Case Study · Gifts & Personalisation
Two shops, one data foundation: Proverdi makes every insight count twice
Proverdi GmbH runs two shops side by side: 1a-Geschenkeshop.de for personalised gifts and Schildershop24 for signs and lettering. One team looks after both. That is a real advantage once both shops share the same data foundation and every observation from one shop helps the other.
I'll show you where your shop loses buyers.
Two audiences, one team
People who order personalised gifts buy on emotion, often shortly before an occasion. People who order signs buy on facts, with a clear brief. At Proverdi the same team sets priorities for both ranges. That keeps decisions quick, and it calls for a clear answer to one question: which shop deserves which change?
Reliable figures from both shops, collected in the same way, provide that answer. So the work starts with the data. Clean tracking turns a gut feeling into a sound decision on budgets and changes. User consent matters just as much: when consent and tracking fit together, later analysis holds up too.
Foundation first, then the checkout
It starts with reporting. We built a report that shows both shops on the same basis, with consistent metrics and comparable time periods. It makes clear where each shop has its potential, and the team decides on that basis. Differences between the shops only become visible once both are measured the same way.
Then comes the checkout. We rebuilt it in both shops on the same logic, so every observation from one shop also applies to the other. Tracking and consent run alongside, because both determine how reliable every later test result will be. A consent solution that captures data cleanly makes every metric in the report trustworthy. We review Google Ads spend continuously and set it against actual behaviour in the shop. One simple question counts: which euro brings in customers who actually buy, and in which shop?
Several shops, twice the learning
If you run several shops, you are sitting on an advantage that many have not yet used. Every change that works in one shop is a well-founded hypothesis for the other. That advantage kicks in as soon as the data is comparable. So we recommend that similar retailers start with reporting, even if the checkout seems more urgent. After that, every further change is decided and delivered faster. Tracking and consent belong in the same round: solved properly once, they serve both shops.
Let’s start with your shop.
In the Dropoff Analysis you see where your shop loses buyers. Afterwards you know where the first step pays off.