Measure pace, coverage, and win-rate benchmarks fast. See where your pipeline stands versus quota today. Download clean reports for coaching, forecasting, and planning teams.
| Scenario | Quota | Closed won | Pipeline | Win rate | Days elapsed | Coverage target | Typical outcome |
|---|---|---|---|---|---|---|---|
| On-track quarter | $250,000 | $112,500 | $540,000 | 28% | 46 / 90 | 3.00x | Stable pacing, manageable gap |
| At-risk quarter | $300,000 | $90,000 | $420,000 | 22% | 55 / 90 | 3.00x | Coverage and pace lag behind |
| Ahead with strong coverage | $200,000 | $120,000 | $600,000 | 35% | 40 / 90 | 2.75x | High confidence, more optionality |
Benchmark quota against peers using the same segment, territory, and sales cycle. Many CRM teams track consistently median monthly quota attainment between 70% and 90% for steady performers, with top quartile above 105%. Compare your closed won pace to these bands, then adjust for seasonality, ramp months, and product launches. Use period days to normalize results across quarters, months, or custom sprints.
Pace matters because quota is time bound. If 40% of period days have passed, a neutral pace expects roughly 40% attainment. The calculator projects end‑of‑period revenue from current daily run rate, highlighting whether you are ahead or behind the time curve. A 10% pace deficit early can often be recovered with higher pipeline velocity, but late deficits require larger deal sizes or accelerated close dates.
Coverage is the most practical leading indicator. Many organizations target 3.0x to 4.0x qualified pipeline coverage for mid‑market, and 4.0x to 6.0x for enterprise, because long cycles add more slippage. The calculator converts your pipeline into expected revenue using win rate and compares it to remaining quota. If expected revenue is below the gap, prioritize net‑new opportunities, multi‑threading, and next‑step scheduling to reduce leakage.
Win rate assumptions drive every benchmark. Test sensitivity by changing win rate five points up and down and watching the expected revenue shift. For example, $500,000 pipeline at 25% yields $125,000 expected; at 30% it yields $150,000. If you need a 45% win rate to hit quota but your historical average is 28%, your plan is fragile. Improve qualification, stage criteria, and competitive positioning before forecasting aggressively.
Use the gap outputs to plan weekly activity. Translate remaining quota into required expected revenue, then into required pipeline by dividing by win rate. Convert required pipeline into new meetings using your typical meeting‑to‑opportunity rate. Track two checkpoints: coverage ratio and pace attainment. When coverage is healthy but pace lags, focus on deal acceleration. When pace is fine but coverage is low, focus on top‑of‑funnel creation.
It compares your attainment, pace, and coverage against practical targets so you can spot gaps early and plan corrective pipeline or deal actions.
Start with 3.0x for shorter cycles and cleaner pipeline. Move toward 4.0x–6.0x when cycles are longer, deal sizes vary, or your win rate is volatile.
It estimates end-of-period closed won by extending your current daily run rate across the full period. Use it to see whether you are ahead, on pace, or behind time.
Use a stage-to-close rate for the deals included in your qualified pipeline. If you only know a rolling average, choose the last 90–180 days and be consistent.
Include deals with confirmed pain, authority, timeline, and next steps, at stages you historically convert. Exclude unworked leads and “hope” deals to avoid inflated coverage.
Yes. Set period days and days elapsed to match your cadence. The calculator normalizes pacing, so month, quarter, or custom sprint benchmarks remain comparable.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.