[GTM glossary](/glossary.txt) Sales forecasting RevOps & Pipeline # Sales forecasting In short Sales forecasting is the process of predicting how much revenue a sales team will close in a given period, such as a month or quarter. It combines open pipeline, historical conversion rates, and rep or manager judgment into a number the business can plan around. A forecast is a prediction, not a target. A quota says what you want to sell; a forecast says what you expect to sell. The gap between them shows where to add pipeline or adjust plans. ## Common forecasting methods * **Stage-weighted:** Multiply each deal by a probability tied to its stage, then add them up. * **Category-based:** Reps label deals as commit, best case, or pipeline, and managers roll them up. * **Historical trend:** Project from past periods, adjusted for seasonality. * **Capacity-based:** Estimate from rep count, ramp status, and typical productivity. --- ## How to build a forecast ### 1. Clean the pipeline Remove stale deals, fix close dates, and confirm amounts. A forecast built on bad data is a guess. ### 2. Pick a method and define it Write down stage definitions and exit criteria so every rep labels deals the same way. ### 3. Add judgment Managers review the largest deals and flag risks such as no champion or no next step. ### 4. Review the gap to plan Compare the forecast with quota and decide where to add pipeline or change the plan. ### 5. Track accuracy After each period compare forecast with actual results and note why they differed. --- ## Example Say a team has two hundred thousand in deals at proposal stage and historically closes about a third of them. A stage-weighted view counts roughly sixty-six thousand from that stage. The manager then lowers it after learning two large deals lack a signing date. --- ## Common mistakes * **Hopeful close dates:** Deals pushed forward every month without new evidence. * **Vague stages:** Reps interpret stages differently, so probabilities mean little. * **Single method:** Relying on one view with no cross-check. * **Never reviewing misses:** Without a post-mortem, accuracy does not improve. --- ## Sales forecasting FAQs **What is sales forecasting?** Sales forecasting is predicting how much revenue a sales team will close in a future period. It uses open pipeline, past conversion rates, and manager judgment to give leaders a number for planning hiring, spending, and targets. **How do you forecast sales?** Clean your pipeline, define stages clearly, apply a method such as stage-weighted or category-based forecasting, add manager review of large deals, and compare the result with quota. Then check accuracy after the period ends. **What is the difference between a sales forecast and a quota?** A quota is the target a rep or team is asked to reach. A forecast is the prediction of what they will actually close. Comparing the two shows whether pipeline is sufficient to hit the target. **Why are sales forecasts often wrong?** Common causes are stale deals, optimistic close dates, vague stage definitions, and missing data. Forecasts also miss when a few large deals slip. Regular pipeline cleanup and reviewing past misses improve accuracy. Share term --- ## More related phrases * [Commit forecast](/glossary/commit-forecast.txt) * [Pipeline review](/glossary/pipeline-review.txt) * [Pipeline-to-quota ratio](/glossary/pipeline-to-quota-ratio.txt) ## Similar phrases * [Revenue forecasting](/glossary/revenue-forecasting.txt) 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. * [Forecast accuracy](/glossary/forecast-accuracy.txt) Forecast accuracy measures how closely your sales forecast matches actual results, showing how reliable your pipeline data, stage definitions, and rep judgment are for planning. * [Forecast categories](/glossary/forecast-categories.txt) Forecast categories are labels such as pipeline, best case, commit, and closed that group open deals by how likely they are to close in a period, so leaders can build a forecast. * [Weighted pipeline](/glossary/weighted-pipeline.txt) 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. * [Pipeline coverage](/glossary/pipeline-coverage.txt) Pipeline coverage is the ratio of open pipeline value to the sales target for a period, used to judge whether there are enough deals to reach quota.