Agency Capacity Planning Strategies for Higher Margins

Most agencies treat a capacity crunch as a hiring problem. They post a job or call a freelancer, which is usually the most expensive option. Agency capacity planning treats it as a visibility problem instead.

The hours are already on your payroll; they’re just buried under coordination drag and time data no one trusts. Find those hours, match them to the work, and protect margin without adding headcount. This guide shows you how.

TL;DR: Agency capacity planning runs in six steps, and they produce three things. Real capacity, visible per person: working hours minus meetings, admin, and time off, which usually lands closer to 25 hours than 40. A billable band of 65-80% per person, so one bad week doesn’t break the plan. And the predictable work (status updates, task routing, brief hand-offs) handed to AI agents so human hours stay chargeable. The steps below cover the math, the alert threshold, and the review cadence that keeps it honest.

Agency Capacity Planning: A Practical Guide for 2026

What Is Agency Capacity Planning?

Agency capacity planning matches committed client work to each team member’s available hours before assigning it. You set a ceiling on what your team can actually produce between meetings, admin, and time off, then hold client work against that ceiling so you only commit to what you can staff.

It is not the same as resource allocation or forecasting, though the three often blur. Here’s the difference:

Capacity planning sets the ceiling. It considers how much your team can take on
Resource allocation is the short-term act of assigning specific people to specific work within that ceiling
Resource forecasting looks further out, estimating what you will need six months from now

You plan capacity to know the limit, allocate resources to fill it, and forecast to see when you will hit it.

Capacity itself has two halves. The first one is availability: how many hours a person has. The second is fit: whether the work matches what that person should be doing. A spreadsheet only shows you the first half, which is why a team that reads as fully booked can still be badly misallocated.

Find your ceiling: Are your hours translating into profitability?

Most agency owners can’t name their true margin. Can you? In 2 minutes, you’ll see how many hours your team loses each week, what that’s worth (one agency recovered $157K in a quarter), and where you stand against agencies your size.

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Why Capacity Planning Decides Your Margin

Your profit margin dies in capacity planning. Most agencies lose money here without noticing. The leak comes from the hours you pay for that never reach a client.

Promethean Research reports average agency margins near 15%. Yet agencies have missed that target for four straight years, while growth has slowed. Winning revenue is easy: sign a client, add revenue. Making a profit is hard. Profit happens only when paid hours turn into billable work. Capacity planning controls that link.

Here is what happens when you lack visibility:

Work goes to the wrong person. Despite knowing who should lead the project, you can’t see if they are free. So the brief goes to an available teammate or a freelance contractor. Quality and margins drop
Idle time and overtime hit the same payroll. One team member drowns under four accounts. Another sits waiting for a brief. You pay for both, but your spreadsheet flags neither
You over-promise without checking in with the team. You sell an eight-week project with only four weeks of team visibility. Sales lives in one tool, capacity in another, leading to long hours of context switching. Your team works weekends to fill the gap
Overload only surfaces in the post-mortem. Nothing flags a person going over until the project review. By then, the hours are spent, the margin is gone, and someone has already worked two bad weekends to cover it

Where the missing hours actually go

Every one of those failures shares a root: the agency reached for headcount to fix a load problem.

Before you do that, look at what the team is already spending their hours on. Take a senior strategist whose week reads as fully booked. Look at the week itself, and a chunk of it isn’t strategy. It’s status decks, brief hand-offs, and the Slack chase to confirm a designer saw the update. Their capacity is spent on work that never needed them.

Multiply that pattern across a 15-person team, and you’re paying for a full headcount’s worth of hours that never touch a client.

The bottom line: Point AI agents at the work, not the workers.

Clearing those hours by manually rerouting tasks and trimming meetings only goes so far. That’s where AI earns its keep: absorb the predictable work (status decks, routing, brief hand-offs) at a fraction of the cost, and let the freed hours stay billable.

Why this isn’t the hiring reflex in reverse: Hiring adds heads to lift the ceiling, but cutting removes heads to defend the margin. Both treat people as the lever, and miss that the ceiling was never about headcount. You need to shrink the non-billable layer without touching the team, so the same roster produces more chargeable output.

As Nobel economist Daron Acemoglu told MIT Technology Review:

My argument is that we currently have the wrong direction for AI. We’re using it too much for automation and not enough for providing expertise and information to workers.

