BigQuery + Intelligems
Raw experiment data in BigQuery, next to the GA4 export you already have.
Your GA4 export is already in BigQuery. This puts your experiment data beside it, so every event you already collect can be read by test group.
Intelligems delivers granular experiment data, down to individual visitor sessions, into Google BigQuery through the Data Sharing add-on plan.
Does Intelligems integrate with BigQuery?
Yes, through the Data Sharing add-on. Delivery is automated rather than a manual export, and BigQuery is one of several supported destinations alongside Snowflake, Redshift, Databricks, S3, GCS, and Azure Blob Storage.
What arrives is session-level, not summary-level.
How the integration works
Data Sharing is a paid add-on
Setup runs through the Intelligems team rather than a toggle in the app, and it is priced separately from your plan.
Data moves one direction
BigQuery tables cannot target an Intelligems test, and warehouse data does not appear in Intelligems reporting.
It does not replace the dashboard
Significance, profit, and variation performance are already computed in Intelligems. The warehouse is for the questions the dashboard doesn't answer.
To get started
Talk to your Intelligems account team, or submit a request through support
Confirm the destination, the data scope, and how far back you want history
The Intelligems team configures delivery into your BigQuery project
Available as an add-on
Data Sharing is an add-on to your Intelligems plan. Scope, history, and delivery cadence are set during setup. Email support@intelligems.io for more details.
