“Win rate” is the number every proposal team quotes and almost no team defines the same way. Two firms can both claim a 40% win rate and mean entirely different things, because the denominator is different. Until the definition is fixed, the number cannot be compared, trended or improved – you are measuring different things and calling them the same name.
This guide gives you four formulas that cover the questions a bid team actually asks: Are we winning the proposals we submit? Are we winning the competitive ones? Are we getting shortlisted? And are we winning the deals that matter most? Used together, they turn a single misleading number into a diagnosis.
A win rate without a stated denominator is not a metric. It is an opinion.
Why the definition matters
The confusion almost always comes from the denominator – what you divide by. There are at least three legitimate “win rates,” and each answers a different question:
- Proposals submitted as the denominator gives you RFP win rate: how well you execute on the bids you chose to pursue.
- All opportunities as the denominator gives you sales win rate, which is much lower because it includes everything you filtered out.
- Competitive decisions as the denominator gives you competitive win rate, which isolates head-to-head performance.
Average B2B sales win rates commonly sit around 20%, while RFP win rates commonly sit around 45% (Loopio, 2026). They are not in conflict; they measure different stages. The first thing to do is decide which one you mean and define it in writing. Write the definition down, share it with whoever quotes the metric, and use it identically every time the number appears. Ambiguity in the definition is the root cause of most win-rate arguments.
Formula 1: Win rate (won / submitted)
The foundation.
Win rate = (proposals won / proposals submitted) x 100
If you submitted 60 proposals and won 24, your win rate is 40%.
Three rules make it honest:
- Count decided outcomes only. Exclude bids still open, cancelled, or withdrawn.
- Define “submitted” precisely. Commissioned but never sent does not count.
- Keep the period consistent. Compare quarters to quarters, not a quiet month to a busy year.
This is the number to report externally and to trend over time. It answers: when we choose to bid, how often do we win?
Formula 2: Competitive win rate (won / competitive decisions)
Blended win rate hides the deals where a real competitor showed up. Competitive win rate isolates them.
Competitive win rate = (proposals won / competitive decisions) x 100
“Competitive decisions” excludes no-decisions – opportunities where the buyer chose no one, or simply stalled. This matters because a large share of B2B deals end in no decision; research on millions of sales conversations puts it at 40-60%. Those are not losses to a rival, and folding them into the denominator distorts your view of head-to-head performance.
Read this alongside Formula 1. If your competitive win rate trails your overall win rate, you are losing the opportunities that involved a genuine competitor – which is where differentiation is tested.
Formula 3: Advance rate (shortlisted / submitted)
Win rate is a lagging indicator. By the time you know it, the bids are long decided. Advance rate – also called shortlist rate – tells you sooner.
Advance rate = (times shortlisted / proposals submitted) x 100
This answers a different and earlier question: does our written response survive the first cut? If advance rate is low, the problem is in the proposal – compliance, structure or differentiation – not in the final commercial conversation. High-win teams report a median shortlist rate around 63% (AutoRFP.ai, 2026). For the fuller treatment, see Shortlist Rate vs Win Rate.
Formula 4: Revenue-weighted win rate (value won / value submitted)
A headcount win rate treats a $20,000 deal and a $2,000,000 deal as equal. Revenue-weighted win rate does not.
Revenue-weighted win rate = (value of proposals won / value of proposals submitted) x 100
This reveals a pattern a count-based number hides: a team that wins many small deals but consistently loses the large ones can post a healthy headcount win rate while losing the deals that matter. Track both. Where the two diverge sharply, the strategy needs scrutiny.
A worked example
Take a team that received 100 RFPs in a quarter:
- It qualified out 40 and submitted 60.
- It was shortlisted 30 times.
- It won 18.
- Of the 42 decided bids, 30 were competitive decisions (12 were no-decisions).
- The 18 wins carried $3.6M of a $6.0M submitted value.
| Metric | Calculation | Result |
|---|---|---|
| Pursuit rate | 60 / 100 | 60% |
| Advance (shortlist) rate | 30 / 60 | 50% |
| Win rate | 18 / 60 | 30% |
| Competitive win rate | 18 / 30 | 60% |
| Revenue-weighted win rate | 3.6M / 6.0M | 60% |
Read together, these tell a clear story: the team bids on 60% of what it receives, converts half to the shortlist, wins 30% overall – but wins 60% of competitive decisions and 60% of value. The blended 30% is dragged down by no-decisions, not by losing head-to-head. That is a very different diagnosis than the headline number suggests.
