Supermetrics for Snowflake
Connect Amazon Seller Central to Snowflake — Seller Performance Warehouse
Load Amazon Seller Central sales, inventory, and Buy Box data into Snowflake for marketplace analytics.
Why Connect Amazon Seller Central to Snowflake?
Warehouse your Seller Central data in Snowflake for unlimited historical analysis and cross-source SQL.
- Analyze Buy Box win rates and conversion metrics in Snowflake.
- Join with Amazon Ads to calculate total ACoS including organic sales.
- Consolidate data from multiple marketplaces in one database.
How to Connect Amazon Seller Central to Snowflake
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Snowflake as your destination.
- 2
Authorize and configure
Connect your data source account, enter your Snowflake account identifier and warehouse details, choose your database and schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Snowflake automatically.
Amazon Seller Central Data Schema in Snowflake
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Seller Central data looks like in Snowflake.
Data Freshness & Scheduling
Amazon Seller Central data is typically available in Snowflake within 24-48 hours due to Amazon processing delays.
What Amazon Seller Central Data Can You Pull into Snowflake?
Supermetrics gives Snowflake access to your full Seller Central reporting data — metrics and dimensions you already know from the Seller Central 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
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
7 Supermetrics use cases for ecommerce
Manscaped: ecommerce data warehouse
Why Supermetrics for Snowflake?
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 Snowflake — 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.
Incremental Loading
Only new and updated Amazon Seller Central records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
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
- Log into the Supermetrics Hub, create a new data transfer, select Amazon Seller Central as the source and Snowflake as the destination. Authorize your Amazon Seller Central account, enter your Snowflake account identifier, warehouse, database, and schema details, select the fields you need, set a schedule, and start the transfer. No Snowpipe configuration or custom staging areas required — Supermetrics handles everything end to end. You can even spin up a dedicated Snowflake virtual warehouse for your marketing loads so they never compete with other workloads for compute.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Amazon Seller Central credentials are encrypted at rest and in transit. Data flows directly from the Amazon Seller Central API into your Snowflake account — Supermetrics does not store your marketing data. Snowflake adds its own defense-in-depth: network policies restrict access by IP, role-based access control governs who can query which tables, and all data is AES-256 encrypted at rest with automatic key rotation. If something goes wrong, Snowflake Time Travel lets you restore tables to any point within your retention window.
- That is one of the most powerful reasons to use Snowflake. Once Amazon Seller Central data lands in your account, you can JOIN it with any other table — GA4 exports, CRM data, revenue tables — using standard SQL. Want to enrich your analysis further? Browse the Snowflake Marketplace for ready-to-query third-party datasets (demographics, weather, economic indicators) and combine them with your marketing data instantly — no ETL, no data movement. Supermetrics supports 170+ data sources that all land in the same Snowflake database, and Secure Data Sharing lets you publish governed datasets to partners or other business units without copying a single byte.
- All standard Amazon Seller Central reporting fields 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 metrics and dimensions to transfer during setup, and you can modify the selection at any time without affecting historical data already loaded. Need to test a schema change? Use Snowflake's zero-copy cloning to create an instant clone of your marketing database, experiment freely, and drop the clone when you are done — no extra storage cost, no risk to production tables.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Snowflake. Most users run daily transfers so yesterday's complete data is ready each morning. Incremental loading ensures only new and updated records are transferred, keeping warehouse credits low and load times fast. Because Snowflake separates storage from compute, you can scale your virtual warehouse up during heavy load windows and back down afterward — paying only for the seconds of compute you actually use.
- Yes. Featured offer percentage is available for Buy Box analysis.
- Yes. Marketplace name is available as a dimension.
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