Sales Ramp-Time Calculator
Enter your average deal cycle, quota, and onboarding structure to see how many months until a new rep hits full productivity, plus a stage-by-stage diagnostic for exactly where your ramp is bloated.
How to use it
Plug your numbers into the 3-part formula for a baseline ramp estimate, then run the Ramp Bloat Diagnostic against your actual onboarding stage durations to find which single stage is costing you the most months.
What's inside
- The 5 inputs you need
- Full ramp-time formula, broken into 3 components
- Fully worked example
- Standard quota-attainment ramp curve (fill-in table)
- Ramp-stage benchmark ranges by deal complexity
- Ramp Bloat Diagnostic worksheet
- Cost-of-bloated-ramp formula
Two questions this answers: (1) how many months should it realistically take a new rep to reach full quota-carrying productivity, and (2) which stage of your current onboarding is padding that number beyond what it should be.
Step 1: Gather your 5 inputs
| # | Input | Your number |
|---|---|---|
| 1 | Structured onboarding length (weeks): classroom + product training before any live selling | |
| 2 | Average sales-cycle length (days), first touch to close | |
| 3 | Pipeline coverage ratio your team requires (industry standard: 3–4x quota in open pipeline) | |
| 4 | Certification / admin buffer (weeks between onboarding end and full solo clearance) | |
| 5 | Annual quota ($) and average deal size / ACV, used only for the bloat-cost calc in Step 4 |
Step 2, Ramp-time formula
``` Months to first qualified pipeline = (Onboarding weeks ÷ 4.33) + (Avg sales-cycle days ÷ 30)
Months to full pipeline coverage = (Pipeline coverage ratio − 1) × (Avg sales-cycle days ÷ 30)
Certification / admin buffer (months) = Buffer weeks ÷ 4.33
Total ramp time (months to full productivity) = Months to first qualified pipeline
- Months to full pipeline coverage
- Certification / admin buffer
```
Worked example: 4-week onboarding, 60-day sales cycle, 3x pipeline coverage required, 1-week certification buffer:
``` Months to first qualified pipeline = (4 ÷ 4.33) + (60 ÷ 30) = 0.92 + 2.00 = 2.92 Months to full pipeline coverage = (3 − 1) × (60 ÷ 30) = 2 × 2.00 = 4.00 Certification / admin buffer = 1 ÷ 4.33 = 0.23
Total ramp time ≈ 2.92 + 4.00 + 0.23 = 7.15 months ```
This rep should be a fully-loaded, full-quota contributor by roughly month 7: not month 3, and not month 12. If your actual data says otherwise in either direction, go to the diagnostic below before you change the number.
Step 3: Standard quota-attainment ramp curve
Use this to set realistic monthly quota expectations rather than treating month 1 and month 7 the same:
| Month | % of full quota expected |
|---|---|
| 1–2 | 0% (onboarding + first pipeline build) |
| 3 | 25% |
| 4 | 50% |
| 5 | 75% |
| 6 | 90% |
| 7+ | 100% |
Adjust the curve to match the "Total ramp time" you calculated above: if your total came out to 5 months instead of 7, compress the curve proportionally rather than leaving it generic.
Step 4, Ramp Bloat Diagnostic
Benchmark ranges below are typical; complex/enterprise motions run longer than SMB/transactional ones. Fill in your actual durations and flag anything that exceeds the range.
| Stage | Benchmark range (SMB/transactional) | Benchmark range (mid-market/enterprise) | Your actual | Bloat? |
|---|---|---|---|---|
| Classroom / product training | 1–2 weeks | 3–6 weeks | ||
| Shadowing | 1–2 weeks | 2–4 weeks | ||
| Certification exam sat by | Day 21–30 | Day 30–45 | ||
| Supervised solo (training wheels on) | 30 days | 30–60 days | ||
| Full solo / full pipeline ownership | By day 60 | By day 90–120 |
How to use this table: whichever stage shows the largest gap between benchmark and actual is where you'll get the most ramp-time back for the least effort. It is very rarely "the product is too complicated": it's almost always an unclear certification gate, shadowing with no structured debrief, or a manager who hasn't been told when to cut the training wheels.
Step 5: Cost of a bloated ramp
`` Cost of bloated ramp = Extra ramp months × (Fully-loaded annual comp ÷ 12) × (1 − Average ramp-period productivity %) ``
Worked example: 2 extra months of bloat, $90,000 fully-loaded comp, rep averaging 30% productivity during the bloated months:
`` Cost = 2 × ($90,000 ÷ 12) × (1 − 30%) = 2 × $7,500 × 70% = $10,500 per rep ``
Multiply by the number of reps hired per year to see the annualized cost of leaving the bloat in place, this is the number to bring to whoever owns the onboarding budget when proposing a fix.