Orbit web apps
Orbit web apps
Customer lifetime value, LTV-to-CAC ratio, and payback period for subscription and recurring-revenue businesses — with a churn-sensitivity table that shows the exact economic impact of a 1pp retention improvement.
Average revenue per user per month. For annual plans, divide annual price by 12.
Revenue minus COGS, as a % of revenue. SaaS typically 70–90%. Marketplace typically 20–40%.
Share of customers lost per month. 3% monthly ≈ 31% annual. 2% is healthy SaaS; 5%+ is concerning.
Fully-loaded CAC: paid media + sales salaries + tools, divided by new customers won. Use your blended figure.
Formulas: LTV = (ARPU × GM) / churn · Payback = CAC / (ARPU × GM)
LTV
$1,388
Contribution margin over a customer's full lifetime
LTV : CAC
7.7×
strongOperator benchmark: ≥ 3× is healthy
Payback period
4.3
months · Under 6 months — fastMonths of contribution margin to recoup CAC of $180.00
Operator read
LTV:CAC of 7.7× with 4.3-month payback. Strong economics. Potentially under-investing in acquisition — if growth isn't fast enough, consider reallocating marginal dollars from retention to acquisition to capture the unit-economics headroom.
Churn sensitivity — what lifecycle buys you
| Scenario | Monthly churn | LTV | LTV:CAC | vs. current |
|---|---|---|---|---|
| Churn −0.5pp | 2.5% | $1,666 | 9.3× | +$277.67 |
| Churn −1.0pp | 2.0% | $2,083 | 11.6× | +$694.17 |
| Churn −1.5pp | 1.5% | $2,777 | 15.4× | +$1,388 |
| Churn −2.0pp | 1.0% | $4,165 | 23.1× | +$2,777 |
| Current | 3.0% | $1,388 | 7.7× | — |
Every row holds CAC, ARPU, and gross margin fixed — only churn moves. This is the exact knob lifecycle programs turn: every percentage point of monthly churn you remove compounds into a permanent LTV lift.
Monthly CRM economics data drop
What the typical LTV:CAC ratio looks like across the operators using Orbit, which lifecycle programs move payback fastest, and where 3-month cohorts land vs 12-month. Anonymous aggregate data.
Go deeper
The long-form guides that explain the thinking behind the tool. Written for operators who want to know not just what to do, but why.
strategy · 10 min read
Retention economics: proving lifecycle ROI to finance
Lifecycle programs get deprioritised when they can't defend their impact in dollars. The four models that keep the budget — LTV, payback, cohort retention, incrementality — and the four-slide pattern that wins a CFO room.
experimentation · 9 min read
Churn cohort analysis: the one chart that tells you if retention is actually improving
A cohort retention curve is the single most useful analytical artifact in lifecycle marketing. It isolates real program impact from the compounding noise that every other metric hides, and it's the one view that survives every limitation of the simpler numbers. Here's how to build one and how to read it without kidding yourself.
experimentation · 10 min read
Attribution models for lifecycle: which one to defend in which room
Attribution debates are half epistemology, half politics. Last-touch is wrong but defensible. Multi-touch is more accurate but less defensible. Incrementality is the only one that answers the causal question — and it's the slowest. Here's which model to use for which question, and why.
programs · 9 min read
Trial-to-paid: the seven-email sequence that converts 20%+ of free users
Trial conversion is the most financially leveraged flow in SaaS — every percentage point compounds directly against CAC. Here's the seven-email sequence that reliably moves trial conversion from 5% to 20%+.
A free, margin-adjusted customer-lifetime-value calculator with LTV:CAC ratio, payback period in months, and a churn-sensitivity table that shows the exact economic impact of a 1–2pp monthly-churn reduction — the lever lifecycle programs exist to pull. Formulas use the standard subscription/recurring-revenue model: LTV = (ARPU × gross margin) / monthly churn; payback = CAC / (ARPU × gross margin). Pure client-side — no API calls, no data leaving your browser.
CRM and lifecycle leads defending the work, growth leaders scoping investment, consultants building the ROI case for a retention program, finance partners who want a quick sanity-check on unit economics.
Using Claude?
Inside Orbit for Claude, the Retention Economics skill ingests your actual cohort data from Braze (or any ESP), builds the cohort-LTV curve rather than assuming constant churn, and re-runs the model every month. When churn drifts, Claude flags it and shows the LTV impact before you've noticed on the dashboard. Free for everyone — the Claude extension is the power-user upgrade, not a gated feature.