What is a good agency utilization rate? (benchmarks and how to hit them)
What counts as a good agency utilization rate, how to calculate it, realistic benchmarks by role, and the levers that move it - without burning your team out.
Part of the time tracking guide
The one number that predicts agency profit
If you could track a single operational number, utilization rate would be a strong candidate. It tells you how much of the time you pay for is actually earning - and since people are an agency's biggest cost, the share of their time that's billable largely decides whether you make money. Most owners have a gut feel for it and almost no data, which is exactly why margin so often disappoints.
Utilization isn't about squeezing people. It's about seeing where paid time goes, so you can fix the leaks - the unbillable rework, the bench time between projects, the meetings that eat a day - instead of just working harder.
How to calculate utilization rate
The formula is simple:
Utilization rate = billable hours ÷ available hours × 100"Available hours" is the time you pay someone for in a period. So a person paid for 40 hours a week who logs 28 billable hours is running at 70% utilization. Calculate it per person and per team, and review it weekly - a monthly average hides the weeks where someone was on the bench.
One nuance: don't confuse utilization with realization. Utilization is how much time was billable; realization is how much of that billable time you actually got paid for. You want both healthy.
Realistic benchmarks
There's no universal "right" number, but useful ranges:
- Billable team (delivery roles): roughly 65-85%. Creative and production roles often sit at the higher end.
- Agency-wide average (including non-billable roles): lower, because account, ops and leadership time isn't all billable.
- Reality check: plenty of agencies run below their target without realising it - capacity they pay for that earns nothing.
Crucially, 100% is not the goal. A person at 100% has no time for the non-billable work that keeps the agency healthy - and is a burnout risk. A sustainable target leaves room for admin, learning, and slack.
The levers that actually move it
If utilization is low, the fix is usually one of these:
- Cut unbillable rework. Tighter scope and clearer briefs mean less redoing - protect against scope creep and you reclaim billable hours.
- Reduce bench time. Bench time between projects is pure cost; better pipeline visibility and capacity planning shrink it.
- Protect deep-work time. Audit meetings and context-switching - they quietly convert billable hours into nothing.
- Right-size the team. Persistent low utilization can mean overstaffing for the current pipeline; persistent high utilization means it's time to hire.
To act on any of these, you first need the data - which means accurate time tracking.
Turn the number into money
Utilization only matters because of what it does to profit. The bridge is your effective hourly rate: low utilization drags down what each paid hour really earns, no matter how high your headline rate is. Run your numbers through the effective hourly rate calculator to see the link directly, and read the full agency time tracking guide for how utilization, capacity and pricing fit together.
Frequently asked questions
What is a good utilization rate for an agency?
For billable delivery roles, roughly 65-85% is healthy, with creative and production roles often at the higher end. Agency-wide averages run lower because not every role is billable. The right target balances profitability against burnout - 100% is not the goal.
How do you calculate utilization rate?
Divide billable hours by available (paid) hours and multiply by 100. Calculate it per person and per team, and review weekly so you catch bench weeks that a monthly average would hide.
Is 100% utilization good?
No. Someone at 100% has no capacity for the non-billable work that keeps an agency running - and it's unsustainable. A good target deliberately leaves room for admin, learning and slack.
Why is my agency's utilization low?
Usually unbillable rework from vague scope, bench time between projects, or meetings and context-switching eating deep-work time. Sometimes it signals overstaffing for the current pipeline. Accurate time data shows which.