TL;DR
Opportunity-to-Close Rate is the percentage of qualified opportunities that result in closed-won deals — calculated as closed-won / total opportunities created, measured cohort-by-cohort. For B2B SaaS, healthy opportunity-to-close rate is 20–35% for SMB, 15–25% for mid-market, and 18–28% for enterprise. The metric is the central diagnostic for sales-stage execution and the inverse of <a href="/glossary/win-rate" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">win-rate</a> (which is sometimes computed against decided-only opportunities).
What is opportunity-to-close rate?
Opportunity-to-Close Rate is the percentage of qualified opportunities that result in a closed-won deal. It is the central sales-stage conversion metric and is closely related to win-rate — the difference is in the denominator.
Opportunity-to-close uses all opportunities created in the cohort (including stalled or no-decision opps) as the denominator. Win-rate often uses only decided opportunities (closed-won + closed-lost), excluding stalled opps. The two definitions can produce numbers 10–20 percentage points apart for the same underlying performance.
How to calculate it
Opportunity-to-Close Rate (cohort) =
(Opportunities from cohort that closed-won within N days) /
(Total opportunities created in cohort) × 100
Standard observation windows:
90 days for SMB sales cycles
180 days for mid-market
270–365 days for enterprise
Compare with Win-Rate variants:
Decided-only Win-Rate =
Closed-won / (Closed-won + Closed-lost)
Inclusive Win-Rate =
Closed-won / All opportunities including stalled
(Inclusive Win-Rate ≈ Opportunity-to-Close Rate) Benchmarks
| Segment | Healthy rate | Caution |
|---|---|---|
| B2B SaaS — SMB | 20–35% | <15% |
| B2B SaaS — Mid-market | 15–25% | <10% |
| B2B SaaS — Enterprise | 18–28% | <12% |
| Inbound demo opps (high-intent) | 25–40% | <18% |
| Outbound prospecting opps | 10–18% | <6% |
Why the cohort window matters
Snapshot opportunity-to-close rates (current-period closed-wons / current-period opps created) are unreliable because the two numbers refer to opportunities at different stages of their lifecycle. Cohort math — opportunities created in March, observed for 180 days — is the only reliable view.
The right cohort window depends on sales-cycle length. For 30-day cycles (SMB), 90 days is enough to see most outcomes. For 180-day cycles (enterprise), the cohort needs 365 days of observation to be complete.
Common pitfalls
- 1. Mixing decided-only and inclusive win-rate definitions. The two produce numbers 10–20 percentage points apart for the same underlying performance. Always specify which definition is in use.
- 2. Aggregating across motions. SMB opp-to-close at 30% and enterprise opp-to-close at 22% are healthy; a brand-aggregate of 26% hides which motion is structurally healthy and which is struggling.
- 3. Closing stalled opps as 'lost' to inflate decided-only win-rate. Some teams aggressively close stalled opportunities as 'closed-lost' to clean up the pipeline. This inflates decided-only win-rate while leaving the inclusive metric unchanged. Track both definitions to detect this.
Related concepts
Win-rate is the sister metric (decided-only denominator). Lead-to-opportunity rate is the upstream funnel stage. Sales velocity captures throughput. Average deal size compounds with opp-to-close rate to drive revenue.
At a glance
- Category
- Revenue Operations
- Related
- 5 terms
Frequently asked questions
Is opportunity-to-close rate the same as win-rate?
Almost — depends on the definition. 'Inclusive win-rate' (closed-won / all opps including stalled) equals opportunity-to-close rate. 'Decided-only win-rate' (closed-won / closed-won + closed-lost) excludes stalled opps and produces a higher number. Always specify which.
What's a healthy opp-to-close rate?
B2B SaaS SMB: 20–35%. Mid-market: 15–25%. Enterprise: 18–28%. Heavily influenced by motion (inbound vs outbound) and segment. Compare against your own historical cohorts and within segment, not against cross-company aggregates.
How long should the observation window be?
Match the sales-cycle length. SMB (30-day cycles): 90 days. Mid-market (60–90-day cycles): 180 days. Enterprise (180-day cycles): 365 days. Shorter windows undercount eventual closures; longer windows are reliable but lag operational decisions.
Sources
- B2B SaaS sales benchmark reports (2024–25)
- Salesforce State of Sales report
- Fairview customer data (2025)
Fairview is an operating intelligence platform that tracks both inclusive and decided-only opp-to-close rates with cohort-based observation, segmented by motion and sales rep — so sales-execution conversations rest on cohort-aligned numbers rather than snapshot ratios that don't reflect actual conversion. Start your free trial →
Siddharth Gangal is the founder of Fairview. He built the dual-definition cohort layer after watching a CRO defend 'win-rate up 7 points' that came entirely from aggressive closure of stalled opps to closed-lost — the inclusive win-rate (the more honest number) was actually flat. The headline was real; the operating reality wasn't.
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