Supermetrics for Amazon Redshift
Connect Amazon Seller Central to Amazon Redshift — Seller Performance Intelligence
Load Amazon Seller Central sales, inventory, and Buy Box data into Amazon Redshift for marketplace analytics.
Why Connect Amazon Seller Central to Amazon Redshift?
Warehouse your Seller Central data in Amazon Redshift for unlimited historical analysis and cross-source SQL.
- Analyze Buy Box win rates and unit session percentages in Redshift to optimize Amazon product listings.
- Join Seller Central organic data with Amazon Ads in Redshift to calculate total ACoS including organic sales.
- Consolidate data from multiple Amazon marketplaces in Redshift for global selling analytics.
How to Connect Amazon Seller Central to Amazon Redshift
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Amazon Redshift as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Redshift cluster endpoint and credentials, choose your 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 Redshift via S3 COPY automatically.
Amazon Seller Central Data Schema in Amazon Redshift
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Seller Central data looks like in Amazon Redshift.
Data Freshness & Scheduling
Amazon Seller Central data is typically available in Redshift within 24-48 hours due to Amazon processing delays.
What Amazon Seller Central Data Can You Pull into Amazon Redshift?
Supermetrics gives Amazon Redshift 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
Why Supermetrics for Amazon Redshift?
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 Redshift — 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 your source and Amazon Redshift as the destination. Authorize your Amazon Seller Central account, provide your Redshift cluster endpoint and credentials, choose your target schema and table naming conventions, select the fields you need, set a schedule, and start the transfer. Supermetrics loads data using optimized S3 COPY commands — the same high-throughput path AWS recommends for bulk ingestion — so no custom ETL pipelines, AWS Glue jobs, or staging buckets are required.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All Amazon Seller Central credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the Amazon Seller Central API to your Redshift cluster — Supermetrics never stores your marketing data on its own servers. On the AWS side, your VPC isolation keeps the cluster off the public internet, IAM policies restrict which roles can access the data, and S3 server-side encryption protects any intermediate staging objects. You retain full control of your security perimeter.
- Absolutely — cross-source analysis is where Redshift shines in the AWS ecosystem. Once Amazon Seller Central data lands in your cluster, you can JOIN it with any other table in the same schema. Need to enrich it with raw event logs or clickstream data sitting in S3? Redshift Spectrum lets you query those external files directly without loading them, so your cluster stays lean while your analysis spans petabytes. Supermetrics supports 170+ data sources that all land in the same Redshift schema, and you can optimize JOIN performance further with DISTKEY and SORTKEY settings on frequently queried columns.
- 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 already loaded into Redshift. Because Redshift uses columnar storage, queries that scan only a few selected metrics out of a wide table are extremely fast — the engine skips unneeded columns at the disk level, reducing I/O and keeping your analytics snappy.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Redshift. Most teams schedule daily transfers so yesterday's final numbers are ready each morning. Incremental loading means only new and changed records are written via optimized S3 COPY commands, keeping cluster load minimal. If you define a SORTKEY on your date column, Redshift can skip entire disk blocks during time-range queries, making your morning dashboards in QuickSight or Tableau load in seconds.
- Yes. Featured offer (Buy Box) percentage is available as a metric for product-level Buy Box win rate analysis.
- Yes. Marketplace name is available as a dimension, and you can load data from multiple marketplaces into the same schema.
Also Connect to Amazon Redshift
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