Retail Media
DataHawk
DataHawk is an ecommerce analytics platform for brands and agencies operating across marketplaces such as Amazon and Walmart. It combines product, keyword, advertising, pricing, content, inventory, and financial data in dashboards and data pipelines, helping teams monitor digital shelf performance, diagnose changes, and automate recurring reporting. It fits organizations that need a shared analytical layer across many products or markets, especially when marketplace data must be connected with business intelligence systems and internal decision workflows.
What it does
DataHawk is an ecommerce and Amazon analytics platform that consolidates marketplace data—keyword rankings, sales estimates, advertising metrics, and catalog health—into dashboards and a data warehouse brands can query. It tracks organic and sponsored positions over time, monitors competitors, and surfaces issues like buy-box loss or content changes that quietly erode sales. For advertising specifically, it pulls Amazon Ads performance alongside organic data so teams can see how paid and organic interact. DataHawk leans toward larger sellers, agencies, and vendors that want raw, exportable data rather than a fully automated bid manager, and it emphasizes data accessibility through APIs and warehouse connections for custom reporting.
Where it fits
DataHawk sits at the analytics layer of retail media, giving brands exportable visibility into marketplace rankings, sales, and ad performance.
Core features
- Keyword rank tracking for organic and sponsored positions
- Sales and market-share estimates across the catalog
- Amazon Ads metrics combined with organic performance
- Catalog and content monitoring for buy-box and listing changes
- API and data-warehouse export for custom reporting
Best for
- Larger Amazon sellers and vendors needing raw data
- Agencies reporting across many marketplace accounts
- Teams blending organic and paid retail-media analysis
Beginner notes
- Connect your Amazon Ads and Seller or Vendor accounts first so organic and paid data sit in one view.
- Pick the keywords and competitors that matter before tracking everything, since broad tracking adds cost and noise.
- Treat third-party sales estimates as directional, and reconcile against your own reports for decisions.