Supermetrics for Amazon S3
Connect HubSpot to Amazon S3 — Raw Data Lake Storage
Export your HubSpot CRM data to Amazon S3 as structured files. Archive deals, contacts, and email engagement for custom analytics and cross-source reporting.
Why Connect HubSpot to Amazon S3?
Store your raw HubSpot data in Amazon S3 for custom pipelines and full data ownership.
- Store deal pipeline snapshots, contact lifecycle changes, and email engagement data in S3 for permanent retention.
- Join HubSpot CRM data with ad spend, web analytics, and revenue data in one S3 data lake.
- Build custom pipeline and funnel reports by querying HubSpot files in S3 with Athena or loading into Redshift.
How to Connect HubSpot to Amazon S3
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select HubSpot 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 HubSpot data begins flowing to S3 automatically as structured files.
HubSpot Data Format in Amazon S3
Supermetrics delivers your HubSpot data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Structured key-value format — ideal for nested CRM data and programmatic processing.
What to Build with HubSpot Data in Amazon S3
Once your HubSpot data lands in Amazon S3, here's what becomes possible.
CRM + ad spend attribution
Join HubSpot deals with ad platform spend data in S3 to calculate true cost per opportunity.
Pipeline trend analysis
Query historical deal stage data in Athena to track pipeline velocity and conversion trends.
What HubSpot Data Can You Pull into Amazon S3?
Supermetrics gives Amazon S3 access to your full HubSpot reporting data — metrics and dimensions you already know from the HubSpot interface.
Key Metrics
- Contacts created
- Deals created
- Deal amount
- Deal close rate
- Closed won deals
- Amount won
- Email open rate
- Email click rate
- Email bounce rate
- Form submissions
- Page views
- Sessions
- MQLs
- SQLs
- Customer count
Key Dimensions
- Deal stage
- Deal pipeline
- Contact lifecycle stage
- Contact source
- Company name
- Company industry
- Owner
- Campaign
- Email name
- Form name
- Landing page
- Lead status
Resources & Guides
Supermetrics + HubSpot integration
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 HubSpot data lands in storage you control. No vendor lock-in, no proprietary formats — standard files you can process with any tool.
Enterprise-Grade Security
SOC 2 Type II certified. GDPR and CCPA compliant. OAuth authentication with encrypted credentials. Regional data hosting available. Your data is protected end-to-end.
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 HubSpot data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from HubSpot. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select HubSpot 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 HubSpot 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 HubSpot reporting metrics and dimensions are available, including Contacts created, Deals created, Deal amount, Deal close rate, Closed won deals, Amount won, 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 HubSpot data lands in your bucket.
- Yes. Supermetrics pulls deal data including stage, amount, close rate, and pipeline. Historical snapshots let you track pipeline changes over time.
- Yes. Open rates, click rates, bounce rates, and form submissions are all available as structured files in S3.
Also Connect to Amazon S3
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