Customer Lifetime Value: How To Calculate CLV (2026)

Customer lifetime value (CLV) shows what each customer is worth over time. Get the CLV formula, worked examples, and where to find CLV in Shopify.

Customer lifetime value (CLV) is the total amount a customer spends with your business over the entire relationship. Calculating it helps identify the most valuable customers and allows you to set a budget to acquire similar buyers.

A long-term view helps businesses decide where to spend. The 2026 CMO Survey found customer acquisition spending is 26% higher than retention spending, with the gap widening, even though retention outperforms acquisition.

This guide covers why CLV matters, how to calculate it, and how to increase it. You’ll also see how repeat purchases affect what you can afford to spend on acquisition.

What is customer lifetime value (CLV)?

Customer lifetime value (CLV) measures how much a customer is worth to a business over the entire relationship. It’s also called CLTV or lifetime value (LTV). LTV is the abbreviation most often paired with customer acquisition cost (CAC) in the LTV-to-CAC ratio.

A revenue-based formula multiplies average purchase value, also called average order value, by average purchase frequency and average customer lifespan:

CLV = Average order value x Annual purchase frequency x Average customer lifespan in years

In this calculation, customer value measures average spending during a set period, such as one year. Customer lifetime value accounts for the full length of the relationship.

For example, if your average customer makes a $50 purchase every six months for four years, their annual customer value is $100, and their CLV is $400. 

Businesses can assess CLV in two ways:

• Historical CLV. Uses a customer’s order history to measure the value of purchases already made. It shows their contribution to date but doesn’t account for future purchases.
• Predicted CLV. Estimates lifetime value using purchase history and forecasts of future behavior, such as how often a customer will buy and how long they’ll stay.

Brands calculate CLV across their customer base, then examine individual customers and customer segments. 

“When you start grouping customers together, [you’ll see] some customers are incredibly valuable,” says Google Chief Strategist Neil Hoyne. “The question that businesses have to ask themselves is, ‘What makes these great customers so special?’”

Why is customer lifetime value important?

Tracking customer lifetime value helps decide how much to invest in acquiring and retaining customers. Customer value management uses that data to prioritize high-value segments and allocate marketing spend. Track CLV alongside customer churn to understand how shorter relationships affect future revenue.

Here’s how that information can improve your marketing and retention decisions.

Boost loyalty and drive repeat sales

Segmenting customers by CLV helps you identify your biggest spenders and understand what keeps them coming back. 

Look at the products they buy and the marketing channels that brought them to your store. Use those patterns to tailor your customer experience and encourage repeat purchases.

Shopify’s customer segmentation tools let you build groups using criteria such as total spending, order count, and last purchase date. Customers enter or leave each segment automatically as their behavior changes.

For example, create a segment of high-spending customers whose last order falls outside their usual buying cycle. Send replenishment reminders to your marketing email subscribers based on their previous purchases.

“You just get this understanding [that] these are the people your business gets along with,” Neil says. “You [can be] more focused as to who you pay attention to, what you do in your business, the products you build, the marketing campaigns you have, and the people you service first.”

Increase your LTV to CAC ratio

The LTV-to-CAC ratio compares a customer’s lifetime value with the cost of acquiring them. Increasing CLV at the same acquisition cost means you earn more revenue from each customer you paid to attract.

In Shopify’s Q4 2025 survey of 500 store owners, 30% of those with more than $1 million in revenue said they track customer acquisition cost, compared with 5% of those under $100,000.* 

Tracking CAC alongside CLV helps you assess whether acquisition spending pays off over the course of the customer relationship. Use marketing analytics to compare CAC and CLV by acquisition channel. A healthy blended ratio can hide a channel that attracts low-value customers at a high cost.

A 3:1 LTV-to-CAC ratio is the benchmark, but your target depends on your margins and operating costs. With revenue-based CLV, that ratio means $3 in lifetime revenue for every $1 spent acquiring a customer. 

How to calculate customer lifetime value

CLV = Average order value x Purchase frequency x Average customer lifespan

This basic formula combines three ecommerce metrics to estimate revenue per customer. Calculate the inputs using consistent time periods: annual purchase frequency goes with customer lifespan measured in years.

• Average order value (AOV). The average amount customers spend per transaction. AOV = Total revenue / Total number of orders
• Purchase frequency. The average number of orders each customer places during a set period. Annual purchase frequency = Orders during the year / Unique purchasing customers during that year
• Average customer lifespan. The average length of time customers continue buying from your business. Average customer lifespan = Sum of customer relationship lengths / Number of customers measured

Estimate lifespan using customer groups with enough purchase history to reveal repeat buying patterns. Businesses can use Shopify Analytics or a customer relationship management (CRM) system to gather these inputs.

