Connector
Collect Facebook Ads Data into Google BigQuery
Own your Facebook Ads data in Google BigQuery with OWOX Data Marts. Collect granular, analytics-ready Facebook Ads data directly into BigQuery, control schema & refresh logic, and build reliable reporting without vendor lock-in.

The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
S01 · Step 1
Step 1: Connect Google BigQuery as Your Data Storage
Start by connecting your own Google BigQuery project - this is where your Facebook Ads data will live.
- Use your GCP Service Account or Google oAuth
- Keep full ownership of data & access controls

S02 · Step 2
Step 2: Create a Facebook Ads Data Mart
Create a new Data Mart and choose Connector as the definition type.
- Select Facebook Ads as the data source
- Authorize access using Facebook credentials
- No engineering or API work required

S03 · Step 3
Step 3: Select Fields & Configure Data Import
Choose exactly which Facebook Ads data you want to store in BigQuery.
- Select the API endpoint (e.g. ad-account/insights)
- Choose only the fields you need (spend, clicks, impressions, conversions, etc.)
- Define destination dataset & table name (or use defaults)

S04 · Step 4
Step 4: Run the Data Mart (Manual or Scheduled)
Once published, you control how and when data is imported.
- Run Incremental load to fetch today’s data
- Re-runs automatically pull new data + optional lookback window
- Choose Backfill (custom period)

S05 · Step 5
Step 5: Activate Facebook Ads Data Across Your Stack
Your Facebook Ads data is now available in Google BigQuery & OWOX Data Marts– ready to use anywhere.
- Connect the same data mart to Google Sheets or Looker Studio
- Join Facebook Ads data with CRM, GA4, or revenue tables using SQL
- Enable AI Insights to ask questions or receive notifications into Slack, MS Teams or by Email

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