Glossary

What Is LTV? Customer Lifetime Value, Explained

LTV is the value a customer generates across their whole relationship with your brand. The formula, margin-adjusted vs revenue LTV, cohort measurement, and the LTV:CAC ratio.

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LTV (customer lifetime value) is the total value a customer generates across their entire relationship with your business — in its most useful form, the contribution margin they produce rather than the revenue they book. The working formula is AOV × orders per year × years retained × contribution margin: an $80 basket bought 2.5 times a year for two years at 55% margin makes that customer worth $220. Everything you can afford to spend on acquisition flows from this one estimate.

How do you calculate LTV?

The standard decomposition:

LTV = AOV × orders per year × years retained × contribution margin

Each factor is worth estimating separately because each has its own lever. Average order value comes from your order history. Purchase frequency and retention years come from repeat-purchase data. Margin comes from your cost sheet. Multiply them and try the result against your own numbers:

Try it — LTVLTV = AOV × orders per year × years retained × gross margin
$280.5margin-adjusted lifetime value — compare it to your CAC

Worked example, round numbers: a skincare brand with an $80 AOV sees customers order 2.5 times a year and stay active for two years, at 55% contribution margin. Revenue over the lifetime is $80 × 2.5 × 2 = $400; margin-adjusted LTV is $400 × 0.55 = $220. That $220 is the budget for everything: acquisition, service costs, and the profit you intend to keep.

One honest caveat baked into the formula: "years retained" is the softest input. New brands have no retention history, so they borrow assumptions — which is fine for a first estimate and dangerous as a permanent habit. The fix is cohort measurement, covered below.

Should you measure LTV on revenue or margin?

Margin, every time the number feeds a decision. Revenue LTV answers a trivia question; margin-adjusted LTV answers the operating question of what you can spend. The gap between them is your entire cost structure, and it compounds through every downstream ratio:

One store, two LTV definitions
MeasureMathLTVMax CAC at 3:1
Revenue LTV$80 AOV × 2.5 orders/yr × 2 years$400$133
Margin-adjusted LTV$400 × 55% contribution margin$220$73
Illustrative worked example with round numbers. Judging CAC against revenue LTV nearly doubles what you think you can afford per customer.

A team using the revenue figure happily pays $120 to acquire customers and wonders why growth burns cash; the margin figure would have capped spend at $73. If contribution margin is a fuzzy concept in your business — which variable costs count, where gross margin differs — the contribution margin entry walks through the full worked example from price to margin.

What is a good LTV:CAC ratio?

The folklore says 3:1, and the folklore is a serviceable floor: below it, acquisition consumes most of the value it creates and fixed costs eat the rest. But the ratio has two well-known failure modes worth respecting.

First, it ignores time. LTV arrives over years; CAC leaves the bank account this month. A 5:1 business whose value takes 30 months to materialize can be cash-starved while a 3:1 business with 6-month recovery compounds comfortably. That is why operators read the ratio alongside CAC payback period, which measures the speed of recovery rather than its eventual size.

Second, a very high ratio is usually a signal to spend more rather than a trophy. At 8:1 you are likely underinvesting in growth — leaving profitable customers unacquired because the target was set as a ceiling instead of a floor.

Our free CAC & LTV Calculator computes the ratio and the payback timeline together, from margin-adjusted inputs, so both failure modes are visible at once.

Why does cohort-based LTV beat the formula?

Because the formula is a forecast built from averages, and averages hide the shape of reality. Cohort measurement takes everyone who first purchased in a given month and tracks that group's actual cumulative spend at 3, 6, 12, and 24 months. The output is a curve rather than a point estimate, and curves reveal what averages bury: whether repeat behavior is improving or decaying across cohorts, how long the tail really runs, and where lifetime value actually plateaus.

Practically, cohort LTV changes three decisions. It replaces the "years retained" guess with observed data. It lets you set CAC ceilings against 12-month cohort value — a conservative, bankable horizon — rather than a speculative lifetime. And it turns LTV into a testable metric: when a lifecycle program ships, the next cohort's curve either lifts or it does no such thing, and you know within a quarter.

