Win Rate by Deal Size

Bigger deals take longer and close less often. But that doesn't mean you should avoid them.

N=847 companiesQ1-Q3 2025
SMB Deals
28-35%
<$10K ACV
Mid-Market
20-28%
$10K-$50K
Upper Mid
15-22%
$50K-$100K
Enterprise
12-18%
>$100K
TL;DR

B2B SaaS win rates by deal size: <$10K ACV shows 28-35% win rate, $10K-$50K shows 20-28%, $50K-$100K shows 15-22%, >$100K shows 12-18%. Larger deals have lower win rates but higher absolute revenue contribution. The "win rate paradox": SMB deals win more often but Enterprise deals generate more total pipeline value despite lower conversion. Source: Optifai Sales Ops Benchmark 2025 (N=847 companies with deal-level data).

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Related Resources

Win Rate Distribution

SMB (<$10K)
Shorter cycles, simpler buying process
28%31% median35%
Mid-Market ($10K-$50K)
Multiple stakeholders, procurement involved
20%24% median28%
Upper Mid ($50K-$100K)
Security reviews, legal negotiations
15%18% median22%
Enterprise (>$100K)
RFPs, committees, 6-12 month cycles
12%15% median18%

The Win Rate Paradox

A SaaS company asked us: "Should we focus on SMB where win rates are 30%+ instead of Enterprise at 15%?"

The math says otherwise. Here's a simplified model from one of our benchmark participants:

SegmentOpps/QuarterWin RateAvg DealWon Revenue
SMB20030%$5,000$300,000
Mid-Market5024%$30,000$360,000
Enterprise1515%$150,000$337,500

Insight: Enterprise generates similar revenue to SMB with 93% fewer opportunities to manage. Factor in CAC, LTV, and support costs—Enterprise often has 3-5x better unit economics despite the lower win rate.

The real question isn't "which segment has the best win rate?"—it's "which segment maximizes revenue per sales capacity hour?"

What Actually Drives Win Rate?

⏱️

Speed to Engagement

First response time under 5 minutes correlates with 21% higher win rates. After 24 hours, win rates drop by 60% on average.

+15-25% win rate improvement possible
👥

Multi-Threading

Deals with 3+ contacts engaged close at 2.4x the rate of single-threaded deals. For Enterprise, this jumps to 3.1x.

2-3x win rate multiplier
📋

Discovery Quality

Deals where MEDDIC/BANT criteria are fully documented show 40% higher close rates. Incomplete discovery = pipeline bloat.

+30-50% with rigorous qualification
🎯

Competitive Presence

Deals with active competitor involvement have 35% lower win rates. However, no competition often means no budget.

Context matters: "no competitor" isn't always good

When Low Win Rate Is a Feature, Not a Bug

Before optimizing for higher win rates, consider: a 40% win rate might mean you're not pursuing enough stretch opportunities.

The "Goldilocks Zone" for Win Rates:
  • ⚠️>40% win rate: Possibly under-qualifying, leaving money on table, or not pursuing complex deals
  • 20-35% win rate: Healthy mix of base hits and swing-for-fence deals
  • <15% win rate: Lead quality issues, ICP misalignment, or sales process gaps

"Our best quarter happened when win rate dropped to 22%. We were finally pursuing the big logos we'd been avoiding." — VP Sales, Series B SaaS (benchmark participant)

Know Which Deals to Prioritize—Before You Waste Time

Optifai's AI scores deals by size, engagement signals, and close probability. Focus on the opportunities that move the needle.

TEAM EFFICIENCY

Small team? Detect signals, auto-act, zero missed deals.

Turn intent into action before competitors even notice.

📅

Update History

Data last updated: November 25, 2025

v1.0November 25, 2025
  • Initial release of Win Rate by Deal Size benchmark
  • Data from 847 B2B SaaS companies with deal-level tracking
  • Added "Win Rate Paradox" analysis with revenue comparison
  • Included "Goldilocks Zone" framework for interpreting win rates

Impacted metrics:

Win rate by ACV segment

Regularly updated with latest industry data