We’re excited to share our first-ever Staffing Engine Lead Response Benchmark Report! Learn how fast other staffing firms are responding to inbound candidate leads and where your firm stacks up. 

We pulled the last 12 months of lead data to give you an idea of the benchmarks of our customers using Staffing Engine AI Distribution.  

From making sure your recruiters are claiming leads to tracking how long it takes to follow up, this data will help you set benchmarks and SLAs to make sure your staffing firm isn’t missing potential placements.  

What this data shows

The big takeaways from the report show that when lead ownership is trackable and distribution is measurable (SLA + audit trail), staffing firms are able to:

• Reduce missed leads (50% lead claim rate)
• Claim leads faster (under 3 mins)
• Respond faster (under 30 minutes)

How to use these numbers

Set an SLA for claim time. If you want to be top-quartile in this dataset, target less than 1 minute to claim (business hours). A practical median target is ~5 minutes.

Set an SLA for first response. A median target of ~30 minutes (business hours) is achievable with real-time routing plus click-to-claim ownership.

Stop the lead leakage. If claim rates are below the customer median (~53%), focus on routing precision and accountability (owner+audit trail).

Most staffing firms don’t have visibility into claim time, response time, or lead ownership. If you want to hit sub-5 minute claim times and sub-30 minute response times, you need the system behind it. Book a demo of Staffing Engine AI Distribution

Methodology and definitions

Source: An anonymized extract of performance metrics from Staffing Engine AI Distribution customers.

Unit of analysis: Each customer counts once in percentile benchmarks (customer-level distribution).

Claimed lead: A recruiter or salesperson takes ownership via the Distribution workflow (e.g., click-to-claim).

Time-to-claim: Time from lead delivery into Distribution to the first claim event.

Time-to-respond: Time from lead delivery to first outbound response attempt.

Business hours: A normalized clock that excludes nights/weekends per customer configuration to compare across time zones and operating schedules.

Placements: Placements recorded in the dataset and attributed within customer tracking.

You’ve seen the benchmarks. Now see how to hit them. Get a live demo of Staffing Engine AI Distribution