Measurement strategy
01Event taxonomy, identity and consent designed end to end.
Services06 · analytics-growth
Analytics & Growth
The data plumbing and growth model that decisions can trust.
[ Overview ]
We build the data layer growth depends on: clean events, server-side tracking, a warehouse-grade model and dashboards that drive weekly decisions — not vanity reports.
[ Problem → Solution ]
The problem
What usually breaks
- Three tools show three different conversion numbers.
- Last-click attribution is making bad budget decisions.
- Leadership reviews dashboards nobody believes.
- Growth experiments aren't grounded in unit economics.
Our solution
How we fix it
- Event taxonomy + server-side tracking your whole stack agrees on.
- Warehouse-centric model: GA / Meta / CRM joined to revenue.
- Single-pane growth dashboard for leadership reviews.
- Forecast + scenario model so spend decisions get sharper, not louder.
[ What we do ]
The scope, made concrete.
Server-side tracking
02CAPI, GA4, Segment / RudderStack — implemented properly.
Warehouse + modeling
03BigQuery / Snowflake + dbt models joined to revenue.
Growth dashboard
04One pane: acquisition, activation, retention, revenue.
Forecasting
05Driver-based model for spend, headcount and revenue scenarios.
[ Case studies ]
Outcomes we've shipped.
Client · Arclight Mobility
Unified GA + CAPI + warehouse
End-to-end measurement rebuild across 14 markets.
Client · Spruce
Forecast within 4% of actuals
Driver-based revenue model for a Series B SaaS.
Client · Halcyon
Killed $1.2M of wasted spend
Attribution rebuild surfaced channels overreporting by 3×.
[ Process ]
How we ship this engagement.
- Step 01
Audit
Tracking, model, governance and reporting diagnostic.
- Step 02
Design
Event taxonomy, data model and dashboard architecture.
- Step 03
Build
Server-side implementation + warehouse models.
- Step 04
Operate
Weekly readouts and on-call data partnership with leadership.
[ Investment ]