StaffingHub Benchmark Report · Executive Edition · 2026

Beyond Job Board
Dependency

A dependency is what a business cannot function without. In 2025, that's what job boards became for a growing number of staffing agencies, even as prices kept rising. This report is about the firms that grew without that reliance, and what they built instead.

5 datasets · 882,000 placements · 231 agencies · 1,500 job seekers

Published by StaffingHub · Presented by Bullhorn

The firms that grew did not find a better channel. They built an asset.

This report reads 2026 datasets against one question: when do job boards create profitable growth, and when do they become a dependency tax, the extra a firm pays because it cannot find candidates without renting access to them? Four findings answer it.

The evidence base

Independent, StaffingHub, and Staffing Referrals research, read together.

Appcast 2026 Recruitment Marketing BenchmarkRecruitment-advertising cost across roughly 1,200 US employers.
Bullhorn GRID 2026 Industry TrendsAI adoption by growth tier, roughly 2,300 recruitment professionals.
StaffingHub Sourcing Effectiveness BenchmarkChannel mix and stated intent, 29 agencies, 88,000 placements.
StaffingHub State of Staffing 2026Operating maturity and growth outcomes, 231 agencies.
Staffing Referrals 2026 Loyalty & Referral BenchmarkTenure and redeployment, measured across 882,004 placements.
1
Paid hiring keeps getting more expensive, and the labor market is not the cause. The cost of a job board hire rose across every occupation Appcast tracks, while the share of US workers looking for a job fell.Appcast 2026 Recruitment Marketing Benchmark
2
Operating discipline separated the firms that grew from the firms that shrank. Pay, lead-response speed, and channel mix did not. Agencies that grew revenue 25% or more scored 4.47 on a seven-point operating-maturity scale that counts practices like weekly meetings, KPI dashboards, and documented SOPs. Agencies that shrank scored 3.56.StaffingHub State of Staffing 2026
3
A networked hire outlasts a job board hire and comes back for more work. Across 882,004 placements, candidates sourced through referrals worked 50 to 82% more days than job board hires, and were a quarter to a third more likely to take a second assignment.Staffing Referrals 2026 Loyalty & Referral Benchmark
4
Every firm plans to build the channel they own. Almost nobody has. Today, 22% of agencies have deployed AI. 82% plan to. The same gap shows up across referrals and ATS rediscovery.StaffingHub Sourcing Effectiveness Benchmark & State of Staffing 2026

Next, we'll look at where firms are paying the tax and what those that escaped it did instead.


Section 01 · The Dependency Tax

The cost of a job board hire keeps rising, and the labor market is not the reason.

Job boards work. They place more candidates than any other single channel. The problem is not the channel. It is the price, and the price is moving the wrong way.

In 2025, the median job board cost to hire one technology worker more than doubled.
MEDIAN JOB BOARD COST-PER-HIRE, USD $3,000 $2,250 $1,500 $750 $0 $1,340 All occupations 2025 $2,100 Healthcare 2025 $1,364 $2,795 Technology 2024 2025 +105% in one year 2025 cost-per-hire 2024 (technology only, sole stated comparator)
Median job board cost-per-hire by occupation. Technology more than doubled in a single year, the one vertical with a stated 2024 comparator. Healthcare ran $2,100 and the all-occupations median $1,340, both 2025 single-year points. Appcast is a corporate-hiring dataset, so read the direction, not your own number.
Source: Appcast 2026 Recruitment Marketing Benchmark Report (~1,200 US employers, 2025)

A single firm-wide cost-per-hire number is the kind of metric that lets a problem grow undetected. It averages a $1,340 all-occupations median against verticals that cost far more, and buries the trend underneath.

The labor market softened in 2025. Fewer workers planned to search (43% heading into 2026 compared to 93% the prior year), and apply rates climbed as those who did search applied more broadly to a smaller pool of openings. With 6.9 million openings drawing 5.6 million hires, platforms had no shortage of activity. Costs rose regardless.

“CPA is now at least as much about how job boards price and sell media as it is about job-seeker competition.”Appcast 2026 Recruitment Marketing Benchmark

This doesn't mean job boards are the enemy. They're the right call for an urgent, high-volume fill where speed is the point. The trouble starts when every search runs through the board by default, no one attaches a number to it, and the firm loses track of which placements belonged on a channel it already owns. The 2026 State of Staffing report found that 43% of agencies above $50 million in revenue spend $10,000 or more a month on job boards. At that scale, the board is a six-figure line at a unit price the firm does not set.

