Connector
Collect Google Ads Data into Google BigQuery
Own your Google Ads data in Google BigQuery with OWOX Data Marts. Collect granular, analytics-ready data directly into BigQuery, control schema and refresh logic, and reuse it across BI tools and AI Insights.

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Connector downloads
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open-source connector installs via npm
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the platform is open source — star it, fork it, self-host it
S01 · Step 1
Step 1: Create a Google BigQuery Data Storage
Start by connecting your own Google BigQuery project as a data storage.
- Use your own BigQuery project and datasets
- Keep full ownership of Google Ads data
- No third-party data warehouses

S02 · Step 2
Step 2: Create a Google Ads Data Mart
Create a new Data Mart and choose Connector as the definition type.
- Select Google Ads as the data source
- Connect your Google Ads account
- No API coding or engineering required

S03 · Step 3
Step 3: Select Fields & Configure Data Import
Choose exactly which Google Ads data you want to store in BigQuery.
- Select the appropriate Google Ads reporting resource
- Choose fields such as impressions, clicks, cost, conversions, and campaign attributes
- Define the destination dataset and table name in BigQuery

S04 · Step 4
Step 4: Run & Schedule Google Ads Data Collection
Once published, control how and when Google Ads data is imported.
- Incremental load to import current day data
- Backfill (custom period) to load historical data
- All runs are logged and visible in Run History

S05 · Step 5
Step 5: Use Google Ads Data Across BI Tools & AI Insights
Your Google Ads data is now available in Google BigQuery.
- Analyze data in Google Sheets or Looker Studio
- Join Google Ads data with GA4, CRM, or revenue tables
- Enable AI Insights to ask questions or receive alerts

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