A deal close probability curve describes when a deal is expected to close and how fast that expectation decays. Rather than assigning one predicted date, it spreads probability across weeks, drawn from what comparable resolved deals actually did.
Reading the Curve
Take a group of similar opportunities and plot the share that had closed by each week after creation. The result rises steeply through the early weeks, then flattens.
ORM builds these curves per deal group, spanning 1 to 80 weeks. Most of the expectation sits before week 12. Very few groups carry meaningful expectation past 52 weeks. That shape is the argument behind treating a deal still open after twelve months as unlikely to close, which ORM applies as a twelve-month rule for most of its customers.
The flat tail is the useful part. Once a deal passes the point where its curve stopped rising, the remaining probability is thin no matter what the close date field says.
Why a Curve Beats a Close Date
A close date is a point estimate a rep controls. It moves. A curve is a distribution built from outcomes nobody edits after the fact.
That difference changes what a pushed date means. When a rep moves a close date within the steep part of the curve, the deal is still inside its normal window. When a rep moves a close date past the flattened tail, the deal has left the window that comparable deals closed in, and the push is evidence rather than a scheduling detail. ORM identifies a rep changing the close date as the strongest single signal of deal slippage.
Age Against the Curve, Not the Calendar
A ninety-day-old deal is not automatically stale. It depends on which group it belongs to. A short-cycle transactional deal at ninety days is far past its curve. An enterprise deal with a long expected cycle at ninety days is on pace.
This is why blanket aging rules mislead. Bucketing everything at 30, 60, and 90 days flags healthy long-cycle deals and clears unhealthy short-cycle ones. Compare each deal to the curve for its own group instead.
Using Curves in Pipeline Review
Sort open pipeline by remaining probability rather than by amount. The largest deal in the pipeline is not the most important one if its curve has already flattened.
Pair the curve with an activity test. ORM counts meaningful activity as a change in stage, close date, or amount. A deal past the steep part of its curve with none of those changes is not slow, it is over. The earliest warning is the absence of a signal rather than a negative one.
Curves also expose the gap between visible pipeline and the quarter you will actually book. Coverage says how much exists, and the curve says how much of it can still close in time, a distinction covered in the 3x pipeline coverage rule is wrong and reflected in pipeline coverage done properly.
Frequently Asked Questions
What is a deal close probability curve?
It is a distribution of close likelihood over time for a group of similar opportunities. Instead of a single predicted close date, it shows what share of comparable deals had closed by each week after creation, which lets you evaluate whether a specific deal is on pace.
How long do these curves typically run?
In ORM's models the curves span 1 to 80 weeks, with most of the expectation concentrated before week 12. Very few groups carry meaningful expectation past 52 weeks, which is the basis for treating a deal open beyond twelve months as unlikely to close.
How is a close curve different from a rep's close date?
A rep close date is a point estimate that gets moved. A curve is a distribution built from resolved outcomes, so it tells you the probability mass remaining for a deal at its current age. When a rep pushes a date past the point where the curve has flattened, the model already knows the deal has left its window.
What counts as activity that keeps a deal alive on the curve?
ORM treats meaningful activity as a change in stage, close date, or amount. Logged emails and calls without one of those changes do not indicate forward motion, and a deal with no such change over a long period is aging out regardless of what the rep reports.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like deal close probability curve into prescriptive action for your team.
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