A full-year reforecast rebuilds the remaining quarters of the annual forecast using current conditions instead of the assumptions the plan was written on. It answers where the year now lands. It does not overwrite the plan, which stays fixed as the measurement baseline for the whole year.
What triggers one
Reforecasts should be triggered by broken assumptions, not by the calendar. ORM's Pete Furseth identifies stale assumptions as the most common reason a forecast fails, and gives specific examples of what changes underneath a plan. A new competitor creates pricing pressure and average deal size falls. Interest rates rise, private equity slows capital deployment, portfolio companies cut cost, and fewer companies buy, which shows up as declining win rates. Market uncertainty stretches the time from qualified to closed. A territory redesign leaves pipeline looking healthy while execution suffers.
Each of those breaks a different input. A plan built on an average deal size the market no longer supports cannot be recovered by selling harder, and the arithmetic gap has to land somewhere.
Rebuild the drivers, not the target
The most common failure is reforecasting the output. Someone lowers the revenue number, leaves win rate and cycle length untouched, and the model still implies the original volume of closed deals. A useful reforecast starts one level down.
- Reset conversion rates by stage using recent cohorts rather than trailing twelve months, which dilutes a recent shift. - Reset average deal size against closed-won values, not pipeline values. - Reset cycle length, since longer cycles push revenue across the year-end boundary regardless of demand. - Reset required pipeline creation, which usually rises once the first three inputs move.
Our guide to how to forecast revenue covers the driver decomposition in detail.
Respect seasonality when you redistribute
Reforecasts frequently spread the remaining number evenly across quarters, which no SaaS business actually delivers. Pete Furseth notes that Q2 and Q4 typically run stronger than Q1 and Q3, and that the third month of a quarter outperforms the first two. A flat redistribution understates Q4 and overstates Q3, then produces a variance conversation about a pattern you already knew.
Report it against the plan, side by side
Show plan, prior forecast, and current reforecast in one exhibit, with the movement between them attributed to drivers. That structure lets a board see whether the year moved because demand changed, because pricing changed, or because timing moved revenue into the next fiscal year. Keep grading forecast accuracy against the original calls after a reforecast, since a team that reforecasts often and still misses has a model problem rather than a market problem. The same discipline applies to every downstream sales forecast built on top of it.
Frequently Asked Questions
When should a company reforecast the full year?
When an assumption behind the plan has demonstrably changed, not on a fixed calendar. A single soft month is noise. A structural shift in win rates, average deal size, or sales cycle length across segments is a broken assumption, and every remaining quarter built on it is now wrong. Waiting for the next planning cycle to acknowledge that wastes the quarters where you could still respond.
Does a reforecast replace the annual plan?
No. The plan is the approved commitment and stays fixed so variance remains measurable all year. The reforecast is the current expectation for where the year lands. Reporting both keeps two separate questions answerable: whether the company is on plan, and what it now expects to deliver.
How is a reforecast different from a rolling forecast?
A rolling forecast always extends the same number of periods forward and updates on a set cadence. A reforecast is triggered by changed conditions and is bounded by the fiscal year, which is what the board and the budget are tied to. Companies often run both, with the rolling view for operating decisions and the reforecast for the board.
What has to change in the model, not the spreadsheet?
The conversion assumptions. Most reforecasts adjust the revenue target and leave win rates, deal sizes, and cycle lengths at their original values, which produces a number that is arithmetically consistent and operationally wrong. If deal sizes fell, the reforecast needs more opportunities per closed dollar, more capacity, or a lower landing point.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like full-year reforecast into prescriptive action for your team.
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