Quote win rate is the share of your quotes that convert into orders, calculated as won quotes divided by the sum of won and lost quotes, then multiplied by 100. For example, 30 wins out of 150 decided quotes is a 20% win rate. The measure only counts quotes that reached a decision, so open or pending quotes are excluded until the buyer responds.
Why This Matters
Win rate is the single clearest measure of how well a seller's quoting effort converts. It turns a vague sense of "we're doing okay" into a number you can track and compare. According to HubSpot, the average B2B win rate sits near 21%, while Ebsta and Pavilion measured roughly 19% across 2025. Benchmarks also vary by company size, with SMB sellers around 31% and enterprise sellers near 15%.
Those ranges matter because a raw win rate means little without context. A 20% rate could be strong in a competitive enterprise segment or weak for a small-ticket product. Knowing where you fall against benchmarks tells you whether to celebrate or investigate. It also gives win/loss reviews a baseline to measure progress against over time.
How It Works
The core formula is simple:
Win rate = Won quotes / (Won quotes + Lost quotes) × 100
The harder part is deciding what belongs in each bucket. Consistency matters more than any single rule, but a few principles help.
What to Include
- Decided quotes only — Count a quote once the buyer has said yes or no.
- Genuine opportunities — Include quotes where the buyer had real intent to purchase.
- A fixed time window — Measure by month, quarter, or year so numbers stay comparable.
What to Exclude
- Open quotes — Pending responses distort the rate; count them once resolved.
- No-decisions, tracked separately — Deals where the buyer bought nothing skew the ratio if mixed with competitive losses.
- Disqualified or duplicate quotes — Requests you never seriously pursued do not belong in the denominator.
Segment the Result
A single company-wide number hides the useful detail. The same segments used in win/loss analysis apply here: break win rate down by product line, customer size, region, lead time, and sales rep. You might find an overall 20% rate masks a 40% rate on one product and 8% on another. Segmentation is where the number becomes actionable.
A quick worked example: a supplier submits 200 quotes in a quarter. Of these, 40 are still open, 32 are won, 96 are lost, and 32 are no-decisions. Counting only decided competitive quotes gives 32 / (32 + 96) = 25%. Reviewing outcomes this way is a core step in any supplier win/loss analysis routine.
How Buyer24 Helps
Buyer24 keeps quote data structured and time-stamped, which makes the raw inputs for a win rate, submission dates, prices, and outcomes, easier to pull cleanly. An emerging win/loss view on the roadmap aims to help suppliers see these figures segmented rather than reconstructing them from scattered emails and spreadsheets. See a demo →
FAQ
Should no-decisions count as losses?
Not in the core win rate. No-decisions have different causes than competitive losses, so most sellers track them separately. Blending them into the denominator understates how you perform against actual competitors.
How often should I calculate win rate?
Monthly or quarterly works for most suppliers. Frequent enough to spot trends, but long enough that each period holds a meaningful number of decided quotes. Very small samples produce noisy, misleading rates.
Is a higher win rate always better?
Not necessarily. A very high win rate can signal quotes priced too low or too few opportunities pursued. Read win rate alongside margin and quote volume, not in isolation.
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