What this tells you
Win rate is the share of decided deals that close in your favor. Only resolved deals count, so open pipeline stays out of the math. The formula is simple:
Win Rate = Deals Won / (Deals Won + Deals Lost) x 100
The win:loss ratio restates the same result in plainer terms. A ratio of 1 : 3.6 means you lose roughly three and a half deals for every one you close.
Why a single win rate hides more than it shows
Median B2B win rates have fallen to 19% (First Page Sage, 2025). That benchmark is useful for a sanity check, but a blended number tells you almost nothing about what to fix.
I have watched teams celebrate a healthy company-wide win rate while one segment quietly bled deals. New-business win rates run far below expansion. Inbound converts at a different clip than outbound. A competitive displacement closes nothing like a greenfield deal. When you split win rate by source, segment, and competitor, the average breaks into several very different numbers, and only then can you see where the real leak is.
Loss rate is the other half of the same picture. An 80% loss rate is not one problem. It is a stack of reasons, ranked by frequency and by dollars left on the table. Counting losses is easy. Knowing which losses to chase is the hard part.
ORM's take: from rate to prescription
This calculator gives you the rate. It cannot tell you which segment is dragging the number down, which losses were winnable, or what to change next quarter to move it.
That is the job our custom prescriptive models do. We decompose win rate by segment, rep, source, and competitor, then prescribe the specific moves that lift it: requalify this segment, reprice against that competitor, reallocate reps toward the deals you actually close. The rate is the diagnostic. The prescription is where revenue moves.
Get the full diagnostic
This tool tells you your win rate. ORM tells you what to change.
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