The following examples show how order value, purchase frequency, and customer lifespan affect CLV:

Store type	Average order value	Purchases per year	Average customer lifespan	CLV calculation
Clothing store	$50	3	2 years	$50 x 3 x 2 = $300
Coffee retailer	$30	12	3 years	$30 x 12 x 3 = $1,080

The coffee retailer earns less per order, but more frequent purchases and longer customer relationships produce a higher CLV. 

Adapt the formula to account for costs, recurring revenue, and the timing of future purchases.

Margin-adjusted CLV

Margin-adjusted CLV = Average order value x Purchase frequency x Average customer lifespan x Gross margin

Enter gross margin as a decimal. For the clothing store above, a hypothetical 60% gross margin produces $180 in margin-adjusted CLV: $300 × 0.6. That’s gross profit before acquisition costs and other operating expenses.

Discount-rate CLV

Discounted future CLV = (m x r) / (1 + d − r)

Here, m is gross profit per retained customer per period, r is the customer retention rate, and d is the discount rate. Enter both rates as decimals and use the same period for all three inputs.

This formula accounts for customers leaving and for future earnings being worth less than money received today. It assumes constant gross profit, retention, and discount rates over an ongoing relationship. It estimates future value after the initial purchase and excludes acquisition costs.

Subscription CLV

Subscription CLV = (Average monthly recurring revenue per customer x Gross margin) / Monthly customer churn rate

This estimate assumes stable monthly revenue, margins, and churn. It doesn’t discount future earnings. To evaluate your result, compare margin-adjusted CLV with CAC for the same customer group. The amount left after acquisition costs must also cover other expenses. 

Check how quickly purchases repay CAC, since projected lifetime earnings don’t pay today’s bills. Then compare your results with your own historical performance.

Measure customer groups at the same age, for example, their first year after purchase, and use consistent definitions of revenue and cost. Your margins, buying cycle, and cash needs determine a sustainable CLV.

How to find your customer lifetime value in Shopify

In Shopify’s Q4 2025 survey of 500 store owners, 77% said they track sales or total revenue, making it the most commonly tracked metric.* Fewer than half track average order value. Calculating CLV also means examining spending per customer.

Use Shopify’s reports and customer tools to review past purchases and estimate future value:

1. Open your customer reports. In your Shopify admin, go to Analytics > Reports, then filter by Customers. Shopify’s reports provide the order and customer data for your calculations.
2. Compare customer cohorts. Open Customer cohort analysis to group customers by when they first purchased. Review repeat purchases and spending over subsequent months. Compare cohorts over equal periods so older groups don’t appear more valuable simply because they’ve had longer to buy.
3. View spending projections. In the report’s Metric menu, select Amount spent per customer, then activate Show projections. Cohort projections need 24 months of store data. They estimate future spending; they aren’t guaranteed sales or a complete lifetime forecast.
4. Check predicted spend tiers. Shopify’s predicted spend data groups purchasers into high-, medium-, or low-spending potential. Your store needs more than 100 sales. These categories help with customer segmentation but aren’t individual dollar CLV estimates.
5. Calculate CLV in a spreadsheet. Export order data for a consistent period, such as one year. Calculate revenue, order count, and unique purchasing customers. Put AOV in B2, annual purchase frequency in C2, and estimated lifespan in years in D2. Enter =B2*C2*D2 in E2. Multiply by gross margin for a margin-adjusted estimate.

For advanced needs, evaluate Shopify analytics apps that offer customer-level forecasts, margin analysis, or acquisition-channel comparisons. Check each app’s CLV definition and data requirements before comparing its results with your spreadsheet.

How to increase customer lifetime value

Increasing order value, encouraging repeat purchases, and extending customer relationships can all improve CLV. Here’s how brands put those ideas into practice.

Diversify product catalog

Some products don’t lend themselves to repeat purchases. Ridge faced this problem with its durable wallets, as satisfied customers had little reason to buy another.

“There was no LTV in the business,” CEO Sean Frank says on the Shopify Masters podcast. 

Ridge expanded into luggage, rings, and tech accessories. The brand tested demand through product listings before committing to launches. Some ideas failed, including T-shirts and socks.

The lesson is to test what existing customers want next. A product that complements their first purchase gives them another reason to shop with you. Make availability and delivery expectations clear when testing new products.

