You're scaling without knowing which cohorts compound
Your Metrics Live in Spreadsheets
You're manually calculating MRR from Stripe exports and pasting into Google Sheets. By the time you finish, the question 'which cohort retains best' has lost its punch. The answer the data would have given is no longer actionable.
You Can't Tell Which Cohorts Deserve More Budget
MRR keeps climbing. But you don't know which acquisition cohort retains best, which channel produces the highest-LTV customers, or which segment compounds. So you spread the budget evenly. Or guess.
Metrics That Don't Drive Decisions Are Vanity Dashboards
Point tools show MRR in a vacuum. But MRR that isn't connected to channel CAC, burn rate, and runway can't tell you where to put your next dollar. The brands that grow fastest connect the metric to the deployment decision.
Metrics should tell you what to deploy next
We've watched founders pull MRR from Stripe, retention from a spreadsheet, and CAC from a Slack thread, just to figure out which channel deserves more ad spend. By the time the answer is clear, the budget cycle has moved on. We built Futureproof so your metrics live connected to your actual financials, always current, and ready to tell you what to do next.
| Feature | Spreadsheets | Point Tools | Futureproof |
|---|---|---|---|
| MRR / ARR Tracking | Manual | ||
| Cohort Analysis | |||
| Connected to P&L | |||
| Runway & Burn Rate | Manual | ||
| Investor Reports | |||
| Bookkeeping Included |
Connect Stripe. Find what's compounding. Deploy more there.
No setup spreadsheets. No manual calculations. Plug in Stripe and your metrics are live, connected to your full financial picture. So you can move ad spend to the channel paying back fastest, before competitors do.
MRR & ARR, Always Current
Real-time MRR and ARR calculated directly from Stripe. New, expansion, contraction, and churned revenue broken out automatically. So you know exactly which revenue streams are compounding and which need attention.
Churn & Retention by Cohort
Logo churn, revenue churn, and net revenue retention calculated weekly. Spot the cohort that retains best, find the segment that expands, and double down on the customer profile that compounds.
Cohort Analysis That Drives Decisions
See how each customer cohort retains and expands over time. Find the acquisition channel that produces 110% net retention customers and pour more budget there, while pulling spend from the channels that don't.
LTV & CAC From Your Actual Data
Customer lifetime value, CAC, and LTV:CAC ratio calculated from your real numbers, not industry benchmarks. So you know which channel pays back in 6 months and which takes 18, and deploy more capital accordingly.
What you're leaving on the table
Without connected metrics, you can't tell which cohorts deserve more ad spend, which segments are quietly compounding, or which channels to pull capital from. So you spread the budget evenly. Or hold off entirely.
An investor asks about NRR by cohort. You spend three hours in Stripe and Google Sheets. The faster brand sends the answer in 30 seconds and gets the term sheet first.
Your metrics dashboard says one thing, your P&L says another. You can't explain the gap. The valuation comes in lower because the investor can't trust the story.
You miss a churn spike in your highest-LTV segment for three months. By the time you catch it, you've burned ad spend acquiring more of the wrong customers.
You raise at a lower valuation because you couldn't show the retention story your data actually supports. The cohort numbers were there. You just couldn't pull them in time.
Imagine knowing exactly which cohort to scale
An investor asks about NRR by cohort. You pull it up in 5 seconds, and the response time becomes a credibility signal.
Your metrics connect directly to your financials. The number on screen is the same one your P&L shows, every time.
You spot the highest-LTV cohort in week 2 and pour ad spend behind that acquisition channel before competitors notice.
You walk into your fundraise with metrics that tell a clear, defensible growth story. The valuation comes in higher because the data backs it.
You stop guessing at which segments compound and start deploying budget where the cohorts retain.