The Methods Compared
| Method | How it works | Best for | Weakness |
|---|---|---|---|
| Driver-based | Traffic x conversion x price | Self-serve SaaS, ecommerce | Needs reliable funnel data |
| Weighted pipeline | Deal value x stage probability | Sales-led B2B | Only as good as CRM hygiene |
| Cohort-based | Existing customers by start month, with retention and expansion | Subscription businesses | Needs 6 to 12 months of history |
| Run-rate / trend | Extend recent growth | Very short horizons | Ignores changes in the business |
| Top-down | Market size x share | Sense checks only | Not tied to what you control |
Combine Two, Then Reconcile
Forecast existing revenue with cohorts and new revenue with pipeline or drivers. Where two methods disagree, the gap points to the assumption you need to test. Review forecast versus actual monthly in your financial model.
Link Revenue to Cash
Revenue is not cash. Annual prepayments, payment terms and failed collections change when money arrives. Feed the revenue forecast into a 13-week cash flow forecast and your runway calculation.
Bottom Line
Choose the method that reflects how customers actually buy, and measure accuracy every month. Our FP&A team builds and runs these forecasts for founder-led companies, and our fractional CFOs turn them into board-ready plans.
Want to see how this works in practice? Explore our outsourced accounting, see the industries we support, and read how an engagement with Finative works, from first call to monthly reporting.
Frequently Asked Questions
What are the main revenue forecasting methods?
Driver-based forecasting, weighted pipeline forecasting, cohort-based forecasting, run-rate or trend forecasting, and top-down market share forecasting.
Which revenue forecasting method is best for a startup?
The best method matches the sales motion. Sales-led B2B companies rely on weighted pipeline, subscription businesses use cohorts for existing revenue, and self-serve or ecommerce businesses use traffic and conversion drivers.
How accurate should a startup revenue forecast be?
Accuracy improves with history. Track forecast versus actual each month and adjust the drivers that miss; the trend in accuracy matters more than any single month.