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Services
Analytics & Attribution
Measurement stacks that explain what actually drove revenue.
Overview
What this system covers
From event taxonomy to incrementality design — reporting operators can act on, not vanity dashboards.
Problems addressed
Where growth usually stalls
- Platform ROAS and finance numbers disagree
- Unclear conversion definitions across teams
- Scale decisions made without calibration
Approach
How we plan the work
- Define shared revenue and conversion events
- Reconcile platform and order / CRM data weekly
- Calibrate with incrementality tests where budget allows
Deliverables
What you receive
Concrete operating artefacts — not vague strategy decks.
- Tracking plan and event taxonomy
- Reporting model and decision scorecard
- Incrementality test design when appropriate
Measurement
How success is read
- Event quality and coverage
- Channel contribution with stated assumptions
- Test readouts with confidence bounds
Reporting
How decisions are shared
- Executive measurement brief
- Reconciliation notes
- Decision log for scale / hold / cut
Limitations
What we will not over-promise
Honest boundaries protect budget and trust. Outcomes still depend on offer, creative, landing experience, tracking quality, sales follow-up, and platform delivery.
- Attribution models are estimates, not absolute truth
- Privacy and platform changes affect signal quality
- We do not claim perfect multi-touch certainty
Related
Connected services
Next step