Supermetrics for Amazon S3
Connect Amazon Seller Central to Amazon S3 — Raw Data Lake Storage
Export your Amazon Seller Central data to S3 as structured files. Archive sales, Buy Box performance, and inventory health data.
Why Connect Amazon Seller Central to Amazon S3?
Store your raw Amazon Seller data in Amazon S3 for custom pipelines and full data ownership.
Archive marketplace data
Store Buy Box percentages, refund rates, and account health metrics in S3 for long-term tracking.
Marketplace data lake
Combine Seller Central with Amazon Ads and Shopify data in S3 for unified e-commerce analytics.
Query with Athena
Run SQL on marketplace data in S3 to track product performance without Seller Central dashboards.
How to Connect Amazon Seller Central to Amazon S3
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Amazon Seller Central 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 Amazon Seller Central data begins flowing to S3 automatically as structured files.
Amazon Seller Central Data Format in Amazon S3
Supermetrics delivers your Amazon Seller data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Structured key-value format — ideal for marketplace data.
What to Build with Amazon Seller Central Data in Amazon S3
Once your Amazon Seller data lands in Amazon S3, here's what becomes possible.
Marketplace + ads analysis
Join Seller Central sales with Amazon Ads spend in S3 to calculate true TACoS by product.
Inventory health monitoring
Query Buy Box and refund data in Athena to identify products needing attention.
What Amazon Seller Central Data Can You Pull into Amazon S3?
Supermetrics gives Amazon S3 access to your full Amazon Seller reporting data — metrics and dimensions you already know from the Amazon Seller interface.
Key Metrics
- Ordered product sales
- Units ordered
- Average selling price
- Featured offer (buy box) percentage
- Unit session percentage
- Page views - total
- Sessions - total
- Units refunded
- Refund rate
- A-to-z claims granted
- Feedback received
- Negative feedback received
Key Dimensions
- Product name
- ASIN
- SKU
- Brand
- Marketplace name
- Order status
- Fulfillment channel
- Sales channel
Resources & Guides
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 Amazon Seller Central 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 Amazon Seller Central data as you need without worrying about cost spikes.
Every Order, Every Product
Pull your complete Amazon Seller Central catalog — every order, product, variant, and customer segment. No row limits, no sampling, no date restrictions.
Frequently Asked Questions
How do I connect Amazon Seller Central to Amazon S3 with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Amazon Seller Central 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.
Is my Amazon Seller Central data secure when stored in Amazon S3?
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.
Can I combine Amazon Seller Central data with other sources in S3?
Absolutely. S3 is the standard landing zone for AWS data lakes. Transfer Amazon Seller Central 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.
What Amazon Seller Central fields can I export to Amazon S3?
All standard Amazon Seller Central reporting metrics and dimensions are available, including Ordered product sales, Units ordered, Average selling price, Featured offer (buy box) percentage, Unit session percentage, Page views - total, 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.
How often can Supermetrics deliver Amazon Seller Central data to S3?
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 Amazon Seller Central data lands in your bucket.
Is Buy Box data available in S3?
Yes. Featured offer (Buy Box) percentage is available at the product level in the export.
Can I track refund rates over time?
Yes. Units refunded, refund rate, and A-to-z claims are included for tracking account health.
Also Connect to Amazon S3
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