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Blog · Forecast and pipeline · Sales teams

What is a good win rate? The answer depends on three things you can measure

The honest answer to what B2B sales win rate a team should have: the 20 to 30 percent figures usually quoted depend entirely on the stage the rate is measured from, whether it is counted by deals or by value, and what happens to deals that never close. This page gives the ranges by stage and desk, the three measurable things that set the right figure for one team, and the table to compute before anyone quotes a percentage.

The short answerA good win rate depends on where it is measured from. From first qualified opportunity, most B2B teams win 15 to 30 percent; from proposal, 35 to 55; from final shortlist, 50 to 70. A rate quoted without its stage is not comparable to anything. It also depends on whether it is by count or by value, because large deals usually win at a lower rate, and on what the team does with deals that stall, since a pipeline that never marks losses reports whatever rate it likes. Compute the rate at a stated stage, both ways, with stalled deals aged out, and compare it to the team's own prior year.

Win rate is won over decided, and the useful question is decided from where, by what, and with what done about the undecided. This page answers those three.

The ranges, by stage

Measured from Typical B2B range Note
Lead or first meeting 5 to 15 percent Mostly a qualification rate
Qualified opportunity 15 to 30 percent The usual quoted figure
Proposal or quote sent 35 to 55 percent Quote conversion on a distribution desk
Final shortlist, verbal 50 to 70 percent Late-stage forecast accuracy
Renewal 80 to 95 percent A different measure with its own page

By desk, from qualified opportunity: enterprise software 15 to 25 percent, mid-market 20 to 30, industrial distribution quotes 30 to 50, consulting proposals 25 to 40, insurance broking new business 20 to 35, construction tenders 10 to 25.

The three things that decide it

1. The stage, stated

Win rate from stage S = deals won ÷ (deals won + deals lost) among deals that reached stage S

The same one hundred opportunities:

Stage reached Deals Won Lost Win rate from here
Qualified 100 22 78 22%
Proposal 50 22 28 44%
Shortlist 32 22 10 69%

Three correct rates. The team's report should say which, and the same one every period.

2. By count and by value

Basis Won Decided Rate
Count 22 100 22%
Value $1,900,000 $12,000,000 16%

Large deals lose more often. A team with a 22 percent count rate and a 16 percent value rate needs value-weighted coverage, and the pipeline coverage benchmark uses the value figure.

3. Stalled deals, aged out

A pipeline where losses are never marked reports a win rate on the deals someone bothered to close. The rule: a deal past a stated multiple of the stage's normal age, with no activity in a stated window, is counted as lost for the rate, whatever its status says.

Status Deals Counted as
Won 22 Won
Lost 60 Lost
Open, within age norm 30 Not yet decided
Open, past 2× age norm, no activity 60 days 18 Lost for the rate

Win rate on marked outcomes: 22 of 82, 27 percent. With the stalled eighteen: 22 of 100, 22 percent. The second is the one the forecast should use.

The table to compute

Measure Formula From
Win rate from stage, count Won ÷ decided among deals reaching stage CRM deals
Win rate from stage, value Same, value-weighted CRM deals
Stalled rule Age > 2× stage norm and no activity in 60 days CRM activity
Rate with stalled as lost Won ÷ (decided + stalled) Above
Same, prior four quarters Same, trailing CRM
Opportunity count and pipeline value beside it Created per quarter; open value CRM

The forecast bias worked example shows what a wrong win rate does to the forecast, and the size-weighted hit ratio piece covers the same count-versus-value problem on a trading desk.

Where the question goes wrong

Stage unstated. Forty-four percent compared to a benchmark of twenty-two, and the team congratulated.

Count only. The largest deals lost, the rate unmoved.

Losses never marked. Sixty percent, on the deals that were closed.

Rate up, pipeline down. Better qualification, or a team that stopped prospecting; the count says which.

The short answer

A good win rate is one measured from a stated stage, by count and by value, with stalled deals counted as lost, at or above the team's own prior year, with opportunity creation steady beside it. For most B2B teams that is 15 to 30 percent from qualified opportunity, and the figure for one team is on one table from its own CRM. Covirage computes it from the deal export each week with the stage, the basis and the stalled rule stated on the page.

Questions people ask

Why do published win rates vary so much?

Because they are measured from different stages and count different things. A vendor quoting 47 percent is measuring from proposal; a team measuring from first meeting sees 18 on the same deals. Neither is wrong. Comparing them is.

What is the difference between win rate and close rate?

Usage varies, and the difference is the denominator. Win rate is usually won over won plus lost; close rate is often won over all opportunities created, including those still open or abandoned. The first flatters a team that never marks losses; the second penalises a team with a long cycle. State which, and compute both.

Should we push the win rate up?

Only if the pipeline stays the same. A win rate rises when a team qualifies harder and creates fewer opportunities; that can be good, or it can be a team that stopped prospecting. Win rate beside opportunity count and pipeline value is the read; win rate alone is not.