01ROI calculator
What is your commercial engine costing you?
A two minute estimate built from your inputs and 2026 benchmarks.
Your primary motion. Every assumption stays editable below.
Inputs
Assumptions, current and target, if you want to adjust them
Quota, OTE and ramp defaults are published 2026 benchmarks by segment. Loaded cost applies a 1.3x burden multiplier to OTE. Attainment and turnover are blended across segments because the published data is not segmented.
Fixed in the model, not editable: $160k per non-quota commercial head, 40 to 60 percent of quota delivered while ramping, one month of ramp gain that applies once ramp is three months or longer, and a 20 percent band on either side of every range.
WHERE YOU ARE
=(6 × $265k) + (1 × $160k) + $72k tooling ÷ $8.0M ARR
=$8.0M ÷ 7 people
Sales and marketing spend runs 35 to 37 percent of revenue at the median across stages. You are running lean against it.
4 hires a year. Your plan needs 2 to grow into the target and 3 to replace the people who leave.
=(11 − 6) ÷ 3 growth, plus 8 × 32% replacement
WHERE THE OPPORTUNITY SITS, USD A YEAR
Cost savings
Unused software
Between 25 and 66 percent of SaaS licenses sit unused or underutilized. This is a line item audit, not a claim.
=$72k annual tooling × 25% unused
Sales capacity
Quota attainment
43 to 48 percent of reps hit quota today against a 60 to 65 percent pre-2022 baseline. Top quartile teams run 60 to 75 percent.
=1.5 fewer reps × $265k fully loaded
Earlier productivity
Ramp time
AE ramp averages 5.7 months and has grown 32 percent since 2020. Reps produce 30 to 70 percent of quota while ramping. We model one month of improvement only, because it is the number we are confident we deliver.
=4.2 hires a year × one month earlier, at 40–60% of a ramped rep's output
Three different kinds of value, deliberately not added together. Cash you stop spending, capacity you stop buying, and output that arrives sooner do not stack cleanly, and we will not pretend they do.
Illustrative estimates based on your inputs and benchmark assumptions, not guaranteed savings. The diagnostic replaces every benchmark here with your own data.
WHAT THAT MEANS
=$72k annual tooling × 25% unused
=1.5 fewer reps × $265k fully loaded
=4.2 hires a year × one month earlier, at 40–60% of a ramped rep's output
Each figure stands on its own. Which of the three is real, achievable and worth pursuing is exactly what the diagnostic establishes, using your data instead of benchmarks.
Next step
Validate the opportunity with Foundry.
This is an estimate. The two-week diagnostic replaces every assumption here with your own data. How it works