Supermetrics for Azure SQL
Connect Facebook Ads to Azure SQL Database — Enterprise Ad Data in Azure
Warehouse your complete Facebook Ads history in Azure SQL Database. Run T-SQL queries across campaigns, audiences, and creatives. Join with CRM, ERP, and revenue data already in your Azure ecosystem — no custom ETL pipelines required.
Why Connect Facebook Ads to Azure SQL Database?
Your enterprise runs on Azure. Your Facebook Ads data should live there too — queryable with familiar T-SQL, secured by Azure AD, and integrated with the rest of your Microsoft data stack.
- If your organization runs on Microsoft, Azure SQL is the natural home for your marketing data. Power BI connects directly to Azure SQL with live queries. Azure Data Factory can orchestrate additional transformations. SSAS can build OLAP cubes. Every Microsoft BI tool treats Azure SQL as a first-class data source — zero friction.
- Marketing data often contains spend figures, targeting details, and performance metrics that fall under data governance policies. Azure SQL provides TDE by default, Advanced Threat Protection, dynamic data masking, and auditing — all built in. Combine this with Azure AD integration and role-based access control to ensure only the right people see the right data.
- Azure SQL Database uses the same T-SQL engine as SQL Server. Stored procedures, views, CTEs, window functions, PIVOT/UNPIVOT — everything works exactly as expected. Your team can start querying Facebook Ads data on day one without learning a new query language or IDE.
- The real power of warehousing marketing data is cross-referencing it with business data. Match Facebook Ads clicks to CRM leads by UTM parameters and email. Correlate ad spend with product sales from your ERP. Calculate true ROI by joining ad cost with gross margin from your product database. In Azure SQL, these JOINs are just standard T-SQL.
- Azure SQL handles backups, patching, high availability, and geo-replication automatically. Start with a Basic tier for lightweight marketing analytics and scale to Business Critical as your data and query complexity grow. Pay only for what you use — no upfront hardware commitments.
- Power BI's DirectQuery mode hits Azure SQL live, so your dashboards always show the latest data without import schedules or dataset refreshes. Build interactive Facebook Ads dashboards with drill-through filters, time intelligence measures, and DAX calculations — all powered by the same Azure SQL tables Supermetrics keeps up to date.
How to Connect Facebook Ads to Azure SQL Database
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Azure SQL Database as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Azure SQL connection details, 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 Azure SQL automatically.
Facebook Ads Data Schema in Azure SQL Database
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Facebook Ads data looks like in Azure SQL Database.
Data Freshness & Scheduling
Facebook Ads data is typically available in Azure SQL Database within 3-6 hours of the reporting period end. Schedule daily transfers to have yesterday's complete data ready each morning. Historical backfill is available for up to 37 months.
What Facebook Ads Data Can You Pull into Azure SQL Database?
Supermetrics gives Azure SQL Database access to your full Facebook Ads reporting data — metrics and dimensions you already know from the Facebook Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- ROAS
- CPA
- CTR
- CPM
- Conversions
- Reach
- Frequency
- Video views
- Link clicks
- Cost per action
- Purchase value
- Add to cart
Key Dimensions
- Campaign name
- Ad set name
- Ad name
- Age
- Gender
- Placement
- Device
- Country
- Region
- Platform (Facebook / Instagram / Audience Network)
- Objective
- Delivery status
- Instagram placement (Feed / Stories / Reels / Explore)
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
How to optimize your Facebook ad campaigns
Facebook Ads report templates
PPC reporting: extract insights from paid campaigns
Why Supermetrics for Azure SQL Database?
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 Azure SQL Database — 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.
Managed Schema
Supermetrics creates and maintains your Facebook Ads tables automatically. Schema changes from the source API are handled for you — no broken pipelines, no manual migrations.
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 Ads data as you need without worrying about cost spikes.
No Data Limits
Query any date range, any number of campaigns, any level of granularity. No row limits, no sampling, no restrictions on the data you can pull.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Facebook Ads as the source and Azure SQL Database as the destination. Authorize your Facebook Ads account, provide your Azure SQL connection string, choose the fields you want, set a schedule, and start the transfer. Supermetrics writes data using optimized T-SQL bulk operations, so no custom ETL code, stored procedures, or Azure Data Factory pipelines are required — tables are created and managed automatically with full SQL Server compatibility.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Facebook Ads credentials are encrypted at rest and in transit. Data flows directly from the Facebook Ads API to your own Azure SQL Database — Supermetrics does not store your marketing data on its servers. Azure SQL Database provides multiple security layers: Transparent Data Encryption (TDE) encrypts data at rest automatically, Azure AD authentication replaces passwords with enterprise identity, row-level security restricts which teams see which data, and Advanced Threat Protection monitors for anomalous access patterns. Your marketing data gets the same enterprise security as any mission-critical Azure workload.
- That is one of the biggest advantages of storing marketing data in Azure SQL Database. Once Facebook Ads lands in your database, you can JOIN it with any other table — CRM records, ERP data, product catalogs, other ad platforms — using familiar T-SQL, the same query language your team already knows from SQL Server. Because Azure SQL Database is fully compatible with the SQL Server ecosystem, you can connect Power BI, SSRS, Excel, or any ODBC/JDBC tool directly. Supermetrics supports 170+ data sources that can all land in the same database for unified analysis.
- All standard Facebook Ads reporting fields are available, including Impressions, Clicks, Spend, ROAS, CPA, CTR, 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. Azure SQL Database supports columnstore indexes for analytics workloads — if your Facebook Ads tables grow large, adding a clustered columnstore index can speed up aggregation queries by 10x or more, bringing warehouse-class performance to a managed relational database.
- 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. Azure SQL Database scales compute independently of storage, so you can temporarily bump to a higher service tier during peak load windows and scale back down when transfers finish, keeping costs predictable.
- Supermetrics creates clean, properly typed tables in your Azure SQL Database. Dates are stored as DATE, text fields like campaign_name as NVARCHAR, and numeric metrics like impressions and spend as FLOAT or INT. You choose which fields to include during setup, and each transfer creates or updates tables in your chosen database and schema.
- Supermetrics supports backfilling up to 37 months of historical data from the Facebook Ads API, which is the maximum retention window Meta provides. The historical data uses the same table schema as ongoing transfers, so all your T-SQL queries work across the full date range.
- Supermetrics uses incremental loading by default. Each scheduled transfer fetches only new and updated records since the last run, then inserts or updates them in your Azure SQL tables. This keeps transfer times short and database load low. You can also trigger a full refresh for a specific date range when needed.
- Most Facebook Ads datasets are small enough for the Basic or Standard tier — even large accounts with years of history rarely exceed a few GB. The Standard tier (S0 or S1) is sufficient for most marketing analytics workloads. You can always scale up to a higher tier if you add more data sources or heavier query workloads.
- Yes, and this is one of the main reasons organizations choose Azure SQL for marketing data. Use UTM parameters to join Facebook Ads clicks with CRM leads, then extend the chain to revenue tables using deal IDs or customer emails. A typical T-SQL JOIN matches campaign names to CRM lead sources to calculate true cost-per-acquisition through to closed revenue.
- Yes. The Facebook Ads API covers all Meta ad placements including Instagram Feed, Stories, Reels, and Explore. You can filter by placement in your T-SQL queries to isolate Instagram-specific performance, or aggregate across all placements for a unified Meta Ads view.
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