DataHawk eCommerce Analytics

DataHawk connects through Amazon's official partner integrations rather than scraping listing pages, so sales, traffic, and advertising figures come from your own seller account. That matters when numbers disagree with a third-party estimate: yours win for your own business. Daily SKU-level reporting covers revenue, units, sessions, conversion, and the profitability signals behind them.

Walmart gets the same treatment as Amazon, with sales, ads, SEO, and inventory tracking in one view. DataHawk is an approved Walmart Marketplace solution, which is the difference between a vendor that guesses at Walmart data and one cleared to pull it from the source. Brands selling on both platforms can compare performance without exporting two different report formats.

Sherlock watches your Amazon performance and steps in when something breaks: a sales drop, a buy box loss, an ad campaign that stopped converting. Instead of a chart with a red line, you get a written diagnosis and a suggested next step. It's in beta with waitlist access, so plan around the wait if this is the feature that sells you on the platform.

Ads reporting lives in the same place as organic rank and conversion data, so you can see whether higher spend actually moved your position. Spend, ROAS, and impressions get tracked per campaign and per ASIN, and the platform surfaces where rising ad cost is eating margin. For teams running both Sponsored Products and Sponsored Brands, the unified view removes the manual join between two consoles.

Agencies get a multi-account view that rolls client performance into one screen, then switches to per-client detail in a click. White-label reports carry the agency's branding, and role-based access keeps a client from seeing another client's numbers. AI alerts can route to the account manager instead of everyone, which cuts the noise on a busy week.

The marketplace data API exposes your numbers programmatically, and native connectors cover Snowflake, Power BI, Looker Studio, and Google Sheets. DataHawk also ships an MCP server, so you can point an AI assistant at your Amazon data and ask questions in plain language. For teams with a warehouse, this turns DataHawk into one source among many rather than another dashboard to log into.

Revenue growth hides unprofitable products, and DataHawk puts cost inputs next to sales so margin shows up per SKU. You can spot the ASIN that sells well and still loses money after fees and ad spend. Enterprise accounts get KPI shift detection on top, which flags when a metric breaks its normal range before the monthly review does.