Decisions on data that is actually right.
For teams making spend decisions on broken data. Tracking, attribution and funnel plumbing you can trust.
- Timeline
- 3–6 wks
- Team
- 2–3
- From
- Scoped after a call
- Platforms
- GA4, Meta, server-side
ProblemSound familiar?
- Platforms disagree on revenue
- iOS changes broke attribution
- Nobody trusts the dashboard
We engineerWhat we engineer
Server-side event pipelines, a single event schema across channels, and dashboards that reconcile to the order ledger.
ArchitectureTypical architecture
- Storefront events
- Server-side collector
- Ad platforms (CAPI)
- Warehouse + dashboard
CapabilitiesCapabilities
- Event schema design
- Server-side GTM / CAPI
- Attribution modelling
- Reconciliation reporting
DeliverablesDeliverables
- Tracking plan
- Server-side implementation
- Reconciled dashboard
- Monitoring alerts
ProcessProcess
Discover
We learn the business before the brief: the metric that matters, the constraints, the people involved.
- Kick-off workshop with your decision-makers
- Access to analytics, code and tools
- Agree the one metric this work must move
- Kick-off notes and a shared goal
- Access checklist
- Named pod lead
We learn the business before the brief: the metric that matters, the constraints, the people involved.
What happens- Kick-off workshop with your decision-makers
- Access to analytics, code and tools
- Agree the one metric this work must move
- Kick-off notes and a shared goal
- Access checklist
- Named pod lead
StackStack
WorkWork
Often. We regularly take the engineering layer while a brand or performance agency keeps creative and media. We agree on ownership in week one so nothing falls between teams.
Yes. Most commerce work can start as a productized sprint with a fixed price and fixed deliverables — see Programs. Larger rebuilds are scoped after an audit.
Programs →Always a duplicate theme or staging environment first. Nothing reaches production without a review and a rollback plan.
Start with conversion infrastructure.
