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TG3 SaaS/Tools/MRR forecast
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MRR forecast tool. Where is your recurring revenue headed?

A free MRR forecast tool that projects your monthly recurring revenue twelve months out from your current MRR, new MRR added each month and churn. A simple model to sanity-check your growth plan.

The calculator

MRR forecast calculator, live.

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MRR in 12 months
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This calculator runs entirely in your browser. Nothing you enter is sent anywhere or stored. It is a quick estimate, not financial advice.

Why it matters

Reading your mrr forecast right.

A simple MRR forecast is one of the most useful sanity checks in SaaS planning. It shows how new bookings and churn compound against each other over a year, which is rarely intuitive. This tool runs a month-by-month projection: each month it loses a slice of MRR to churn and adds your new bookings, then compounds the result twelve times to a year-out figure.

The lesson the model teaches every time is how heavily churn drags on growth. A SaaS adding strong new MRR can still grow slowly if churn is quietly eating the base each month. Run the forecast with your real churn, then halve the churn and watch the twelve-month number jump. That gap is the prize sitting in your retention work.

How to use it

How the mrr forecast works.

01

Enter current MRR

Use your monthly recurring revenue today as the starting point for the projection.

02

Estimate monthly new MRR

Use a realistic figure for net new bookings each month, based on your recent run rate, not your best month.

03

Set honest churn

Use your real monthly revenue churn. Optimistic churn produces an optimistic forecast that misleads your planning.

Each month: MRR = (previous MRR x (1 - churn)) + new MRR, compounded 12 times
Current MRR: monthly recurring revenue today.
New MRR added monthly: net new bookings each month.
Monthly revenue churn: the share of MRR lost each month. The model runs this forward twelve times.
Common questions

What people ask about the MRR forecast tool.

What is an MRR forecast tool?+

An MRR forecast tool projects your monthly recurring revenue into the future based on your current MRR, the new MRR you add each month and your monthly churn rate. It runs a simple month-by-month model, subtracting churn and adding new bookings, then compounding the result forward. It is a quick way to sanity-check a growth plan and to see how new bookings and churn interact over a year, which is rarely obvious from the individual numbers.

How do you forecast MRR for SaaS?+

Start with current MRR, then for each future month subtract the MRR lost to churn and add the new MRR you expect to book. Compounding this forward month by month gives a projection that captures how churn erodes the base while new bookings build it. The simplest version uses a constant churn rate and a constant new-MRR figure, while more sophisticated models vary both over time and separate new business from expansion.

Why does churn matter so much in an MRR forecast?+

Because churn compounds against your base every month, quietly working against your new bookings. A SaaS adding healthy new MRR can still grow slowly if churn is eating the existing base, since the two forces pull in opposite directions. In a twelve-month forecast, halving the churn rate can lift the year-out MRR substantially, which is why retention often does more for growth than adding new acquisition.

Should MRR forecasts include expansion revenue?+

A thorough forecast separates new business MRR, expansion MRR from existing customers and churned MRR, because they behave differently and have different costs. A simple model folds expansion into the net new MRR figure. For planning, the more you can separate these streams the better, since expansion is usually cheaper to generate than new business and net revenue retention above 100% means the existing base grows even before new sales.

How accurate are MRR forecasts?+

A simple MRR forecast is directional, not precise, because it assumes constant churn and bookings that real businesses rarely deliver. Its value is in showing the shape of growth and the sensitivity to churn, not in predicting an exact figure. Treat it as a planning sanity check and a tool for testing scenarios, such as what happens if churn rises or new bookings dip, rather than as a commitment. Update it as real numbers come in.

Numbers telling you something is off?

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