BigQuery attribution: run attribution on your BigQuery data
AttriByte reads directly from your Google BigQuery datasets and computes six attribution models where the data already lives. No exports, no pipelines, no data leaves your GCP project.
Setup
Connected in four steps, no pipeline required
AttriByte uses BigQuery's native job API to compute attribution inside your GCP project. No data is exported to external storage.
Create a service account
In GCP IAM, create a service account for AttriByte and grant it the BigQuery Data Viewer and BigQuery Job User roles on your project.
Download and upload credentials
Export the service account JSON key and upload it in the AttriByte connection wizard. Keys are encrypted at rest with AES-256.
Map datasets and tables
Select the dataset, project, and tables that contain your marketing events and conversion records. AttriByte auto-detects common schema patterns.
Attribution runs as BigQuery jobs
AttriByte submits SQL jobs that run on BigQuery compute. Only aggregated result sets leave your GCP project. Raw rows never do.
Data residency
Your BigQuery data never leaves GCP
AttriByte submits SQL jobs to the BigQuery API and collects aggregated query results. Raw event rows, PII, and revenue records stay entirely within your Google Cloud project. You retain full control over data residency, retention, and access policies through your existing GCP IAM setup.
This is especially relevant for teams that route GA4 event streams, Ads data, and CRM exports into BigQuery via Fivetran or dbt. All of that data feeds attribution without leaving the environment where it was governed.
- Service account with Data Viewer + Job User only
- No rows exported outside GCP
- Compatible with BigQuery Authorized Views
- Works with single-region and multi-region datasets
Query path
Your GCP BigQuery project
Event + conversion tables stay here
AttriByte attribution engine
Submits SQL jobs via BigQuery API
AttriByte app
Receives aggregated results only
Attribution models
Six models on your BigQuery data
All six models run simultaneously on the same BigQuery event tables. Compare channel performance across models in one view without running separate export jobs.
First-touch
Full credit to the channel that first brought the buyer into your funnel.
Last-touch
Full credit to the final touchpoint before conversion.
Linear
Credit split evenly across every touchpoint in the journey.
Time-decay
More credit to touchpoints closer in time to the conversion.
U-shaped
40% first-touch, 40% last-touch, 20% distributed across the middle.
W-shaped
Weights first-touch, lead creation, and opportunity creation equally.
Teams that already stream GA4 data into BigQuery via the native export get full cross-channel attribution with no additional tracking setup. AttriByte maps GA4 event schemas automatically and supplements them with CRM conversion data from the same project.
Real-world scenario
GA4 plus CRM data, attributed in BigQuery
A growth-stage B2B company streams GA4 events to BigQuery via the native Google Analytics link. Their CRM data arrives nightly via a Fivetran HubSpot connector. Revenue data comes from a Stripe pipeline managed by their data team.
Previously, attribution was done weekly in Looker Studio using manually joined views. The process took three hours per week and was outdated by the time it reached the demand generation team.
After connecting AttriByte to BigQuery, the team gets intraday attribution across paid search, paid social, organic, and email. They can see that LinkedIn is driving 25% of pipeline but only 8% of last-touch conversions, validating continued investment in top-of-funnel LinkedIn spend.
The BigQuery tables were already there. AttriByte surfaced the insight without a migration. See the full product or compare pricing plans.
Other warehouses
AttriByte supports every major warehouse
BigQuery is one of four fully supported data warehouses. The same attribution engine works on Snowflake, Redshift, and Postgres.
Snowflake attribution
Run attribution on your Snowflake data warehouse.
Redshift attribution
Connect your Amazon Redshift cluster.
Postgres attribution
Use any Postgres-compatible database.
Learn more about the overall warehouse-native attribution approach.
FAQ
BigQuery attribution: common questions
- Does AttriByte store copies of my BigQuery data?
- No. AttriByte submits SQL jobs to the BigQuery API and collects aggregated result sets. Raw event rows and PII stay in your GCP project. Nothing is exported to external storage.
- What BigQuery IAM permissions does AttriByte need?
- The service account needs the BigQuery Data Viewer role (for reading tables) and BigQuery Job User role (for running queries). No write or admin permissions are required.
- Can AttriByte use my existing GA4 BigQuery export?
- Yes. AttriByte has a built-in schema mapper for the GA4 BigQuery export format. Point it at your analytics dataset and it reads the event stream directly without any transformation.
- Does AttriByte work with BigQuery Authorized Views?
- Yes. If your data team has set up Authorized Views to limit the columns the service account can access, AttriByte works within those constraints and only reads what the view exposes.
- How does billing work with BigQuery on-demand pricing?
- AttriByte attribution queries scan only the columns and date partitions required. For most teams the query cost is under $5/month on standard BigQuery on-demand pricing. Flat-rate BigQuery reservations are also supported.
- What plans include BigQuery support?
- BigQuery connectivity is available on Growth ($1,200/mo), Business ($3,500/mo), and Enterprise plans. All plans include all six attribution models and access to Atlas AI analytics.
Connect your BigQuery project today
Start a 14-day free trial and run marketing attribution on your existing BigQuery datasets. No pipeline work required.