Customer Lifetime Value Calculator

What is customer lifetime value?

Customer lifetime value (CLV, sometimes written LTV) is the total revenue you can expect from a single customer across the whole time they buy from you. Instead of judging a customer by their first order, CLV looks at every order they will place before they churn. It is the number that tells you what a customer is really worth, and therefore how much you can afford to spend to win one.

For ecommerce brands, CLV is the counterweight to acquisition cost. A store with a $40 first order can still scale profitably if those customers come back four times a year for three years; a store with a $120 one-time purchase and no repeat behaviour cannot spend nearly as much to acquire. CLV turns "are these customers worth it?" into a number you can plan against.

The CLV formula

The most useful ecommerce CLV formula multiplies three behaviours together, then adjusts for what you actually keep after costs:

Average order value is what a customer spends per order, purchase frequency is how many orders they place per year, and customer lifespan is how many years they keep buying. Multiplying by your gross margin turns top-line revenue into the profit a customer actually contributes, which is the figure you should base spending decisions on. The calculator above works out both the raw and after-margin numbers for you.

A worked example

Say your average order value is $50, customers order 4 times a year, and they stay with you for 3 years. Your raw CLV is $50 × 4 × 3 = $600. If your gross margin is 40%, your CLV after margin is $600 × 0.40 = $240. Two different monthly figures come out of that over the 3-year (36-month) lifespan, and it is worth being clear which is which: raw revenue per customer is $600 ÷ 36 = about $16.67 per month (this is the calculator's Monthly Value), while after-margin profit is $240 ÷ 36 = about $6.67 per month.

That $240 after-margin figure is the one that governs how aggressively you can acquire. Small changes compound: lift purchase frequency from 4 to 5 orders a year and CLV after margin jumps from $240 to $300, a 25% increase, without acquiring a single extra customer.

Keep in mind this is a simplified model. It treats every future order as equally valuable, with no discounting for the time value of money, and it assumes your purchase frequency and margin hold steady across the whole lifespan. Real customers churn unevenly and margins shift over time, so read the result as a planning estimate, not a precise forecast.

How much should you spend to acquire a customer?

A widely used rule of thumb is to spend no more than one-third of your after-margin CLV to acquire a customer, which keeps a healthy buffer for overhead and profit. On the $240 example above, that puts your maximum customer acquisition cost (CAC) at roughly $80. To work out what you are actually paying today, counting sales spend as well as media, use the CAC calculator. Put another way, a CLV to CAC ratio of about 3:1 is the common target for a sustainable ecommerce business; drop below it and growth starts eating your margin.

The lever most brands underuse is CLV itself. Raising retention and repeat rate lifts the ceiling on what you can spend to acquire, which is usually cheaper than fighting for lower ad costs. If you want to sanity-check the margin behind these numbers, the profit margin calculator and the ROAS calculator pair well with this one.

How to increase customer lifetime value

Each input in the formula is a lever you can pull. Lift average order value with bundles, upsells, and volume incentives. Increase purchase frequency with better lifecycle emails, replenishment reminders, and a reason to come back. Extend customer lifespan by improving the post-purchase experience so people churn later, if at all.

Behind all three sits the same thing: the creative and messaging customers actually see. The brands that grow CLV are usually the ones whose ads, emails, and product pages speak to what customers already care about, using the language customers themselves use. That is exactly what listening to reviews, comments, and campaign data is for, and it is the fastest of these levers to move once you know which messages resonate.