Fix the leaks you can actually see.
You cannot optimise what is not measured, and most of what gets measured is wrong. We rebuild tracking across GA4 and the ad platforms so events fire once and deduplicate correctly, add server-side capture where privacy controls and blockers break the client-side signal, and build the dashboard that shows where prospects actually drop. Then we test against the biggest leak first, on a fixed cycle, and publish every result — including the tests that lose, because those are the ones that stop you repeating a mistake.
Clean measurement foundation
GA4 and ad platform pixels configured to fire once, tag correctly, and deduplicate, so the numbers your team makes decisions on are numbers that survive being checked.
Server-side tracking
Server-side events recover the conversions client-side pixels miss. Privacy controls, blockers, and slow loads all cause silent data loss, and the loss is not random — it is concentrated in exactly the segments you most want to understand.
Funnel and behaviour analysis
Heatmaps and session recordings layered over drop-off data show not just where users leave but what they were doing immediately before. That gap is the difference between a hunch and a fix.
Structured A/B testing
One hypothesis, one test, one clean read. Checkout flow, form length, CTA placement. Run on a monthly cycle with a pre-agreed sample size, so a result gets called by the maths rather than by whoever is watching the dashboard on day three.
- GA4 + ad pixel setup with deduplicated event tracking
- Server-side tracking implementation
- Funnel analysis and drop-off diagnosis
- Heatmap and session recording review
- A/B test roadmap and monthly test execution
- Performance dashboard with funnel-stage visibility
The engagement
Instrument
Rebuild GA4, pixel, and server-side tracking until every conversion event is captured once and only once.
Diagnose
Analyse funnel drop-off, heatmaps, and session recordings to rank the leaks by how much revenue sits behind each one.
Test
Run a structured test against the biggest leak on a monthly cycle, call it against a pre-agreed sample size, and roll the winners in.
Common questions
Most GA4 setups we audit have duplicated events, missing conversions, or broken cross-domain tracking. We rebuild the foundation first, because a beautiful dashboard on broken data just tells confident lies.
The first test ships within the first monthly cycle after tracking goes live. We will not promise you a specific lift — the honest answer is that it depends on your traffic, your margin, and how bad the current experience is — but we report every test result and the reasoning behind the next one.