Win Rate

Win rate is the share of closed sales opportunities a rep wins, computed as wins over the sum of wins and losses. It is the single best one-number measure of selling skill once you control for segment and deal size, and it is the metric most often inflated by quietly excluding deals that should count as losses.

The denominator is where the game lives. A rep who marks twelve cold leads as "no decision" instead of "lost" can move a 22% win rate to 38% without selling a single extra dollar. The discipline of what counts as a closed opportunity matters more than the formula.

Formula

win_rate = closed_won / (closed_won + closed_lost)

The window is usually trailing twelve months. Stage matters: most analytics systems compute win rate from a defined "qualified" stage forward, not from raw lead. "No decision," "disqualified," and "duplicate" are excluded from the denominator at most companies, which is precisely how reps inflate it.

Worked example

A SaaS mid-market AE has 47 qualified opportunities reach a terminal stage in the last twelve months. Twelve closed-won. Twenty-six closed-lost. Nine were marked "no decision." Reported win rate is 12 / (12 + 26) = 31.6%. The honest win rate including no-decisions, which most CFOs would argue are losses, is 12 / 47 = 25.5%. Same rep, six-point swing, no extra revenue.

When it's used

Win rate drives forecast accuracy, pipeline coverage ratio targets, and rep-level coaching priorities. According to Gartner's 2024 B2B sales research, enterprise B2B win rates have been compressing for five years as buying committees grow — the median is now closer to 17% than the 22% number most playbooks still cite. SMB sits closer to 30%, mid-market in the low twenties, enterprise in the mid-teens.

Common misconceptions

Average win rate is almost always misleading without segmentation. Three traps. Inbound mix: a rep with 70% inbound will out-win a rep with 70% outbound at the same skill level, because inbound prospects already self-qualified. Deal-size mix: small deals close faster and cleaner; a rep who works the SMB book shows higher win rate than a peer working enterprise even if the enterprise rep is better. No-decision exclusion: if "no decision" is not in the denominator, the number is not honest.

The fix is to compare reps inside a peer cohort that holds segment, lead source, and deal-size band constant. That is exactly what Alpha Score does — it z-scores win rate inside the cohort before combining it with revenue and velocity. The cohort medians live on the benchmarks page.

Related WinsAbove concepts

Win rate is one of three inputs to sales velocity, the throughput model that ties win rate to revenue per day. It is also the variable that sets the right number for pipeline coverage ratio. For the verified, cohort-normalized version of all three, see Alpha Score and the segment medians on benchmarks.