There is a deeper cost than the unit price. A job board hire is a transaction. The firm pays, the candidate starts, the assignment ends, and when the next req opens, the firm pays the platform again to find someone new. The board did its job. The firm rented a placement instead of keeping a candidate. What changes the economics is whether the firm turns that paid placement into someone it can place again, without paying to find them twice.

The decision

CAP and CONVERT. Cap passive job board spend at a number someone reviews every month. Convert every candidate the board sends into someone the firm can place again, or the spend bought one rented start and nothing else.


Section 02 · What Growing Firms Do

Operating discipline separated the firms that grew from the firms that shrank.

Two firms can run the same channels and spend the same money and still end the year in different places. State of Staffing measured 231 agencies to find what set them apart. The answer was not in the channel mix.

No channel places even a quarter of hires. A growing firm runs a portfolio, not a front door.
MEAN SHARE OF PLACEMENTS, SELF-REPORTED, % OF PLACEMENTS 0 5 10 15 20 25 Job boards 23.9 Direct outreach 23.4 ATS rediscovery 16.4 Referrals 9.1 Career site 8.3 AI tools 6.0 Healthcare marketplaces 5.1 Social media groups 3.7 The leading channel stops short of a quarter of the mix. The other seven split the rest.
Mean share of placements by channel, self-reported across 29 agencies. No channel clears 25%. A self-reported estimate of mix, not a measure of return.
Source: StaffingHub Sourcing Effectiveness Benchmark (29 agencies, 88,000 placements, January 2026)

No channel does even a quarter of the work. Job boards carry 23.9% of placements, direct outreach 23.4%, ATS rediscovery 16.4%, and the rest splits among referrals, the career site, and AI tools. A growing firm runs that spread on purpose. It knows which placement belongs on which channel, and at what volume, because someone decided rather than defaulted.

Agencies rank owned and earned channels four to one over job boards. Job boards still lead the placement mix.
HIGHEST-CONVERTING SOURCE RANKING, SELF-REPORTED, % OF AGENCIES RANKING #1 0 10 20 30 40 Word-of-mouth / referrals 39% Direct sourcing 23% Job boards 19% Internal database 10% Career page 4% Social 1% Owned + earned ≈ 76% referrals, direct sourcing, internal database, career page Owned + earned channel Job boards / social
Count of which channel each agency ranked as its single highest-converting source, n=175. This is a self-reported ranking, not a measure of channel ROI, which the source explicitly disclaims. Owned and earned channels rank first for roughly 76% of agencies; job boards for 19%.
Source: StaffingHub State of Staffing 2026 (highest-converting-source question, n=175)

Agencies already know which channels convert. But almost no one runs them as a system. Asked to name their single best-converting source, about 76% of agencies pointed to owned and earned channels: referrals, direct sourcing, the internal database, the career page. Job boards drew 19%.

On a 7-point scale, the firms that grew scored 4.5. The firms that shrank scored 3.6.
WHAT SEPARATED GROWERS FROM DECLINERS Operating-maturity score 7-point scale 7 5 3 0 4.47 Grew 25%+ 3.56 Shrank gap +0.91 AI signal, share of agencies 0% 50% 100% AI deployed inside the ATS 78% 25%+ growers 64% all firms Leadership ready to lead AI transformation 81% highest-growth firms 46% weakest performers AI tracks growth as one practice on a maturity scale, depth and leadership move with it. Agencies that grew revenue 25%+ Decliners / all firms (comparison) Pay scale, lead-response speed, and channel mix did not separate the two groups. Operating discipline did. AI-in-ATS bars compare growers vs all firms; leadership bars compare highest-growth vs weakest performers.
Operating-maturity score on a 7-point scale, growers (4.47) against decliners (3.56), computed on the 171 agencies reporting a 2024-to-2025 revenue change. The AI bars use two different comparison bases, AI-in-ATS is growers vs all firms, leadership readiness is highest-growth vs weakest performers, each labeled on the bar. Depth of AI deployment and leadership readiness move with growth; mere presence of AI does not substitute for operating discipline.
Sources: StaffingHub State of Staffing 2026; Bullhorn GRID 2026 Industry Trends Report

So what did separate them? Operating discipline. Agencies that grew revenue 25% or more scored 4.47 on a seven-point operating-maturity scale. Agencies that shrank scored 3.56. AI moved with that discipline rather than standing in for it: 78% of high-growth firms run AI inside the ATS against 64% of all firms.

