Supermetrics for Amazon S3
Connect Google Ads to Amazon S3 — Raw Data Lake Storage
Land your complete Google Ads data in Amazon S3 as structured files. Build a cost-effective data lake, feed custom ETL pipelines, query with Athena, or load into Redshift.
Why Connect Google Ads to Amazon S3?
Store your raw Google Ads data in Amazon S3 for custom pipelines and full data ownership.
- Google Ads only retains search term data for a limited window. S3 lets you archive every search term report indefinitely for pennies per GB.
- S3 is the universal input for data engineering. Spark, Airflow, dbt, Glue, Lambda — everything reads from S3.
- Run SQL queries directly on your S3 files using Amazon Athena. No warehouse, no infrastructure, pay only per query.
How to Connect Google Ads to Amazon S3
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Google Ads 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 Ads data begins flowing to S3 automatically as structured files.
Google Ads Data Format in Amazon S3
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 Athena queries. Reduces scan costs by 90% vs CSV.
What to Build with Google Ads Data in Amazon S3
Once your Google Ads data lands in Amazon S3, here's what becomes possible.
Athena keyword analysis
Query Google Ads keyword and search term data directly in S3 with Athena SQL — no database needed.
Glue ETL to Redshift
Use AWS Glue to transform raw Google Ads files and load analytics-ready tables into Redshift.
What Google Ads Data Can You Pull into Amazon S3?
Supermetrics gives Amazon S3 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 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.
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 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 Ads 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 Ads reporting metrics and dimensions are available, including Impressions, Clicks, Cost, Conversions, Conversion value, ROAS, 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 Ads data lands in your bucket.
- 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 Athena and Glue for cost-efficient queries.
Also Connect to Amazon S3
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