Ask ten agency recruiters what their "time to hire" is and nine will give you the same answer as if you'd asked about "time to fill." They're not the same metric. They don't measure the same thing. And conflating them is quietly undermining how agencies report performance, set client expectations, and get paid.
This isn't academic. The difference determines whether you're measuring the right lever, whether your clients are benchmarking you fairly, and whether your ATS is configured to give you data that's actually useful.
The Definitions, Precisely
Time to fill measures the number of calendar days from when a job requisition opens to when an offer is accepted. It starts when the client approves the hire — before you've even begun sourcing.
Time to hire measures the number of days from when a specific candidate enters your pipeline to when they accept the offer. It starts with the individual, not the role.
That distinction matters enormously in practice. A role might sit unfilled for three weeks because the client is slow to approve the brief, slow to review CVs, or slow to confirm the salary band. That's time to fill — and most of those days are outside your control as the recruiter.
Time to hire — how quickly you move a candidate through your process once you've identified them — is almost entirely within your control. It reflects your sourcing speed, your screening efficiency, your communication velocity, and how well your ATS is configured.
"We were reporting 'time to hire' to clients but measuring time to fill. So we looked 22 days slower than we were. Once we split the metrics, our actual recruiter performance looked dramatically better — and we could show clients exactly where delays lived."
— Operations Director, UK executive search firm
Why Agencies Track the Wrong Metric
Most legacy ATS systems default to time to fill because it's the single timestamp you can pull from a requisition record: open date to accepted offer date. Time to hire requires tracking when each candidate entered the pipeline, which demands more sophisticated data architecture.
The result: agencies have been reporting time to fill to clients whilst calling it time to hire, and nobody's corrected them because clients often don't know the difference either.
The practical consequence: when a role sits open for 45 days because the client spent 18 days reviewing CVs before scheduling a single interview, that 45-day figure shows up in your performance report. Your consultants look slow. The client questions your efficiency. You negotiate a lower retainer renewal.
In reality, your recruiters found and qualified excellent candidates in 8 days. The other 37 days were on the client.
Separating these metrics isn't about deflecting blame. It's about knowing which part of the process to optimise, and having an honest conversation with clients about their role in hiring velocity.
Industry Benchmarks (2025–2026)
SHRM's Human Capital Benchmarking data puts average time to fill across industries at 36 days in 2024, though this varies significantly by function:
| Role Type | Avg. Time to Fill | Avg. Time to Hire | Client Delay (diff.) |
|---|---|---|---|
| Executive / C-suite | 68 days | 38 days | ~30 days |
| Senior manager / Director | 52 days | 28 days | ~24 days |
| Professional / Specialist | 38 days | 22 days | ~16 days |
| Technical / Engineering | 45 days | 26 days | ~19 days |
| Sales | 34 days | 20 days | ~14 days |
Notice the pattern: roughly 40-45% of time to fill is client-side delay. You own the other 55-60%.
The REC's Recruitment Industry Trends data for the UK shows similar patterns, with London-based executive search averaging 72 days to fill senior leadership roles — but recruiter-controlled time sitting at around 35-40 days. The rest is client decision latency.
LinkedIn's Global Talent Trends Report found that companies that move candidates through their process within 10 days of identification are 2.3 times more likely to hire top candidates before a competitor does. Speed wins candidates — but only the speed you control.
The Revenue Impact Nobody Talks About
Here's the calculation that should make every agency MD pay attention:
A retained executive search engagement runs 25-33% of first-year compensation. On a £150K role, that's £37,500-£49,500 per placement.
If your actual time to hire (recruiter-controlled) is 28 days, but your time to fill reads 55 days because clients are slow, you've got two options:
- Option A: Accept the narrative that you're a slow firm and compete on price
- Option B: Show clients the breakdown — "we delivered candidates in 8 days; it took 27 days to get interview slots" — and have a service-level conversation
Option B is uncomfortable. Clients don't love being told they're the bottleneck. But it changes the relationship from vendor to partner, and it opens the door to a legitimate conversation about SLA commitments on both sides.
Better still: use the data to qualify clients. Firms that consistently take 30+ days to review CVs after submission have poor-fit hiring processes. They're not bad clients per se — but they're going to generate high time-to-fill numbers that damage your benchmarks and frustrate your consultants. That's worth pricing into your engagement terms.
How CRM Automation Closes the Gaps You Actually Own
Let's be precise about where automation helps, because "automation reduces time to hire" is a claim that needs unpacking.
