CLTV Calculator - Customer Lifetime Value Model

The CLTV Calculator is built for people who need a defensible customer lifetime value estimate without opening a spreadsheet from scratch. It uses the same inputs analysts normally collect for the calculation: average order value, purchase frequency, customer lifespan, gross margin, and customer acquisition cost. Because the input labels map directly to the formula, the result is easy to audit when you are checking a model, explaining an assignment, or comparing two scenarios in a meeting. The goal is not to hide the math behind a black box; it is to make the assumptions visible so the output can be challenged and improved. The calculation mechanism is straightforward: Revenue CLTV multiplies order value by annual purchase frequency and lifespan; gross profit CLTV then applies gross margin, and LTV:CAC compares that profit value with acquisition cost. The result panel keeps the main answer beside the supporting values so you can see whether one input is driving the conclusion. That is important for customer lifetime value work because a single stale assumption can make a reasonable-looking answer misleading. A good review process is to calculate a base case, change one input at a time, and document which assumptions came from statements, quotes, contracts, tax rules, or operating data. Interpreting the answer requires context. A higher gross profit CLTV gives the business more room to spend on acquisition, retention, and service. LTV:CAC below 1.0 means acquisition cost exceeds expected gross profit under the entered assumptions. The number should be compared with prior periods, peers, policy targets, or the decision threshold that matters for the situation. For planning work, it is often more useful to run a conservative case and an optimistic case than to debate one false-precision estimate. The worked examples on this page show the arithmetic with real numbers so you can sanity-check both the formula and the direction of the result. There are also caveats. The model is intentionally simple and does not discount future cash flows, model retention curves, or include support and overhead costs. Use cohort data where possible instead of averages across unlike customer segments. The calculator does not replace professional accounting, tax, legal, lending, investment, or operational advice when those rules control the decision. It is best used as a transparent first-pass estimate for growth marketing budgets, SaaS and ecommerce cohort planning, CAC payback discussions, pricing work, and investor unit-economics reporting. If the result will support a contract, tax return, loan application, board package, or customer-facing claim, keep a copy of the source inputs and reconcile the estimate to the official document before relying on it.