Aim AI at the workers and you cut them. Aim it at the work, the routing, the status decks, and you clear it off the people instead. The difference is whether the strategist’s hours go back to judgment work or disappear from the payroll entirely.

Free report: The 2026 Agency Operating Model

You hired your team for taste and judgment, then buried them in status decks and coordination. A few agencies figured out how to eliminate the drag and grew their margins without hiring. The report shows the five shifts they made.

Download the report

The Three Capacity Planning Strategies: Lag, Lead, and Match

The three capacity planning strategies are lag (add people after demand is confirmed), lead (add people before demand), and match (adjust in small increments using live data). Which one fits depends on how predictable your work is and how much financial risk you can carry.

Strategy	Pros	Cons	Best for
Lag	Zero idle payroll; every hire is funded by contracted revenue	Permanent backlog; the team absorbs the gap through overtime	Stable, retainer-based agencies with low churn
Lead	Day-one delivery; no project kickoff scrambles	High payroll exposure before billable work lands	Seasonal agencies or signed pipelines with fixed start dates
Match	Protects profit margins from both idle bench and overtime costs	High management overhead; relies on accurate, real-time data	Variable project work with live resource visibility

Lag capacity

Lag capacity works when the client’s requirements are predictable and steady. Wait for clear proof that work has increased before hiring. This way, no one pays for a new employee until there is revenue to cover their salary. That is why stable retainer agencies often use this approach.

What works well with a lag strategy:

No wasted payroll: Every new hire is paid for by actual client revenue. No one pays people to sit idle
Low financial risk: You incur expenses only after cash comes in. A slow month will not leave you with extra payroll costs

Limitations:

You are always late: New work starts before the new hire arrives. The existing team has to work overtime to cover the gap
Hard on sudden work spikes: If client requests jump quickly, your team has to work extra hours to keep up

Skip it if: Your workload changes wildly or your team is already at full capacity with no room for extra work.

Best for: Agencies with steady retainers where adding a worker a few weeks late will not ruin the project.

Lead capacity

Lead capacity works under three scenarios: extra work is coming, you have signed contracts, or there’s a regular busy season. This leads to hiring decisions before the work even starts, so the teams are ready from day one.

What works well with a lead strategy:

Ready for the rush: New staff are hired and trained before the work begins. The project starts smoothly without panic
Prevents team burnout: Having enough staff in place keeps your team from working nights and weekends

Limitations:

Paying early: You pay salaries before client money arrives. If your sales forecast is wrong, you lose money
Costly if deals are delayed: If a project gets pushed back, you still have to pay the new employee while they wait for work

Skip it if: Your pipeline is based on hopeful deals rather than signed contracts.

Best for: Agencies with signed contracts or reliable, busy seasons with fixed start dates.

Match capacity

Match capacity works when workload changes often, and you track your team’s hours in real time. Instead of making big, full-time hires, make adjustments in small steps. For example, use freelancers or flexible hours to keep capacity close to the real-time workload.

What works well with a match strategy:

Protects profit margins: You don’t pay for idle staff or expensive overtime. You pay only for the exact work you need
Stops panic hiring: Small adjustments keep you from making quick, risky hires when work gets busy

Limitations:

Needs accurate data: This strategy only works if you know exactly who is busy and who is free each week
Fails with bad data: If your tracking is wrong or late, adjusting in small steps can feel vague or uncertain

Skip it if: You rely on late or inaccurate timesheets to check team availability.

Best for: Agencies with changing project work and accurate, real-time data on team hours and sales pipelines.

An agency might default to Lag, panic, and switch to Lead when the team gets overwhelmed. It’s easy to get stuck paying idle staff when work slows down. That means missing Match, which actually protects your profits but requires clear visibility into your team’s workload. Fix your data tracking first, then choose the right approach based on your current pipeline certainty and risk tolerance.

Prefer to watch instead? Here’s a walkthrough of the lead, lead, and match capacity planning strategies:

How To Plan Agency Capacity in 6 Steps

Agency capacity planning works in six steps: calculate real capacity per person, set a billable-hours target, map committed work against the same timeline, match work to the right person, set an alert on hours consumed, and review on a cadence. Steps 1 and 2 build the ceiling. Steps 3 and 4 fill it. Steps 5 and 6 keep it honest once reality starts drifting.