Where automation meaningfully compresses your time to hire:
- Candidate ingestion: A modern ATS parses a LinkedIn profile or CV in seconds and pre-fills a candidate record. Manual data entry takes 15-25 minutes per candidate. If you're processing 30 candidates per week, that's 7-12 hours of administrative time — before any actual recruiting happens.
- Stage-triggered communication: When a candidate moves to "submitted," they automatically receive a status update. When a client confirms an interview, the candidate gets an invite with prep materials. No manual email required; no dropped balls.
- Follow-up sequences: Automated "still interested?" check-ins every 5 days for candidates in passive stages. These recover 15-25% of candidates who would otherwise go cold while waiting.
- Interview scheduling: Automated calendar coordination cuts 2-4 days off the average scheduling process. For a role with three interview rounds, that's 6-12 days back.
- Offer management: Automated offer letter generation, digital signing, and status tracking compresses the offer-to-acceptance stage significantly.
Add it up across a full process: a well-configured recruiting CRM can realistically cut 8-14 days from recruiter-controlled time to hire. On a 28-day baseline, that's a 30-50% improvement. On a full retainer pipeline of 8-10 placements per quarter, that's meaningful additional revenue capacity.
Use our ATS ROI calculator to model the specific impact for your team size and average fee.
"The biggest unlock wasn't the automation itself — it was seeing, for the first time, that our average recruiter-controlled time to hire was 19 days. We'd assumed it was over 30. Turns out our consultants were fast. The clients were slow. That changed how we structured our retainer terms."
— MD, Continental European search boutique
Setting Up Proper Tracking
To track both metrics properly, your ATS needs to capture:
- Job requisition open date — when the client formally approved the search
- Candidate entry date — when each candidate entered the pipeline
- Stage timestamps — every stage change, with date and who actioned it
- Offer acceptance date — when the candidate formally accepted
From these four data points you can calculate:
- Time to fill: Requisition open → Offer accepted
- Time to hire: Candidate entry → Offer accepted
- Sourcing time: Requisition open → First candidate submitted
- Client decision time: Candidate submitted → Interview scheduled
- Recruiter processing time: Time to fill minus client decision time
Most modern ATSs capture this natively. Legacy systems often require custom reporting. If you're running on spreadsheets — stop. The reporting capability alone justifies switching.
Frequently Asked Questions
What's a good time to hire benchmark for executive search in Europe?
For senior and executive roles (Director level and above), recruiter-controlled time to hire of 25-35 days is competitive. Below 20 days suggests either exceptionally good process or insufficient candidate due diligence. Above 45 days and you're likely losing candidates to competing offers. Total time to fill for executive roles typically runs 55-80 days, with client decision latency accounting for the majority of the difference.
Should I report time to fill or time to hire to clients?
Report both, with a clear explanation of what each measures. Present your recruiter-controlled time (time to hire) as your performance metric. Present time to fill as the total project duration. This conversation builds transparency, sets realistic expectations, and surfaces client-side process issues that you can help them fix — which strengthens the relationship.
How does candidate drop-off affect these metrics?
Significantly. If a top candidate withdraws at offer stage after 45 days in the pipeline, you restart the clock. For time-to-fill reporting, this means a single drop-off can add weeks to the average. Track offer-to-acceptance conversion rate alongside time metrics — if it's below 80%, your late-stage process has a problem worth diagnosing separately.
Can CRM automation really reduce time to hire, or is that marketing?
It's real, but it's process-dependent. Automation compresses the administrative and communication stages — candidate processing, status updates, interview scheduling, offer management. It doesn't accelerate the time a client needs to make decisions. Agencies that implement automation without fixing client-side SLA issues see smaller improvements. The firms that do both — automate their processes and set clearer client timelines — consistently see 20-35% reductions in recruiter-controlled time.
How should I handle the metric if a candidate re-enters the pipeline?
Use the most recent entry date for time to hire calculations. For time to fill, use the original requisition date regardless of candidate restarts. When reporting, flag roles that required pipeline resets — these typically indicate a client-side issue (changing brief, budget delays, stakeholder disagreement on criteria) rather than a recruiter-side failure.
The takeaway is simple: start measuring them separately. Even a basic spreadsheet audit of your last 20 placements will show you the split. What you find will probably surprise you — and give you something concrete to bring to your next client review.
Check out the full recruitment KPI dashboard guide for the rest of the metrics worth tracking alongside these two. And if you want to see how Yena reports these metrics automatically — no demo call required.
About the author: Janis Kolomenskis is the founder of Yena, an AI-native ATS built for European recruitment agencies. He writes about recruiting metrics, agency operations, and building firms that scale without burning out their people. More at yena.ai.