Forecast (Sales Forecast)
A sales forecast is a prediction of expected closed revenue for a given period, based on the current pipeline and deal likelihood.
Also known as: Sales forecast, Revenue forecast
In B2B sales, a forecast is a prediction of how much revenue a team, territory, or company expects to close within a specific period, such as a month, quarter, or year. It is built from the current pipeline of open opportunities, adjusted for the likelihood that each deal will actually close and when.
Forecasting matters because it drives nearly every downstream decision a revenue organization makes: hiring plans, quota setting, board reporting, and cash flow projections. An accurate forecast lets leaders spot gaps early and take action, while a consistently wrong one erodes trust and leads to poor resource decisions.
How a sales forecast works
A forecast starts with the open opportunities in your pipeline. Each deal has an amount, an expected close date, and a stage or probability that reflects how likely it is to be won. To build the forecast for a period, you total the deals expected to close in that window, adjusted for confidence.
There are several common methods. Stage-based forecasting multiplies each deal's value by the probability tied to its pipeline stage. Weighted forecasting applies a custom probability to each deal. Category forecasting groups deals into buckets like commit, best case, and pipeline. Many teams also compare a bottom-up forecast, rolled up from individual reps, against a top-down target set by leadership.
- Deal amount: the potential revenue if the opportunity is won.
- Close date: the period the deal is expected to land in.
- Probability or stage: how confident you are the deal will close.
- Category: commit (high confidence), best case (possible upside), or pipeline (still early).
Where forecasting comes up in the sales cycle
Forecasting is a recurring rhythm, not a one-time event. Reps update their opportunities as deals progress, and managers review those numbers in weekly or biweekly forecast calls. Those figures roll up through the organization to sales leadership and eventually to finance and the board.
AEs are usually responsible for forecasting their own deals accurately, including committing to which ones will close. Sales managers challenge and refine those calls, and RevOps or sales operations teams maintain the process, tooling, and definitions that keep everyone consistent.
- Weekly rep and manager forecast reviews.
- Quarterly roll-ups to leadership and finance.
- Quota and territory planning based on projected attainment.
- Board and investor reporting that depends on predictable numbers.
How forecast relates to neighboring terms
A forecast is closely tied to pipeline, but they are not the same. Pipeline is the full set of open opportunities regardless of confidence, while the forecast is the subset you actually expect to close in a period. Pipeline coverage measures how many times over your pipeline exceeds your target.
Forecast also relates to quota, which is the target a rep or team is expected to hit, and to bookings, which is the actual closed revenue once deals are signed. Comparing forecast to actual bookings gives you forecast accuracy, a key measure of how well a team predicts its own results.
- Pipeline: all open deals; the forecast is the portion expected to close.
- Quota: the target; the forecast is your prediction against it.
- Bookings: actual closed revenue used to measure accuracy.
- Commit: the deals a rep is confident enough to promise.
Common mistakes with forecasting
The most frequent error is optimism, where reps include deals that are not truly ready to close or push close dates that keep slipping. This inflates the number and destroys trust when the period ends short. The opposite problem, sandbagging, means understating the forecast to look good later, which distorts planning just as much.
Other mistakes stem from process, not intent: inconsistent stage definitions, stale opportunities that are never updated, and treating the forecast as a spreadsheet exercise rather than a disciplined review of each deal's real status.
- Including deals with no clear reason or timeline to close.
- Letting close dates slip repeatedly without updating the forecast.
- Using inconsistent stage or probability definitions across the team.
- Failing to update opportunities, leaving the forecast based on stale data.
Frequently asked questions
What is the difference between a forecast and a pipeline?
Pipeline is the total set of open opportunities you are working, regardless of confidence. The forecast is the subset of that pipeline you actually expect to close within a given period, adjusted for likelihood and timing.
What does forecast accuracy mean?
Forecast accuracy compares what you predicted would close against what actually closed. High accuracy means leadership can trust the numbers for planning; consistently missing or overshooting signals a broken forecasting process.
What are commit, best case, and pipeline categories?
They are confidence buckets. Commit deals are ones you are highly confident will close and are willing to promise. Best case includes possible upside if things go well. Pipeline covers earlier deals that could close but are not yet dependable.