Optimized Sales Optimized Marketing Target Accounts For CROs For CFOs For CMOs Blog News Glossary Compare Tools About Schedule a Demo
Comparisons

Logo Win Rate vs Revenue Win Rate

Pete Furseth 6 min read
win raterevenue win ratesales metricsRevOpsforecasting
Logo Win Rate vs Revenue Win Rate
Home/ Blog/ Logo Win Rate vs Revenue Win Rate

What is the difference between logo win rate and revenue win rate?

Logo win rate counts deals. Revenue win rate counts dollars. Both divide wins by decided outcomes. One uses record counts as the unit, the other uses contract value, and on the same data set they rarely match.

Logo win rate answers how often you win. Revenue win rate answers what share of the money you competed for you actually captured. Those are different questions with different owners. A sales manager coaching call execution wants the first one. A CFO building a plan wants the second.

The gap between them is the most useful part. When logo win rate holds steady and revenue win rate drops, the team is winning more of the small deals and fewer of the large ones, which is a segment and competitive problem that no amount of activity coaching will fix.

Put this to work on your numbers
Run your own numbers with the free Pipeline Velocity Calculator, then see how ORM builds it into a custom model.

How do you calculate logo win rate?

Divide the number of closed-won opportunities by the sum of closed-won and closed-lost opportunities for the period. Twenty-eight wins against sixty losses gives a 32 percent logo win rate.

Open deals stay out of the calculation. Including them punishes the metric for deals that simply have not resolved yet, and it makes the number swing with pipeline volume instead of with performance.

The metric is easy to compute and easy to read, which is why it dominates dashboards. Its weakness is the assumption baked into it: that every deal in the denominator carries the same weight. A $12,000 win and a $600,000 loss are one win and one loss in this math.

How do you calculate revenue win rate?

Add the value of every closed-won deal, then divide by the combined value of closed-won and closed-lost deals. Winning $2.1 million while losing $4.9 million produces a 30 percent revenue win rate.

Use one amount definition on both sides. Mixing annual contract value on wins with total contract value on losses makes multi-year losses look enormous and drags the number down artificially. Pick one and enforce it in the reporting query rather than in a policy document.

The other requirement is that closed-won amounts reflect what was actually signed rather than what was quoted. If reps do not update the amount at close, revenue win rate inherits the optimism sitting in the pipeline.

How do the two compare side by side?

Logo win rate is usually the higher of the two, and the size of the gap is the useful part.
DimensionLogo win rateRevenue win rate
UnitDeal countContract value
FormulaWins divided by wins plus lossesWon value divided by won plus lost value
AnswersHow often do we winHow much of the money did we capture
Best used forCoaching, competitive analysis, rep comparisonForecasting, planning, segment strategy
Distorted bySmall deals dominating the countInconsistent ACV and TCV handling
Typical relationshipUsually the higher of the twoUsually lower when large deals lose
The pattern in the last row is common enough to be a default expectation. When revenue win rate sits above logo win rate, the team is winning the large deals and losing the small ones, which is a healthier problem and usually a qualification opportunity.

Why do the two numbers diverge?

Because large deals behave differently from small ones at every stage. Bigger evaluations bring more stakeholders, a procurement process, a security review, and at least one competitor who has been in the account longer. Win rates fall as deal size rises in most B2B SaaS businesses, so a count-based average flatters the results.

Market conditions widen the gap. When a new competitor enters and creates pricing pressure, average deal size falls and revenue win rate falls with it while logo win rate barely moves. When capital tightens and buyers cut cost, win rates drop across the board and the large deals go first.

Discounting shows up here too. Most deals close for less than the value sitting in the CRM. A pipeline carrying an $80,000 average deal size against a $40,000 closed-won average is losing half its value somewhere between quote and signature, and only the revenue version of the metric can see it.

Which one belongs in the forecast?

Revenue win rate, because a forecast produces dollars and a count-based rate assumes uniform deal size. Applying a 32 percent logo win rate to a pipeline where the large deals convert at 15 percent and the small ones at 45 percent will overstate revenue every time the mix tilts upmarket.

This is the same failure mode that makes stage-based weighted pipeline unreliable. A single probability applied across deals with different economics is precision without accuracy. Segment the win rate by deal size band before it goes anywhere near a sales forecast.

What does the gap tell you about strategy?

A persistent gap is a message about where the business actually competes. If revenue win rate runs well below logo win rate for three quarters, the product wins in the segment below your target ICP and struggles in the one you are selling to. That is a positioning and packaging conversation, not a pipeline conversation.

Track the gap as its own metric. Plot logo win rate and revenue win rate on the same chart and watch the spread. A widening spread means the mix of what you win is drifting downmarket, which shows up in average deal size a quarter or two later and in ARR growth after that.

How should you report both?

Put them next to each other, always, with the amount definition labeled. Break both down by segment and deal size band, because the aggregate numbers hide the exact pattern you are trying to find.

Then add one more cut: win rate by lead source. Deals that arrive through different channels convert at different rates and different values, and a source mix shift will move both metrics without anything about sales execution having changed at all.

Frequently Asked Questions

What is the difference between logo win rate and revenue win rate?

Logo win rate counts deals. It divides the number of closed-won opportunities by the number that reached a decision. Revenue win rate counts dollars. It divides won revenue by won plus lost revenue over the same set. Logo win rate tells you how often you win. Revenue win rate tells you what share of the money you competed for you actually captured.

How do you calculate revenue win rate?

Add up the value of closed-won deals in the period, then divide by the combined value of closed-won and closed-lost deals. If you won $2.1 million and lost $4.9 million, revenue win rate is 30 percent. Use the same amount definition on both sides, either annual contract value or total contract value, because mixing them makes multi-year losses look larger than they are.

Why is my revenue win rate lower than my logo win rate?

Because the deals you lose are bigger than the deals you win. That pattern usually means the team is competitive downmarket and outmatched on larger, more complex evaluations where more stakeholders and a procurement process are involved. A logo win rate of 32 percent against a revenue win rate of 19 percent is a segment problem, not an effort problem.

Which win rate should a forecast use?

Use revenue win rate for anything that produces a dollar output, because a forecast is denominated in dollars and a count-based rate implicitly assumes every deal is the same size. Keep logo win rate for coaching and competitive analysis, where the question is how often reps prevail rather than how much they captured.

Does closing at a discount show up in win rate?

Only in the revenue version, and only if you record the final amount. Most deals close for less than the value carried in the CRM. For example, a pipeline with an $80,000 average deal size against a $40,000 closed-won average. Logo win rate is blind to that gap. Revenue win rate captures it if the closed amount reflects what was actually signed.

PF
Pete Furseth
ORM Technologies
Pete has built custom revenue forecast models for B2B SaaS companies for over a decade.

See how ORM turns these insights into action

ORM builds custom revenue forecast models for B2B SaaS companies. Not dashboards. Prescriptive analytics that tell you what to do next.

Schedule a Demo