Figures
Pricing on requestEuropean compensation benchmarking platform. Real-time salary data from 1000+ companies for hiring decisions.
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SourcrLab Take
European compensation benchmarking platform.
Use if: Recruiting ops
Skip if: Initial setup is front-loaded but pays off long-term
Better alternative: ChartHop . Org management and people analytics platform. Visual org charts, compensation pl…
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About Figures
European compensation benchmarking platform. Real-time salary data from 1000+ companies for hiring decisions.
Information may change. Always verify on the official website.
Key Features
- Workflow builder
- Integrations
- Trigger actions
- Data sync
- Custom rules
- No-code interface
Best For
- Recruiting ops
- Tech-savvy recruiters
- Scaling agencies
Use Cases
- Data sync
- Status updates
- Scheduling workflows
- Reporting
Pros & Cons
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Editor Notes
🎯 Should you use Figures?
Buy if: You hire in Europe and need salary benchmarks backed by actual company data instead of self-reported guesses.
Skip if: You recruit primarily in the US or your budget requires transparent pricing before a sales call.
⚡ In practice
- ●Setup: Unknown timeline, no trial to test before committing.
- ●Salary benchmarking: Real data from 1000+ European companies, not Glassdoor noise.
- ●Comp planning: Updates in real-time as market rates shift.
⚠️ Where it breaks
- ●No published pricing means you waste a week on discovery calls before learning if you can afford it.
- ●US market coverage is weak compared to Pave or Ravio, making it useless for cross-region teams.
💸 Is it worth the money?
Unknown cost structure makes ROI impossible to calculate upfront. If you close senior European hires regularly and lose candidates to comp misalignment, the data likely pays for itself.
🆚 If not this
- ●Pave -> Stronger US data, published pricing, better for tech-heavy companies with San Francisco or New York offices.
- ●Ravio -> European focus like Figures but more transparent on cost and startup-friendly tiers.
🎯 Final verdict
Figures solves European comp benchmarking if you have the volume to justify opaque enterprise pricing and can survive without a trial.
Pricing
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