Supermetrics for Azure SQL
Connect LinkedIn Ads to Azure SQL Database — B2B Ad Data in Azure
Load LinkedIn Ads campaign, lead gen, and demographic data into Azure SQL Database for B2B advertising analytics.
Why Connect LinkedIn Ads to Azure SQL Database?
Warehouse your LinkedIn Ads data in Azure SQL Database for unlimited historical analysis and cross-source SQL.
- Analyze LinkedIn demographic breakdowns — job title, seniority, company size — with full SQL power in Azure SQL Database.
- Join LinkedIn lead gen data with CRM tables in Azure SQL Database to measure true cost per qualified lead and pipeline impact.
- Azure SQL columnstore storage makes aggregating spend by job function or industry blazingly fast.
How to Connect LinkedIn 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.
LinkedIn Ads Data Schema in Azure SQL Database
Supermetrics creates and maintains clean, typed tables automatically. Here's what your LinkedIn Ads data looks like in Azure SQL Database.
Data Freshness & Scheduling
LinkedIn Ads data is typically available in Azure SQL Database within 3-6 hours of the reporting period end.
What LinkedIn Ads Data Can You Pull into Azure SQL Database?
Supermetrics gives Azure SQL Database access to your full LinkedIn Ads reporting data — metrics and dimensions you already know from the LinkedIn Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- CTR
- CPC
- CPM
- Conversions
- CPA
- Lead form opens
- Leads
- Lead form completion rate
- Video views
- Video completions
- Social actions
- Engagement rate
Key Dimensions
- Campaign name
- Campaign group
- Creative name
- Ad format
- Objective type
- Company name
- Company industry
- Company size
- Job title
- Job function
- Seniority
- Location
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
How to optimize LinkedIn Ads campaigns
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 LinkedIn 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 LinkedIn 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 LinkedIn Ads as the source and Azure SQL Database as the destination. Authorize your LinkedIn 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 LinkedIn Ads credentials are encrypted at rest and in transit. Data flows directly from the LinkedIn 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 LinkedIn 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 LinkedIn Ads reporting fields are available, including Impressions, Clicks, Spend, CTR, CPC, CPM, 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 LinkedIn 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.
- Yes. Lead form opens, completions, completion rates, and cost per lead are all available as metrics in your Azure SQL tables.
- Yes. Job title, job function, seniority, company size, and industry are available as dimensions you can GROUP BY or filter on.
Also Connect to Azure SQL Database
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