatever the research says is costing you the most. Often that's the gap between the product page and the buyer's room: how the piece looks at home, what delivery involves, and what happens if it doesn't fit. Every idea gets its odds from Apex before we build it.
Yes. We build tests at code level, so templates for category pages, product pages and configurators can be tested across the whole range, not one product at a time.
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.