Sales glossary

Forecast

A forecast is the sales team's prediction of revenue expected to close in a specific period, built from deal stages and close dates in the pipeline.

Published 25 September 2026

A forecast is the sales team's prediction of revenue expected to close in a specific period, built from deal stages, close dates, and deal size across open opportunities in the pipeline.

Unlike a pipeline report, which shows everything in motion, a forecast is a commitment: it's what leadership expects the team to deliver. It answers the question every finance department asks: what will actually close by month-end or quarter-end?

Forecasts drive hiring, marketing spend, cash flow planning, and board presentations. An inaccurate forecast creates chaos downstream—a sales leader under-forecasting looks like she can't close; one over-forecasting triggers layoffs when revenue misses.

How forecasts work on a real deal

You're an account executive with four open deals:

If your company forecasts at 100% (only deals your rep swears will close), you'd forecast $55K for December (Zenith's 30% deal doesn't count; Nova's 45% is below your threshold). If your company uses weighted probability, you'd forecast (120K × 0.6) + (50K × 0.9) + (200K × 0.45) + (85K × 0.30) = $257.5K across both months.

Most SaaS companies use a hybrid: they require reps to hit certain pipeline thresholds (like 3x coverage), then roll up reps' forecasts with weighted probability, then apply a historical accuracy multiplier. If reps historically over-forecast by 15%, the leader multiplies by 0.85.

Forecast vs. pipeline, quota, and commit

Term Definition Used for
Forecast Revenue expected to close in a specific period based on deal stages and probability Planning cash flow, setting expectations with board
Pipeline All open opportunities in any stage, typically valued at deal size without probability Tracking team activity, calculating coverage ratios
Quota The revenue target a rep or team is accountable for hitting Compensation, performance reviews, hiring decisions
Forecast commit The forecast amount the sales leader formally commits to—holding their job on it Board reporting, financial planning, accountability

A rep can have a strong pipeline (20 deals, $1.2M) but a weak forecast ($400K expected to close this month) because the deals are early-stage. A rep can hit quota ($800K target) with a mediocre forecast ($750K predicted) if she closes deals faster than expected.

The mistake people make with forecasts

Sales leaders and finance teams treat forecasts as hard numbers when they're actually predictions that decay over time. A deal forecasted to close Dec 8 is much safer on Dec 7 than it was on Dec 1—the probability has compounded. Yet many companies lock the forecast on the first of the month and treat it as fixed, ignoring the information that surfaces mid-month (a champion left, procurement went dark, legal is stuck on MSA language).

Reps also game forecasts by pulling close dates forward to earlier periods to chase urgency, then slipping the deal when it doesn't close. A healthy forecast culture updates weekly and ties rep compensation to forecast accuracy, not just to hitting the number.

When a forecast becomes a commit

A forecast commit is the subset of the forecast that the sales leader formally signs off on—the number she's willing to miss her bonus on. This is usually 70–85% of the full forecast and gets reported to finance and the board. The gap between forecast and commit is how leaders build in buffer without lying.

Common questions

What's the difference between a forecast and a pipeline number?

Pipeline is all open opportunities at face value; forecast is the revenue expected to actually close in a specific period, accounting for deal stage and probability. A $2M pipeline might generate a $600K forecast if most deals are early-stage.

Should I forecast at 100% probability or use weighted numbers?

Weighted probability is more accurate over time, but many teams use 100% for deals in late stages (e.g., in legal or sent). The best approach: forecast by stage with different thresholds—forecast 100% of deals in legal, 75% in negotiation, 50% in demo.

What happens if my forecast is always wrong?

Finance loses trust in your pipeline data, deals start getting pulled into earlier periods to hit numbers (deal slip becomes the norm), and leadership can't plan hiring or spend. Fix it by tying comp to forecast accuracy and updating the forecast weekly, not monthly.

Can I forecast a deal that's not on my deal stage yet?

No—deals should be in the CRM and assigned a stage before they hit the forecast. If you're forecasting deals reps haven't logged yet, you don't have a forecast; you have a guess.

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