Win rate

Definition
The share of proposals sent that turn into paying customers.

Why it matters

It is the last conversion before money changes hands. Every lead, call and follow-up upstream ends up in this one number, so it is the clearest single read on how well a team closes once a deal reaches the finish line. It also makes forecasting honest. Multiply the value of open proposals by the win rate and a vague hope becomes a realistic revenue estimate.

How to apply it

  • Track the trend over several periods, not one. A single quarter with six proposals says very little.
  • Slice it by lead source, deal size and person. A healthy average often hides one source that closes well and another that wastes proposals.
  • Record a reason for every loss: a named competitor, no decision, price, or timing. "No decision" is the most common and the most fixable.
  • Change one thing at a time, such as a tailored proposal, a return-on-investment calculation or a faster follow-up, and watch whether the rate moves.

What it is

Win rate answers one question: of the opportunities that reached a decision, how many ended in a signed deal?

The denominator needs to be stated, because teams use different ones. This glossary defines win rate on proposals that reached a decision: if 20 proposals were decided in a quarter and 5 were accepted, the win rate is 25 per cent. Many teams instead divide by all closed opportunities, won plus lost, which is usually lower because it includes deals that never reached a proposal. Neither is wrong. Pick one, write it down and use it every period.

Leave out proposals still open, or apply one consistent rule to them, so that the number stays comparable from one period to the next.

Common mistakes

Chasing a higher win rate by sending fewer, safer proposals. The rate rises while revenue falls. Read it alongside the number of proposals sent and the average deal size.

Worked example

Suppose a consultancy sends 20 proposals in a quarter and wins 5, a win rate of 25 per cent. The founder records each deal's lead source in Pipedrive, so the pipeline shows the split. Referrals close at 50 per cent, while cold outreach closes at 10 per cent, and the blended figure hides that gap. The team also records a reason for every loss. Most losses are no decision, which is the most fixable cause. The next quarter, the founder spends more time on referral follow-up and adds a short return-on-investment calculation to each proposal. The win rate rises to 35 per cent on fewer proposals sent, and revenue rises too, because the proposals going out are the ones most likely to close.

Tools in the example

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  1. Article

    Proposal rate

    The conversion stage before win rate.

  2. Article

    Average deal size

    Multiplied by win rate to project revenue.

  3. Article

    Battle card

    A tool for winning against a named competitor.

  4. Article

    Closing techniques

    The skill that win rate reflects.

Where it shows up