Try out Reason Automation's extensive collection of Amazon vendor, advertising, and brand analytics data sets via direct data share. This sample dataset includes anonymized versions of the retail analytics, remittance, operations, ordering, and marketing data your Amazon team needs. Sample data is provided as a static snapshot; customer data is refreshed daily with 14+ day restatement to capture rolling changes from Amazon. No more manual downloads or data engineering for your Amazon team.
** Daily, ASIN-level data where available
** Reporting-ready schemas and documentation, supported by US-based analysts and developers
** Catalogs up to 100,000 ASINs (larger catalogs please contact us)
** Historical data backfill of up to 4 years (as available from Amazon)
** Unlimited data storage -- no more rolling history windows
** Built and optimized by former Amazon vendor managers
AVAILABLE DATASETS
** Retail Analytics: sales, inventory, traffic, forecasting, net PPM, catalog
** Ordering: purchase orders, shipments, defects/chargebacks, disputes
** Remittance: coop invoices, payments, invoice details by agreement type
** Direct fulfillment: operations, performance, order processing summary
** Brand analytics: market basket analysis, repeat purchases, customer demographics (US only)
** Advertising: sponsored ad performance by campaign/placement/keyword, advertised products, impression share. Brand store performance. DSP performance by order, line item, creative
SAMPLE FIELDS
Over 1,700+ fields across datasets, including:
** ASIN
** Date
** Program
** Distributor view (Manufacturing vs. Sourcing)
** Period (daily/weekly/monthly/etc.)
** Units
** Revenue
** Glance views
** Procurable out-of-stock
** Net PPM
** and much, much more
WORKFLOW
1. Connect -- you authorize Reason to access your Amazon vendor, seller, brand analytics, or advertising data.
2. Setup -- we create an optimized Snowflake database of your data, with all available history from Amazon.
3. Data share -- Reason directly shares the database with your Snowflake instance.
4. Maintain -- We manage updates, maintenance, and schema changes from Amazon. You focus on data-driven decision-making.