The standard SaaS formula: average revenue per account times gross margin, divided by monthly churn. Three inputs, one honest number.
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If 3% of your customers leave each month, the average customer stays about 1 divided by 0.03, or roughly 33 months. Multiply that lifetime by what an average customer pays per month, and you have their lifetime value. Every version of the LTV formula is that idea with more or less refinement bolted on.
ARPA is your recurring revenue divided by your paying customers, so it inherits whatever you decided about MRR. Gross margin converts revenue into the value you actually keep, which matters the moment you compare against what you spent to acquire the customer. Churn is the input that dominates the result, because it sits in the denominator: halve it and lifetime value doubles.
The assumption hiding inside is that today's churn holds for the whole of that projected lifetime. It will not. Treat LTV as a comparison tool, sharp for ranking segments and tracking your own trend, and blunt as an absolute claim about how much a customer is worth.
Two conventions travel under the same name. The revenue form, ARPA divided by churn, estimates the revenue a customer produces. The margin form multiplies by gross margin first and estimates the profit. On an 80% margin the two differ by a fifth, so quoting one where the other belongs quietly moves the answer.
This calculator uses the margin form, which is the one you want when comparing against acquisition cost. Set gross margin to 100% and it gives you the revenue form instead.
Kometrics itself reports the revenue form in the app, because it reads your billing data and has no way of knowing your cost of goods. So the LTV on your dashboard will sit above the number this page gives you at any margin under 100%, and that is the two conventions differing, not a disagreement. There is a second, smaller difference: the product divides by the average customer churn of the six preceding months rather than a single rate you type in, which keeps one quiet month from inflating the whole series.
LTV on its own says nothing about whether growth is working. Paired with customer acquisition cost it says almost everything. The common rule of thumb is that lifetime value should be at least three times what you spent to acquire the customer, using the margin form on the LTV side and a fully loaded figure on the CAC side, sales and marketing included.
Below that, you are buying revenue at a price that leaves little behind. Far above it, the usual reading is not that the business is exceptional but that it is underspending: a ratio of 8 to 1 often means there is profitable acquisition on the table you are not buying.
Payback period is the companion number, and it is the one that constrains cash. Lifetime value spread over 33 months does not help you make payroll in month four, which is why a healthy ratio and a punishing payback period can coexist in the same business.
Gross margin, whenever the number will be compared against acquisition cost. A customer paying $100 a month at 80% margin is worth $80 a month of value, and a revenue-based LTV flatters the comparison by exactly the margin you left out. Revenue LTV is still useful for tracking a trend or ranking segments, as long as you are consistent about which one you are quoting.
Two reasons, both expected. Kometrics reports the revenue form, ARPA divided by churn with no margin applied, because it reads billing data and cannot know your cost of goods, so its figure is higher than a margin-adjusted one. It also divides by the average customer churn rate of the six preceding months rather than a single rate you type in. Set gross margin to 100% here and feed in that same trailing average, and the two line up.
Monthly customer churn, averaged over several months rather than taken from the most recent one. LTV divides by this number, so a single quiet month sends lifetime value through the roof and a single bad one guts it. If your customers vary a lot in size, run it separately by segment: a blended churn rate across self-serve and enterprise produces an LTV that describes neither.
Three to one is the widely used rule of thumb, with the margin form of LTV against a fully loaded acquisition cost. Treat it as a sanity check rather than a target to optimize: a very high ratio usually signals underinvestment in acquisition rather than an unusually good business.
Long enough to have a stable churn rate, which for most companies means at least six months of history and ideally a year. Before that the denominator swings too much for the result to mean anything, which is exactly why the derived formula exists: waiting to observe real lifetimes would mean waiting years.
Kometrics computes this and every other SaaS metric from your real billing data, continuously. Free under $1,000 MRR.
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