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.
Related terms
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