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Pipeline & Forecasting

Quota Planning

ORM Technologies
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Definition The process of setting revenue targets for individual sales reps, teams, and territories based on market potential, historical performance, pipeline capacity, and company growth objectives.

What does quota planning determine?

Quota planning sets the revenue each rep, team and territory is expected to produce, and checks that the plan adds up to the company target. It drives compensation, hiring, morale and revenue predictability. Set quotas too high and reps disengage. Set them too low and the company misses its growth target.

What does a quota plan have to reconcile?

Four numbers that are rarely the same:

NumberWhat it isWhere it comes from
Revenue targetWhat the company needsBoard and leadership
Assigned quotaThe sum of every rep's numberThe quota plan
Productive quotaWhat that quota is likely to produceAttainment history by role, region and tenure
Territory potentialWhat the market can supportAddressable market by territory
The mistake is treating assigned quota as if every dollar of it has the same chance of turning into revenue. It does not. A new AE in one region and a tenured account manager in another are different bets.

Here is a hypothetical example. A company needs $20 million from ten reps, so each carries $2 million. At a healthy average attainment of 75% to 80%, that $20 million of quota produces $15 million to $16 million. If three of the ten are new hires still ramping, it produces less again. The gap to $20 million is information about capacity. Inflating quotas does not close it.

How do you plan quota when last year's data is unreliable?

Work out why it is unreliable first. High turnover, a change in the market and a new competitor each call for a different fix. Then:

- Look at productivity over about three years, not just last year. - Build ramp rates by position and region. When ramp assumptions fail, it is usually because turnover lowered average tenure. In ORM customer data it can take a seller 15 to 18 months to confidently hit quota. - Check market potential. If selling got harder or easier, adjust quota or the comp plan to match.

What should a quota plan document?

Every assumption, every year, with a note on what changed and why:

AssumptionWhat to record
Ramp ratesBy position and by region or territory
Addressable marketIncluding the minimum and maximum headcount each region can support
Operating assumptionsAverage sales price, win rate and days to close
Then compare the productive capacity those assumptions produce with the revenue target.

When should you add heads instead of raising quota?

When the target is bigger than the team can produce. If hitting the plan would take average attainment down toward 50%, you have a capacity problem. The answer is more productive sellers, more addressable market, better conversion or better pricing. Keep quotas relatively consistent and hire in markets that can support more heads. Quota changes make sense for shaping behavior, such as quota relief or a multiple for a strategic product, rather than for closing a revenue gap.

What is the pipeline math behind a quota?

Every quota needs a pipeline plan. A rep with a $1 million quota and a 25% win rate needs about $4 million of pipeline to have a real shot. Work back from quota to pipeline, then from pipeline to the activity it takes to create it. If that activity is impossible, change the quota, add headcount or raise marketing's pipeline contribution. See pipeline coverage and sales quota.

Frequently Asked Questions

How should sales quotas be set?

Start with the revenue target, then check it against what the team can actually produce. Model productivity by role and region, plan for average attainment around 75% to 80%, and treat any gap as a capacity question rather than a reason to raise quota.

What should average quota attainment be?

Around 75% to 80% of quota, with some reps below and some above. If the plan only works when the average rep reaches 100%, it is short of selling capacity. If it needs average attainment near 50%, the gap is far too big for quota to fix.

How much should quotas change year over year?

Less than most companies think. Quotas for SaaS account executives tend to stay in established ranges, around $500,000 to $1 million, and $1 million or more for enterprise sellers. Grow by adding sellers in markets that can support them rather than by raising everyone's number.

Put these metrics to work

ORM builds custom revenue forecast models that turn concepts like quota planning into prescriptive action for your team.

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