This is the sequence the rest of the article assumes. Run it in order the first time; after that, Steps 5 and 6 are the only ones you repeat weekly.

Step 1: Calculate real capacity per person

Real capacity is the actual time a person can spend on client work. Contracts assume 40 hours a week. But internal tasks take up time. Most agencies skip this step and overcommit their teams.

The formula for calculating capacity at work:

Capacity = People × productive hours/day × working days

Start with total working hours. Then subtract non-client work tasks:

Standing meetings and internal work: Weekly team syncs, internal reviews, and 1-on-1s. These hours are necessary, but clients don’t pay for them
Passing work and writing updates: Time spent writing status notes and moving tasks between team members. This takes 1 to 2 hours every day
Known time off: Holidays and vacation days during the planning period. One week off reduces that person’s monthly hours significantly

Once you subtract these hours, a 40-hour employee often has only 25 hours of real client capacity. Calculate this for each person. Using a team average hides overworked staff behind under-utilized staff.

Pro Tip: If you can’t say where an hour actually goes, don’t count it as capacity. Planning against hours you only assume are free is the fastest way to overcommit.

Step 2: Set your billable-hours target

A billable hours target is the share of each person’s actual capacity that should be devoted to client work. It varies by role.

Designers and developers can sustain 75-85%, and project managers land around 60-70%. Account, strategy, and leadership sit lower because their weeks are mostly non-billable by design. Across the whole agency, a healthy band is 65-80%.

Aim for an agency average of 65% to 80% and never target 100% paid time. Pushing staff above 85% causes burnout, mistakes, and missed deadlines. Always leave extra room for unexpected delays or sick days.

Pro Tip: A single overworked person for a sustained stretch is your next resignation, not a sign of a productive team. Treat it as an emergency now.

Step 3: Map committed work against the same timeline

Place client work and real team hours on a single timeline. Sales and delivery teams often use separate tools. When this happens, agencies promise work they cannot deliver on time.

Your timeline must show three key items:

Signed work: Confirmed projects assigned to specific team members by week
Likely work: Sales deals close to signing. Scale these down by close chance so you don’t hold hours for uncertain deals
Real capacity: Each person’s paid hour limit from Step 2

Look as far ahead as your average sales cycle. If projects take two months to close, your capacity view must look two months ahead.

Step 4: Match work to the right person

Assign tasks based on skill level and pay rate, not just who is free. Free hours are useless if the employee lacks the right skills for the task.

Before assigning work, ask two questions:

Do they have free hours? Check if their billable target has open space this week
Are they at the right skill level? Do not give routine tasks to senior staff. It burns high billable rates on simple work and hurts profit margins

Pro Tip: Protect your team’s time. When experienced staff spend their days on basic work, your agency loses money every hour.

Step 5: Set an alert on hours consumed

Set automatic alerts based on hours spent, not work finished. Completed tasks don’t warn you about lost profits. By the time work ships, the money is gone.

Put simply, a project can look fine when it ships on time. But if the team spent 40% more hours than planned, your profit margin disappears.

When an hour alert triggers early, you can fix the problem:

Rebalance the workload: Move remaining tasks to a team member with free capacity
Adjust project scope: Speak with the client early to bill for extra scope. Do not pay for it yourself
Track hours by phase: Review hour use for each project phase. This keeps early overruns from hiding inside the total project budget

Step 6: Review on a cadence and rebalance early

Pick one person to manage capacity planning, and set two regular review meetings. Workload problems become more costly the longer they go unnoticed. Catching an issue on Monday takes a five-minute chat. Finding it at the end of the month means lost profits and burned-out staff.

When work exceeds capacity, adjust team hours before hiring new staff:

Reassign tasks: Move extra tasks to teammates who are below their billable target
Adjust deadlines: Move flexible start dates forward to buy time without adding cost
Use temporary help: Hire a freelancer for short-term spikes instead of making a permanent hire

Use two review schedules: a weekly review to fix small task delays, and a monthly review to spot long-term hiring needs.

In practice: Digitalli, a luxury brand agency, faced the prerequisite problem these steps assume you’ve solved: project work lived across Trello, email, and calls, so no one had a real view of who was available.

After centralizing into one workspace, they increased order capacity by 30% without adding headcount. The gain came from making work visible in one place, which is exactly what Step 1 requires before the rest can hold.

