Supermetrics for BigQuery
Connect Amazon Seller Central to BigQuery — Amazon Seller Analytics at Warehouse Scale
Warehouse your Amazon Seller Central sales, inventory, and Buy Box data in BigQuery. Analyze product performance, refund rates, and marketplace trends with SQL.
Why Connect Amazon Seller Central to BigQuery?
Warehouse your Seller Central data in BigQuery for unlimited historical analysis and cross-source SQL.
Buy Box performance tracking
Track Buy Box win rate by ASIN and correlate with pricing changes and sales volume over time.
Refund and feedback analysis
Analyze refund rates and negative feedback by product and marketplace to improve seller health.
Cross-marketplace comparison
Compare product performance across Amazon marketplaces and JOIN with ad spend for true ROAS.
How to Connect Amazon Seller Central to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, 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 BigQuery automatically.
Amazon Seller Central Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Seller Central data looks like in BigQuery.
Data Freshness & Scheduling
Amazon Seller Central data typically available within 24-48 hours. Daily transfers recommended.
What Amazon Seller Central Data Can You Pull into BigQuery?
Supermetrics gives BigQuery 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
Why Supermetrics for BigQuery?
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 BigQuery — 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
How do I connect Amazon Seller Central to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Amazon Seller Central as the source and BigQuery as the destination. Authorize your Amazon Seller Central account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Amazon Seller Central data secure when transferring to BigQuery?
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 to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Amazon Seller Central data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Amazon Seller Central lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Amazon Seller Central metrics and dimensions are available in BigQuery?
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 select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is Amazon Seller Central data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Does it include Buy Box data?
Yes. Featured offer (Buy Box) percentage is available as a metric for product-level analysis.
Can I track by ASIN and SKU?
Yes. Both ASIN and SKU are available as dimensions for product-level granularity.
Also Connect to BigQuery
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