Example data table
Use this sample set to test exports and calculations.
| Period | Total pitches | Wins | Meetings | Proposals | Avg deal value |
|---|---|---|---|---|---|
| Last 30 days | 25 | 6 | 14 | 10 | ₹1,200 |
| Prior 30 days | 18 | 3 | 9 | 7 | ₹1,150 |
| Two months ago | 30 | 7 | 16 | 12 | ₹1,250 |
Formula used
- Win Rate (%) = (
Wins ÷ Total Pitches) × 100 - Close Odds =
Wins ÷ Losses, whereLosses = Total − Wins - Meeting → Proposal (%) = (
Proposals ÷ Meetings) × 100 - Proposal → Win (%) = (
Wins ÷ Proposals) × 100 - Expected Wins =
Total Pitches × (Win Rate ÷ 100) - Expected Revenue =
Expected Wins × Avg Deal Value - Avg Profit per Win =
Deal Value − Delivery Cost − (Hours × Hourly Value) - Pitches Needed for Goal =
ceil(Goal Wins ÷ (Rate ÷ 100)) - Confidence Interval uses the Wilson score method for proportions (95%).
How to use this calculator
- Pick a period label (for example, “Q1 2026” or “Last 14 days”).
- Enter your total pitches and wins from that period.
- Add meetings, proposals, and follow-ups to see funnel weak spots.
- Enter deal value and costs to estimate revenue and profit impact.
- Set a goal and target rate to calculate required pitch volume.
- Press Calculate Win Rate; results appear above the form.
- Use Download CSV or Download PDF to save the report.
What win rate reveals about your positioning
Win rate converts scattered pitch outcomes into a decision signal. When your rate rises while volume stays steady, your offer is clearer, pricing is aligned, and prospects self-qualify. When volume rises but rate drops, targeting may be too broad or messaging is attracting mismatched buyers. Track rate by segment, not just totals, to see which industries, roles, or problem types respond best. Review results monthly, then weekly once stable. Document what changed in scripts, samples, and pricing so you can connect actions to outcomes with confidence across client segments.
Funnel ratios that explain the number
A single percentage can hide where deals stall. Meeting-to-proposal shows whether discovery calls create enough clarity and urgency to justify a written scope. Proposal-to-win reflects proof, risk reduction, and commercial terms. Follow-ups per pitch highlights whether you are leaving decisions unnudged. Improve the weakest ratio first; small gains in one stage usually lift overall win rate faster than increasing pitch volume.
Planning capacity using required pitch volume
The calculator turns a goal into required pitches using either your current rate or a target rate. This matters for weekly planning: if you need 40 pitches to land 10 wins, you can translate that into daily outreach blocks and proposal slots. Pair the volume plan with a realistic cycle time so your calendar matches the pipeline you are trying to build.
Revenue and profit forecasting with realistic inputs
Expected revenue estimates top-line impact, but profit per win adds practical discipline. Include delivery costs and the time value of closing work so you avoid “busy but broke” deals. If profit per win is low, raise price, narrow scope, or redesign delivery. If profit is healthy but wins are scarce, prioritize lead quality and create stronger proof assets to reduce buyer uncertainty.
Using confidence intervals to avoid overreacting
Early pipelines are noisy. With small pitch counts, win rate can swing wildly from a single outcome. The confidence interval provides a range that is more stable than the raw percentage, helping you evaluate experiments without panic. Use longer periods, or track rolling windows, before making major changes to positioning, pricing, or channel mix.
FAQs
What counts as a “pitch” in this calculator?
Count any deliberate attempt to win a client: proposal submissions, scoped quotes, or structured outreach with a clear ask. Keep the definition consistent across periods.
Why is my win rate adjusted after submission?
If wins exceed total pitches, the tool caps wins at the total to prevent impossible percentages. This protects forecasting and export accuracy.
How should I use meetings and proposals fields?
They expose conversion bottlenecks. Low meeting-to-proposal suggests weak discovery. Low proposal-to-win suggests pricing, proof, or terms need improvement.
What is “profit per win” and why include time?
Profit per win subtracts delivery cost and your time value from deal value. It helps you spot deals that look good in revenue but underperform financially.
How reliable is the confidence interval?
It is a practical range estimate for your true rate given limited data. Wider ranges mean you need more pitches before drawing strong conclusions.
How often should I review and reset targets?
Review weekly for activity, monthly for trend decisions. Reset targets when you change pricing, niche, offer scope, or outreach channels.