Capacity Plan Checklist: What Each Step Assumes You Have

Each of the six steps assumes a specific input exists. Audit your plan against this list, and where something is missing, you’ve found the step that will quietly fail. Most plans break at live time data, because every later step reads from it.

A true availability baseline (Step 1): Each person’s real working hours, minus meetings, PTO, and standing commitments
Skill and role mapping (Step 4): A record of who can do which work, so you match on fit and not just open hours
Live time data (Steps 1, 5): Hours captured as the work happens, not reconstructed from memory on Friday afternoon. This is also what makes AI useful: reading live data, it flags who’s over the top of their band and who’s under the floor while there’s still time to rebalance
A billable hours target band (Step 2): A floor and a ceiling, not a single number to push toward
The committed pipeline (Step 3): Signed and likely work mapped against the same timeline as capacity, so you can model a staffing call before you commit to it, not after the sprint misses
Scope boundaries per project (Step 5): Effort caps that make it visible when a project is quietly over-delivering
An overload alert threshold (Step 5): A tripwire at, say, 70% of scoped hours, so you act before the budget is gone
An owner and a review cadence (Step 6): One person accountable, and a recurring check that keeps the plan current
Machine work moved off people: Status updates, routing briefs, recreating recurring tasks, chasing follow-ups, the predictable work handed to an AI agent, so the hours a person spent being a machine go back to billable work

Also Read: How Resource Management Works for Modern Teams

Real-world Examples of Agency Capacity Planning

A 12-client retainer agency, a 9-person creative studio, and a 35-person product shop each plan capacity around a different constraint: hours, role concurrency, and residual bandwidth after retainer obligations. The method that works for one will break another. Here are three models that map to the most common agency structures, each with a distinct unit of capacity and failure mode.

1. Retainer-based marketing agency (12 clients, 18-person team)

A mid-size content and performance marketing agency runs monthly retainers ranging from 20h to 80h per client. The team includes strategists, writers, designers, and media buyers, most of whom touch 3–4 accounts simultaneously.

How capacity planning works here:

The unit of capacity is hours per person per week. Each retainer has a fixed monthly hour bank, so the planning question is: ‘Do we have enough hours across the right skill sets to fulfill every retainer this month, plus leave buffer for revisions?’

The structure looks like:

Demand mapping: Each client’s retainer is broken into recurring deliverables. Each deliverable carries a time estimate based on historical averages
Supply mapping: Each team member has a weekly capacity. Specialists like designers have capacity split across accounts: 12h for Client A, 8h for Client B, 12h for Client C
The collision check: The resource manager looks at the second and fourth weeks of each month, where deliverable deadlines cluster. If two clients both need design-heavy assets in week 3, and the design team’s total capacity for that week is 64h against an estimated demand of 80 h, something has to move forward or back
The rebalancing lever: Shift deliverables without hard external deadlines into lighter weeks, preserving heavy weeks for time-sensitive campaign launches

What distinguishes this use case: Capacity planning here is cyclical and predictable. The challenge isn’t uncertainty; it’s the compounding effect of small overages across many accounts. A 5h overrun on three clients in the same week puts one person 15h over capacity, and the damage shows up as missed deadlines the following week.

2. Creative agency running campaign-based projects (6 active projects, 9-person team)

A brand and campaign agency takes on 2–3 new projects per quarter, each lasting 6–12 weeks. Projects are sequential (strategy → concept → production → launch), and the team is small enough for one overloaded art director to hamper the whole pipeline.

How capacity planning works here:

The unit of capacity is people, not hours. With 9 team members, the constraint is the availability of roles during each project phase.

The structure looks like:

Phase-based demand: Each project moves through defined phases. The strategy phase needs 1 strategist and the CD for 2 weeks. The concept phase needs all 3 designers and 1 copywriter for 3 weeks. Production needs the producer full-time and 2 designers for 4 weeks
The overlap problem: When Project A enters production (needing 2 designers), the same week Project B enters concepting (needing 3 designers), you have 5 designer-weeks of demand against 3 available
Intake gating: The agency won’t sign a new project unless the phase timeline clears existing commitments. The creative director reviews the forward-looking phase map before every proposal goes out, and adjusts start dates in the pitch to avoid collisions
The flex pool: One designer is designated as the ‘swing’ role: primarily on the earliest-stage project, but available to absorb overflow from projects in production. This person’s allocation shifts week to week based on where pressure builds

What distinguishes this use case: Capacity here isn’t about total hours; it’s about role concurrency during specific phases. Two projects can coexist peacefully if they’re in different phases, but two projects in the same phase at the same time overwhelm specific roles while leaving others idle. The planning artifact is a phase-overlay timeline, not an hours spreadsheet.

