Customer Lifetime Value: Formula and 5 Examples (2026)

Customer lifetime value (CLV) is the total revenue you can expect from one customer over their whole relationship with your business. You work it out with one line of math.

CLV = average order value × purchase frequency × customer lifespan

So a customer who spends $80 an order, buys 4 times a year, and stays for 3 years is worth $960 to you.

The rest of this guide shows where each number comes from, with a worked example and five industries side by side.

What Is Customer Lifetime Value?

Customer lifetime value is an estimate of the revenue an average customer brings in from their first purchase to their last, calculated from order value, buying frequency, and how long customers stay.

You’ll also see it called LTV or CLTV. They mean the same thing.

There are two ways to look at it. Historical CLV uses what customers have already spent. Predictive CLV forecasts what they will spend, which matters more for new stores with little history.

Our guide on how to predict customer lifetime value covers the second one.

Why Customer Lifetime Value Matters

CLV turns “how much is a customer worth?” into a number you can plan around. That number shapes most growth decisions.

• It caps what you can spend to win a customer. If a customer is worth $375, a $400 acquisition cost loses money on every sale.
• It shows which customers to keep. Segments with a high CLV deserve better service and earlier access to offers.
• It ranks your channels. A channel that brings fewer but longer-lasting buyers can beat one with cheaper first orders.
• It makes revenue forecasts more grounded, because you’re projecting from repeat behavior, not one-off sales.

Customer Lifetime Value Formula

The basic CLV formula multiplies three averages, all measured over the same period.

Part	What it means	How to calculate it
Average order value	What a customer spends per order	Total revenue ÷ number of orders
Purchase frequency	How many orders each customer places in the period	Number of orders ÷ number of unique customers
Customer lifespan	How long a customer keeps buying	Average years from first to last purchase, or 1 ÷ churn rate
Churn rate	Share of customers you lose in the period	Customers lost during the period ÷ customers at the start

Average order value times purchase frequency is sometimes called customer value. It tells you what an average customer is worth in one period, before you multiply by how many periods they stay.

Skip the math: enter your average order value, yearly purchases, and lifespan in our free customer lifetime value calculator and get your CLV instantly.

How to Calculate Customer Lifetime Value

Here’s the full calculation for a made-up online skincare store, using its last 12 months of data: $240,000 in revenue, 4,000 orders, and 1,600 unique customers.

Step 1: Pick One Time Period

Use the same window for every part of the formula. Twelve months works for most stores because it smooths out seasonal spikes like the holidays.

Step 2: Find Average Order Value

Divide total revenue by the number of orders.

$240,000 ÷ 4,000 orders = $60 average order value

Step 3: Find Purchase Frequency

Divide the number of orders by the number of unique customers who placed them. Count each customer once, no matter how often they bought.

4,000 orders ÷ 1,600 customers = 2.5 orders per customer per year

Step 4: Find Customer Value

Multiply average order value by purchase frequency to get what one customer is worth per year.

$60 × 2.5 = $150 per customer per year

Step 5: Find Customer Lifespan

If you have years of order history, average the time between each customer’s first and last purchase. If you don’t, use churn.

Say the store had 1,000 active customers at the start of the year and 600 of them were still buying at the end. It lost 400, so churn is 400 ÷ 1,000 = 40%.

Lifespan is then 1 ÷ 0.40 = 2.5 years.

Our free churn rate calculator does this step for you.

Step 6: Multiply for CLV

Multiply customer value by lifespan.

$150 × 2.5 years = $375 customer lifetime value

On average, each new customer of this store is worth $375 in revenue over the time they stay.

5 Customer Lifetime Value Examples

The same formula gives very different answers across industries. Here are five businesses worked through side by side.

Business	Average order value	Purchases per year	Lifespan	CLV
Online shoe store	$400	3	5 years	$6,000
SaaS subscription	$350 per month	12	5 years	$21,000
Car dealership	$10,000	1.25	7 years	$87,500
Retail store	$50	4	5 years	$1,000
Fitness center	$600	1.43	3 years	$2,571

Where the inputs came from:

• Online shoe store: a luxury shoe brand whose customers buy about three pairs a year.
• SaaS subscription: a project management tool billed monthly through automatic payments, so 12 charges a year.
• Car dealership: $10,000,000 in revenue from 1,000 sales to 800 customers, so $10,000 per sale and 1.25 sales per customer.
• Retail store: $2,000,000 from 40,000 purchases by 10,000 customers.
• Fitness center: $1,200,000 from 2,000 memberships sold to 1,400 members.

Notice how the car dealership wins on order value while the SaaS tool wins on frequency. That tells you which lever each business should pull to grow CLV.

Common CLV Calculation Mistakes

Most wrong CLV numbers come from a few small slips in the inputs, not from the formula itself.

• Mixing time periods. Monthly order value times yearly frequency gives a number that means nothing. Keep every input in the same window.
• Dividing orders by orders. Purchase frequency is orders per unique customer. Count each customer once, or frequency always comes out as 1.
• Getting churn backwards. Churn is customers lost ÷ customers at the start. Customers left at the end is your retention, not your churn.
• Reading revenue as profit. Compare acquisition cost against profit CLV, or every channel will look cheaper than it is.
• Averaging everyone together. One big wholesale buyer can hide a weak retail base. Work out CLV by segment, too.

Where to Find Your CLV Data

You don’t need special software to get started. The three inputs already sit in tools most stores use.

• Your store platform: Shopify, WooCommerce, and BigCommerce reports give you revenue, order counts, and unique customers for any date range.
• Google Analytics 4: the User lifetime exploration shows revenue per user over time and which channels bring the highest spenders.
• Your email platform or CRM: customer profiles show first and last order dates, which you need for lifespan.

Pull the numbers once a quarter, plug them into the formula, and track whether CLV is rising or falling.

Profit-Based CLV: Add Your Margin

Revenue CLV tells you what a customer spends. Profit CLV tells you what you keep, which is the number to compare against marketing costs.

Profit CLV = average order value × purchase frequency × customer lifespan × gross margin

If the skincare store keeps 60% of each sale after product and shipping costs, its profit CLV is $375 × 0.60 = $225. Need the margin first? Use our profit margin calculator.

What Is a Good CLV to CAC Ratio?

A good CLV to CAC ratio is around 3:1, meaning a customer brings in about three times what you spent to acquire them. It’s a common rule of thumb, not a law, so treat it as a starting point.

• Below 1:1: you lose money on every new customer.
• Around 3:1: healthy room to cover costs and still grow.
• Well above 5:1: you may be underspending on growth and leaving customers to competitors.

For the skincare store, a profit CLV of $225 and an acquisition cost of $60 gives a ratio of 3.75:1. Here’s how to calculate customer acquisition cost for your own store.

How to Increase Customer Lifetime Value

Every part of the formula is a lever. Raise any one of them and CLV goes up.

• Raise average order value with bundles, volume pricing, and relevant add-ons at checkout. These upsell and cross-sell strategies show how to do it without annoying buyers.
• Raise purchase frequency with replenishment reminders, post-purchase emails, and a loyalty program that rewards the second and third order.
• Extend lifespan by fixing the reasons people leave, like slow support, surprise shipping costs, or a product that didn’t match the page.
• Build trust before the first order, because buyers who arrive with the right expectations stay longer. Reviews and recent-purchase proof on product pages help set those expectations.

Keep an eye on churn rate month to month. It moves faster than CLV and warns you sooner when something breaks.

Wrap Up

CLV comes down to three questions about your customers: how much they spend, how often they come back, and how long they stay.

Work out each one from your own data, check the result against what you pay to win a customer, then push on whichever lever is weakest.