When a deal moves out of the quarter, the standard treatment is to move it into the next one at the same value, same stage, and roughly the same confidence. It closed late rather than not at all.
That treatment is optimistic in a specific and measurable way.
The finding
If a deal slips from one quarter to the next, it is less likely to close, even if it is in commit.
Read the second half of that sentence carefully. Commit is the category reserved for deals the rep is prepared to stand behind, and it is not protective here. A deal can sit in commit, slip, remain in commit, and slip again.
Why slippage is evidence rather than noise
A slip is not a neutral scheduling event. It is the visible outcome of something that went wrong in the deal, and whatever that was usually has not been resolved by the calendar changing.
The common causes persist across the boundary. A buyer whose budget was deferred still has a deferred budget next quarter. A champion who lost internal support has not regained it. A procurement process that stalled restarts from where it stalled. An economic buyer who never engaged is still not engaged.
What changes at the quarter boundary is the reporting, not the deal.
There is a second effect that compounds it. Deals that slip have usually been worked hard already, which means the easy advances have been made and what remains is the part that was blocking. The pipeline inherits the residue.
What it does to the opening quarter
The practical damage lands on day one of the following quarter, in the number everyone uses to judge whether the quarter is resourced.
| Pipeline source | Treated as | Actual behavior |
|---|---|---|
| Newly created, current stage | Baseline probability | Baseline |
| Carried over, never slipped | Baseline | Roughly baseline |
| Slipped once | Baseline, usually | Below baseline |
| Slipped repeatedly | Baseline, still | Well below baseline |
Pricing it
You can measure this in your own data without a model, and the measurement is more persuasive than the argument.
1. Tag opportunities by slip count. How many times has the close date moved across a quarter boundary? 2. Compute win rate by slip count. Zero slips, one slip, two or more. 3. Apply the resulting factors to carried-forward pipeline in the opening forecast.
Most teams running this for the first time find the drop-off steeper than expected, and the exercise usually ends an argument that has been running for years about whether slipped deals are real.
Managing it rather than just discounting it
Discounting slipped pipeline makes the forecast honest. It does not improve the outcome. Three things do.
Require a changed plan, not a changed date. A deal that slips with no change to the close plan is very likely to slip again. The date moved and nothing else did. Distinguish slip causes. A deal that slipped because procurement added two weeks is genuinely delayed. A deal that slipped because the champion stopped responding is a different object wearing the same label, and the absence of engagement is the earliest and most reliable warning available. See the best deal-slippage signal. Cap re-commits. A deal on its third commit should require a different level of evidence than one on its first, because the stated confidence has now been wrong twice.The wider point is that a forecast built on close dates inherits the optimism in those dates, and slippage is where that optimism becomes visible and quantifiable. For definitions see deal slippage and pipeline slippage.
Frequently Asked Questions
Is a slipped deal just a delayed deal?
No. If a deal slips from one quarter into the next it becomes less likely to close at all, even when it is still marked commit. The slip carries information about the deal's viability, not only about its timing.How should slipped deals be treated in next quarter's pipeline?
At a lower probability than newly created pipeline of the same value and stage. Carrying them forward at their original probability overstates the opening quarter with deals that have already demonstrated the failure mode you are exposed to.Why does commit status not protect against this?
Because commit reflects the rep's stated confidence at a point in time, and the slip is evidence that the stated confidence was not predictive for that deal. A deal can be marked commit, slip, remain commit, and slip again.How do I price slippage in my own data?
Tag opportunities by how many times the close date has moved across a quarter boundary, compute win rate by slip count for zero, one, and two or more, then apply those factors to carried-forward pipeline in the opening forecast.What should be required when a deal slips?
A changed plan, not just a changed date. A deal that slips with no change to the close plan is very likely to slip again, because the date moved and nothing else did.Why do two teams with the same coverage face different quarters?
Because coverage cannot distinguish newly created pipeline from carried-forward slippage. A pipeline heavy with slipped deals is weaker than one of the same value built from new opportunities.Frequently Asked Questions
Is a slipped deal just a delayed deal?
No. If a deal slips from one quarter into the next it becomes less likely to close at all, even when it is still marked commit. The slip carries information about the deal's viability, not only about its timing.
How should slipped deals be treated in next quarter's pipeline?
At a lower probability than newly created pipeline of the same value and stage. Carrying them forward at their original probability overstates the opening quarter with deals that have already demonstrated the failure mode you are exposed to.
Why does commit status not protect against this?
Because commit reflects the rep's stated confidence at a point in time, and the slip is evidence that the stated confidence was not predictive for that deal. A deal can be marked commit, slip, remain commit, and slip again.
How do I price slippage in my own data?
Tag opportunities by how many times the close date has moved across a quarter boundary, compute win rate by slip count for zero, one, and two or more, then apply those factors to carried-forward pipeline in the opening forecast.
What should be required when a deal slips?
A changed plan, not just a changed date. A deal that slips with no change to the close plan is very likely to slip again, because the date moved and nothing else did.
Why do two teams with the same coverage face different quarters?
Because coverage cannot distinguish newly created pipeline from carried-forward slippage. A pipeline heavy with slipped deals is weaker than one of the same value built from new opportunities.
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