Connect Google Ads to Azure Blob Storage — Azure Cloud Data Foundation

Log into the Supermetrics Hub, create a new data transfer, select Google Ads as the source and Azure Blob Storage as the destination. Enter your storage account name and provide authentication via a shared access signature (SAS token) or storage account key. Choose your container, blob prefix, file format, metrics, and schedule, then start the transfer. Supermetrics writes structured files directly to your Azure storage — no Azure Data Factory pipelines to build. Once your data lands, you can mount the container as a Databricks external location or point Azure Synapse serverless SQL pools at it for instant, zero-copy querying.

Supermetrics is SOC 2 Type II certified and GDPR compliant. All transfers are encrypted in transit via TLS. In Azure, your data benefits from multiple layers of protection: server-side encryption at rest (SSE with platform-managed or customer-managed keys in Azure Key Vault), Entra ID (Azure AD) role-based access control, shared access signatures scoped to specific containers or time windows, and private endpoints to keep traffic off the public internet. Azure also offers immutable blob storage for compliance-grade audit trails and Microsoft Defender for Storage to detect anomalous access patterns. Supermetrics does not store your data after delivery.

Yes. Azure Blob Storage is the standard landing zone for the Microsoft analytics stack. Transfer Google Ads alongside Google Ads, GA4, CRM exports, and any other source into the same storage account. From there, Azure Synapse serverless SQL pools let you query across all sources with T-SQL — no data loading required. You can also trigger Azure Functions via Event Grid whenever Supermetrics delivers a new file, automating downstream enrichment or loading into a Databricks lakehouse. Supermetrics delivers 170+ marketing data sources to Azure, so your entire marketing data lake lives in one place.

All standard Google Ads reporting metrics and dimensions are available, including Impressions, Clicks, Cost, Conversions, Conversion value, ROAS, and more. You select exactly which fields to include, and data arrives as structured files — CSV, JSON, or Parquet — ready for processing by any Azure analytics service. Parquet is recommended for Synapse and Databricks workloads because it enables predicate pushdown and column pruning, meaning queries read only the data they need and run significantly faster.

Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, weekly, or monthly deliveries. Most teams schedule daily transfers so yesterday's Google Ads data is ready each morning. Incremental loading means only new and changed records are written, keeping transfers fast and storage costs low. To optimize costs further, use Azure's tiered storage: keep recent data in the Hot tier for fast access, automatically move older campaign history to Cool (30+ days) or Archive (180+ days) tiers using lifecycle management policies, and pay a fraction of the cost for long-term retention.

Yes. During setup you can trigger a backfill of historical data from the Google Ads API. The backfill uses the same file format and folder structure as ongoing transfers.

Supermetrics writes files organized by date into the prefix you configure. This date-based partitioning works natively with Synapse and Data Factory for cost-efficient queries.