Reward commitment

Loyalty and rewards programs give customers a reason to return. Subscription incentives can also increase average customer lifespan by encouraging shoppers to buy over a longer period.

In Bain’s 2026 analysis with Fetch Rewards, new customers of consumer packaged goods brands who earned a first-purchase reward were 18% more likely to buy again within the next two quarters than organic purchasers. Their spending was also 28.4% higher.

Subscription service 123 Baby Box put commitment-based pricing into practice. The company said it increased CLV by 40% after changing its subscription tiers.

“We analyzed our CLV and saw a major drop-off after three months,” says Zarina Bahadur, CEO and founder. “So we reworked our pricing to reward commitment.” 

Customers who switched from monthly renewals to six-month renewals saved $10 per box. According to Zarina, average subscription length increased from five months to eight.

To create a reward discount in Shopify:

1. Go to Discounts > Create discount.
2. Select Amount off products or Amount off orders.
3. Set the discount method and percentage or fixed amount.
4. Configure customer eligibility, purchase conditions, and active dates, then save.

For recurring purchases, Shopify Subscriptions lets you create subscription plans with different delivery frequencies and discounts. Customers can manage their subscriptions through their accounts.

Measure the extra gross profit from repeat purchases against the cost of rewards. Higher sales don’t automatically mean a more profitable customer relationship.

Identify upselling opportunities

Upselling encourages customers to buy a higher-value version of a product. Cross-selling adds a related product or service. Both can increase AOV and CLV when the recommendation fits the customer’s purchase.

FactoryPure, which sells household machinery, offers extended warranties after customers add a product to their cart. This cross-sell addressed a concern among shoppers buying refurbished equipment.

“When we were very heavy on refurbished items, that was our biggest complaint, because a lot of refurbished items don’t come with a full warranty,” Cofounder Eugene Ravitsky says on the Shopify Masters podcast.

Shopify’s Search & Discovery app lets you customize related and complementary product recommendations on product pages, such as a higher-spec model as an upgrade or a compatible accessory as an add-on. Your theme needs the relevant recommendation sections.

You can also use a compatible app to display an offer on the post-purchase page, after payment and before order confirmation. Install and configure the app, then select it under Settings > Checkout > Post-purchase page. Shopify allows one post-purchase app at a time.

Offer a frictionless checkout experience

Accelerated checkout makes repeat purchases easier by letting customers reuse saved payment and shipping details. Shirt brand UNTUCKit saw a 33% increase in its 30-day customer repurchase rate with Shop Pay.

“One-tap checkout provides an optimal experience, especially for our returning customers on the go shopping via mobile,” says Napon Pintong, senior manager of ecommerce at the brand.

Test your checkout on a phone as a returning customer. Check that accelerated payment options are easy to find and that shipping costs and delivery information are clear before payment.

*Based on a November 2025 survey of 500 Shopify merchants conducted in English across Australia, Canada, the United Kingdom, Ireland, New Zealand, and the United States. Respondents were established merchants with two or more years on the platform. Results reflect the experiences of this specific sample and may not be representative of all merchants.

Customer lifetime value FAQ 

What is a good customer LTV?

A good customer LTV is high enough to recover acquisition costs, cover other business expenses, and leave a profit. A 3:1 LTV-to-CAC ratio is a common reference point, but it doesn’t fit every business. Compare LTV with your margins, payback period, cash needs, and historical results.

What are the five steps to calculate customer lifetime value?

Choose a consistent measurement period, calculate average order value, calculate purchase frequency, estimate average customer lifespan, then multiply the three figures. The result estimates revenue-based CLV. Multiply it by gross margin for a profit-oriented view, then compare the result with customer acquisition cost.

How do you calculate customer lifetime value from discount rate?

Use this formula: CLV = (Gross profit per customer per period x Retention rate) / (1 + Discount rate − Retention rate). Enter both rates as decimals and use the same period for every input. The calculation accounts for churn and the lower present value of future earnings.

What is the difference between CLV, CLTV, and LTV?

CLV, CLTV, and LTV generally refer to the same metric: the value a customer generates over the full relationship with a business. CLV and CLTV explicitly mean customer lifetime value. LTV is the shorter form and appears most often in the LTV-to-CAC ratio.

What is the difference between customer lifetime value and customer lifetime?

Customer lifetime measures how long someone continues buying from a business. Customer lifetime value estimates the revenue or profit that customer generates during that period. Customer lifetime is an input in the CLV calculation, alongside average order value and purchase frequency.