Marketing guide · 10 Nov 2026 · 6 min read
Customer lifetime value: what a customer is worth over time
A first sale tells you very little about the value of a customer. Lifetime value looks at the whole relationship, and it changes how you judge what is worth spending to win someone.
The short answer
Customer lifetime value (often shortened to CLV or LTV) is the total value a customer brings your business over the whole time they buy from you. A simple estimate multiplies average order value, purchases per year and years as a customer, then adjusts for margin. Use it to decide how much you can sensibly spend to win a customer.
What lifetime value means
Customer lifetime value is an estimate of what one customer is worth to you across the whole time they stay with you. A café customer might spend a small amount each visit, but come for years. A one-off project client might spend once, yet refer others. Looking only at the first sale hides both patterns.
The figure is useful for one reason above all: it tells you how much you can afford to spend to win a customer without losing money. Without it, every marketing decision is a guess based on the first order.
Keep in mind that it is an estimate. It uses past behaviour to guess at the future, and customers do not always repeat what earlier ones did.
The simplest way to work it out
Start with a basic formula. The letters below are explained, and the numbers are an example only.
- A = average order value, the typical amount a customer spends per purchase.
- F = how many purchases a customer makes in a year.
- T = how many years, on average, a customer stays.
Revenue per customer = A x F x T.
Example only: A is 50, F is 4 and T is 3. Then 50 x 4 x 3 gives 600 of revenue per customer over the relationship. That uses made-up numbers to show the method; use your own figures.
For a service business that sells projects or retainers, replace A and F with the typical monthly fee and the number of months a client stays. The idea is the same.
Not every customer fits an average. Try the sum separately for two or three groups, such as customers who first bought a small item and customers who first bought a large one, or customers who came from search and customers who came from a referral. Differences between groups often point to where your best customers come from, and that is worth knowing before you plan where to spend next.
Write your assumptions beside the result. For example: "Based on customers who first bought in 2024, five-year history not yet known, margin from last year's accounts." Six months later you will be glad of the note.
Revenue is not profit
The previous number is revenue. What matters for decisions is what is left after the direct costs of serving the customer. Multiply by your gross margin, which is the share of revenue that remains after the direct costs of the product or service.
Example only: if the direct costs of serving the customer take 360 out of that 600 of revenue, the margin left is 240. That 240 is the figure to compare with acquisition spending. A business that compares revenue per customer with ad spend will overstate how well it is doing.
Be careful with what counts as a direct cost. Include delivery, payment fees, materials and the staff time that varies with each order. Leave out fixed costs such as rent, which exist whether or not you win this customer. If you are unsure how to classify something, ask your accountant.
Where to find the numbers
You do not need special software to start. Most of the figures sit in tools you already use.
| Number | Where it usually lives |
|---|---|
| Average order value | Shop or invoicing reports |
| Purchases per year | Customer records in your shop, booking system or CRM |
| Customer lifespan | Date of first and last purchase across customers who have stopped |
| Margin | Your accounts or your accountant |
Pull a list of customers whose first order was a year or more ago and see what they actually spent. A real history of old customers is more trustworthy than a formula. If your records are patchy, say so in your notes and treat the result as a rough range, not a single figure.
Using it to set acquisition limits
The practical use is to put a ceiling on acquisition cost. If a customer is expected to leave you with a margin of 240 (example only), then spending more than that to win them loses money, and spending close to that leaves no room for running the business. Many owners set a target at a fraction of lifetime margin and a tighter limit for the first purchase, because cash arrives slowly.
Link this to the numbers in cost per lead versus cost per acquisition. A lead is not a customer, so work backwards: lifetime margin sets the most you can pay per customer, the share of leads who become customers then sets the most you can pay per lead.
Remember timing. If a customer takes eighteen months to repay what you spent, your business must be able to wait for it.
A worked example of the logic, again with made-up numbers. Suppose margin per customer is 240 and you want to leave room for running costs and profit. You might decide never to spend more than a third of it, 80, to win a customer through paid channels. If one in five leads becomes a customer, the most you can pay per lead is a fifth of 80, which is 16. If your campaigns cost more per lead than that, you need to fix the page, improve lead quality, raise the order value or look at a different channel.
Ways to increase it honestly
There are only three levers: customers spend more per order, buy more often, or stay longer. Each has a fair method and an unfair one.
- Spend more per order. Offer sensible bundles or add-ons that really suit the customer. Do not push items they will return.
- Buy more often. Send useful reminders and follow-ups, as in post-purchase emails. Consider a loyalty programme if it suits your product.
- Stay longer. Fix the problems that make people leave. Ask them, using a measure such as the net promoter score, and act on what you hear.
Keeping existing customers is often a different job from finding new ones, as covered in retention versus acquisition.
Mistakes to avoid
Several habits distort the figure. Averaging every customer together hides that some groups are worth far more than others, so split by how they arrived or what they bought first. Counting a customer who has gone quiet as still active inflates the lifespan. Using a short period of strong sales to predict many years ahead is optimistic. And treating the number as a promise makes it dangerous: it is an input to judgement, not a forecast to bank.
Review the calculation once or twice a year, and again after any big change to your prices or service. If you want help setting up the tracking, see our digital marketing service. A good next idea is to ask a referral programme to send you customers who may be worth more, as in the referral marketing guide.
Related guides
- Digital marketing
- Cost per Lead vs Cost per Acquisition
- Referral Marketing: How to Set Up a Programme
- Value proposition how to write one
- Customer reviews how to ask and use them
Questions and answers
Is customer lifetime value the same as revenue per customer?
Not quite. Revenue per customer counts everything they spend. Lifetime value used for decisions should be adjusted for margin, so it shows what the customer leaves you after the direct costs of serving them.
What is a good customer lifetime value?
There is no universal figure. A good value is one that is clearly higher than what it costs you to win and serve a customer, with room for your running costs.
How do I calculate lifetime value for a service business?
Use the typical monthly fee or project value, the number of months or projects a client stays, and your margin on that work. Check it against real past clients.
How often should I update the calculation?
Once or twice a year, and after a big change in prices, products or customer mix. Old figures can mislead.
Can small businesses with little data use it?
Yes, as a rough range. Use the customers you have, state your assumptions and update as records improve.
Tell us what you are building.
A short call, a written plan and a fixed quote. No obligation.