Introduction to Adzviser and Google BigQuery
Adzviser lets you export your marketing and sales data directly to Google BigQuery — on-demand or on an automated schedule — for powerful SQL-based analytics.
What is Google BigQuery?
Google BigQuery is a fully managed, serverless data warehouse from Google Cloud. It's designed for fast SQL queries over massive datasets. With Adzviser's BigQuery integration, you can:
- Run SQL queries on your marketing data at scale
- Build dashboards and reports with your favorite BI tools
- Join marketing data with your own business data for deeper insights
- Automate daily, weekly, or monthly data exports with zero maintenance
How Does Adzviser Export to BigQuery?
Adzviser's setup flow guides you through the entire process in 6 easy steps:
- Create a pipeline — name it and choose Google BigQuery as your destination
- Connect your BigQuery project — provide your GCP service account JSON key
- Select a data source — Google Ads, Meta Ads, Shopify, and other supported platforms
- Choose accounts — pick which ad accounts or properties to export
- Configure metrics and breakdowns — select the data fields you need
- Choose a mode — run a one-time backfill or schedule automatic exports
Adzviser organizes data into datasets for each workspace and data source, with tables for the source or its report segments. See Data storage and refresh for naming examples, repeat-export behavior, and options for retaining earlier data.
Backfills and scheduled exports share your account's monthly row capacity across S3 and BigQuery. Check MAR in Usage metrics on Set Up; see how rows are counted and what to do at the limit.
Why Export to Google BigQuery?
| Feature | Manual CSV Export | Adzviser → BigQuery Pipeline |
|---|---|---|
| Automated scheduling | ❌ | ✅ |
| Data source coverage | Export separately from each platform | View supported sources |
| SQL-based analytics | ❌ | ✅ |
| Multiple accounts at once | ❌ | ✅ |
| Historical backfilling | ❌ | ✅ |
Example Use Cases
- SQL Analytics: Run ad-hoc queries on your Google Ads or Meta Ads data using standard SQL
- Cross-Channel Reporting: Join ad platform data with CRM or ecommerce data in BigQuery
- Custom Dashboards: Connect BigQuery to your BI tools for live dashboards
- Machine Learning: Feed marketing data into BigQuery ML for predictive analytics and forecasting
Ready to get started? Follow our Setup Guide to create your first BigQuery pipeline.