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Metrics

Ramp Time

Ramp time is the number of months from a sales rep's start date to consistent full-quota productivity, used to model sales capacity, comp plan accelerators, and hiring ROI.

What Is Ramp Time?

Ramp time is the number of months from a sales rep's start date to the first month they are expected to consistently produce at full quota. It's a planning assumption, a comp design input, and — for honest companies — a hiring covenant. Three months for a transactional SDR-led motion. Six to nine for mid-market. Nine to fifteen for enterprise field reps selling six-figure deals into committee buying processes.

Ramp time is not the day the rep stops being new. It's the day the rep is expected to carry a full bag and the spreadsheet stops giving them prorated credit.

How Ramp Time Is Calculated

Two methods coexist and they produce different answers.

Time-to-productivity measures the gap between start date and the first month a rep books at or above 100% of monthly target — or the average across reps in a hire cohort crossing that threshold. Comp-plan ramp is the schedule baked into the offer letter: prorated quota and guaranteed draw in the first N months regardless of bookings.

Segment Median time-to-productivity Comp-plan ramp What's happening
SMB / transactional 2–3 months 3 months Short cycles, leads handed in, fast feedback loop
Mid-market 4–6 months 6 months Some prospecting, 30–90 day cycles
Enterprise field 9–12 months 9–12 months Pipeline must be built; first deal lands quarter 3+
Strategic / named accounts 12–18 months 12 months Multi-year cycles, quota-bearing year often year 2

A simple version of the math: if quota is $1.2M annual and ramp is 9 months on a 1/3, 1/3, 1/3 schedule, prorated targets are $300K, $600K, $900K, then full $1.2M annualized in month 10. Reps below 70% of prorated quota in month 6 are statistically unlikely to ramp at all — a finding that has held across multiple sales-ops studies of enterprise reps over the last decade.

Worked Ramp Time Example

A Series B company hires four enterprise AEs at the same time, $1.4M annual quota, 9-month ramp. Rep A closes $180K in Q1, $240K in Q2, $410K in Q3 — against a stairstep of $116K/$233K/$350K, that's 154%, 103%, 117%. Rep A is ramped on schedule. Rep B closes $40K, $90K, $190K — that's 35%, 39%, 54%. Rep B is statistically a non-ramper, and the VP Sales who waits until month 12 to act on that signal has lit roughly $200K of fully-loaded comp on fire.

When Sales Teams Use Ramp Time

VP Sales uses ramp time to model headcount: hiring an enterprise rep in May at a 9-month ramp produces meaningful pipeline in November and meaningful bookings in February. RevOps uses it for capacity — a 40-rep team with 8 reps still ramping isn't a 40-rep team, it's roughly 32 rep-equivalents. Finance uses it for hiring ROI and to set the LTV of a sales hire. Recruiters use it to pressure-test a candidate's claim of "ramped at last company" by asking for the quarterly attainment in months 4–9, not the trailing twelve. And Alpha Score uses it to normalize attainment — a rep at 60% of quota in month 5 of a 9-month ramp is performing very differently from a rep at 60% in month 18.

Common Ramp Time Gaming Patterns

Three patterns. First: companies inflate published ramp time so reps look good against an easy target — "our enterprise ramp is 12 months" when the real expected productivity is 6. Second: reps and managers quietly agree to count house accounts and inherited renewals against ramp quota, making month-3 attainment look great while net-new pipeline stays empty. Third: the offer letter promises a 9-month ramp and the comp plan claws back the accelerator in month 7 — the rep ramped on the company's schedule and got penalized on a different one. Each of these shows up in the data as a gap between time-to-productivity and what the company tells candidates and investors. Honest ramp numbers, like honest no-decision rate numbers, are a tell about the rest of the operation.

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