Job board spend, meanwhile, tracks how big a firm already is, not where it is headed. 43% of firms above $50 million spend $10,000 or more a month, and spend crossed with growth shows no pattern at all.

Lastly, contracting agencies are nearly twice as likely as non-contractors to run no formal referral program at all, 26% against 14%. The firms that built an owned channel into a system skewed toward the ones that grew.

The decision

SHIFT and MEASURE. Shift spend toward the owned channels the firm already ranks first for conversion. Then measure the sourcing portfolio the way any budget gets measured, with a number on every line.


Section 03 · What a Channel Returns

A job board hire is a transaction. A networked hire is an asset.

A recruiter grades a channel one placement at a time. Did the hire stick? What did it cost? Fair questions, and both miss where the money is. A channel keeps paying, or stops paying, long after the first start.

Judge a channel on what it returns over a candidate's working life, not on what one placement cost. A job board hire is a transaction. The fee buys one start; when that assignment ends the candidate is gone, and the next req starts the meter again. A networked hire, someone who came in through a referral or a relationship the firm already had, works longer, comes back, and brings others. Cost per placement is too small a number to see any of that.

Nine in ten agencies use the database they own. Only three in ten run it as a primary source.
SHARE OF AGENCIES, BY DEPTH OF ATS / CRM RE-SOURCING 0% 25% 50% 75% 100% Re-source at least some placements Any use of the ATS / CRM 90.9% Run it as a primary source At least a quarter of placements 31.8%
Share of agencies by depth of ATS or CRM re-sourcing, 29 agencies. 91% re-source at least some placements; only 32% run it as a primary source. Owned channels are the ones agencies rank first for conversion (see §2).
Source: StaffingHub Sourcing Effectiveness Benchmark (29 agencies, January 2026) · "Breadth vs reliance" chart

Start with the asset every firm already owns. 91% of agencies re-source at least some placements from their ATS or CRM. Only 32% run it as a primary source. A candidate already in the database was sourced and screened once, on a bill the firm already paid. Find that same person again through a paid job board, and the firm has paid the acquisition cost twice for someone it already had. The database is the cheapest channel in the building, and most firms barely open it.

Directional · one agency

At one travel-nursing agency, of 918 placements a job board took credit for, roughly 47% were workers the agency had already employed. About 53% were genuinely net-new.

Referred candidates outlast job board hires in every vertical, by 50 to 82%.
MEDIAN LIFETIME DAYS WORKED PER CANDIDATE 200 150 100 50 0 180 96 99 Healthcare +82% 64 39 36 Light industrial +78% n/r 174 116 Travel nursing +50% Referred Career site Major job board
Median lifetime days worked per candidate, by source, 2024-2025. The career-site bar renders adjacent to the job board bar in each group: the two collapse together while the referred bar stands apart. Anonymity floor: at least 22 agencies per published cell.
Source: Staffing Referrals 2026 Loyalty & Referral Benchmark (882,004 placements, 443,182 candidates)

Tenure is the first place the asset shows. Median lifetime days worked, by source: in light industrial, referred candidates worked 64 days against 36 for job board hires; in healthcare, 180 against 99; in travel nursing, 174 against 116. A 50 to 82% gap, and it holds in every vertical.

For those planning to lean harder on their own career site, it's worth noting that career-site hires tenure within three days of job board hires. What makes a candidate stay is the relationship behind the application, not the web page it came through.

Referrals redeploy at 51% in healthcare. Just 38% from job boards. The gap repeats in light industrial.
REDEPLOYMENT RATE, 2+ ASSIGNMENTS 60% 40% 20% 0% 51.0% 37.8% Healthcare 38.8% 30.9% Light industrial NETWORK MULTIPLIER Placements per acquired candidate, incl. downstream referrals 3.0x 2.0x 1.0x 0 2.70 2.53 Healthcare 2.06 1.68 Light industrial Referred candidates Major job board candidates
Referred candidates redeploy at a higher rate than job board candidates in both verticals where the data clears the reporting floor, and each acquired referral seeds more downstream placements. Cross-sectional 2024-2025 SR analysis cut (851,996 valid placements, 452,545 placed candidates); no causal or before-after claim. Healthcare and light industrial only.
Source: Staffing Referrals 2024-2025 analysis cut (851,996 placements) · SR-customer agencies

Tenure runs long because the candidate comes back. Referred candidates redeploy at 51% against 38% for job board candidates in healthcare, and 39% against 31% in light industrial. And each one brings others. Counting the placements their referrals produce, the network multiplier runs 2.70 in healthcare and 2.06 in light industrial.