3. Digital product agency with blended retainer and project work (20 clients, 35-person team)

A web development and product design agency runs a mix: 12 retainer clients generating steady maintenance/feature work, plus 4–6 large build projects running concurrently with fixed delivery dates.

How capacity planning works here:

The challenge is that retainer work is ‘always on’ and absorbs capacity, while project work has hard milestones that can’t flex. The planning question becomes: ‘After retainer obligations are met, how much capacity is available for project milestones this sprint?’

The structure looks like:

Retainer floor: Each developer and designer has a retainer allocation. This is the non-negotiable base. A senior developer might have 16h/week locked to retainer clients before any project work is assigned
Project ceiling: The remaining capacity is the actual amount available for milestone work. Sprint planning for projects draws only from this pool
The visibility trap: When retainer work spikes, it silently eats into the project pool. Without daily visibility into actual vs. allocated retainer hours, the project manager assumes capacity that doesn’t exist
Dual-layer tracking: The agency tracks two numbers for every person every week: retainer hours consumed (actual) and project hours remaining (calculated). If retainer work runs over the allocation by Thursday, the project lead knows Friday’s milestone is at risk and can adjust the scope immediately
Quarterly capacity modeling: Before taking on a new project, the ops lead checks team availability for the next 12 weeks. They factor in retainer work plus a 15% buffer for extra client requests. If bandwidth is tight, they either push back the project start date or hire a freelancer to cover the retainer overflow

What distinguishes this use case: The unique difficulty for agency project management is that capacity isn’t fixed; it fluctuates weekly based on retainer consumption. A person who has 20 project hours this week might only have 12 next week because a retainer client escalated. Planning must account for both variability and averages.

How to Plan Agency Capacity in ClickUp

ClickUp fits agency capacity planning when the problem is visibility. It consolidates the work, time, and team’s real load on a single surface, rather than scattering them across apps and creating work sprawl. That solves the bottleneck this whole article keeps returning to: capacity is invisible because the data is fragmented.

Mapped to the process above, here is how the pieces line up:

Map capacity with the ClickUp Workload View

Each team member gets a row on an infinite-scroll canvas in the ClickUp Workload View, showing their assigned work against a capacity limit you set in hours, points, or task count.

Tasks with a start or due date appear automatically; add time estimates to populate the workload bars. The system spreads each task’s workload evenly across available weekdays between its start and due date. This means a 10-hour task spanning Monday to Friday shows as 2h/day on that person’s bar.

Color coding makes overallocation visible at a glance. When someone’s red, you drag tasks onto someone green, and the reassignment is live. Filter by client or project to isolate capacity per account. This is Step 3 and Step 4 in one view: demand mapped against supply, then rebalanced.

Before attempting it yourself, watch how the Workload View works in ClickUp:

Get per-assignee estimates and billable tagging with Native Time Tracking

Use the ClickUp Native Time Tracking to track time directly on tasks via timer, manual entry, a Chrome extension, or mobile. Each task supports per-assignee estimates, so a deliverable split between a designer (4h) and a copywriter (2h) reflects accurately in both people’s workload bars.

Entries default to billable or non-billable at the Space level, so Spaces designated for client work auto-tag entries correctly. Timesheets have a submission-and-approval workflow with lockable entries, giving finance dependable billing data.

This is the live time data Step 1 depends on. Compare the estimated against the actual across a few project builds, and your capacity math stops being a guess.

Track the billable ratio with ClickUp Dashboards

ClickUp Dashboards for agency capacity planning — *Track billable hours per person, and spot overallocation before it hits your margin with ClickUp Dashboards*

ClickUp Dashboards are modular canvases with 50+ card types. The Time Reporting card groups hours by User → Client, so you see ‘Sarah: 42h this week, 35h on Client X’ without exporting anything. The Billable Report card gives you the billable ratio for any period, per person or per account, which is how you tell whether anyone has slipped outside their 65-80% band.

Share dashboards with clients as view-only guests, and they stop pinging you for status updates, which claws back a slice of the coordination drag this article opened with.

