Analytics
Measurement only matters if it changes what you do next. We make your data useful.
Measurement Strategy
Tracking plans, events and properties, privacy-aware guardrails.
Outcomes: Clean data that supports attribution and testing.
Deliverables: Tracking plan, governance rules, consent logic, QA steps.
Notes: Use plain names, map events to objectives, keep scopes tidy.
Dashboards
Channel health, conversion funnels, cohort views, board-safe rollups.
Outcomes: A single place to see what is working and why.
Deliverables: Executive rollup, marketing operations board, CRO dashboard, lifecycle dashboard.
Design: Few charts, clear labels, decisions attached to each view.
Attribution
MMM-ready inputs, channel weighting, incrementality testing plans.
Outcomes: Spend with fewer doubts and fewer silos.
Deliverables: Attribution summary, input map, test design for paid and lifecycle.
Focus: Reduce double counting, clarify assist value, align teams on read rules.
Experimentation
Backlogs, sample size planning, readouts, action templates.
Outcomes: A culture of shipping small, learning fast, and compounding wins.
Deliverables: Experiment library, readout templates, decision tree, archive.
Guardrails: Define success before launch, stop early only with reason, record why.
Metrics we watch
Spend to revenue ratio, blended ROAS, contribution margin, assisted conversions, cohort retention, velocity to first value.
Data hygiene quick wins
Small fixes that create immediate clarity.
Remove stale pixels and duplicate events.
Standardize naming and property keys.
Instrument proof modules and CTAs with data attributes.