Supermetrics for BigQuery
Connect Sprout Social to BigQuery — Social Media Management at Warehouse Scale
Warehouse your Sprout Social cross-network social performance data in BigQuery. Analyze engagement, audience growth, and content performance across all profiles.
Why Connect Sprout Social to BigQuery?
Warehouse your Sprout Social data in BigQuery for unlimited historical analysis and cross-source SQL.
Cross-network benchmarking
Compare engagement rates and audience growth across Facebook, Instagram, X, and LinkedIn in one dataset.
Content strategy optimization
Analyze post type, tags, and content type performance to optimize publishing calendar and creative.
Organic social + paid correlation
JOIN Sprout Social data with paid social spend for unified social channel ROI analysis.
How to Connect Sprout Social 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.
Sprout Social Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Sprout Social data looks like in BigQuery.
Data Freshness & Scheduling
Sprout Social data typically available within 4-6 hours. Daily transfers recommended.
What Sprout Social Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Sprout Social reporting data — metrics and dimensions you already know from the Sprout Social interface.
Key Metrics
- Impressions
- Reach
- Engagements
- Engagement rate (per impression)
- Likes
- Comments
- Shares
- Post link clicks
- Audience (followers)
- Net audience growth
- Video views
- Number of published posts
Key Dimensions
- Profile name
- Post network
- Post type
- Post content type
- Post tags
- Post text
- Post created date
- Author name
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 Sprout Social 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 Sprout Social data as you need without worrying about cost spikes.
Historical Depth
Access your full Sprout Social history — months or years of engagement data, follower growth, and content performance. No artificial date range restrictions.
Frequently Asked Questions
How do I connect Sprout Social to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Sprout Social as the source and BigQuery as the destination. Authorize your Sprout Social 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 Sprout Social data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Sprout Social credentials are encrypted at rest and in transit. Data flows directly from the Sprout Social 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 Sprout Social data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Sprout Social 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 Sprout Social metrics and dimensions are available in BigQuery?
All standard Sprout Social reporting fields are available, including Impressions, Reach, Engagements, Engagement rate (per impression), Likes, 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 Sprout Social 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 cover multiple social networks?
Yes. Sprout Social aggregates data across Facebook, Instagram, X (Twitter), LinkedIn, Pinterest, and more.
Can I analyze by post tags?
Yes. Post tags are available as a dimension for tag-level content performance analysis.
Also Connect to BigQuery
Ready to Connect Sprout Social to BigQuery?
Join 200,000+ companies that use Supermetrics to connect their marketing data. Set up in under two minutes.