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Win/Loss Rates for Enterprise SaaS: The 2025 Reality Check

In the high-stakes world of enterprise SaaS, founders obsess over pipeline: number of demos booked, proof-of-concepts launched, and proposals sent. But there’s one metric that quietly determines whether your forecasts, runway, and board updates hold water — your win/loss rate.

The problem? Reliable, recent, and comparable win/loss benchmarks are scarce. Public companies don’t report them, private companies treat them as trade secrets, and when surveys are published, definitions vary wildly.

For pre-seed and seed-stage enterprise SaaS companies — especially those targeting $100k+ ACV deals — the stakes are even higher. You’re selling into conservative buyers, without the brand recognition or proof points of incumbents, often with a sales motion still being built in real-time.

In this post, we’ll cut through the fog using three credible, 2022-plus data sources:

(Plus, a bonus tactical insight from Champify 2025 Impact Reporthttps://23850949.fs1.hubspotusercontent-na1.net/hubfs/23850949/Champify%20Impact%20Report%20-%202025.pdf 


What “Win Rate” and “Closed-Lost” Actually Mean

Before we jump into the numbers, let’s align on definitions — because this is one of the reasons benchmark data is so inconsistent.

  • Win Rate: Number of opportunities won ÷ number of opportunities with a decision (won + lost). This excludes deals still in play.
  • Close Rate: Often used interchangeably, but sometimes calculated as wins ÷ all opportunities (including those still open). This tends to make your number look worse.
  • Closed-Lost: Opposite of win rate — percentage of decided opportunities you did not win.
  • No Decision: Deals that stalled without a formal “no” (budget cuts, internal reprioritization, ghosting). Some companies lump these into closed-lost; others don’t.

For early-stage founders, the trap is definition drift — changing what you call a loss mid-year — which makes quarter-over-quarter trends meaningless.


The Macro Benchmark Picture Since 2022

Overall B2B: HubSpot’s 21% Win Rate

The HubSpot 2024 Sales Trends Report found the average B2B win rate in 2023 was around 21% (source). That means ~79% closed-lost. This includes SMB and mid-market deals, so it’s a bit more optimistic than what you’ll see selling enterprise SaaS from a standing start.


Recent Win Rate Benchmarks (HubSpot, WbD, Champify)

Sales Cycle StageApproximate % of Closed-Lost OpportunitiesCommon Reasons for Lost Opportunities (Highest to Lowest)
Discovery35%1. Poor discovery/Not understanding buyer needs (65%)2. No compelling reason to change/Status quo wins (60%)3. Lack of urgency or business case (45%)4. Wrong stakeholders engaged (40%)5. Product-market fit issues (30%)
Qualification28%1. Budget constraints/No allocated funds (55%)2. No decision-maker authority identified (45%)3. Timing not aligned with business priorities (40%)4. Insufficient qualification of real need (35%)5. Competing internal projects (25%)
Needs Assessment/Solution Design22%1. Solution doesn’t meet technical requirements (50%)2. Complex implementation concerns (45%)3. Competitor offers better fit (40%)4. Security/compliance requirements not met (35%)5. Integration challenges identified (30%)
Proposal/Negotiation12%1. Price objections/ROI not demonstrated (60%)2. Competitor chosen (better pricing/features) (45%)3. Contract terms unacceptable (35%)4. Procurement process delays (30%)5. Legal/compliance issues (20%)
Contract/Closing3%1. Last-minute budget cuts/freezes (40%)2. Internal reorganization/priorities changed (35%)3. Key champion left organization (30%)4. Competitor last-minute competitive move (25%)5. External market conditions (20%)

Enterprise Pressure: WbD’s ACV>$100k Decline

Winning by Design’s March 2023 industry report tracked enterprise deals with ACV>$100k and found win rates fell from ~26% to ~17% in late 2022 and early 2023 (source). For seed-stage founders selling into Fortune 1000 accounts, that’s the neighborhood you’ll live in — a ~83% closed-lost environment.


