[GTM glossary](/glossary.md) Forecast categories RevOps & Pipeline # Forecast categories In short Forecast categories are the labels a CRM applies to opportunities to show how confident a rep or manager is that each deal will close in the current period. Common labels include pipeline, best case, commit, and closed won. They sit on top of deal stages. A stage describes where a deal is in the sales process, while a forecast category describes how much you trust it to land by quarter end. Roll the categories up and you get a forecast range instead of a single guess. ## The usual forecast categories * **Pipeline:** Open deals that are early or uncertain. They count toward coverage but not toward the forecast. * **Best case:** Deals that could close this period if things go well, but have open risks. * **Commit:** Deals the rep and manager are confident will close in the period. This is the number leadership plans around. * **Closed won:** Signed deals. Closed lost or omitted deals are excluded. --- ## How to use them Set clear entry rules for each category so two reps do not label the same deal differently. A commit deal might require a confirmed buyer, a mutual close plan, and a legal or procurement path that fits the date. ### Example Say a team has 400,000 in commit, 250,000 in best case, and a 500,000 quota. Commit alone leaves a gap, so the manager knows to pull in best-case deals or add pipeline now, not in the last week. ### Roll-ups and overrides Reps submit categories, managers adjust them, and finance rolls them up. Keep the original rep call visible so you can compare it with the final outcome later. --- ## Forecast categories vs. pipeline stages * **Stage:** Describes progress through the sales process, such as discovery, demo, or negotiation. * **Forecast category:** Describes confidence in closing within a period. A deal in negotiation can still be best case if the buyer is slow. --- ## Common mistakes * **Subjective labels:** Without written criteria, commit becomes a mood. Define evidence for each category. * **Never reviewing accuracy:** Track how often commit deals closed, by rep, and coach on the gaps. * **Sandbagging or hope-casting:** Some reps hide deals, others over-commit. Inspection of next steps and buyer activity reduces both. * **Changing categories late:** Moving deals in and out in the final days hides the real trend. Log every change. --- ## Forecast categories FAQs **What are forecast categories in sales?** Forecast categories are CRM labels, such as pipeline, best case, commit, and closed won, that show how likely each open deal is to close within a given period. Managers roll them up to build a forecast range. **What is the difference between commit and best case in a sales forecast?** Commit means the rep and manager are confident the deal will close in the period. Best case means it could close if things go well but has open risks. Commit is the number a team plans around. **How do forecast categories differ from deal stages?** A deal stage shows progress through the sales process. A forecast category shows confidence that the deal will close by a specific date. A deal in late negotiation can still be best case if timing is uncertain. **How do you make forecast categories more accurate?** Write clear entry criteria for each category, require evidence such as a confirmed buyer and close plan, review commit accuracy by rep each quarter, and log every category change so you can see where calls went wrong. Share term --- ## More related phrases * [Forecast accuracy](/glossary/forecast-accuracy.md) * [Deal stages](/glossary/deal-stages.md) * [Data visualization](/glossary/data-visualization.md) ## Similar phrases * [Commit forecast](/glossary/commit-forecast.md) A commit forecast is the revenue a rep or manager is confident enough to promise for a period, made up of deals they expect to close with very high certainty. * [Revenue forecasting](/glossary/revenue-forecasting.md) Revenue forecasting predicts how much revenue a company will earn in a future period, using pipeline, historical conversion data, and recurring revenue to guide hiring and spending decisions. * [Sales forecasting](/glossary/sales-forecasting.md) Sales forecasting estimates how much revenue a team will close in a future period, using pipeline data, history, and rep judgment so leaders can plan hiring and spending. * [Pipeline stages](/glossary/pipeline-stages.md) Pipeline stages are the defined steps a deal passes through from first qualification to closed-won or closed-lost, each with clear entry and exit criteria that keep reporting consistent. * [Weighted pipeline](/glossary/weighted-pipeline.md) Weighted pipeline adjusts the value of each open deal by its probability of closing, giving a more realistic estimate of expected revenue than the raw pipeline total.