Sales Capacity and Quota Calculator

What a sales capacity model does

A sales capacity model answers one question: with the account executives (AEs) you have and the ones you plan to hire, how much new business can you book this year? It is the bottom-up check on a top-down revenue target. This calculator covers bookings capacity and the pipeline behind it. To see what the same hires cost and how they affect burn, use the headcount and hiring plan calculator.

The formulas

• Capacity per ramped AE = annual quota × expected attainment.
• Ramp (linear): with a ramp of R months, a new AE books 1/(R+1) of a ramped AE in their first month, 2/(R+1) in the second, and so on, reaching 100% in month R+1. Output across the ramp averages 50%, so the ramp costs R/2 months of full production.
• Monthly capacity = effective ramped AEs that month × capacity per ramped AE ÷ 12.
• Attrition (optional): an annual rate becomes a monthly survival rate, and departed AEs are not replaced. To model a backfill, add it as a hire.
• Pipeline needed = bookings ÷ win rate, so the coverage you need is 1 ÷ win rate.
• Pipeline that must be open today = bookings due within one sales cycle ÷ win rate. A deal opened today cannot close before then.

Worked example (the default inputs)

The defaults are an illustrative team. Quota is $875,000, the 2026 median for SaaS companies in the Bridge Group's AE report, and planned attainment is 75%, so a ramped AE is worth $875,000 × 75% = $656,250 of new ARR a year. There are 3 ramped AEs, 2 hires starting in month 1, 1 in month 4, and a 6-month ramp.

The month-1 hires produce 1/7 to 6/7 of a ramped AE across months 1 to 6 (3 months of output in total), then 6 full months: 9 months, or 0.75 of a year each. The month-4 hire gets 3 months of ramp output plus 3 full months: 0.5 of a year. That is 3 + 0.75 + 0.75 + 0.5 = 5.0 effective AE-years, and 5.0 × $656,250 = $3,281,250 of capacity. Month 1 books about $179,688; from month 10, with everyone ramped, $328,125.

Against a $3.5M target that is 94%, a gap of $218,750. One extra AE starting in month 1 adds $492,188 this year, so one is enough, but only if they start by month 6: a month-6 hire adds exactly $218,750. A month-9 start adds $78,125, so it would take 3 of them. With 20% annual attrition and no backfill, capacity drops to about $2.95M.

For pipeline: at a 25% win rate you need 1 ÷ 25% = 4.0x coverage, or $14M of pipeline over the year, about 117 deals at a $30,000 ACV from roughly 467 opportunities. With a 3-month cycle, the $875,000 due in the next three months must come from deals open today, which needs $3.5M of open pipeline. With $2.5M open, coverage is 2.9x and the team is $1.0M short before the year starts.

Where the benchmarks come from

The Bridge Group's 2026 AE Models, Motions and Metrics report (158 B2B companies, published June 22, 2026) puts the median AE quota at $960K overall and $875K for SaaS companies, the average ramp to full productivity at 6.2 months, the highest in the study's history, and the share of reps at quota at 48%, down from 51% in 2024. Ebsta and Pavilion's 2025 GTM Benchmarks report found that 78% of sellers missed quota, up from 69% a year earlier, reported a new-logo win rate of 19%, and found new-business deals took 91 days on average against 52 days for expansion deals.

Two cautions. "48% of reps at quota" is not the same as "average attainment of 48%": reps below quota still book something. And the 3x pipeline coverage rule is a rule of thumb, not a benchmark. Jason Jordan, writing on Salesforce's blog, points out that 3x only works if your win rate is about 33% and your sales cycle is a full year. At the 19% win rate in the Ebsta data, 1 ÷ 19% is about 5.3x.

Sales capacity is one step of an annual operating plan, and win rate and cycle length come from the funnel described in the SaaS growth funnel guide.

The calculator assumes a linear ramp, one quota for every AE, bookings spread evenly within a month and no backfill for attrition. It models new ARR bookings, not recognized revenue. It is a planning estimate.

Sources: Bridge Group, 2026 AE Models, Motions and Metrics; Ebsta and Pavilion, 2025 GTM Benchmarks; Jason Jordan, "Why 3x Pipeline Coverage Is a Terrible Strategy", Salesforce, 2023. Read October 21, 2026.