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Side-by-side record

DataHawk vs. Fathom

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Fathom starts at $15 per seat, versus DataHawk at $29.

Full comparison

DataHawkfrom $29 per month
Fathomfrom $15 per user/month, billed annually (Team plan, 2+ users)
Audyense Score32AS*Low76AS*Strong
PositioningDataHawk is a unified marketplace analytics tool designed for ecommerce businesses selling on platforms like Amazon and Walmart.Free AI notetaker for Zoom, Teams, and Google Meet
Free tierYesYes
DeploymentCloud / SaaSCloud / SaaS
Best fitSMB, Mid-market, EnterpriseStartup, SMB, Mid-market
Pricing plans
  • FreeFree
  • Basic$12
  • StarterFree
  • Growth$99
  • Team$15
Unified marketplace dataYesDocumented in the sourced profile.
AI-Powered InsightsYesDocumented in the sourced profile.
Executive-ready dashboardsYesDocumented in the sourced profile.
Automated Data CollectionYesDocumented in the sourced profile.
Customizable analytics platformYesDocumented in the sourced profile.
Expert ecommerce supportYesDocumented in the sourced profile.
Marketplace AnalyticsYesDocumented in the sourced profile.
Analytics SoftwareYesDocumented in the sourced profile.
Integrations verified4+
Aggregate rating · No reviews yet5.0 · 6.9k reviews
Integrations
LinkedInFacebookInstagramAPI
ZoomMicrosoft TeamsGoogle MeetSlack
Security & compliance
SOC 2 Type IIGDPRHIPAA
Pros
  • Documented capability: Unified marketplace data
  • Documented capability: AI-powered insights
  • Profile names a concrete ICP: DataHawk is recommended for brands and agencies selling on Amazon, Walmart, and other marketplaces who want to grow revenue and improve profitability
  • Public profile names LinkedIn, Facebook, Instagram as connected workflow surfaces
  • Free plan is fully featured for unlimited recordings/transcripts
  • Very high user satisfaction and ease-of-use scores on G2
  • Deep CRM and calendar integrations, plus MCP/API access
Cons
  • Some pricing or higher-tier terms are not publicly itemized
  • Fit is strongest for the stated SMBs, Mid-market, Enterprise audience rather than every team
  • Named integrations should be validated against the team's exact plan and workflow
  • Reported outcomes and vendor claims should be validated with the buyer's own data
  • Managing multiple notetaker bots in one meeting can be clunky per reviews
Visit DataHawk ↗Visit Fathom ↗