Calculator Inputs
Example Data Table
| Period | Leads | Qualified | Proposals | Won Deals | Total Won-Deal Days | Average Cycle |
|---|---|---|---|---|---|---|
| January | 180 | 72 | 34 | 11 | 517 | 47.00 days |
| February | 210 | 84 | 39 | 13 | 559 | 43.00 days |
| March | 240 | 96 | 48 | 18 | 810 | 45.00 days |
This example shows how aggregate period data can produce an average cycle length for reporting and forecasting.
Formula Used
Average Sales Cycle Length = Total Cycle Days for Won Deals ÷ Deals Won
Stage Estimate = Qualification Days + Discovery Days + Demo Days + Proposal Days + Negotiation Days + Approval Days
Lead to Qualified Rate = Qualified Leads ÷ Leads Entered × 100
Qualified to Proposal Rate = Proposals Sent ÷ Qualified Leads × 100
Proposal to Win Rate = Deals Won ÷ Proposals Sent × 100
Lead to Win Rate = Deals Won ÷ Leads Entered × 100
Revenue per Won Deal = Won Revenue ÷ Deals Won
Revenue per Cycle Day = Won Revenue ÷ Total Cycle Days
How to Use This Calculator
- Enter period totals for leads, qualified leads, proposals, won deals, and total cycle days.
- Add your target cycle length to compare actual performance against plan.
- Fill in average stage durations for qualification, discovery, demo, proposal, negotiation, and approval.
- Enter won revenue if you want revenue-per-day and revenue-per-deal insights.
- Press the calculate button to show the result block above the form.
- Review cycle time, bottlenecks, conversion rates, and the Plotly chart.
- Use the CSV or PDF buttons to export the current report.
Frequently Asked Questions
1) What is sales cycle length?
Sales cycle length is the average time needed to move a prospect from first contact to a closed-won deal. It helps teams forecast pipeline timing, set realistic targets, and identify slow stages that need process improvement.
2) Why use won deals instead of all opportunities?
Won deals provide the cleanest completed path through the process. Using only finished successes avoids distortion from open opportunities that have not yet closed and keeps average cycle calculations more stable.
3) Should I use calendar days or working days?
Use one system consistently across all inputs. Calendar days are common for executive reporting, while working days can help internal team planning. Mixing the two reduces accuracy and makes target comparisons unreliable.
4) What does the stage-based estimate show?
The stage-based estimate adds the average time spent in each selling stage. It is useful for diagnosing where delays appear and checking whether stage timing aligns with your actual closed-deal average.
5) What does variance to target mean?
Variance to target is the difference between your actual average cycle and your goal. A positive variance means you are slower than target. A negative variance means you are faster than target.
6) Why are conversion rates included?
Cycle speed alone does not explain pipeline quality. Conversion rates reveal how efficiently leads progress through qualification, proposal, and close. Together, timing and conversion metrics give a more complete sales performance picture.
7) Can I use monthly or quarterly data?
Yes. The calculator works with any consistent reporting period. Just ensure all totals and stage averages come from the same period so the outputs remain comparable and useful for forecasting.
8) How can I reduce sales cycle length?
Focus on the longest stages first. Improve qualification quality, shorten response times, standardize proposal templates, remove approval friction, and address negotiation blockers early. Small changes in bottleneck stages often create the biggest time savings.