Brands we've
engineered on Shopify.

Five things: the metric and how it was measured, the baseline it moved from, the time window, what specifically changed, and what else was happening at the same time. "+41% mobile conversion" is only meaningful alongside the starting rate, the period compared, and the fact that a set of custom components shipped in between. A number with none of that attached is decoration, and you should read it as decoration.

Because for some engagements revenue is the wrong measure or an unattributable one. Removing 22 hours a week of manual catalogue work has a real and checkable value; converting it into an invented revenue figure would be a guess dressed as data. Where the honest headline is time saved, error rate, or launch speed, that is what we publish, rather than reverse-engineering a revenue claim.

Five broad types: full store builds, custom component work on an existing store, engineering and operations automation, multi-store and international infrastructure, and ongoing retainers covering maintenance, CRO, and SEO. They are not equally easy to prove — a single-component change attributes cleanly, a full rebuild does not, because everything moved at once. The case studies say which is which.

You often cannot know it with certainty, and any agency claiming otherwise is overstating. What you can check is whether the mechanism is plausible and specific: does the described change logically produce the described metric, was the measurement window long enough to survive seasonality, and does the agency name the other factors at play? Ask directly what else changed in that period. An honest answer usually exists and is usually mentioned.

Partially, and the transferable part is the mechanism rather than the number. If a fit-and-sizing system lifted mobile conversion for a fashion brand, the reusable insight is that fit uncertainty was suppressing conversion — not that you should expect the same percentage. Your baseline, traffic mix, price point, and category all change the size of the effect. Treat published percentages as evidence a lever exists, not as a forecast.

Technical and tracking fixes surface within weeks because they are usually correcting something that was measurably broken. CRO and retention improvements compound over two to three months, since you need enough sessions and orders for a change to be readable. Store builds and migrations are judged on the quarter after launch, not the launch week. Anyone promising a specific percentage on a specific date is guessing.

Yes. We would rather you talk to someone we have worked with than take a case study at face value — the useful questions are about how we behaved when something went wrong, not whether the launch went well. Tell us which engagement type is closest to yours and we will connect you with the most relevant client.