Sales Velocity Sensitivity Calculator
How fast your pipeline turns into revenue, and which of the four levers moves it most.
Example scenario—not a forecast or verified benchmark. Enable JavaScript to edit inputs, view charts, save locally and export your analysis.
Example inputs
- Qualified opportunities in pipeline
- 120
- Win rate
- 25
- Average deal size
- 12,000
- Average sales cycle
- 45
- Improvement to test on each lever
- 10
- Annual revenue target from new deals
- 3,500,000
Example results
Sales velocity is $8,000/day ($2.9M a year); a 10% improvement in cycle time adds the most, $324K a year.
- Sales velocity (revenue per day)
- $8,000
- Annualized revenue from pipeline
- $2,920,000
- Gain from best lever (Shorter cycle)
- $324,444
- Gain if all four improve 10%
- $1,398,356
- Gap to revenue target
- $580,000
- Won deals per month
- 20
What stands out
Your pipeline generates $8,000 of revenue per day
120 opportunities × 25% win rate × $12,000 ÷ 45 days, or about 20 won deals a month.
Shorter cycle is the strongest single lever (+$324K/yr)
Cutting cycle time 10% lifts velocity 11.1% because cycle length divides the whole equation. Levers to pull: fewer handoffs, faster quotes, clear next steps on every deal.
All four levers together add $1.4M (+48%)
Improvements multiply rather than add, so modest gains on every lever beat a heroic push on one.
$580K short of your $3.5M target
Closing it with one lever would take +20% opportunities, or +20% deal size, or a 17% shorter cycle.
Next actions
- Make cycle time the 90-day focus: fewer handoffs, faster quotes, clear next steps on every deal.
- Review every deal older than 1.5x your average cycle weekly; advance it with a dated next step or close it out.
- Track the four inputs monthly by rep so you can see which lever each person needs, not just the revenue total.
Model assumptions & limitations
- Sales velocity = opportunities × win rate × average deal size ÷ sales cycle length (days).
- Annualized revenue assumes the pipeline is replenished at its current size.
- Each lever is tested in isolation; real changes interact (e.g. bigger deals often lengthen the cycle).
- Win rate is capped at 100% in scenarios.