Question
What counts as a good win rate, and how to measure yours honestly.
Published win rate benchmarks are unreliable because companies count differently: some exclude disqualified deals, some count only late stage opportunities. Your own trend, measured consistently, is worth more than any benchmark.
Why benchmarks do not transfer.
A 20% win rate and a 60% win rate can describe identical businesses that count differently. One counts every opportunity created, the other counts only deals that reached proposal.
Before comparing to anybody, write down what you count. Then never change it, because the trend is the useful part.
The three ways the number gets inflated.
Deleting or disqualifying losses rather than marking them closed lost. The pipeline looks healthier and the history becomes useless.
Counting only deals that reached a late stage, which measures how good you are at closing deals you were going to close.
Leaving dead deals open forever so they never count as a loss. This is the most common, and it also breaks every stage timing measurement you might want later.
What to measure instead.
Win rate by segment, by deal type and by source. The aggregate number hides everything useful. A business winning 60% of renewals and 20% of new business has one problem, not an average.
And win rate by whether a specific signal was present. That comparison is what tells you which signals to weight.
Questions
What is an average B2B sales win rate?
Published figures commonly land between 20% and 30%, but they are not comparable because companies count opportunities differently. Your own consistent trend is more useful than any benchmark.
How do you calculate win rate?
Closed won divided by closed won plus closed lost, over a period. The important part is defining which opportunities count and never changing that definition.
It arrives in Slack
Every morning, each rep gets one message naming the deals on their own book that moved overnight, biggest mover first, with the reason beside each number and the deals that have gone quiet underneath.
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Related reading
What pipeline coverage is, and why 3x is usually wrong
Pipeline coverage is open pipeline divided by quota. The standard 3x rule is a guess, and your own win rate gives you a better number.
Why your forecast is wrong, and the query that shows by how much
Most forecasts multiply deal value by a stage probability nobody has checked. Here is the gap between that number and the actual win rate.
A CRM hygiene checklist that takes an hour
The handful of data problems that quietly break forecasting, reporting and any scoring model built on top. What to check and in what order.
How to find the single threaded deals in your pipeline
Single threaded deals lose more and look healthy right up until they do not. How to find yours and what to do about them.
Reviewed September 20, 2026 against the product as it behaves today.