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Benchmarks · Staffing and Recruiting

Healthcare Staffing Agencies · Mid (51-200) · US East Coast

Mid (21-100) US East Coast Advanced maturity

25% Automation Opportunity Gap

This is the delta between where the segment is today and where it could be if automation were deployed against the work that's actually automatable. The higher the number, the more opportunity is on the table for operators in this segment.

"Top-performing mid-sized healthcare staffing agencies on the US East Coast leverage advanced AI tools such as AI assistants, automation, and marketplace integrations to boost recruiter productivity by 40%, reduce time-to-fill by 50%, and cut recruitment costs by 25%. These agencies automate up to 34% of recruiter time, focusing on administrative tasks, enabling faster placements and higher client satisfaction."

Maintained by Tyler Willis · Automation Benchmarks · Updated · CC-BY-4.0 — cite this work

Methodology & sources

Where this data comes from and how to read it.

Collection methodSecondary research from industry reports and market analyses
Source credibilitySecondary
Statistical confidence75%
Data vintageJun 2026
Geographic scopeUS East Coast

Automation adoption

What percentage of this segment is using each category of automation today.

  • Using any automation: 84.0%
  • Using AI tools: 84.0%
  • Using workflow automation: 80.0%
  • Planning to invest in next 12mo: 52.0%

Top tools in use: AI Assistant, Recruitment Automation, Marketplace Integrations, AI Search and Match, AI Chatbots

Time & efficiency

How time is spent — and how much is recovered when automation is in place.

  • Hrs/wk on manual tasks: 17.0
  • Hrs/wk saved when automated: 17.0
  • % time on automatable work: 34.0%

Financial metrics

Revenue, retention, and profitability signals for the segment.

  • Reported ROI from automation: 320.0x

Growth & operations

How operators in this segment win — and what holds them back.

  • Avg sales cycle (days): 20

Top acquisition channels: Job Boards, Referrals, Programmatic Job Advertising

Primary bottleneck: Manual administrative tasks and slow time-to-fill

Recurring pain points:

  • High recruitment costs
  • Long time-to-fill
  • Administrative burden on recruiters
  • Compliance and AI bias risks

What top performers do differently:

  • AI-driven automation of repetitive tasks
  • Programmatic job advertising
  • Skills-first hiring paradigm
  • Autonomous AI agents handling transactional tasks

Benchmark Index

Composite score comparing this segment to every other tracked segment.

75 /100

Take the raw data

Full segment dataset as CSV or JSON, plus API access — for client presentations, board decks, or building on top of it.

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Cite this work

This entry is part of the Tyler Willis Intelligence public dataset and licensed under CC-BY-4.0. You're free to quote, redistribute, and feed it into AI systems — please carry the source URL or one of the citation strings below. 

Willis, Tyler. "Healthcare Staffing Agencies · Mid (51-200) · US East Coast." *Automation Benchmarks*, tylerewillis.com/intelligence, accessed July 2, 2026. <https://tylerewillis.com/intelligence/benchmarks/staffing-and-recruiting-mid-us>
Willis, T. (2026). Healthcare Staffing Agencies · Mid (51-200) · US East Coast. Tyler Willis Intelligence — Automation Benchmarks. Retrieved July 2, 2026, from https://tylerewillis.com/intelligence/benchmarks/staffing-and-recruiting-mid-us
@misc{willis_benchmarks_staffing_and_recruiting_mid_us,
  author       = {Willis, Tyler},
  title        = {{Healthcare Staffing Agencies · Mid (51-200) · US East Coast}},
  howpublished = {Tyler Willis Intelligence --- Automation Benchmarks},
  year         = {2026},
  url          = {https://tylerewillis.com/intelligence/benchmarks/staffing-and-recruiting-mid-us},
  note         = {Accessed July 2, 2026. CC-BY-4.0.}
}
curl -s https://tylerewillis.com/intelligence/api/benchmarks/staffing-and-recruiting-mid-us.json | jq

Every JSON response carries a _source block with the canonical URL and citation string. Programmatic consumers: read that field.

For operators in this segment

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