Forecast Growth Without Guessing
A growth forecast is more credible when every new customer traces back to leads and conversion rates, churn is taken off, and the total fits what your sales team can handle. This is a bottom-up forecast: start from leads, conversion rates and price and multiply through, instead of picking a growth percentage and drawing the curve.
· Updated · 3 min read
On this page
- Multiply leads by each conversion rate and by price, then take off churn.
- A top-line curve with no drivers behind it is a guess.
- Keep the assumptions traceable so the forecast can be questioned and updated.
- Churn sets a ceiling: at 3 percent monthly churn, winning 20 new accounts a month levels off near 667.
Build growth from its drivers
Founders often use a top-line growth curve without showing where it comes from. A credible forecast works the other way around: it builds growth from the drivers that produce customers, such as lead volume and conversion, then checks it against capacity. In the example below, 100 meetings a month is about five every working day, which may be more than one salesperson can handle.
A growth chart without its assumptions
| Feature | Startup Suite | A spreadsheet |
|---|---|---|
| The curve | Built to preserve the driver logic behind the chart | Can show a chart |
| Assumptions | Traceable growth inputs | Easy to present outcomes without assumptions |
- The curve
- Built to preserve the driver logic behind the chart
- Assumptions
- Traceable growth inputs
- The curve
- Can show a chart
- Assumptions
- Easy to present outcomes without assumptions
Growth strategy versus routine updates
An advisor can tell you which channels are worth growing. Updating the forecast each month with real conversion and churn figures is your job.
Connecting growth drivers in Forecast Engine
Startup Suite's Forecast Engine is built to connect growth assumptions to their financial consequences, so a change in conversion or retention flows through to revenue and cash.
Forecast Engine: growth you can trace
- Built around lead volume and conversion rates, with churn applied after.
- Designed to show the revenue each driver produces, instead of a bare trend line.
- Designed so a change to one assumption carries through the whole forecast.
From 1,000 leads to new customers
Suppose you get 1,000 qualified leads a month, 10 percent book a meeting, and 20 percent of meetings close. New customers are 1,000 times 10 percent times 20 percent, which is 20 a month. If average revenue per account is $99 a month, new monthly recurring revenue is 20 times 99, which is $1,980.
Why this is stronger: Each input can be measured and changed. Add churn and you also see a ceiling: at 3 percent monthly churn, adding 20 a month levels off at about 667 paying accounts (20 divided by 0.03), because that is where monthly losses equal monthly wins.
Forecast growth without guessing
Frequently asked questions
What drives a credible growth forecast?
Measured inputs you can change: how many leads arrive, what share convert, what they pay and how many stay. Then check the result against how many meetings your team can actually take.
Is a hockey-stick curve ever justified?
Only if the drivers behind it are realistic and explainable, not assumed.
How often should I update it?
Monthly, once you have a full month of lead and conversion data. Replace assumed rates with actual ones as they arrive.
Still have questions? Talk to the team.
