What a Good Sales Quota Actually Looks Like — and How Most Companies Set It Wrong

Most B2B companies set sales quota the same way. Take the revenue target. Divide by the number of reps. Adjust slightly for territory size and tenure. Hand it down.

That produces a number. It does not produce a plan.

The difference matters more than most sales leaders realise — and the gap between the two shows up, reliably, in Q3 and Q4 when teams that started the year with aggressive targets begin missing them and nobody can explain why without going back to re-examine assumptions that were never actually validated in the first place.

The Problem With Top-Down Quota

Top-down quota starts from what the business needs and works backward to the rep level. Revenue target of €4 million, eight reps, average €500,000 per rep. Clean, fast, presentable at a board meeting.

It also ignores almost everything relevant to whether that number is achievable.

It does not account for how many qualified opportunities a rep can realistically manage at once. It does not factor in time lost to account management, onboarding, internal meetings, or admin. It does not separate the quota for a rep who has been in territory for three years from the quota for someone who joined six months ago and is still ramping. And it has no connection to the actual pipeline that exists today.

The result is a number that looks rational at the top and breaks in the field.

What Quota Derivation Actually Requires

A quota built from reality starts from the bottom and works up. Here is the model:

Step 1: Start with available selling time

A rep has roughly 220 working days per year. Subtract onboarding, internal meetings, training, admin, and account management time for existing clients. In a typical IT services business, that leaves 130 to 150 days of actual selling capacity per rep per year.

Step 2: Apply historical close rates

If a rep closes 25% of qualified opportunities and the average deal size is €60,000, they need to work roughly 4 qualified opportunities to generate one closed deal worth €60,000. With 150 selling days and an average sales cycle of 45 days, a rep can realistically work through 3 to 4 deal cycles per quarter.

That produces a realistic quarterly ceiling of 3 to 4 deals x €60,000 = €180,000 to €240,000 per rep per quarter — not the €500,000 annual figure divided by four.

Step 3: Segment by rep maturity

A ramping rep in their first two quarters closes at roughly 40 to 60% of their eventual steady-state rate. Assigning them the same quota as a veteran rep does not create ambition — it creates a rep who starts the year already behind and spends the rest of it demoralised.

The Gap This Creates — in Euros

Here is what the difference looks like across a team of eight reps.

Top-down approach: €4 million ÷ 8 reps = €500,000 per rep per year.

Bottom-up derivation: 2 ramping reps at 60% capacity (€300,000 each) + 6 experienced reps at €420,000 realistic ceiling = €600,000 + €2,520,000 = €3,120,000.

That is a €880,000 gap between the top-down target and what the team can realistically deliver — sitting unresolved on day one of the planning year. Companies that do not surface this gap early do not avoid it. They discover it in September.

How This Changes With a Planning Layer

When quota is derived rather than imposed, the planning conversation changes completely. Instead of defending a number handed down from above, the sales leader and the rep are both working from the same data — available capacity, historical close rates, territory potential. The quota becomes a shared commitment, not a performance target handed down from a spreadsheet. The quota and capacity planning module inside Sales Planner is built specifically for this derivation: connecting individual rep capacity to team quota, and team quota to the overall revenue plan — so the number the board sees is one everyone in the building can stand behind.

The Signals That Your Quota Process Is Broken

• Reps consistently forecast at 90% and close at 60% or below — the quota was not believable from the start.
• The same rep performs vastly differently quarter to quarter with no change in territory or pipeline — the quota has no connection to actual capacity.
• New reps are behind their quota by week six of their first quarter — onboarding and ramp time were not factored in.
• The team hits quota in Q1 and Q2, then misses in Q3 and Q4 — seasonal capacity was not modelled.

These are structural problems, not performance problems. The fix is not a better incentive scheme. It is a quota methodology built from data. See how IT companies and MSPs apply this model in practice →

The Bottom Line

A quota that was not derived from reality is not a target. It is a hope with a number attached. Sales Planner gives your team the planning infrastructure to build quota from the bottom up — from rep capacity, close rates, and territory data — so the number you commit to at the start of the year is one you can actually defend at the end of it. Speak with Andreas Dorsch to run your current quota assumptions through a capacity model and find out where the gap is hiding.