Cohort Movement: Ebsta x Pavilion’s Volatility Story

Ebsta and Pavilion analyzed over 4.2 million opportunities and $54 billion in pipeline to show that win rates aren’t static (https://www.ebsta.com/wp-content/uploads/2024/02/B2B-Sales-Benchmarks-2024_.pdf?utm_source=tldrfounders). They declined sharply in early 2023 before stabilizing and rebounding for some top performers in 2024.

The takeaway: single-point benchmarks are dangerous — your numbers may swing 5–10 percentage points in a year due to macro factors, pricing changes, or GTM experiments.


What This Means for Pre-Seed/Seed Enterprise Startups

If you’re raising your first institutional round or operating with 12–18 months of runway, you need to set expectations conservatively.

  • For $100k+ ACV enterprise targets: model win rates in the 15–20% range early on.
  • For $50–100k ACV mid-market/enterprise deals: you might stretch to 20–25% after refining ICP and messaging.
  • Closed-lost rates will live in the 75–85% band for most of your first year post-launch.

This isn’t pessimism — it’s planning reality. Overestimating win rate by even 5 percentage points can cause a 25–30% shortfall in bookings forecasts.


How Early Teams Can Beat the Average

Relationship Leverage: The Champify Example

Champify’s 2025 Impact Report showed that deals with a “known contact” — someone who’s worked with your team or product before — had a 37% win rate vs 19% for cold outreach (source).

For a seed-stage founder, that’s not just nice to know — it’s a GTM strategy. Build campaigns targeting:

  • Former customers now at new companies
  • Past colleagues in your ICP
  • Investors’ network introductions

Partner-Assist & Nearbound

Ebsta x Pavilion’s top performers leaned heavily on multi-threading and partner-influenced deals (source). Even if you don’t have a formal partner program, you can track and incentivize any opportunity where a trusted third party adds credibility.

Process Discipline

Frameworks like MEDDICC help ensure your reps (or you, if you are the rep) are qualifying hard, documenting champion buy-in, and avoiding “happy ears” late in cycle. Pavilion members reported more consistent win rates when process adherence was monitored weekly (source).


Avoiding Common Data Traps

  1. Definition Drift — Document exactly what “Closed-Lost” means for your team.
  2. Stage Hygiene — Ensure reps move deals out of open stages promptly; bloated pipelines distort win rate.
  3. Weighted vs Unweighted — A 10% win rate on $500k deals may be more valuable than a 30% win rate on $20k deals; measure both.
  4. Cohorting — Group deals by creation date to track win rate improvements; avoid mixing old, long-cycle deals with fresh pipeline.
  5. Segmentation — Always separate new logo from expansion, inbound from outbound, SMB from enterprise.

Benchmarks You Can Actually Use in a Seed-Stage Model

Here’s a plug-and-play matrix for your forecast spreadsheet:

Motion TypeWin Rate Start PointClosed-Lost Start Point
Inbound Enterprise POC20–25%75–80%
Cold Outbound Enterprise10–18%82–90%
Warm/Relationship-Led30–40%60–70%

Re-baseline quarterly — Ebsta x Pavilion’s dataset shows that even high-performing teams saw shifts of 5–10 percentage points across 2023–24 (https://www.ebsta.com/wp-content/uploads/2024/02/B2B-Sales-Benchmarks-2024_.pdf?utm_source=tldrfounders).


How to Report Win/Loss to Your Board

For early-stage boards, clarity beats optimism. Use a single slide showing:

  • Definition of win rate and closed-lost
  • Last 2Q trend (line chart)
  • Segment breakdown (inbound vs outbound, new logo vs expansion)
  • Top 3 loss reasons (e.g., pricing, missing feature, status quo)
  • Actions planned (e.g., pricing test, new champion enablement deck, partner pilot)

This avoids the “why did our win rate drop?” ambush during QBRs.


Conclusion & Call to Action

If you remember only three numbers from this post, make them these:

Most seed-stage enterprise SaaS founders will live in a 75–85% closed-lost reality for their first year. That’s not failure — that’s the game. The winners are those who measure precisely, learn aggressively, and create structural advantages like relationships, partners, and process rigor.

Benchmark your funnel honestly, publish your definitions, and — when you can — share anonymized win/loss data with peers. The more transparent the ecosystem becomes, the better founders can plan, raise, and grow sustainably.


Also published on Medium.