Service 01DATA & STRATEGY

Marketing data your CFO will sign off.

A real data layer — warehouse, pipelines, attribution and forecast — built by operators who've run $16M+ in instrumented media spend.

Start a data engagement →See the work
What's included

The build.

Marketing data warehouse

BigQuery (or your warehouse) wired to Funnel.io for all paid, organic, CRM and product data — one schema, one nightly refresh.

Attribution model

Last-click out, MMM-lite in. Channel and campaign-level contribution your CFO will defend to the board.

Reporting layer

GA4, Looker Studio and PowerBI dashboards built on the warehouse — not slide decks rebuilt each Monday.

ICP & forecast modelling

Segments, LTV bands and a 12-month forecast tied to channel-level spend assumptions.

AI-assisted ops

Recurring reporting and QA tasks automated via N8N / Make and LLM workflows. ~60% reduction in time-on-task observed.

Governance & QA

Model risk, fairness testing and event-tracking QA so the numbers in the deck match the numbers in the warehouse.

Proof

Numbers we've already put on paper.

60%

reduction in operating time for recurring reporting tasks (Flo Health, GenAI strategy).

+132%

revenue from Search after a full data + bidding rebuild on a major West End account.

$16M+

annual media spend instrumented across BigQuery + Funnel.io pipelines.

Process

How an engagement runs.

01 / Phase

Discover

Stack audit, source-of-truth gaps, and the questions the business actually needs answered.

02 / Phase

Build

Pipelines, warehouse schema and the first three dashboards — typically live in week 2–4.

03 / Phase

Run

Weekly review, monthly forecast update, quarterly model retrain.

04 / Phase

Optimise

Move from descriptive to predictive — LTV modelling, MMM, and AI-assisted reporting.

FAQ

What teams ask first.

Which warehouse do you use?
Default is BigQuery, but we run on Snowflake, Redshift or PostgreSQL when that's already in place. The model is warehouse-agnostic.
Do we need to throw out our current reporting?
No. We'll usually keep the surfaces (Looker Studio, PowerBI) and rebuild the layer underneath so the numbers reconcile.
How long until first dashboard?
Two to four weeks from kickoff to a live, signed-off dashboard with the top five business questions answered.
Do you handle implementation or just strategy?
Both. We implement the pipelines and run them — the strategy work is grounded in the data we've already stood up.

Get the data layer right.

Tell us about your stack — we'll come back within a week with a sample warehouse + attribution plan tailored to your business.

Book an intro call →How we engage