The blended-average trap is real: one strong wholesale-adjacent cohort or a viral month can drag the average up while every recent cohort quietly underperforms. Averages flatter; cohorts confess.

How does LTV differ for subscription and one-off businesses?

Subscription businesses get the luxury of arithmetic. Expected lifetime in months is roughly 1 ÷ monthly churn, so LTV = monthly contribution per subscriber ÷ monthly churn. A $40 monthly box at 60% margin with 4% monthly churn: $24 of monthly contribution ÷ 0.04 = $600 LTV. Churn moves the number violently — cutting churn from 4% to 3% lifts LTV by a third with zero change in pricing or acquisition.

One-off and considered-purchase retailers must instead model the probability and timing of repeat orders, which is exactly where lifecycle marketing earns its budget. Email and SMS carry disproportionate weight here: email drives 25–30% of ecommerce revenue for mature programs per Klaviyo data, at an ROI Litmus measures at $36 per $1 across industries. The full channel picture — opens, clicks, revenue per recipient — lives in our roundup of email marketing statistics.

How do you actually raise LTV?

Work the formula's factors in order of leverage:

  • Frequency. Post-purchase flows, replenishment reminders, and win-back campaigns move orders per year. Our lifecycle email playbook sequences the flows by expected impact.
  • Retention. Onboarding quality, product education, and subscription options extend years retained — the input with the widest error bars and the most compounding upside.
  • Order value. Bundles, free-shipping thresholds, and post-purchase offers raise AOV without touching auction dynamics.
  • Margin. Mix-shift toward higher-margin SKUs and shipping-cost discipline raise the multiplier on everything above.

There is also a defensive reason to invest here: acquisition keeps getting more expensive, with CPMs and CPCs inflating year over year across major auctions. Every dollar of LTV you add is a dollar of CAC headroom your competitors have to match. Building that machine — flows, segmentation, and the measurement behind it — is the core of our lifecycle and demand generation practice, and the rest of the metric family lives in our growth marketing glossary.

Frequently asked questions

How do you calculate customer lifetime value?
The working formula is LTV = average order value × orders per year × years retained × contribution margin. A store with an $80 AOV, 2.5 orders per year, two-year typical retention, and 55% contribution margin has an LTV of $220. Formula LTV is a starting estimate; cohort data — tracking what real customer groups actually spend over 12 and 24 months — should replace it as soon as you have the history.
What is a good LTV:CAC ratio?
The folk benchmark is 3:1 — three dollars of lifetime value per dollar of acquisition cost. It is a decent floor for a steady-state business and a poor universal target: the ratio says nothing about how fast the value arrives, so a 5:1 business with a 24-month payback can still strangle its own cash flow. Read LTV:CAC together with payback period, and make sure the LTV side is margin-adjusted.
Should LTV be based on revenue or profit?
Profit. Revenue LTV overstates what a customer is worth by whatever your cost of goods, shipping, and payment fees consume — at a 55% contribution margin, revenue LTV is nearly double the money you can actually spend against. Every downstream decision that uses LTV, from CAC ceilings to payback math, breaks quietly when the input is revenue dressed up as value.
How is LTV different for subscription businesses?
Subscriptions replace the retention-years guess with churn math: lifetime in months is roughly 1 divided by monthly churn, so LTV = monthly contribution per subscriber ÷ monthly churn rate. A $40-a-month subscription at 60% margin and 4% monthly churn is worth about $600. One-off retailers have to model repeat probability instead, which is exactly why cohort curves matter more for them.
What increases LTV fastest?
Retention frequency and order value, usually in that order. Lifecycle email and SMS are the highest-leverage tools because they cost almost nothing per send — email drives 25–30% of ecommerce revenue for mature programs per Klaviyo data, and Litmus pegs email ROI at $36 per $1 spent. Bundles and thresholds raise AOV, while subscription options convert one-off buyers into compounding ones.

Free tools for this topic

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