Pin Data: AI Recruiting Cuts Time-to-Hire by 70%
Platform benchmarks show 48% outreach response rate and two-week average fills as AI adoption in recruiting accelerates
The benchmarks arrive as AI adoption in HR reaches a tipping point. SHRM's 2026 State of AI in HR report found 39% of organizations have adopted AI in HR, with recruiting as the top use case. Yet 69% of companies still report difficulty filling roles (SHRM 2025 Talent Trends), and average cost-per-hire sits at
Pin's customer data shows measurable results against these challenges: approximately 70% of AI-recommended candidates are accepted into hiring pipelines. The platform searches 850M+ candidate profiles with 100% coverage in
Key Facts
- Time-to-hire reduction: Nearly 70% vs. traditional methods
- Outreach response rate: 48% (email, SMS)
- Candidate acceptance: ~70% of AI recommendations accepted
- Database: 850M+ profiles, 100%
North America /Europe coverage - Pricing: Free tier; plans from
$100 /mo
Why This Matters
Gartner's
FAQ
Q: How does AI recruiting reduce time-to-hire?
A: AI automates sourcing, outreach, and scheduling. Pin's data shows this reduces time-to-hire by nearly 70%, with average fills in two weeks.
Q: What response rate can recruiters expect from automated outreach?
A: Pin's multi-channel outreach delivers a 48% response rate, compared to 8-10% for traditional cold recruiting messages.
Q: How large is Pin's candidate database?
A: 850M+ profiles with 100% coverage in
About Pin
Pin (pin.com) is an AI-powered recruiting assistant that automates sourcing, outreach, and scheduling. Founded by
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SOURCE Pin
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