Cost to hire + ramp vs. ARR contributed. Justify the headcount ask with numbers finance respects.
| Month | Status | Revenue This Month | Cumulative Revenue | Cumulative Cost | Net |
|---|---|---|---|---|---|
| 1 | Ramping | $105K | $105K | $116K | -$11K |
| 2 | Ramping | $105K | $210K | $173K | $38K |
| 3 | Ramping | $105K | $315K | $229K | $86K |
| 4 | Ramping | $105K | $420K | $285K | $135K |
| 5 | Ramped | $225K | $645K | $341K | $304K |
| 6 | Ramped | $225K | $870K | $398K | $473K |
| 7 | Ramped | $225K | $1.1M | $454K | $641K |
| 8 | Ramped | $225K | $1.3M | $510K | $810K |
| 9 | Ramped | $225K | $1.5M | $566K | $979K |
| 10 | Ramped | $225K | $1.8M | $623K | $1.1M |
| 11 | Ramped | $225K | $2.0M | $679K | $1.3M |
| 12 | Ramped | $225K | $2.2M | $735K | $1.5M |
Every VP of Sales knows they need more headcount. Most lose the argument with finance because they pitch the revenue potential without modeling the cost, timing, and risk. The hiring ROI framework forces you to build both sides of the equation: what the rep will cost — fully loaded, including the ramp period where they produce little — and what they'll generate, using phased ramp productivity applied to quota and attainment assumptions.
The insight that usually wins the argument is break-even math. A rep hired today costs roughly $X to hire and ramp, and breaks even — generates revenue exceeding cost — by month N. After break-even, every month is net positive contribution to ARR. Show this with a monthly table and finance will follow. The risk framing that seals it: model three scenarios — optimistic (fast ramp, high attainment), base (median ramp, typical attainment), and conservative (slow ramp, below-average attainment). Show that even in the conservative case, the hire is ROI-positive within 18 months. Benchmark: most B2B SaaS reps break even between months 8–14. Enterprise reps with longer ramp and higher OTE often take 12–18 months to break even.
(Revenue Generated over Period − Fully Loaded Cost over Period) ÷ Fully Loaded Cost × 100. Use a 12 or 24-month horizon. Include ramp-phase productivity (typically 25–60% of quota in months 1–4) and apply expected attainment (not 100% quota — model at realistic 70–80% attainment).
The number of months until the cumulative revenue a rep generates equals the cumulative cost of employing them. Most B2B SaaS reps have an 8–14 month payback period. Enterprise reps can be 12–18 months. Below 9 months is excellent; above 18 months should be scrutinized.
Build a model showing fully loaded cost (not just OTE), ramp-adjusted revenue contribution by month, cumulative cost vs. cumulative revenue, and break-even month. Add a conservative scenario. CFOs respond to break-even logic, not revenue potential pitches.
In your first year model, use 70–75% of quota as a realistic attainment assumption for a new rep. Top performers may hit 90–100%, but modeling at 100% will make your ROI case look inflated. The goal is to show the investment is positive even at realistic productivity.
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