Supermetrics for Google Cloud Storage
Connect Amazon Seller Central to Google Cloud Storage — GCP Data Lake Foundation
Export your Amazon Seller Central data to GCS as structured files. Archive sales, Buy Box performance, and inventory health data.
Why Connect Amazon Seller Central to Google Cloud Storage?
Store your raw Amazon Seller data in Google Cloud Storage for custom pipelines and full data ownership.
- Store Buy Box percentages, refund rates, and account health metrics in GCS for long-term tracking.
- Combine Seller Central with Amazon Ads and Shopify data in GCS for unified e-commerce analytics.
- Query marketplace data in GCS to track product performance without Seller Central dashboards.
How to Connect Amazon Seller Central to Google Cloud Storage
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Amazon Seller Central as your source and Google Cloud Storage as your destination.
- 2
Configure your GCS bucket
Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, and select the file format and fields you want to transfer.
- 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 GCS as structured files, ready for BigQuery, Dataflow, or any GCP service.
Amazon Seller Central Data Format in Google Cloud Storage
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 Google Cloud Storage
Once your Amazon Seller data lands in Google Cloud Storage, here's what becomes possible.
Marketplace + ads analysis
Join Seller Central sales with Amazon Ads spend in GCS to calculate true TACoS by product.
Inventory health monitoring
Query Buy Box and refund data with BigQuery to identify products needing attention.
What Amazon Seller Central Data Can You Pull into Google Cloud Storage?
Supermetrics gives Google Cloud Storage 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
7 Supermetrics use cases for ecommerce
Why Supermetrics for Google Cloud Storage?
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 Google Cloud Storage — 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
- Log into the Supermetrics Hub, create a new data transfer, select Amazon Seller Central as the source and Google Cloud Storage as the destination. Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, select your file format and fields, set a schedule, and start the transfer. Supermetrics writes structured files to your bucket automatically — no Cloud Functions or Dataflow pipelines required. For the fastest path to SQL analytics, choose Parquet format and create a BigQuery external table pointing at your GCS prefix: you get instant, zero-copy queries over your marketing data without any loading step.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All data transfers use TLS encryption in transit. In GCS, your data is encrypted at rest by default with Google-managed keys, but you can also use customer-managed encryption keys (CMEK) stored in Cloud KMS or customer-supplied encryption keys (CSEK) that Google never retains. IAM policies and bucket-level permissions control who can read or write, and VPC Service Controls can create a security perimeter that prevents data exfiltration. GCS also supports retention policies and bucket lock for regulatory compliance. Supermetrics does not retain your data after delivery.
- Absolutely. GCS is the central storage layer for the entire Google Cloud analytics stack. Transfer Amazon Seller Central alongside GA4 exports, Google Ads, CRM data, and any other source into the same bucket. Create BigQuery external tables for ad-hoc cross-source queries without loading data, or use Dataflow (Apache Beam) and Dataproc (Spark/Hadoop) for heavy transformations. You can also wire Cloud Functions or Cloud Run to trigger automatically via Eventarc whenever Supermetrics delivers a new file — enabling real-time enrichment, validation, or alerts. Supermetrics supports 170+ sources, all deliverable to the same GCS bucket.
- 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 more. You select exactly which fields to include during setup. Data arrives as clean, structured files in CSV, JSON, or Parquet. Parquet is the recommended choice for GCS-based analytics: BigQuery external tables, Dataflow, and Dataproc all leverage its columnar layout for predicate pushdown and column pruning, which means faster queries and lower processing costs — especially valuable when scanning months of campaign history.
- Transfers can run hourly, daily, weekly, or monthly. Daily is the most common choice — yesterday's Amazon Seller Central data is ready in your bucket each morning. Incremental delivery means only new and updated records are written, keeping file sizes manageable and storage costs near zero. To minimize costs further, enable GCS Autoclass on your bucket: it automatically moves each object between Standard, Nearline, Coldline, and Archive tiers based on access frequency, so recent campaign data stays fast to query while historical data shifts to cheaper storage without any manual lifecycle rules.
- Yes. Featured offer (Buy Box) percentage is available at the product level in the export.
- Yes. Units refunded, refund rate, and A-to-z claims are included for tracking account health.
Also Connect to Google Cloud Storage
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