For SaaS founders.
Model recurring revenue with confidence.
MRR, ARR, churn, CAC, LTV, and payback, a subscription model that ties every metric back to an assumption you can edit and explain.
Startup Suite is an AI planning workspace that helps SaaS founders build a driver-based subscription model, stress-test churn, and produce investor-ready ARR outputs they can defend.
This page is forSaaS and subscription founders modelling MRR, ARR, retention, and a raise.
- New & expansion MRR
- Seat / usage pricing
- Net revenue retention (NRR)
- CAC by channel
- Cost to serve & infrastructure
- Sales & success headcount
- ARR waterfall
- CAC-payback & cohort model
- Investor-ready funding pack
- Scenario Workbench
- Forecast Engine
- AI mentors
You shouldn't need a finance team to answer this
The everyday questions this module makes simple.
SaaS metrics live in five places
MRR in billing, CAC in a sheet, churn in the BI tool, and none of them agree.
Churn quietly eats your runway
A small retention miss compounds, and you find out a quarter too late.
You can't defend CAC and LTV
An investor asks how you got the number, and the honest answer is 'a spreadsheet'.
Explore a sample SaaS planning workspace
See how editable assumptions flow into MRR, ARR, churn, and runway, and how a scenario exposes the trade-off before you commit.
Build MRR and ARR from real drivers, new, expansion, and churn, then stress-test retention and pricing into a runway and an investor pack you can defend.
- Assumptions
- Model
- Scenarios
- Mentor Review
- Outputs
AI mentorSteady growth on current pricing and retention, MRR compounds and runway holds.
Not a dashboard, a model that connects end to end.
Editable assumptions change the model, scenarios expose the trade-offs, an AI mentor explains the risk, and the result is an output you can defend. Example view · illustrative.
Edit monthly churn from 3% to 6%
Editable assumption
ARR, NRR, and runway recompute instantly
KPI impact
Compare base, bull, and bear-churn side by side
Base / upside / downside
Flags the month runway breaks and what to fix
AI risk insight
Investor-ready funding pack you can defend
What you can defend
Illustrative, capabilities and typical targets, not guaranteed outcomes.
The board wants the SaaS metrics
Model recurring revenue with confidence.
Monday's board meeting needs MRR, NRR, CAC payback, and a churn-stressed runway, and right now they live in four tools that disagree. Startup Suite builds them from one model, so the numbers reconcile and you can explain every one.
- MRR/ARR built from real drivers
- CAC payback and NRR per cohort
- Churn stress-tested against runway
Decisions you can make this week
Practical calls this module helps you get right, no finance background needed.
The capabilities that earn the work.
Subscription engine
Build MRR and ARR from new, expansion, contraction, and churn, not a flat growth rate.
Retention & churn
Model logo and revenue churn by cohort, and watch what it does to runway.
CAC, LTV & payback
See CAC payback per channel and cohort, with LTV that reconciles to real retention.
Expansion & pricing
Test price changes, seat expansion, and net revenue retention side by side.
From signal to decision.
- 1
Connect billing & CRM
Pull subscriptions and pipeline from Stripe and your CRM.
- 2
Set the drivers
New logos, expansion, churn, and price, in plain language.
- 3
Stress-test churn
Compare base, best, and worst retention against your runway.
- 4
Show the payback
Walk into the raise with CAC payback and NRR you can defend.
More than a spreadsheet, more than a consultant
| Feature | Spreadsheetthe old way | Consultant$10k+ / model | Startup Suiteconnected workspace |
|---|---|---|---|
| Driver-based MRR/ARR (not a flat growth rate) | |||
| Edit an assumption, model updates live | Manual | ||
| Scenario compare (base / bull / bear-churn) | Tabs | On request | |
| AI mentor explains the risk | Hourly | ||
| Investor-ready funding pack output |
- Driver-based MRR/ARR (not a flat growth rate)
- Edit an assumption, model updates live
- Manual
- Scenario compare (base / bull / bear-churn)
- Tabs
- AI mentor explains the risk
- Investor-ready funding pack output
- Driver-based MRR/ARR (not a flat growth rate)
- Edit an assumption, model updates live
- Scenario compare (base / bull / bear-churn)
- On request
- AI mentor explains the risk
- Hourly
- Investor-ready funding pack output
- Driver-based MRR/ARR (not a flat growth rate)
- Edit an assumption, model updates live
- Scenario compare (base / bull / bear-churn)
- AI mentor explains the risk
- Investor-ready funding pack output
Built for your specific model.
B2B SaaS
Seat-based pricing, sales-assisted motion, and expansion revenue, model NRR and CAC payback by cohort.
Output · ARR waterfall + board pack
Product-led / self-serve
Free-to-paid conversion, activation, and viral loops, model the funnel from signup to paid.
Output · PLG conversion model
Usage-based
Consumption pricing and credits, model revenue from usage curves, not just seats.
Output · Usage revenue model
Vertical SaaS
Niche markets with payments or services attached, model blended take and software revenue together.
Output · Blended revenue model
Questions founders ask
Do you model MRR, ARR, and NRR?+
Yes, recurring revenue is built from new, expansion, contraction, and churn, so MRR/ARR and net revenue retention come straight from your drivers.
Can I connect Stripe and my CRM?+
Yes. Subscriptions, payouts, and pipeline sync in, so your model reconciles to the systems of record.
What is a SaaS financial model?+
A SaaS financial model projects recurring revenue (MRR/ARR) from drivers like new logos, expansion, and churn, then ties CAC, LTV, payback, and runway to those same assumptions so the numbers stay consistent.
Is this just a spreadsheet template?+
No. Editing an assumption updates the whole model live, scenarios compare side by side, and an AI mentor explains the risk, then it produces an investor-ready pack, not a static sheet.
Can it create an investor pack from my model?+
Yes, the model rolls into an investor-ready funding pack with the ARR waterfall, CAC payback, and runway, all traceable back to your assumptions.
Adjacent capabilities.
Make this the last spreadsheet you build
Build your plan, connect your data, and see this working on your own numbers, no finance team required.
From idea to investor-ready · built for founders, not finance teams