Calculator Inputs
Example Data Table
Use this sample to test the calculator and compare periods.
| Period | Qualified | Won | Lost | No Decision | Avg Value | Decision Win Rate |
|---|---|---|---|---|---|---|
| Q1 2026 | 80 | 24 | 30 | 10 | $3,500 | 44.44% |
| Q2 2026 | 92 | 29 | 34 | 12 | $3,700 | 46.03% |
| Q3 2026 | 88 | 25 | 31 | 14 | $3,900 | 44.64% |
| Q4 2026 | 96 | 33 | 32 | 11 | $4,050 | 50.77% |
Formula Used
Decision Win Rate = Closed Won ÷ (Closed Won + Closed Lost) × 100
Overall Win Rate = Closed Won ÷ Total Qualified Deals × 100
No Decision Rate = No Decision Deals ÷ Total Qualified Deals × 100
Won Revenue = Closed Won × Average Deal Value
Forecast Open Revenue = Open Deals × Average Deal Value × Decision Win Rate
Weighted Pipeline Coverage = Weighted Pipeline Value ÷ Revenue Goal
Required Open Win Rate = Revenue Gap ÷ (Open Deals × Average Deal Value) × 100
How to Use This Calculator
- Enter a period label, rep name, segment, and lead source.
- Fill in total qualified deals and the three outcome counts.
- Provide average deal value, weighted pipeline, target win rate, and revenue goal.
- Click Calculate Deal Win Rate to view results above the form.
- Review win rate gaps, forecast revenue, and readiness status for planning.
- Use the CSV or PDF buttons to export the current result report.
Win Rate as a Career Signal
Deal win rate is more than a sales metric; it is a career planning indicator for quota reliability, role readiness, and promotion timing. A steady 42% to 48% decision win rate usually shows repeatable discovery, qualification, and closing behavior consistently. This calculator separates decision win rate from overall win rate, helping managers see whether a rep closes well or simply receives stronger opportunities. That distinction supports fair coaching and credible performance reviews.
Pipeline Quality and Conversion Mix
The inputs for qualified deals, losses, and no decision outcomes expose pipeline quality clearly. For example, 80 qualified deals with 24 wins, 30 losses, and 10 no decisions leave 16 open deals. Decision rate and no decision rate reveal process friction. A high no decision rate may indicate weak urgency creation or poor stakeholder mapping. Tracking lead source beside outcomes also helps compare referral, inbound, and outbound quality across similar periods.
Forecasting Revenue from Outcomes
This calculator links win rate to revenue planning by combining average deal value, weighted pipeline, and revenue goal directly. If average deal value is $3,500 and won deals are 24, current won revenue is $84,000. The tool estimates forecast revenue from open deals using the current decision win rate. This creates a practical planning view for interviews, performance reviews, and role transitions where revenue predictability matters alongside activity volume.
Coaching Priorities from Loss Patterns
Professional career growth depends on diagnosing why deals are not closing effectively. The loss rate, no decision rate, and target gap together identify the coaching priority. A negative target gap suggests performance is below the expected benchmark. A high loss rate may point to positioning, pricing, or objection handling issues. A high no decision rate often signals weak next-step control. These indicators help reps build measurable development plans before annual reviews or compensation discussions.
Quarterly Review Benchmarks
Use quarterly benchmarks to compare progress consistently. Review decision win rate, overall win rate, projected revenue, and weighted pipeline coverage together instead of in isolation. For example, a 46% decision win rate with only 0.80x pipeline coverage still creates risk, while a 40% win rate with 1.40x coverage may remain on track. This balanced view strengthens career narratives by showing operational discipline, forecasting judgment, and continuous improvement across changing territories safely today.
FAQs
1) What is the difference between decision win rate and overall win rate?
Decision win rate uses only won and lost deals. Overall win rate uses all qualified deals, including no decisions and open deals, so it reflects broader pipeline efficiency.
2) Why does no decision rate matter for career planning?
A high no decision rate often shows weak stakeholder alignment, unclear urgency, or poor follow-up control. Reducing it improves conversion reliability and strengthens promotion-ready performance narratives.
3) Can I use this calculator for interview preparation?
Yes. Use period-based results to explain your win rate, revenue impact, and forecasting discipline. Hiring managers value clear metrics and consistent process improvement examples.
4) What does weighted pipeline coverage tell me?
Weighted pipeline coverage compares weighted pipeline value against your revenue goal. Values above 1.0x generally indicate healthier coverage, while lower values signal execution risk.
5) Why can the required open win rate become very high?
If the revenue gap is large and few open deals remain, the required win rate rises sharply. That signals the need for more pipeline, larger deals, or better conversion.
6) Which inputs should I review first when results look weak?
Start with qualified deal count, no decision volume, average deal value, and lead source mix. These usually explain whether the issue is pipeline quality, deal economics, or closing execution.