Sample report
An example account · four reps · twelve months
Forecast accuracy over twelve months
340 deals resolved over the twelve months behind it. Every figure is computed by the same code your pipeline would run through.
A handful of deals decide the quarter
83% of this quarter's uncertainty comes from 3 deals. The rest barely move it.
That is your agenda: these 3, in this order. Odds all of them miss: 4%.
Where the uncertainty lives
- Dunmore renewal + upsell86.500 € @ 50%49%
- Fenwick expansion73.000 € @ 80%22%
- Westhall consolidation43.500 € @ 60%12%
You run 25% hot
12 closed months, 340 resolved deals. Your forecasts came in 25% above what closed.
So read today's range lower than it prints. That one correction beats any new pipeline report.
4 consecutive months hot. That is a definition problem, not bad luck, so revise what your percentages mean.
Forecast against actual
- October-6%
- November-8%
- December-36%
- January-15%
- February-1%
- March-7%
- April-50%
- May+12%
- June-63%
- July-25%
- August-56%
- September-43%
← closed less than forecastclosed more than forecast →
Worst month: June, forecast 305.650 €, closed 113.000 €.
What happens to deals that reach 50%, and 90%
85 deals reached "out for signature" over the year, and 76% of them closed. 15 were lost outright, 372.000 € that got as far as 90% and did not land.
Halfway up, 49% of the 227 deals that reached 50% closed. That is whether the middle of your pipeline is real. Every leader feels this. None of them can evidence it.
Reached this rung or better, then closed
- 90%76% of 85
- 80%65% of 144
- 70%63% of 166
- 60%57% of 196
- 50%49% of 227
- 40%44% of 257
- 30%39% of 290