Services
BigQuery Marketing Data Warehouse & Analytics
A BigQuery data warehouse that pulls your ad platform, GA4, and CRM data into one place your team can query and build reports on, instead of stitching together exports.
What we deliver
Discovery and architecture for GA4 raw export, ad cost and campaign data, and CRM, booking, sales, subscription, or payment sources in scope
Identity, IDs, and key design so records can be joined without hiding uncertainty
Workflow implementation using Dataform, dbt, or an agreed orchestration path
Reusable marts for funnel, channel, campaign, and revenue questions
KPI definitions plus data-quality and reconciliation checks
Reporting handoff with cost and access considerations for the warehouse
Optional managed-data retainer for teams that want pipelines monitored and maintained
Who this fits
Good fit
- You're blending data from multiple platforms manually today
- You need a single source of truth for marketing reporting
Not a fit
- You have a handful of channels and GA4 or Looker Studio already covers your reporting needs
What the warehouse must prove
A marketing warehouse is useful when every model has a known source, grain, key, freshness expectation, owner, and reconciliation rule.
Inventory
Record which systems supply raw GA4, ad cost, campaign, CRM, booking, sales, subscription, or payment data and what each source actually owns.
Model
Separate raw lineage from normalized entities and reporting marts; document grain, IDs, joins, currency, timezone, and late-arriving outcomes.
Reconcile
Compare platform, warehouse, and CRM totals for a defined window, then label each difference as timing, attribution, identity, filtering, or unresolved.
Operate
Run freshness, schema, duplicate, and completeness checks with an owner, alert path, access boundary, and documented cost expectation.
Commercial format
Discovery and architecture, then implementation
A discovery and architecture phase, followed by implementation, with an optional managed-data retainer.