What is a good redeployment rate for a staffing firm?

Most firms that don't track it land between 10 and 20 percent without trying. Firms that build a real process get to 35 or 45 percent, and the best light-industrial and healthcare shops push past 50. Start by measuring where you actually are today. The number is almost always lower than owners guess.

How is redeployment rate different from retention?

Retention measures how long a worker stays on one assignment. Redeployment measures whether you place that worker again after the assignment ends. A worker can have great retention and still walk out the door forever when the job wraps. Redeployment catches the moment retention stops mattering.

Do I need new software to track redeployment?

No. Your ATS already knows who ended an assignment and who got placed again. You need a report that connects those two events inside a set window, like 30 or 60 days. Most firms can build this from existing data in a week. Software helps you scale it, but it isn't the starting line.

Redeployment Rate: Staffing's Untapped Margin KPI

The 2026 State of Staffing Report shows redeployment is the second-least-tracked metric in the industry. It's also the fastest way to improve margin without hiring a single new recruiter. Here's how to build it into your operating model.

The 2026 State of Staffing Report just named redeployment the second-least-tracked metric in the industry. That should stop you cold. The thing almost nobody measures is the same thing that drops straight to margin without a single new hire.

Here is the math that PE-backed operators keep missing. Every worker who finishes an assignment and disappears is a source you paid to find, screen, and onboard. When they leave for good, you eat that cost. When you place them again, you keep it. Same worker. Same relationship. A fraction of the effort.

Your firm is getting squeezed on EBITDA right now. Fill rate is tapped out. Bill rates are what they are. Your recruiters are already working full days. Redeployment is the one lever that gives you more placements from the pipeline you already paid for.

Why Redeployment Beats Almost Every Other Fix

Look at what a placement actually costs you. Sourcing, screening, reference checks, onboarding paperwork, compliance. Industry numbers put that between 1,500 and 4,000 dollars per placement depending on your desk. Every one of those dollars is spent before the worker bills an hour.

Now run a redeployment. The worker is already in your system. They are screened. Their compliance is current or close to it. You know their skills, their attendance, and whether the last client wanted them back. Your cost to place them again is a phone call and a start date.

Here is a real scenario. A light-industrial firm places 2,000 workers a year at an average margin of 22 percent. Their redeployment rate is 15 percent, which most owners would call fine because they never measured it. Push that to 35 percent and you have added 400 placements a year with no new sourcing spend. On a 22 percent margin, that is real EBITDA, and it showed up without adding a single recruiter to payroll.

That is why this metric matters more than any dashboard vanity number. It is not about activity. It is about keeping the value you already created.

How to Build Redeployment Into Your Operating Model

Tracking a number does nothing. You have to build the number into how the work happens. Here is the sequence I use with portfolio companies.

1. Measure where you actually are

Pull two lists from your ATS. Workers whose assignments ended in the last 90 days. Workers who started a new assignment within 60 days of that end date. The overlap is your redeployment rate. Do it this week. The number will be lower than you think, and that gap is your opportunity.

2. Assign the redeployment moment to a person

Right now, nobody owns the day an assignment ends. The recruiter is chasing the next req. The worker slips into a black hole. Fix that. Someone gets a task the day an assignment closes: call the worker, confirm availability, match them to an open order. Put it in the workflow so it can't be skipped.

3. Flag your redeployable bench daily

Build a live list of workers rolling off in the next two weeks. Your recruiters should see it every morning next to their open orders. When a req comes in, the first question is not "who can I source." It is "who is already ours and coming free."

4. Pay for it

Recruiters chase what you comp. If a new-source placement and a redeployment pay the same, fine. If your comp plan quietly rewards fresh sourcing over reusing your bench, you built a machine that leaks margin on purpose. Look at your plan and make redeployment worth the recruiter's time.

5. Report it every week

Redeployment rate goes on the same board as fill rate and gross margin. Weekly, by desk, by branch. What gets reviewed gets worked. When a branch manager has to explain a 12 percent redeployment rate in the Monday meeting, the number starts moving.

Where AI Actually Helps Here

This is one of the cleaner AI use cases in staffing, and I don't say that lightly. The redeployment moment is a matching problem plus a timing problem. Machines are good at both.

An AI layer on your ATS can watch every assignment end date, score your rolling-off workers against open orders, and hand your recruiter a ranked list before the worker even asks what's next. It can flag the compliance items that need refreshing so the worker is ready to start, not stuck in paperwork. It can text the worker to confirm availability without a recruiter lifting a finger.

The point is not to replace the recruiter's judgment. The point is to make sure the redeployment moment never gets missed because someone was busy. Most lost redeployments aren't a skills problem. They are a timing problem. The worker got another job before your recruiter got around to calling. AI closes that gap.

If you want to see how this fits your stack, our work on AI for staffing operations walks through where it pays off and where it doesn't.

The Change Is Behavioral, Not Technical

Here is the trap. Owners hear this, buy a tool, and expect the number to climb. It won't. The tool surfaces the opportunity. Your people decide whether to act on it.

Redeployment lives or dies on habit. The recruiter who checks the bench before sourcing. The staffing coordinator who calls the day an assignment ends. The branch manager who reviews the rate every week. That is a behavior change, and behavior change is where most operational fixes die. If you want that to stick, read how to make change stick before you roll anything out.

This week, do one thing. Pull your current redeployment rate from your ATS using the two-list method above. Write the number down. Then set a target 15 points higher and name the person who owns the redeployment moment. That is the whole starting line. The margin is already sitting in your system. You just have to stop letting it walk out the door.

The Redeployment Rate Is Your Most Valuable Untapped KPI