DataHawk review
A broad marketplace analytics suite with daily data refresh and custom pricing.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
DataHawk is a cloud-based ecommerce analytics platform for brands, agencies, and enterprise teams selling through Amazon and Walmart. It brings marketplace sales, advertising, inventory, SEO, product, finance, and digital-shelf data into dashboards and hosted datasets. Its scope suits organizations that need marketplace performance, attribution, profitability, competitive intelligence, and operational monitoring in one system rather than a narrow sales reporting tool.
Pricing is custom, usage-based, and organized around annual plans, with the published Custom plan including Amazon, Walmart, and other marketplace data, executive-ready dashboards, daily performance alerts, AI-guided insights, and custom annual plans. There is no free plan. The platform connects with Amazon Seller Central, Amazon Vendor Central, Amazon Advertising, Walmart Marketplace, and Walmart Connect, while delivery options include Power BI, Looker Studio, Google Sheets, Excel, Snowflake, BigQuery, and Tableau. That mix makes DataHawk a fit for teams that already work across marketplace accounts, business intelligence tools, and data warehouses.
The standout strength is breadth across commercial and operational analysis. DataHawk supports advertising performance and attribution, profit and loss reporting with COGS, fees, marketing, and margin metrics, SKU-, product-, brand-, and ASIN-level profitability, product and keyword tracking, competitive intelligence, digital-shelf monitoring, and alerts for pricing, Buy Box, content, inventory, and performance changes. AI-guided recommendations and issue detection add another layer for teams managing many signals. The trade-off is cadence and buying process: data refreshes daily, and access is based on a custom offer rather than a published entry price. Choose DataHawk for broad Amazon and Walmart enterprise analytics; choose an alternative if continuous refresh, self-serve pricing, or a free plan is essential.
DataHawk pros and cons
- Where it wins
- Profitability reporting across SKUs, products, brands, and ASINs
- Advertising attribution, marketplace sales, and P&L analytics
- BI, warehouse, spreadsheet, and marketplace integrations
- Where it doesn't
- Custom, usage-based pricing requires a sales conversation
- Data refresh is daily rather than continuous
- No free plan is available
DataHawk fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update