Close the awareness gap between review meetings

Agency work is sequential (brief → copy → design → review → publish), so one missed deadline cascades unless the schedule repairs itself. ClickUp Dependencies auto-reschedule dependent tasks when a deliverable slips, and ClickUp Automations handle the escalation (“when a task becomes overdue → notify the assignee’s manager”).

The bigger lever is Step 6. A weekly review catches overload once a week; the rest of the week, you’re blind. The Team Workload Balancer Super Agent scans actual task data, flags uneven distribution, and recommends specific reassignments based on availability and skill match. Trigger it on a schedule, and the analysis runs whether or not anyone remembers to look.

Build your first Super Agent and start saving hours at work:

That’s the machine work coming off people: the status chasing and the load monitoring that never needed a human in the first place.

Honest limitation: Learning curve for agencies migrating from simpler tools like Teamwork or Basecamp. The flexibility means more upfront setup decisions; teams with fewer than 5 people may find it more structured than they need for the first few months.

Who it’s for: ClickUp is best suited for agencies that manage 5+ concurrent clients, have team members working across accounts, and need the time-tracked-on-task-linked-to-billing loop closed in one system. Dedicated resource planning tools like Float and Runn are strong at the scheduling layer specifically, and if your tasks already live somewhere you’re happy with, that focus is an advantage. ClickUp makes the opposite trade: less specialization in the scheduling view, one place for the work and the hours.

For agencies with fewer than 10 active projects and no billable-hour pressure, a simpler tool paired with a shared calendar will be faster to adopt and sufficient for the workload.

What Separates Agencies That Scale From Agencies That Stall

Scaling agencies close the gap between when overload happens and when someone sees it. Stalling agencies let that gap compound until the deadline passes or the margin erodes. The difference comes down to one red flag: work exceeding visible capacity with no one noticing in time.

Do these three things to reach a solution: track demand in the same place you execute work, measure capacity in the unit that actually constrains you, and build a rebalancing trigger that fires before the damage compounds, not after.

ClickUp does all three in one workspace: your tasks, time entries, and workload limits live on the same surface, so the plan updates in real time as reality changes. Build your capacity system here, free.

Frequently Asked Questions About Agency Capacity Planning

How do you calculate the utilization rate?

Utilization rate = billable hours ÷ total available hours × 100. If someone has 40 available hours in a week and 30 go to client work, that’s 75% utilization. There are two versions worth tracking separately: billable utilization (the hours a client actually pays for) and resource utilization (all productive work, including non-billable tasks such as internal projects and admin). Billable utilization is the one tied to revenue and margin; resource utilization tells you how much of the team’s time is being used at all. Track both, because a person can look fully deployed on resource utilization while their billable number drops.

When should an agency hire instead of redistributing work?

As an agency, hire only after you’ve made existing capacity visible and confirmed the overload is structural, not a coordination leak. Redistribute the load, flex a deadline, or bring in a contractor for a defined spike first; a permanent hire should solve a sustained trend, not a temporary surge.

How far in advance should an agency plan capacity?

Agencies should maintain a two-tier rolling timeline. Lock in hard allocations 2 to 4 weeks out based strictly on signed client contracts. Then, look 2 to 3 months out with soft allocations tied to high-probability sales deals with a 70% or higher close confidence. Planning beyond 90 days can be inaccurate due to client scope changes and deal churn.

What is the best tool for agency capacity planning?

The best capacity planning tool is the one that puts work, time, and team load on a single surface, since fragmented data is what makes capacity invisible. Options range from spreadsheets, which work for small teams tracking a few metrics, to dedicated resource tools and all-in-one platforms like ClickUp. The latter combines a Workload View, in-task time tracking, and dashboards. Match the tool to your team size and the number of accounts you coordinate.

How do you plan capacity for non-billable roles, such as project managers or the ops team?

Non-billable staff do not sell billable hours, so standard utilization formulas do not apply to them. Plan these roles using account-load ratios instead, such as assigning one Project Manager to every four active client pods or to every $50K in monthly recurring revenue. For operations and leadership, track their costs as an overhead ratio, keeping total non-billable salaries below 15% to 20% of gross agency revenue.

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Agency Capacity Planning: How to Find the Hours You Already Pay For

What Is Agency Capacity Planning?

Why Capacity Planning Decides Your Margin