A job board hire is a fee for a start. A networked hire is that start, plus the assignments the candidate comes back for, plus the people they refer. It multiplies. It belongs on the asset side of the page.

Referrals carry the longest tenure of any channel measured here and still drive only 9.1% of placements. That's a reason to measure them, not to rebuild the whole budget around them.

The decision

CONVERT. Turn every candidate a paid channel sends into someone the firm can place again. The channel is fine. The conversion step is what's missing.


Section 04 · The Execution Gap

Agencies know AI, ATS rediscovery, and referrals drive growth. Almost nobody has built them.

AI is the widest gap: 22% deployed today, 82% planned. The same gap shows up across referrals and ATS rediscovery. Most agencies have a plan. They're just not sure how to accomplish it.

Stated 2026 intent runs 25 to 60 points ahead of measured execution. The gaps are not equal.
STATED 2026 INTENT VS CURRENT MEASURED EXECUTION 0% 25% 50% 75% 100% Referrals at scale 4.5% 39% 34.5-point gap ATS rediscovery 31.8% 57% 25.2-point gap · narrowest AI deployment 22% 82% 60.0-point gap · widest Candidate communication 38.6% of job seekers name silence their top friction. No agency metric exists to compare against. Tenure-by-source measurement Tenure varies 50–82% by source. Few agencies report it, so no execution figure is published. Measured execution Stated 2026 intent
Stated 2026 intent against current measured execution, by operating capability. The "25 to 60-point" range corresponds to the ATS-rediscovery low end (25.2) and the AI-deployment high end (60.0). Where the dumbbell mixes datasets, the 39% "name referrals #1" figure is a State of Staffing highest-converting-source ranking, not a measured share. Candidate communication and tenure-by-source measurement have no clean execution percentage and are shown as note rows, not fabricated dots.
Sources: StaffingHub Sourcing Effectiveness Benchmark, State of Staffing 2026, StaffingHub 2026 Talent Survey, Staffing Referrals 2026 Loyalty & Referral Benchmark

Three capabilities can be measured on both sides: plan and practice.

  1. AI deployment: 82% of firms plan AI-driven sourcing, 22% run AI in five or more processes.
  2. ATS rediscovery: 57% plan to expand it, 32% run it as a primary source.
  3. Referrals: 39% name them the top converter, under 5% make them a primary source.

Two more (candidate communication and tenure-by-source measurement) have intent on the record and no execution number anywhere, because firms do not track them.

Agencies say referrals convert best. 11% have automated them. The rest run their best channel by hand.
REFERRAL-PROGRAM MATURITY, SHARE OF AGENCIES (n=177) 40% 30% 20% 10% 0% 19% 38% 31% 11% No program Basic / manual Structured / manual Automated None or basic · 56% of agencies
Referral-program maturity, self-reported across 177 agencies. Combined "none or basic" is 56%; only 11% (20 of 177) run a software-supported automated program. The corrected four-bucket scale: an implied 81% run a referral program in some form (100 minus the 19% with none).
Source: StaffingHub State of Staffing 2026 · referral-program-maturity question, n=177

Referrals are the sharpest case. Agencies name them the top converter, but 19% have no program, 38% run a basic or manual program, 31% have a structured one but still manual, and only 11% have a fully automated program. More than half of all firms sit at none or basic. The capability they rank first for conversion is the one they have least often turned into a system.

“AI won't take your job, it will help you get better at it, but what will take your job is another recruiter at a competitor that's using AI and automation really well.”Sam Porter, IT Director, Morgan Hunt · Bullhorn GRID 2026
The decision

MEASURE. Pick one capability gap. Put a number on it. Review that number weekly. A capability that is not on a cadence is being hoped for, not built.


Section 05 · By Vertical

The mix that wins in healthcare loses in light industrial. There is no single industry channel mix.

