Plug in your CAC, monthly ARPU, gross margin, and churn to see whether each customer makes you money or costs you money. Best run once you have 10+ paying customers and a real churn number — before you pour another dollar into paid acquisition. The ratio is the SaaS investor's first diligence question; this is the answer.
Your numbers
Total acquisition spend / customers acquired. Include salaries, not just ad spend.
Average revenue per user per month. Subscription + usage.
ARPU minus COGS, as a %. SaaS averages 70-85%; AI-heavy SaaS often lower.
% of customers lost per month. 5%/mo is high; 1-2%/mo is good for SaaS.
The verdict
LTV $800 on $200 CAC
Healthy. The unit economics scale. Spend more on CAC — you have margin to grow.
How this is calculated
LTV = (monthly_ARPU × gross_margin / 100) / (monthly_churn / 100).
Ratio = LTV / CAC.
CAC payback = CAC / (monthly_ARPU × gross_margin / 100). The months it takes a customer to pay back the cost of acquiring them.
This is the SaaS LTV formula from David Skok's 2008 essay "Startup Killer: the Cost of Customer Acquisition." The 3× LTV/CAC benchmark and 12-month payback target are standard across modern SaaS — Bessemer's State of the Cloud reports use the same thresholds.
What this doesn't tell you
- Whether buyers want the product. A 5× ratio with 100 customers means nothing if there's no demand at scale. Unit economics work at one stage and break at another.
- Why your CAC is what it is. The ratio doesn't pull apart channel mix. $200 blended CAC can hide a $40 organic channel and a $1,200 paid channel — and you should be killing the paid one.
- Whether your churn is the right shape. 5% monthly churn evenly distributed is different from 30% in month 1 and 0% after. The fix is different in each case (onboarding vs value vs saturation).
Use this with
The Lean Startup
Eric Ries's Lean Startup, stripped of consultant fluff. Validated learning, Build-Measure-Learn, MVP, pivot or persevere. What it means and where it gets misapplied.
Pricing Validation
Most founders pick a price by looking at competitors and shaving 20%. That's not pricing strategy, it's matching. Real pricing validation produces a price you can defend against your own ego and your buyer's pushback.
How do you find product-market fit?
Use Rahul Vohra's Superhuman PMF Engine. (1) Survey active users with the Sean Ellis question 'how would you feel if you could no longer use this?'. (2) Segment respondents by 'very disappointed' / 'somewhat disappointed' / 'not disappointed'. (3) Profile your fans (the very disappointed) to find your real ICP. (4) Build a roadmap that's half doubling-down on what fans love and half closing the on-the-fence blockers. (5) Re-run quarterly. The score should rise.
Frequently asked questions
Is LTV / CAC ≥ 3 really the rule?
Why monthly ARPU and monthly churn, not annual?
What do I do if my ratio is below 1?
Does this account for gross margin?
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