Supermetrics for BigQuery
Connect Facebook Insights to BigQuery — Facebook Page Analytics at Warehouse Scale
Warehouse your Facebook Insights page performance, post engagement, and audience demographics in BigQuery for organic social strategy and cross-platform analysis.
Why Connect Facebook Insights to BigQuery?
Warehouse your Facebook Insights data in BigQuery for unlimited historical analysis and cross-source SQL.
Organic content performance
Track post engagement, reach, and virality by post type and topic over unlimited date ranges.
Audience demographics analysis
Analyze page followers and post engagement by country, age, and gender for content targeting.
Organic vs paid Facebook
JOIN Insights data with Facebook Ads for unified organic + paid Facebook performance analysis.
How to Connect Facebook Insights to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Facebook Insights Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Facebook Insights data looks like in BigQuery.
Data Freshness & Scheduling
Facebook Insights data typically available within 4-6 hours. Daily transfers recommended.
What Facebook Insights Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Facebook Insights reporting data — metrics and dimensions you already know from the Facebook Insights interface.
Key Metrics
- Page impressions (unique)
- Page post engagements
- Post impressions (unique)
- Post reactions (total)
- Post likes
- Post comments
- Post shares
- Page views
- Page followers
- Video views
- Viral reach amplification
- Link clicks
Key Dimensions
- Post type
- Post message
- Post created time
- Post ID
- Profile
- Country
- City
- Gender
- Age
- Locale
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Facebook Insights records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Facebook Insights data as you need without worrying about cost spikes.
Historical Depth
Access your full Facebook Insights history — months or years of engagement data, follower growth, and content performance. No artificial date range restrictions.
Frequently Asked Questions
How do I connect Facebook Insights to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Facebook Insights as the source and BigQuery as the destination. Authorize your Facebook Insights account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Facebook Insights data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Facebook Insights credentials are encrypted at rest and in transit. Data flows directly from the Facebook Insights API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Facebook Insights data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Facebook Insights lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Facebook Insights metrics and dimensions are available in BigQuery?
All standard Facebook Insights reporting fields are available, including Page impressions (unique), Page post engagements, Post impressions (unique), Post reactions (total), Post likes, Post comments, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is Facebook Insights data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Does it include audience demographics?
Yes. Country, city, gender, age, and locale are available for demographic-level analysis.
Can I track viral reach?
Yes. Viral reach amplification is available to measure organic sharing impact.
Also Connect to BigQuery
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