Supermetrics for Google Cloud Storage
Connect Google Ads to Google Cloud Storage — GCP Data Lake Foundation
Land your complete Google Ads data in Google Cloud Storage as structured files. Build a cost-effective data lake, feed custom ETL pipelines, feed BigQuery or process with Dataflow.
Why Connect Google Ads to Google Cloud Storage?
Store your raw Google Ads data in Google Cloud Storage for custom pipelines and full data ownership.
- Google Ads only retains search term data for a limited window. GCS lets you archive every search term report indefinitely for pennies per GB.
- GCS is the native BigQuery loading source. BigQuery, Dataflow, Dataproc, Cloud Functions — everything reads from GCS.
- GCS is the native BigQuery loading source. Query files with external tables or load into native tables with a single command.
How to Connect Google Ads to Google Cloud Storage
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Google Ads as your source and Google Cloud Storage as your destination.
- 2
Configure your GCS bucket
Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, and select the file format and fields you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your Google Ads data begins flowing to GCS as structured files, ready for BigQuery, Dataflow, or any GCP service.
Google Ads Data Format in Google Cloud Storage
Supermetrics delivers your Google Ads data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Columnar binary format — compressed and optimized for BigQuery queries. Reduces scan costs by 90% vs CSV.
What to Build with Google Ads Data in Google Cloud Storage
Once your Google Ads data lands in Google Cloud Storage, here's what becomes possible.
BigQuery keyword analysis
Query Google Ads keyword and search term data directly in GCS with BigQuery SQL — no database needed.
Dataflow pipeline
Use GCP Dataflow to transform raw Google Ads files and load analytics-ready tables into BigQuery.
What Google Ads Data Can You Pull into Google Cloud Storage?
Supermetrics gives Google Cloud Storage access to your full Google Ads reporting data — metrics and dimensions you already know from the Google Ads interface.
Key Metrics
- Impressions
- Clicks
- Cost
- Conversions
- Conversion value
- ROAS
- CPA
- CTR
- CPC
- Quality Score
- Impression share
- Search impression share
- Top impression rate
- Conversion rate
- All conversions
Key Dimensions
- Campaign name
- Ad group name
- Keyword
- Search term
- Match type
- Device
- Network
- Location
- Day of week
- Hour of day
- Ad type
- Bidding strategy
Resources & Guides
Google Ads metrics: the KPIs that matter
PPC reporting: extract insights from paid campaigns
Why Supermetrics for Google Cloud Storage?
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 Google Cloud Storage — 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.
Flexible File Formats
Export your Google Ads data as CSV, JSON, or Parquet. Choose the format that fits your downstream tools — whether that's a query engine, ML pipeline, or custom ETL.
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 Google 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 Google Ads as the source and Google Cloud Storage as the destination. Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, select your file format and fields, set a schedule, and start the transfer. Supermetrics writes structured files to your bucket automatically — no Cloud Functions or Dataflow pipelines required. For the fastest path to SQL analytics, choose Parquet format and create a BigQuery external table pointing at your GCS prefix: you get instant, zero-copy queries over your marketing data without any loading step.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All data transfers use TLS encryption in transit. In GCS, your data is encrypted at rest by default with Google-managed keys, but you can also use customer-managed encryption keys (CMEK) stored in Cloud KMS or customer-supplied encryption keys (CSEK) that Google never retains. IAM policies and bucket-level permissions control who can read or write, and VPC Service Controls can create a security perimeter that prevents data exfiltration. GCS also supports retention policies and bucket lock for regulatory compliance. Supermetrics does not retain your data after delivery.
- Absolutely. GCS is the central storage layer for the entire Google Cloud analytics stack. Transfer Google Ads alongside GA4 exports, Google Ads, CRM data, and any other source into the same bucket. Create BigQuery external tables for ad-hoc cross-source queries without loading data, or use Dataflow (Apache Beam) and Dataproc (Spark/Hadoop) for heavy transformations. You can also wire Cloud Functions or Cloud Run to trigger automatically via Eventarc whenever Supermetrics delivers a new file — enabling real-time enrichment, validation, or alerts. Supermetrics supports 170+ sources, all deliverable to the same GCS bucket.
- 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 during setup. Data arrives as clean, structured files in CSV, JSON, or Parquet. Parquet is the recommended choice for GCS-based analytics: BigQuery external tables, Dataflow, and Dataproc all leverage its columnar layout for predicate pushdown and column pruning, which means faster queries and lower processing costs — especially valuable when scanning months of campaign history.
- Transfers can run hourly, daily, weekly, or monthly. Daily is the most common choice — yesterday's Google Ads data is ready in your bucket each morning. Incremental delivery means only new and updated records are written, keeping file sizes manageable and storage costs near zero. To minimize costs further, enable GCS Autoclass on your bucket: it automatically moves each object between Standard, Nearline, Coldline, and Archive tiers based on access frequency, so recent campaign data stays fast to query while historical data shifts to cheaper storage without any manual lifecycle rules.
- 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 BigQuery and Dataflow for cost-efficient queries.
Also Connect to Google Cloud Storage
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