Conversion Tracking
Multi-touch attribution, CPA and CPD tracking, LTV analysis, and custom dashboards — so spend decisions stop being guesses.
Best for
Anyone whose platform numbers disagree with their bank account.
How we run it.
The first job is reconciliation, not instrumentation: we put the platform's conversion count beside the CRM record and the payment ledger for the same period, and until those agree on what a conversion actually is, nothing gets modelled on top of them. The conversion event is then set where the money moves — a funded account, a first-time deposit — rather than at registration, because optimising to a signup teaches the algorithm to go and find people who never pay. We will not build a dashboard on browser-pixel data alone; in these categories a domain swap or an account action breaks client-side tracking overnight, so events fire server-side through CAPI, deduplicated against the pixel, out of infrastructure that stays in your name.
What’s included.
- 01Server-side tracking and CAPI setup
- 02Multi-touch attribution modelling
- 03CPA, CPD, and LTV cohort analysis
- 04Custom dashboards for the whole funnel
Where it has run.
Engagements that included Conversion Tracking, with the number each was measured against.
Questions about Conversion Tracking.
- Why do Meta and Google report more conversions than our CRM?
- Platform-reported conversions routinely exceed the CRM because each platform claims credit under its own attribution window, neither deduplicates against the other, and a browser pixel firing alongside a server event counts the same conversion twice. The usual causes are those overlapping windows, duplicate events, and a conversion set at registration when the business is actually measuring deposits. The fix is to reconcile every platform figure against the CRM or payment record for the same period first, then decide which single system spend decisions are allowed to come from.
- How do you track cost per deposit and lifetime value instead of cost per lead?
- Cost per deposit and lifetime value are tracked by joining the ad platform's click data to the CRM record for the same user, then reporting cohorts by the week the user arrived rather than by the month the spend was booked. That is what separates a channel that looks cheap on cost per lead from one that actually funds accounts. Blended monthly reporting hides the difference, because deposits from one week's traffic land across several later weeks.
Rest of strategy & systems.
All 16 services →Let's find out if we can move your number.
Thirty minutes, no deck. You describe the problem, we tell you whether we have solved something like it and roughly what it would take.
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