Glossary
What is sales forecasting?
Sales forecasting is estimating how much revenue a team will close in a coming period, usually a month or a quarter. Common methods weight open deals by stage, use historical win rates, or combine a seller's judgment with the data. A forecast is only as good as the pipeline behind it.
Published by Sellinger AI. Numbers and settings checked on 24 October 2026 against the fact register. Report an error.
What are the common methods?
| Method | How it works | Weakness |
|---|---|---|
| Weighted pipeline | Each deal's value times a probability for its stage | Probabilities are often guesses |
| Historical win rate | Pipeline value times your past win rate | Assumes the future looks like the past |
| Commit and best case | Sellers say which deals they commit to | Depends on honesty and experience |
| Combined | Data plus a manager's judgment | Takes discipline every week |
What does a weighted forecast look like?
An example with made up numbers: three deals in the proposal stage worth 30,000 in total, weighted at 50%, give 15,000; five deals in discovery worth 50,000, weighted at 10%, give 5,000. The weighted forecast is 20,000. Compare it with last quarter's actual result before you trust it.
Why do forecasts go wrong?
- Old deals nobody closed out.
- Close dates pushed to the end of the period by default.
- Deal values guessed early and never updated.
- Optimism about deals with a single contact.
How Sellinger handles it
Sellinger does not forecast revenue. Sellinger has a built in CRM with contacts, deals and the full conversation history across channels, and a two way sync with HubSpot, so deals and conversations can sit in HubSpot where your forecast lives. See pipeline coverage and win rate.
Common questions
How accurate should a sales forecast be?
What is a commit forecast?
Does outbound affect forecasting?
Sources and method
General sales practice; the example is illustrative. Sellinger behaviour from the fact register, checked 24 October 2026.
Related: Pipeline coverage, Win rate, Sales pipeline, Sales velocity.
