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Pipeline Analytics

Carryover Pipeline

ORM Technologies
Home/ Glossary/ Carryover Pipeline
Definition Carryover pipeline is open pipeline that already existed on day one of a period and is expected to close inside it, as distinct from pipeline created and closed within the same period.

Carryover pipeline is the open value sitting in the pipeline on the first day of a period with a close date inside that period. It is the visible part of the quarter, which is why teams over-trust it. Coverage ratios are built almost entirely from carryover, and coverage is not the forecast.

Where a quarter's revenue actually comes from

A period draws from three distinct sources.

1. Carryover deals already in the pipeline on day one that are expected to close this period. 2. In-period deals that do not exist yet, but will be created, qualified, and closed inside the window. 3. Pull-forward deals from future periods that close early, often with discounting or a tradeoff against a later quarter.

Most teams inspect the first source in detail and underestimate how much revenue comes from the second. They also understate the cost of the third, since pulling a deal forward borrows from the next period and usually gives up price to do it. See why the 3x pipeline coverage rule is wrong for the full argument.

The conversion problem

Carryover looks like the safest revenue in the plan because it is already qualified and already staged. The data says otherwise. Roughly 20% of pipeline dated inside a quarter on day one closes in that quarter, so a coverage number built on carryover is describing a pool where most of the value will not land as dated.

Two subsets explain much of the gap. Aged deals are the first, and ORM applies a 12 month rule for most customers, with more than 10% of pipeline typically untouched for a year. Repeat slippers are the second, since a deal that arrives in the quarter on its second or third close date is less likely to close even when it sits in commit.

Making it useful

Split carryover into first-dated deals and re-dated deals, then apply different expectations to each. Report the in-period creation requirement as its own number, because a team that needs to create and close a quarter of its target has a demand problem that no amount of pipeline inspection will surface.

The point of the split is knowing the shape of the quarter on day one, early enough to act. Getting the forecast right in the final week does not help, because by then the quarter has already happened. For the mechanics, see pipeline coverage and sales forecasting.

Frequently Asked Questions

How much of a quarter comes from carryover pipeline?

Less than most teams assume. ORM's data shows roughly 20% of the pipeline carrying in-quarter close dates on day one closes in that quarter, so 80% of that dated value is not realized in the period.

What are the other sources of a quarter's revenue?

Deals created and closed inside the quarter, and deals pulled forward from future periods. Most teams model the first source closely and the other two barely at all.

Does carryover pipeline convert better than new pipeline?

Not automatically. Carryover includes deals that were already dated for an earlier period and failed to close, and those carry a lower probability than their stage suggests.

How should carryover pipeline be reported?

Separate it from in-period creation in every coverage view, and split it again into deals that have never slipped and deals arriving on a second or third close date.

Put these metrics to work

ORM builds custom revenue forecast models that turn concepts like carryover pipeline into prescriptive action for your team.

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