Customer Lifetime Value (LTV) Calculator
Customer lifetime value (LTV, sometimes CLV) is the total profit you can expect from a customer across their entire relationship with you. Enter your average revenue per customer, your gross margin and your monthly churn rate, and this free calculator estimates each customer’s lifetime value, how long they stay, and — if you add your acquisition cost — the LTV:CAC ratio that tells you whether your growth is healthy.
What is customer lifetime value?
Customer lifetime value is the total profit a customer generates over the whole time they stay with your business — not just their first purchase. It reframes a customer from a one-off transaction into a long-term asset, which changes almost every decision about how much you can spend to acquire and keep them.
LTV is the number that justifies marketing budgets, sets the ceiling on acquisition cost, and reveals whether a business compounds or leaks. A company with high LTV can afford to outspend competitors to win customers, because it knows each one pays back many times over.
The LTV formula
This calculator uses the standard margin-and-churn model:
Average lifespan (months) = 100 ÷ monthly churn rate (%)
LTV = monthly revenue × gross margin × average lifespan
The logic: if 5% of customers leave each month, the average customer stays 1 ÷ 0.05 = 20 months. Over those months they generate revenue, of which you keep the gross-margin share. Multiply the three together and you have the lifetime profit per customer. Using margin rather than raw revenue is important — LTV should reflect money you actually keep, not top-line sales.
A worked example
A subscription business charges $80/month, runs an 80% gross margin, and loses 5% of customers each month. Acquiring a customer costs $200.
- Average lifespan: 100 ÷ 5 = 20 months
- LTV: $80 × 80% × 20 = $1,280
- LTV:CAC: $1,280 ÷ $200 = 6.4:1
A 6.4:1 ratio is strong — each customer returns more than six times what it costs to acquire them, leaving plenty of room to invest in growth.
Why churn dominates LTV
Churn is the most powerful input by far, because it sets the lifespan that multiplies everything else. Halving churn doubles the average lifespan, which doubles LTV — a far bigger effect than a comparable change to price or margin. Dropping monthly churn from 5% to 2.5% in the example above stretches lifespan from 20 to 40 months and lifts LTV from $1,280 to $2,560. This is why retention is often the highest-return work a business can do: small improvements in keeping customers compound into large gains in their lifetime value.
LTV:CAC — the health ratio of growth
LTV only means something next to what it costs to acquire a customer. The LTV:CAC ratio divides lifetime value by acquisition cost, and the widely used benchmark is 3:1 or higher — each customer should be worth at least three times what they cost to win. Below 1:1 you lose money on every customer and the model is broken. But a very high ratio (8:1 or more) is not automatically good news: it often means you are under-investing in acquisition and could profitably spend more to grow faster. The ratio is a steering wheel, not just a scorecard.
How to increase customer lifetime value
There are four reliable levers. Reduce churn — the highest-leverage move, since it lengthens every customer’s lifespan. Raise revenue per customer through upsells, cross-sells and price increases. Improve gross margin by lowering the cost to serve each customer. And shorten time-to-value so customers reach their "aha" moment before they have a chance to leave. Fast, responsive support and proactive onboarding move several of these at once — which is exactly where always-on AI agents help, by giving every customer instant answers and follow-up that would be uneconomical to staff by hand.
Limitations to keep in mind
This model assumes a roughly constant churn rate and stable revenue, which works well for subscription and repeat-purchase businesses but less so where buying is sporadic or one-off. It also uses gross margin, not fully-loaded profit, so it overstates the truly net value if your cost-to-serve is high. Treat the result as a well-grounded estimate for decision-making — comparing segments, setting CAC ceilings, justifying retention spend — rather than an exact accounting figure. For most growth decisions, a good LTV estimate beats no estimate by a wide margin.
When to use an LTV calculator
Use it before setting a marketing budget, evaluating a new channel, or deciding how much to invest in retention and support. LTV tells you the most you can afford to pay for a customer and still profit, which turns acquisition from guesswork into arithmetic. It is also invaluable for comparing customer segments — discovering that one type of customer is worth three times another often reshapes targeting, pricing and product priorities entirely.
Frequently asked questions
Is the LTV calculator free?
Yes, free and with no sign-up. The calculation runs in your browser and nothing you enter is stored or sent anywhere.
How is customer lifetime value calculated?
Multiply the average monthly revenue per customer by your gross margin and by the average customer lifespan. Lifespan is estimated as 100 divided by your monthly churn rate.
Why does LTV use gross margin instead of revenue?
Because lifetime value should reflect the profit you keep, not top-line sales. Using margin gives a realistic figure for how much a customer is actually worth after the cost of serving them.
How does churn affect LTV?
Churn determines how long customers stay, and lifespan multiplies everything else in the formula. Halving churn doubles the average lifespan and therefore doubles LTV, making retention the most powerful lever on lifetime value.
What is a good LTV:CAC ratio?
A ratio of 3:1 or higher is the common benchmark — customers should be worth at least three times their acquisition cost. Below 1:1 you lose money per customer; a very high ratio can signal you are under-investing in growth.
How do I find my monthly churn rate?
Divide the number of customers lost in a month by the number you had at the start of that month, then multiply by 100. If you lost 50 of 1,000 customers, your monthly churn is 5%.
Does this work for non-subscription businesses?
It works best for subscription and repeat-purchase models with a steady churn rate. For sporadic or one-off purchases it is less precise, but it can still give a useful rough estimate using average purchase frequency in place of churn.
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