Revenue Operations · Free calculator

Sales Ramp & Time-to-Productivity Calculator

Model new-hire sales productivity month-by-month, loaded ramp cost, capacity loss, and the break-even month. Editable ramp curve for SDR, SMB AE, mid-market, enterprise, or CSM.

Disclaimer: Editable assumptions, not benchmarks. Every RevOps model is only as honest as its inputs — attainment, ramp curve, win rate, and stage probability are what actually determine the answer. Use conservative/base/aggressive scenarios before committing.

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$1,000,000
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$90,000
$90,000
$15,000
$8,000
75%
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Formula used

Ramp cost & break-even

Two numbers matter: capacity loss (revenue you miss during ramp) and break-even (when the hire pays back their loaded cost). SMB AEs usually break even in 8–10 months; enterprise reps can take 14–18. If a role can't break even in Year 1, revisit quota or ramp assumptions before hiring.

Ramp revenue = Σ(monthly quota × productivity%) • Break-even = month when Σ(GM contribution − salary) ≥ recruiting + training
SMB AE ramp (median)
3–4 mo
Mid-market AE ramp
6–9 mo
Enterprise AE ramp
9–12 mo
Break-even (fully loaded)
10–14 mo
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<iframe src="https://revenuelab.fyi/embed/sales-ramp-calculator?annualQuota=1000000&rampMonths=6&mo1Pct=15&midRampPct=50&baseSalary=90000&variableComp=90000&recruitingCost=15000&trainingCost=8000&grossMarginPct=75" width="100%" height="680" style="border:0;border-radius:12px;max-width:100%" loading="lazy" title="Sales Ramp & Time-to-Productivity Calculator"></iframe>
<p style="font:12px/1.4 system-ui;color:#666;margin:6px 0 0">Calculator by <a href="https://revenuelab.fyi/sales-ramp-calculator?annualQuota=1000000&rampMonths=6&mo1Pct=15&midRampPct=50&baseSalary=90000&variableComp=90000&recruitingCost=15000&trainingCost=8000&grossMarginPct=75" target="_blank" rel="noopener">RevenueLab</a></p>

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<p>Source: <a href="https://revenuelab.fyi/sales-ramp-calculator" target="_blank" rel="noopener">Sales Ramp & Time-to-Productivity Calculator — RevenueLab</a> (2026).</p>
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Source: [Sales Ramp & Time-to-Productivity Calculator — RevenueLab](https://revenuelab.fyi/sales-ramp-calculator) (2026).

Why ramp is really a curve

Ramp isn't a switch that flips at month 6. A typical AE hits 15–25% of quota in month 1, 40–55% by month 3–4, 70–85% by month 5–6, then 100%. Integrate under that curve and the average productivity across a 6-month ramp is 50% — not the '75% by month 4' most plans assume.

Loaded cost is more than salary

The real Year-1 cost is base + variable earned + recruiting + training + manager/enablement time. For a mid-market AE that's usually $180K–$250K all-in. Compare that against Year-1 gross-margin contribution to see if the hire is actually accretive.

When to speed up ramp instead of hiring

If your ramp is > 9 months on SMB deals or > 12 months mid-market, you're leaving huge capacity on the table. A tighter onboarding program that cuts ramp by 2 months often outperforms adding a whole new hire.

FAQ

How do I know my real ramp curve?

Pull the average monthly attainment for reps in their first 6–12 months from your CRM. That's your empirical ramp curve — use it here instead of defaults.

Should manager time be in the loaded cost?

Yes, if you want the real number. A rough proxy: 4 hours/week of manager time for the first 6 months at $150/hour fully loaded = about $15K.

Does gross margin really matter for the break-even?

A lot. At 75% GM a $500K deal contributes $375K; at 55% (services-heavy) it's $275K. Break-even shifts by months.

What about attrition risk during ramp?

This calculator assumes the rep completes ramp. If your ramp attrition is >15%, discount expected contribution by that percentage or the break-even is optimistic.

Can I model a role change (SDR → AE)?

Yes — set a shorter ramp (2–3 mo) and higher month-1 productivity (30–40%) to reflect the internal candidate's ramp advantage.

How this calculator is built

Independently maintained

Written by Sam Doshi and the RevenueLab editorial team. We don't sell the data feeds this tool is built on.

Sourced from primary data

Benchmarks come from public AdSense / Stripe / IRS disclosures and reader-submitted data — never third-party "$X per view" claims. Full methodology.

Last reviewed

July 2026. We re-check every figure on the platform on a rolling quarterly cycle.

Editorial standards

See our editorial policy and disclaimer. Results are estimates, not advice.