Sales forecast template
A forecast is a commitment, not a wish. Categories force reps to distinguish what they will close from what they hope to.
Consistency matters more than the method; pick one and apply it the same way every week.
Short answer
A sales forecast template turns your pipeline into a trustworthy number using forecast categories (commit, best case, pipeline) or stage-weighted probabilities. Below is the template with the categories, an example roll-up, and the discipline that keeps a forecast honest.
Key takeaways
- Use categories (commit, best case, pipeline) to separate will-close from hope.
- Require a next step and a date for every deal in commit.
- Pick one method and apply it identically every week; consistency beats precision.
- Track slippage (deals moving out) as the leading forecast-accuracy signal.
Forecast categories
The category discipline.
| Category | Meaning | Typical close likelihood |
|---|---|---|
| Commit | You will close this; you would bet on it | 90%+ |
| Best case | Realistic upside if things go well | 50 to 75% |
| Pipeline | Qualified but not yet dependable | 20 to 40% |
| Omitted | In pipeline but not this period | n/a |
Example roll-up and discipline
From deals to a number.
- Sum Commit as your floor, add a realistic slice of Best case for the forecast.
- Every deal in Commit needs a next step, a date, and no open red flags.
- Review weekly: what moved in, what moved out, and why. Slippage is the metric to watch.
Generate and send this with Ardovo
You do not have to start from a blank page. Tell Rook, Ardovo's AI operator, what you need (for example, "sales forecast template") and it drafts a version grounded in your real pipeline data, personalizes it for the specific contact or deal, and can send it or attach it to the record in one step. Every template lives in one shared library, so your whole team stays on message and nothing gets rewritten from scratch.
Frequently asked questions
What are sales forecast categories?
Labels that separate deals by confidence: commit (you will close it), best case (realistic upside), and pipeline (qualified but not dependable). Categories force honest distinctions and produce a floor plus an upside number.
How do I make a sales forecast accurate?
Apply one method consistently, require a next step and date for every commit deal, and review slippage weekly. Accuracy comes from disciplined, repeatable categorization, not from a clever formula applied unevenly.
What is the difference between weighted and category forecasting?
Weighted forecasting multiplies each deal by a stage probability; category forecasting sorts deals into commit, best case, and pipeline buckets. Categories rely on rep judgment; weighting relies on historical stage conversion. Many teams use both.