Most outbound ROI arguments fail because they start from meetings and work backwards. This starts from what you spend. The scenario column uses assumptions you set, not numbers we claim. Runs in your browser; nothing is stored.
| Metric | Current | Scenario | Δ |
|---|---|---|---|
| Monthly outbound cost | $21,250 | $21,250 | |
| Meetings / month | 30.0 | 30.0 | |
| Meeting to opp rate | 40% | 40% | |
| Opportunities / month | 12.0 | 12.0 | |
| Pipeline created / month | $288,000 | $288,000 | |
| Closed deals / month | 2.40 | 2.40 | |
| New revenue / month | $57,600 | $57,600 | |
| Cost per meeting | $708 | $708 | |
| Cost per opportunity | $1,771 | $1,771 | |
| Cost per closed deal | $8,854 | $8,854 | |
| ROI (revenue less cost, over cost) | 171% | 171% |
Cost per meeting is total monthly outbound cost divided by meetings. It is the number that should be on every pipeline review. Cost per opportunity divides again by the meeting-to-opportunity rate; most teams discover this is three to five times what they assumed. Cost per closed deal divides by win rate and should be compared with ACV: if it exceeds a third of first-year ACV, outbound is being subsidised by something else.
The signal-driven scenario applies two levers you control: how much rep time moves from research to conversation, and how much the meeting-to-opportunity rate improves when outreach is timed to a buying signal rather than a list refresh. The outbound sales guide covers how to measure each lever, and the revenue timing guide covers why timing moves the second one.
Point PravRaha at your market and work from movement instead of a filtered list. If you would rather walk through it with us first, a Pipeline Review is 45 minutes on your ICP and your current stack.