Inside an agency, each vertical is its own business: healthcare, light industrial, tech. A healthcare team and a light industrial team don't run the same way. Channel mix, tenure, and the bottleneck all change with the vertical.

Light industrial

Light industrial is the most channel-diversified vertical in the report. Job boards, direct outreach, ATS rediscovery, and referrals all carry real volume. Referrals lead on conversion (14.3%, the highest measured) and tenure (referred candidates work 78% longer than job board hires).

Healthcare

Healthcare's binding constraint is credentialing speed, not channel mix. Until vetting is fast, every channel underperforms. Fix the pipeline first. Then weight the longer-tenure work toward owned channels: referrals work 82% longer in healthcare, the widest gap in the report.

Technology

Tech cost-per-hire doubled in one year, the only triple-digit cost spike in the report. The job board is broken for tech. Direct outreach leads, with AI tools in close support. Referral conversion runs 2.7% because tech hiring is long-cycle for scarce specialists.

The decision

TUNE. Tune the channel mix to the vertical. The portfolio discipline from Section 02 holds, but the right weights are a call made vertical by vertical, not once for the whole firm.


The dependency question

Is your firm dependent on job boards?

A dependency is something a business can't function without. Have job boards become that for your firm? There are two ways to test this:

  1. If Indeed, ZipRecruiter, and LinkedIn shut off recruiter access tomorrow, how many of next quarter's placements still happen?
  2. When a major job board decides to compete with staffing agencies directly, how much of your candidate flow are you handing the competition?
The operational definition

Job board dependency is when starts depend on rented candidate access more than owned supply execution.


Closing

The 2026 advantage is the channel you own.

In 2025, the cost of buying a candidate went up while the labor market went soft. Run every search through a paid platform and the firm funds a rising price for a shrinking pool. The firms that grew ran sourcing as a portfolio they measured, routed the longer-tenure work onto channels they own, and turned each paid placement into a candidate they could place again. That discipline is what scored 4.47 against 3.56 on the seven-point operating-maturity scale.

Three plays to start this quarter

Play 01

Cap the meter.

Set a job board spend ceiling someone reviews every month. The board is for urgent, high-volume fills, not every req by default.

Section 01

Play 02

Open the database.

Make ATS rediscovery a measured step in every search before a paid post goes up. It is the cheapest channel the firm owns.

Section 03

Play 03

Deploy AI in one process.

The widest execution gap in the report sits here: 22% of agencies have AI deployed today, 82% plan to. Pick one process: sourcing, screening, redeployment, or candidate outreach. Automate it. Measure the lift.

Section 04

Five datasets, and what this report does not claim

DatasetSampleUsed forPrincipal limit
Appcast 2026 Recruitment Marketing Benchmark302M clicks, 27.4M applications, ~1,200 US employersRecruitment-marketing cost trendsCorporate-HR-weighted, not staffing-specific
Staffing Referrals 2026 Loyalty & Referral Benchmark882,004 placements, 443,182 candidatesTenure by source and verticalAgencies already running referral programs
Staffing Referrals 2024-2025 analysis cut851,996 placementsRedeployment, the single-agency sidebarCross-sectional, SR-customer agencies only
Bullhorn GRID 2026 Industry Trends Report~2,300 recruitment professionalsAI deployment by growth tierVendor-collected, disclosed
StaffingHub Sourcing Effectiveness Benchmark & State of Staffing 202629 agencies / 231 agenciesChannel mix, operating maturity, stated intentSelf-reported survey estimates

What this report does not claim. It does not claim the operating-maturity gap holds for firms outside the surveyed range, that AI substitutes for operating discipline, that job boards are obsolete, or that any single channel wins. No dataset here measures channel-level gross profit, gross margin, or cost-per-start by source, so the channel-value framework ships with GP per start as your own diagnostic input.

Sources and disclosure. This report synthesizes five datasets. Appcast and Bullhorn GRID are independent of the publisher. StaffingHub publishes the Sourcing Effectiveness Benchmark and State of Staffing 2026. Staffing Referrals co-sponsors the Sourcing Effectiveness Benchmark, supplies the Loyalty and Referral Benchmark, and supplied the added analysis cut behind the redeployment exhibit and the single-agency directional sidebar. Bullhorn is the report's sponsor.

© 2026 StaffingHub Executive Edition · Presented by Bullhorn