Percentage of deals initiated by partners that are closed successfully. It can help the partnership department track the effectiveness of its sales efforts and identify opportunities for improvement
How to calculate it
Partner deal close rate = (partner deals won / total partner deals in the period) x 100.
Define each input before you trust the number.
- Numerator: partner deals won. Count only deals that closed-won in the period, and only deals a partner sourced or co-sold. Tie this to your deal registration records so partner involvement is recorded, not assumed.
- Denominator: total partner deals in the period. Count every partner deal that reached a decision in the period, won plus lost. Pick the rule that fits your motion: deals that closed in the period, or deals that entered the pipeline in the period. State which one. Mixing the two inflates or deflates the rate.
- Period. Set a fixed window, a quarter is common, and keep it the same every time you report.
SalesHive notes that inconsistent definitions of "opportunity" and "closed-won" make close-rate comparisons meaningless, so write your rule down and apply it the same way each quarter (SalesHive, https://saleshive.com/glossary/closing-ratio).
A worked example
Suppose a company runs a co-selling motion through a handful of partners. In the second quarter, partners reached a decision on 40 deals: 12 closed-won and 28 closed-lost.
Partner deal close rate = (12 / 40) x 100 = 30%.
Three out of every ten partner deals that reached a decision turned into customers. The number only means something next to the denominator rule. If the same company instead counted the 60 partner deals that entered the pipeline that quarter, including the ones still open, the rate would read 12 / 60 = 20%. Same wins, different denominator, different headline. That is why the denominator has to be stated.
Close rate vs win rate
The two terms get used as if they mean the same thing. They do not, and the difference is the denominator.
| Partner deal close rate | Partner deal win rate | |
|---|---|---|
| Denominator | All partner deals in the period, including ones still open | Only partner deals that have closed, won plus lost |
| Question it answers | Of everything partners brought in, how much converted? | Of the partner deals we finished, how many did we win? |
| Tends to read | Lower, because open deals sit in the denominator | Higher, because unresolved deals are excluded |
PandaDoc frames the same split for sales generally: close rate measures conversions against total leads, while win rate measures deals won against total closed opportunities (PandaDoc, https://www.pandadoc.com/blog/win-rate-vs-close-rate/). Kixie notes the terms are often treated as interchangeable in everyday use, which is exactly why you should label which one you report (Kixie, https://www.kixie.com/sales-blog/what-is-close-rate-and-how-do-you-calculate-it/). Pair this metric with your partner conversion rate and partner sales cycle length to see the full partner funnel, not just the last step.
What a healthy number looks like
There is no partner-specific public benchmark, so borrow from B2B sales and read it with care. SalesHive reports that close rates on well-qualified B2B opportunities often sit in the 15-25% range, with an industry average near 20-21%, while top B2B SaaS teams reach 30% or more on well-qualified deals and complex enterprise deals often close in the teens (SalesHive, https://saleshive.com/glossary/closing-ratio). LinkedIn puts a good B2B closing ratio at around 20-30% (LinkedIn for Business, https://business.linkedin.com/sell/resources/sales-terms/closing-ratio). Treat these as a sanity check, not a target. A partner motion that qualifies hard up front, using a method like CASO to score opportunities before they enter the pipeline, should expect a higher close rate than one that registers every lead a partner mentions.
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