Supermetrics for Amazon S3
Connect Google Analytics 4 to Amazon S3 — Raw Data Lake Storage
Export your GA4 web analytics to Amazon S3 as structured files. Build a data lake with traffic, conversion, and engagement data for custom analysis.
Why Connect Google Analytics 4 to Amazon S3?
Store your raw GA4 data in Amazon S3 for custom pipelines and full data ownership.
- GA4 retains data for limited periods. S3 gives you permanent ownership of every session, pageview, and conversion.
- Run SQL against your GA4 data in S3 using Athena — no BigQuery export needed, no Google Cloud dependency.
- Join GA4 web data with ad platform spend, CRM records, and product data in one S3-based data lake.
How to Connect Google Analytics 4 to Amazon S3
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Google Analytics 4 as your source and Amazon S3 as your destination.
- 2
Configure your S3 bucket
Enter your S3 bucket name, region, and AWS credentials. Choose the file format (CSV, JSON, or Parquet) and the folder prefix for your data.
- 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 S3 automatically as structured files.
Google Analytics 4 Data Format in Amazon S3
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 Athena queries and Spark processing.
What to Build with Google Analytics 4 Data in Amazon S3
Once your GA4 data lands in Amazon S3, here's what becomes possible.
Athena web analytics
Query GA4 session and conversion data directly in S3 with Athena SQL — no warehouse needed.
Attribution modeling
Combine GA4 traffic data with ad spend from S3 to build custom attribution models in Spark or SageMaker.
What Google Analytics 4 Data Can You Pull into Amazon S3?
Supermetrics gives Amazon S3 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 Amazon S3?
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 Amazon S3 — 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 Amazon S3 as the destination. Provide your S3 bucket name, region, and AWS credentials (access key + secret key or IAM role ARN). Choose your metrics, set a schedule, and start the transfer. Supermetrics writes structured files directly to your S3 bucket — no custom scripts needed. For optimal downstream analytics, choose Parquet format: it's columnar, compressed, and works natively with Athena, Redshift Spectrum, and AWS Glue crawlers without schema definition.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. Data transfers are encrypted in transit via TLS. Once in S3, your data inherits AWS-native security controls: server-side encryption (SSE-S3, SSE-KMS, or SSE-C), S3 bucket policies to restrict access by IAM principal or IP range, S3 Object Lock for immutable audit trails, and optional VPC endpoints so traffic never leaves the AWS backbone. You can also enable S3 Access Logging and CloudTrail data events to track every read and write to your marketing data. Supermetrics does not retain your data after delivery.
- Absolutely. S3 is the standard landing zone for AWS data lakes. Transfer Google Analytics 4 alongside Google Ads, GA4, CRM exports, and any other data into the same bucket, then query across all sources with Amazon Athena using standard SQL — no loading step required. For automated processing, configure S3 Event Notifications to trigger a Lambda function whenever Supermetrics delivers a new file, or run an AWS Glue crawler to update your Data Catalog automatically. Supermetrics supports 170+ sources, all deliverable to the same S3 prefix structure for a clean, partitioned data lake.
- All standard Google Analytics 4 reporting metrics and dimensions are available, including Sessions, Users, New users, Active users, Views, Engagement rate, and many more. You choose exactly which fields to include during transfer setup. Data arrives as clean, structured files in CSV, JSON, or Parquet format. Parquet is especially powerful for S3-based analytics: Athena and Redshift Spectrum can push predicate filters down to the file level, meaning queries scan only the columns and row groups they need — dramatically reducing both query time and per-query cost.
- You can schedule transfers hourly, daily, weekly, or monthly. Most teams use daily transfers for a reliable morning-ready dataset. Supermetrics handles incremental delivery so only new and updated records are written, keeping your S3 costs low and file sizes manageable. For real-time reaction workflows, pair your daily Supermetrics delivery with an S3 Event Notification that triggers a Lambda function — for example, to recalculate budget pacing or fire an alert the moment fresh Google Analytics 4 data lands in your bucket.
- The GA4 BigQuery export provides raw event-level data. Supermetrics delivers aggregated reporting data to S3 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 Amazon S3
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