Multi-Site GA4 & BigQuery Reporting
Know which websites need attention—and where to look next.
See performance across your websites in one place, then drill into the site behind the change. Shared GA4 definitions and a reusable BigQuery model help your team compare results and spend less time stitching separate reports together.
Relevant work: five GA4 properties centralized through BigQuery for Tectonic.
Find the site behind the change
Start with the portfolio view, then investigate the property and acquisition channels driving the movement.
Make comparisons you can explain
Use shared definitions for engagement and key events, with differences and reporting limits documented.
Reuse the reporting foundation
Replace repeated exports and separate reporting routines with one scheduled model and a consistent report.
What changes for your business
Spend less time assembling comparisons. More time improving the right site.
A portfolio total can hide a problem on one website. The combined view lets you see which sites are contributing, where performance is changing, and which questions deserve investigation before you assign budget or team time.
Judge the result by reporting preparation time and whether your team can identify the site, channel, and agreed key event behind a portfolio change.
What we build
A portfolio view, site detail, and the model behind both.
Check exports and agree on definitions
I review up to 5 web properties, existing export coverage, dataset locations, and event definitions. We agree on up to 10 KPIs, 5 key-event mappings, and which comparisons are meaningful.
Build the BigQuery reporting model
I build the SQL reporting layer using up to 90 days of available native exports. Property identifiers and documented metric rules make the combined data traceable to each source.
Validate portfolio and site comparisons
I reconcile agreed totals with the exports, test each property filter and key-event mapping, and document GA4 interface differences. The report includes up to 10 visuals and 2 consolidated revision rounds.
Schedule refresh and hand over
I configure daily model refresh and deliver the SQL, report, metric dictionary, validation notes, and walkthrough in your accounts. Cloud costs and any rollout beyond these properties remain separate.
Signal Ridge experience
Relevant experience across properties and brands.
Signal Ridge’s relevant experience includes centralizing five GA4 properties through BigQuery for Tectonic and designing reporting for 25+ brands.
Prior reporting engagements. The example above uses fictional data and is not a client result.A clearly scoped first implementation
Multi-Site Reporting Pilot
- Up to five GA4 web properties with existing native exports
- One BigQuery SQL reporting model and daily scheduled refresh
- One Looker Studio report with portfolio and site-detail views
- Up to 10 KPIs, 10 visuals, and 5 key-event mappings
- Up to 90 days of already exported history
- Validation, metric dictionary, walkthrough, and two revision rounds
21 calendar days after complete requirements and access. Software and cloud usage costs are separate.
Is this the right starting point?
A good fit when…
- You manage two to five GA4 web properties.
- Native BigQuery exports already work and contain usable history.
- You can agree on common KPIs and up to five key-event mappings.
- Your team needs both a portfolio view and individual website detail.
How we check the finished system
- Reconcile agreed totals against the available BigQuery exports.
- Test each property filter and the agreed key-event mappings.
- Verify scheduled refresh and explain differences from the GA4 interface.
Work outside this package
New export setup, tracking repairs, cross-site identity resolution, historical data recovery, CRM and advertising integrations, and complex ecommerce models need a separate scope. Google Cloud usage costs are extra.
After the first implementation
Add properties, connect CRM outcomes and advertising costs, or feed the standardized model into recurring executive briefs and performance alerts.
Buy without booking a call
A quick check before you start.
Confirm these three points to continue with Multi-Site GA4 & BigQuery Reporting.
21 calendar days after complete requirements and access. Two revision rounds. Third-party software and usage costs are separate.
Prefer to talk first? Book a call →Before we start
A few practical questions.
Do I need to know whether BigQuery is set up?
The build needs working native GA4 exports. If unsure, send your property list and export details before ordering so I can confirm readiness. Export setup is separate; raw-event history from before the export is not assumed available.
Can you recover history from before the export?
The base package uses up to 90 days of event data already exported to BigQuery. It does not promise recovery of earlier raw events. Any alternative historical source or backfill needs separate validation and scope.
Will the totals exactly match the GA4 interface?
We validate the model against exported data. GA4 interface totals can differ because of reporting identity, modeling, filters, and metric definitions. I document relevant differences instead of forcing a false match.
Can you count the same person once across websites?
Cross-property identity resolution and user deduplication are not included. Property-level users and sessions follow documented definitions. We will not label summed property users as unique people across the whole business.
What can we add after this pilot?
Additional properties, CRM outcomes, advertising costs, richer ecommerce models, or automated briefs can be scoped later. Tracking repair, ongoing monitoring, and cloud usage charges are separate from the fixed build fee.
Let’s look at your reporting
Bring your website list. We’ll check the reporting foundation.
Bring the GA4 property list, your current report, and whether BigQuery exports are running. We’ll confirm usable history, comparable events, and any setup needed before the fixed-scope build.
Buy online when the package fits. Book a call if you need help confirming the right starting point.