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Amazon & E-commerce Seller Tools

DataHawk

DataHawk is a marketplace analytics platform that unifies Amazon and Walmart sales, advertising, SEO, and profitability data into automated dashboards and insights.

4.5· 30 reviews· via CapterraFounded 2017 · San Francisco, USA

What is DataHawk?

DataHawk is a marketplace analytics platform that centralizes Amazon and Walmart data, including sales, advertising, SEO, and finances, into unified dashboards with automated insights and anomaly alerts. It targets brands, retailers, and agencies that need reliable marketplace data and integrations with BI tools rather than a low-cost entry product.

Best known for: Enterprise-grade, unified Amazon and Walmart marketplace analytics

Key features

  • Unified data collection across Amazon and Walmart marketplaces
  • Automated performance alerts and anomaly detection
  • SKU-level profitability and financial tracking
  • Keyword, category, and competitive market intelligence
  • BI integrations with Snowflake, Power BI, Looker Studio, and Google Sheets
  • White-label reporting for agencies

Who DataHawk is best for

  • Amazon and Walmart brands wanting SKU-level analytics
  • Agencies managing multiple marketplace client accounts
  • Enterprise sellers needing profitability and anomaly monitoring

Ideal team: Mid-market to enterprise ecommerce brands and agencies that sell on Amazon/Walmart and want their marketplace data centralized, monitored, and piped into BI tools.

DataHawk pricing

Growth

Custom

  • Quote-based platform fee scaled to Amazon sales volume
  • Core analytics, dashboards, and automated alerts
  • Credit allowance for tracking products, keywords, and categories
Popular

Professional

Custom

  • Higher platform tier for larger sales volumes
  • Expanded credit pool for deeper category and keyword tracking
  • BI integrations (Snowflake, Power BI, Looker Studio)

Enterprise

Custom

  • Multi-marketplace and multi-account coverage
  • White-label reporting and dedicated expert support
  • Custom data pipelines and professional services

Costs to watch before you commit

  • Pricing is quote-only with no public rate card, so costs are hard to compare upfront
  • Two-part billing: a platform fee plus a separate credits fee that scales with what you track
  • Tracking more products, keywords, or categories can push you into higher credit usage and cost
  • Advanced BI integrations, white-label reporting, and professional services may carry added fees

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