Proposal Win Rate Calculator

(Close Rate for Quotes and Proposals)

Enter the proposals you sent and how many you won to get your win rate. Add project value and prep time to see revenue per proposal, cost per win and the proposals needed for a target.

Proposals or quotes that reached a final answer (won or lost)

Optional: economics

Used to price the time spent on proposals

See how many proposals you would need to send

Result

Enter values to calculate
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💡 Formula Guide

Win Rate:Proposals Won ÷ Proposals Sent × 100
Revenue per Proposal:Win Rate × Average Project Value
Prep Cost per Win:Proposals Sent × Hours × Rate ÷ Wins

What Proposal Win Rate Tells You

Your proposal win rate is the percentage of proposals or quotes that turn into signed work. Freelancers, agencies and consultants use it — sometimes under the name close rate or quote acceptance rate — because it turns a gut feeling about "how sales are going" into a number that can be improved. A win rate also determines your workload: if you win one proposal in five, you need to send five to land one, and the effort of preparing them is a real cost of getting clients.

Win Rate = (Proposals Won ÷ Proposals Decided) × 100

Example. Nine wins out of 40 decided proposals is a 22.5% win rate, which means roughly one win for every 4.4 proposals. With an average project worth $4,500, each proposal you send carries an expected revenue of about $1,012 (0.225 × $4,500). If a proposal takes three hours at $50 an hour, prepping all 40 cost $6,000 of time, and dividing by nine wins gives a hidden acquisition cost of about $667 per client.

Defining the Numerator and Denominator

The formula is simple, and inconsistency in what you count is the real hazard. Decide up front which proposals belong in the denominator. Proposals still open should be excluded until they have an answer; proposals that were ghosted are often closed as lost after a fixed waiting period. Count each request once even if you sent revisions, and be consistent about whether verbal quotes for small jobs count.

SituationSuggested treatmentWhy
Client acceptedWinSigned or clearly confirmed
Client declinedLossDefinite outcome
No reply after 30 daysLoss (or separate 'no response')Keeps the rate tied to what converts
Still under negotiationExclude for nowOutcome unknown
Revised and resent proposalOne proposalAvoids double counting

You can also track two rates: win rate on all proposals and win rate on responded proposals. The gap between them shows how many prospects simply go quiet, which points to follow-up habits rather than pricing.

Turning Win Rate Into Planning Numbers

Win rate becomes far more useful when combined with two more numbers: project value and preparation cost. Together they answer questions such as "how many proposals must I send to hit my monthly target?" and "is a big custom proposal worth writing for this lead?"

  • Proposals needed: target wins ÷ win rate, rounded up. Five wins at 22.5% needs 23 proposals.
  • Revenue per proposal: win rate × average project value. This is the ceiling on how much time a single proposal deserves.
  • Prep cost per win: total prep hours × your rate ÷ wins. If this is a big share of project margin, tighten qualification or use templates.

💡 Rule of thumb: if a lead is unlikely to close and would take many hours to quote, a shorter proposal or a qualifying call first usually raises your effective return, even if it lowers the number of proposals sent.

Reading Your Win Rate Honestly

A very high win rate is not automatically good. If you win nearly every proposal, you may be underpricing and leaving money on the table. A very low rate could mean poor lead quality, unclear proposals, or prices well above competitors. The best signal is movement: track the rate by lead source (referral, inbound, cold outreach, marketplace), by project size and by quarter. Comparing across sources shows where your effort pays best.

Small samples make the number jumpy. With ten proposals, a single extra win moves the rate by ten points. Until you have a few dozen decided proposals, use the result as a rough guide and avoid making major decisions from it.

How to Use This Calculator

  1. Enter proposals that reached a final answer and how many you won.
  2. Optionally add your average won project value, hours per proposal and hourly rate.
  3. Enter a target number of new projects to see how many proposals to send.
  4. Read the win rate, revenue per proposal and prep cost per win.

Pair this with pricing tools: the Project Quote Calculator builds the quote, the Freelance Hourly Rate Calculator sets the rate behind it, and the Billable Hours Calculator shows how much time you really have to bill. For teams selling larger deals, the Sales Pipeline Velocity Calculator uses win rate as one of four levers, and the CAC Calculator shows what winning a customer costs in total.

Frequently Asked Questions About Proposal Win Rate

How do you calculate proposal win rate?

Divide the proposals you won by the proposals that reached a final answer, then multiply by 100. Nine wins from 40 proposals is 9 ÷ 40 × 100 = 22.5%. Count only proposals with a definite outcome, or the rate will look lower than it really is.

Should unanswered proposals count as losses?

It depends on the question. For a strict win rate, use only decided proposals. One approach is to treat a proposal with no reply after a set period, such as 30 days, as lost, so the figure reflects what actually converts. Pick one rule and apply it consistently so trends are comparable.

What is a good proposal win rate?

There is no universal number, because it depends on how well leads are qualified, price positioning, and whether prospects are shopping around. A prospect who was referred to you and one collecting several competing bids are different situations. Compare against your own history, and against your win rate by lead source.

How many proposals do I need to win a set number of projects?

Divide the target wins by your win rate. At 22.5%, five new projects need about 5 ÷ 0.225 = 22.2, so 23 proposals. The calculator's target field does this rounding up for you. Because rates fluctuate, aim for a cushion above the figure.

What is revenue per proposal?

It is your win rate multiplied by the average value of a won project, or total revenue divided by proposals sent. At a 22.5% win rate and $4,500 average projects, each proposal is worth about $1,012 in expected revenue. It shows how much time a proposal deserves before it stops paying for itself.

Why calculate prep cost per win?

Every proposal costs time even when it is lost. Multiplying total proposals by prep hours and your hourly rate, then dividing by wins, shows the hidden acquisition cost of a client. If it is a large share of the project value, you should qualify leads harder or reuse more templated content.

How can I improve my win rate?

Qualify leads before writing, focus on the client's stated outcome rather than your process, present clear scope and options, follow up within days, and study lost proposals for patterns. A higher rate means fewer proposals to write for the same number of projects.

Is the sample size big enough to trust?

Small samples are noisy: with 10 proposals, one win changes the rate by 10 points. Treat results under about 30 decided proposals as directional. Track the rate over a rolling window and by lead source before making big pricing or process changes.

Last Updated: October 2026 | Win rate is calculated from your own counts; benchmarks are deliberately not quoted because rates differ sharply by industry, lead source and price.