Worked examples, in Forecasting
Sales Forecast Examples: 4 Worked SaaS Revenue Forecasts
Each example below starts from four assumptions, runs them through the sales forecast calculator and changes one input at a time, so you can see which lever moves a 12-month SaaS revenue forecast most. The forecast adds the MRR from won deals each month and grows the whole base by the monthly growth rate. Churn is not modelled, so the results are gross new revenue.
4 examples. Published Mar 12, 2026. Updated Oct 19, 2026. By AI Biz Hub.
Worked examples
See the inputs and outcome together
Each scenario keeps the starting point, the outcome, and the actual lesson in one place so the page reads like a decision notebook, not a data dump.
- 1
Baseline case
Project 12 months from $80,000 MRR growing 5% monthly, with 22% pipeline conversion on $1,200 deals.
Projected MRR reaches $311,753 by month 12, with $2,332,421 in cumulative forecast revenue. Pipeline adds about $10,560 of new MRR each month.
Starting Mrr
$80,000
Monthly Growth Percent
5%
Pipeline Conversion Percent
22%
Avg Deal Size
$1,200
Nearly quadrupling MRR in a year takes both engines: won deals added $126,720 of MRR and 5% monthly growth $105,033, so the pipeline did slightly more than compounding.
- 2
Higher starting MRR
Begin from a larger $92,000 base, holding growth, conversion, and deal size steady.
Projected MRR rises to $333,304 and cumulative revenue to $2,532,976, while monthly pipeline contribution stays $10,560.
Starting Mrr
$92,000
Monthly Growth Percent
5%
Pipeline Conversion Percent
22%
Avg Deal Size
$1,200
A 15% bigger starting base lifted year-end MRR by only about 7%, because the $12,000 head start compounds to about $21,550 while the pipeline contribution stays the same.
- 3
Slower growth rate
Trim the monthly growth rate to 4.25%, with the base, conversion, and deal size unchanged.
Projected MRR falls to $292,794 and cumulative revenue to $2,238,054, a $94,000 drop in total revenue from a three-quarter-point growth cut.
Starting Mrr
$80,000
Monthly Growth Percent
4.25%
Pipeline Conversion Percent
22%
Avg Deal Size
$1,200
Less than one point off the monthly growth rate erased about $94,000 of forecast revenue. Compounding cuts both ways, so small growth differences widen over twelve months.
- 4
Stronger pipeline conversion
Improve pipeline conversion to 29.7%, holding the base, growth, and deal size at baseline.
Monthly pipeline contribution rises to $14,256 and projected MRR to $370,583, the highest here, with $2,680,804 in cumulative revenue.
Starting Mrr
$80,000
Monthly Growth Percent
5%
Pipeline Conversion Percent
29.7%
Avg Deal Size
$1,200
Better conversion fed more MRR into the engine every month, and compounding multiplied it. Sales-efficiency gains pay off twice: directly, and through the growth they then compound on.
Patterns
How these sales forecasts are built
The calculator works month by month. Won deals add new MRR (opportunities x conversion rate x new MRR per deal), and the whole base then grows by the organic monthly growth rate. In the baseline, 40 opportunities at 22% conversion close 8.8 deals a month worth $10,560 of new MRR.
Next month's MRR = this month's MRR x (1 + growth rate) + new MRR from won deals. Cumulative revenue adds up the MRR of each month in the forecast. Because churn is left out, subtract expected cancellations before using the result as a budget.
Sales forecast example, month by month
The baseline example as a monthly table: $80,000 starting MRR, 5% monthly growth, 40 opportunities a month, 22% conversion and $1,200 of new MRR per won deal.
| Month | MRR at month end | Cumulative revenue |
|---|---|---|
| 1 | $94,560 | $94,560 |
| 2 | $109,848 | $204,408 |
| 3 | $125,900 | $330,308 |
| 4 | $142,755 | $473,064 |
| 5 | $160,453 | $633,517 |
| 6 | $179,036 | $812,553 |
| 7 | $198,548 | $1,011,101 |
| 8 | $219,035 | $1,230,136 |
| 9 | $240,547 | $1,470,682 |
| 10 | $263,134 | $1,733,816 |
| 11 | $286,851 | $2,020,667 |
| 12 | $311,753 | $2,332,421 |
Common sales forecasting mistakes
- Forecasting gross revenue as net. This model has no churn. If 3% of MRR cancels each month, the real curve is much flatter, so pair it with the churn retention calculator.
- Entering annual contract value as deal size. The deal-size input is new monthly recurring revenue per won deal; a $14,400 annual contract is $1,200 of MRR.
- Assuming the growth rate holds for a year. Five percent monthly growth nearly quadruples MRR in 12 months; check the rate against your last six months before trusting it.
- Counting the same growth twice. If your historical growth rate already includes new deals, do not add the pipeline on top; set one of them to zero.
- Using one scenario. Run a base, a downside and an upside case; example three shows how fast a small change in growth moves the total.
Run the numbers next
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Questions people ask next
What is a sales forecast example?
A sales forecast example is a worked projection of future revenue from a set of assumptions like starting MRR, monthly growth rate, pipeline conversion, and average deal size. The four examples on this page each start from those inputs and project 12 months of MRR and cumulative revenue, then show how changing one assumption shifts the result.
How much revenue does the baseline sales forecast example project?
Starting from $80,000 MRR growing 5% monthly with 22% pipeline conversion on $1,200 deals, the baseline example projects MRR reaching $311,753 by month 12 and about $2,332,421 in cumulative forecast revenue, with the pipeline adding roughly $10,560 of new MRR each month.
Does a higher starting MRR or a higher growth rate matter more in a sales forecast?
Both compound, but the examples show growth rate has the larger impact. Raising the starting base 15% (from $80,000 to $92,000) lifted year-end MRR about 7% to $333,304, while cutting growth just three-quarters of a point (5% to 4.25%) erased nearly $100,000 of cumulative revenue, dropping it to $2,238,054.
How does improving pipeline conversion change the forecast?
Better conversion feeds more MRR into the engine every month, and compounding multiplies it. In example four, lifting conversion from 22% to 29.7% raised monthly pipeline contribution to $14,256 and projected MRR to $370,583, the highest of the four cases, with $2,680,804 in cumulative revenue.
How accurate are sales forecasts like these?
These are planning projections, not guarantees. The model leaves out churn, seasonality and sales-cycle delays, so treat each result as an upper bound for gross new revenue. Because small growth and conversion differences compound over twelve months, compare a base, a downside and an upside case rather than trusting a single number.
Sources
- The Ultimate Guide to Sales Forecasting , HubSpot Blog
- How to Make Your Sales Forecasts More Accurate , Harvard Business Review