Supermetrics for Google Cloud Storage
Connect Google Analytics 4 to Google Cloud Storage — GCP Data Lake Foundation
Export your GA4 web analytics to Google Cloud Storage as structured files. Build a data lake with traffic, conversion, and engagement data for custom analysis.
Why Connect Google Analytics 4 to Google Cloud Storage?
Store your raw GA4 data in Google Cloud Storage for custom pipelines and full data ownership.
- GA4 retains data for limited periods. GCS gives you permanent ownership of every session, pageview, and conversion.
- Run SQL against your GA4 data in GCS using BigQuery — no BigQuery export needed, no Google Cloud dependency.
- Join GA4 web data with ad platform spend, CRM records, and product data in one GCS-based data lake.
How to Connect Google Analytics 4 to Google Cloud Storage
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Google Analytics 4 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 Analytics 4 data begins flowing to GCS as structured files, ready for BigQuery, Dataflow, or any GCP service.
Google Analytics 4 Data Format in Google Cloud Storage
Supermetrics delivers your GA4 data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Columnar binary format — optimized for BigQuery queries and Spark processing.
What to Build with Google Analytics 4 Data in Google Cloud Storage
Once your GA4 data lands in Google Cloud Storage, here's what becomes possible.
BigQuery analytics
Query GA4 session and conversion data directly in GCS with BigQuery SQL — no warehouse needed.
Attribution modeling
Combine GA4 traffic data with ad spend from GCS to build custom attribution models in Spark or Vertex AI.
What Google Analytics 4 Data Can You Pull into Google Cloud Storage?
Supermetrics gives Google Cloud Storage access to your full GA4 reporting data — metrics and dimensions you already know from the GA4 interface.
Key Metrics
- Sessions
- Users
- New users
- Active users
- Views
- Engagement rate
- Average engagement time
- Bounce rate
- Conversions
- Conversion rate
- Revenue
- Event value
- Event count
- Transactions
- Ecommerce purchases
Key Dimensions
- Page path
- Source / Medium
- Campaign
- Channel group
- Device category
- Browser
- Country
- City
- Landing page
- Referrer
- Event name
Resources & Guides
Google Analytics 4 guide for marketers
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.
Full Data Ownership
Your Google Analytics 4 data lands in storage you control. No vendor lock-in, no proprietary formats — standard files you can process with any tool.
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 Analytics 4 data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Analytics 4 dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Google Analytics 4 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 Analytics 4 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 Analytics 4 reporting metrics and dimensions are available, including Sessions, Users, New users, Active users, Views, Engagement rate, 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 Analytics 4 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.
- The GA4 BigQuery export provides raw event-level data. Supermetrics delivers aggregated reporting data to GCS in the metrics and dimensions you choose — cleaner, smaller, and ready for analysis without transformation.
- Yes. Supermetrics pulls all standard and custom events from GA4. You select which events and dimensions to include during setup.
Also Connect to Google Cloud Storage
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