Segment before you average
A single blended number hides where you are strong and weak. Report each formula by segment:
- Deal size, to expose whether you win small and lose large.
- Incumbent vs new business, because renewal win rates are far higher than cold bids.
- Industry or sector, to see where you have an advantage.
- Competitor, to see who you consistently lose to.
- Owner or team, where volume and quality differ.
Segmentation is where the numbers become decisions. For what the results should look like, see What Does a Good Win Rate Look Like?.
A win-rate dashboard you can build in an hour
You do not need a data project to track these numbers. A single spreadsheet, updated monthly, is enough.
| Metric | Source | Frequency |
|---|---|---|
| Proposals received | CRM or bid inbox | Monthly |
| Proposals submitted | CRM or bid inbox | Monthly |
| Times shortlisted | Buyer notifications | Monthly |
| Competitive decisions | CRM, excluding no-decisions | Monthly |
| Proposals won | CRM | Monthly |
| Value submitted / won | CRM | Monthly |
Then compute the four formulas by segment. The discipline is less about the tool than the consistency: the same definitions, the same cadence, the same segments. A dashboard nobody updates is worse than no dashboard, because it creates false confidence.
Common mistakes
- Quoting a win rate without the denominator. Always state what you are dividing by.
- Including undecided bids. Open and cancelled bids should be excluded.
- Averaging across incompatible segments. Incumbent renewals and cold bids are not comparable.
- Tracking only win rate. Add advance rate and cost per win to see the story early.
- Ignoring value. A count-based win rate can hide losses on the largest deals.
Frequently asked questions
How do you calculate proposal win rate?
Divide proposals won by proposals submitted, then multiply by 100. Exclude undecided bids and state the period. Report the number by segment rather than as a single blended figure.
Why is my win rate different from my sales team’s?
Because the denominator is different. Proposals-submitted win rate is higher than all-opportunities sales win rate, which includes every opportunity, filtered or not. Both are valid; they answer different questions.
What is a competitive win rate?
Proposals won divided by competitive decisions, excluding no-decisions. It isolates head-to-head performance where a real competitor was involved.
What is a good shortlist rate?
High-performing teams report a median shortlist rate around 63% (AutoRFP.ai, 2026). A low shortlist rate points to problems in the written response rather than in the final commercial discussion.
Should win rate be measured by value or by count?
Both. A count-based win rate reveals conversion; a revenue-weighted win rate reveals whether you win the deals that matter. Where the two diverge, your strategy needs review.
How often should win rate be reviewed?
Monthly for the inputs and shortlist rate, and quarterly for the full set of four formulas by segment. Monthly keeps the pipeline honest; quarterly gives a sample large enough to see patterns rather than noise.
What is pursuit rate?
The share of RFPs received that you choose to submit a response to – proposals submitted divided by RFPs received. A falling pursuit rate can mean sharper qualification, or weakening pipeline coverage. Track it deliberately alongside win rate: it is the clearest single indicator of how selective you are, and it explains much of the movement in the blended number. Read it with win rate, never alone, and report it by segment.
Next step
Fix your definition, then track all four formulas by segment. The blended number is a starting point, not a strategy. The Win-Rate Calculator will compute them for your last outcomes, and How to Measure and Improve Your RFP Win Rate shows how to act on what they reveal. To have your numbers reviewed, get a win-rate review.
Sources
- Loopio, 2026 RFP Response Trends & Benchmarks Report (1,500+ teams, developed with APMP): average win rate ~45% (2019-2026); pursuit rate ~55%.
- AutoRFP.ai, 2026 Proposal Win Rate Report (94 bid professionals): high-win teams’ median shortlist rate of 63%.
- Industry research on B2B sales conversations (Harvard Business Review analysis of 2.5 million conversations, cited across win-loss research): 40-60% of deals end in no decision.
Numbers are cited from their sources and dated. Where a source is a vendor benchmark, it is identified as such.