Four practices.

Knowing what actually happened.

Google Ads reports one number of conversions. GA4 reports another. Meta reports a third. Finance reports a fourth — usually the lowest, and usually the correct one. Each platform measures honestly from inside its own walls, and none can see the others.

First-party data warehousing

A warehouse the client owns, holding their own data rather than a copy inside somebody else’s reporting tool. Extracted on a schedule, stored with full history, raw kept alongside modelled so any figure traces back to its row.

Marketing attribution

We model spend against outcomes using your conversion records, not each platform’s self-reported figures. Assumptions are published next to the results: attribution is a model, and one whose limits are undocumented gets over-trusted by exactly the people who should not.

Reporting pipelines

Read-only pipelines from Google Ads, GA4, Search Console and Meta Ads into that warehouse. Read-only in every case: we pull reporting data out, we do not create, edit, pause or spend against your ad accounts.

Stores, and the apps that extend them.

We set up and build Shopify stores: theme development, product and collection structure, checkout configuration, and the stack around it. Tracking is configured as part of the build rather than bolted on later — the usual reason a store’s numbers cannot be trusted in its first year.

We also build applications for the platform, including our own. Shipping to the App Store means living inside Shopify’s review requirements, data-handling rules and API deprecation cycles, which goes straight back into client work.

Design that survives engineering.

Flows first, then screens, then the component system that keeps it consistent once we have gone. We design against what is actually being built — the platform, the data available, the team maintaining it — because a design that ignores those gets rebuilt in the first month by whoever has to ship it.

Where the engagement includes measurement, events are specified during design, while somebody is already deciding what each screen is for. Instrumenting afterwards is guesswork about your own intentions.

What to build, and what to stop.

“Digital transformation” means nothing on its own, so here is what it means here. A business accumulates systems over years, mostly by adding rather than replacing. We map what is in place, find where work is being done twice, and write a sequence for fixing it that a real team can execute alongside their existing job.

Consultancy is the same thing smaller: one decision, a second opinion, a stack to choose between, a build somebody wants reviewed before committing. We are willing to be hired to say a project should not go ahead.