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DataHawk vs. Starnus

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

DataHawk starts at $29 per seat, versus Starnus at $50.

Full comparison

DataHawkfrom $29 per month
Starnusfrom $50 EUR per month (Pro)
Audyense Score32AS*Low44AS*Low
PositioningDataHawk is a unified marketplace analytics tool designed for ecommerce businesses selling on platforms like Amazon and Walmart.AI SDR platform that runs outbound prospecting, enrichment, outreach, and follow-ups on autopilot.
Free tierYesNo
DeploymentCloud / SaaSCloud / SaaS
Best fitSMB, Mid-market, EnterpriseStartup, SMB, Mid-market
Pricing plans
  • FreeFree
  • Basic$12
  • StarterFree
  • Growth$99
  • Pro$50
  • Pro+$125
  • Ultra$250
  • Managed Service$900
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 · 2 reviews
Integrations
LinkedInFacebookInstagramAPI
SmartleadUnipileHubSpotPerplexity
Security & compliance——
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
  • Fast automated ICP and prospect-list generation
  • Combines email and LinkedIn outreach in one flow
  • Cheaper than enterprise AI-SDR alternatives
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
  • No independent review-platform rating found to verify real-world satisfaction
  • Credit-based limits on leads/messages per tier
Visit DataHawk ↗Visit Starnus ↗