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How this guide was prepared. Last updated October 2026. It draws on Brandmovers' experience designing loyalty programs for consumer and B2B brands, including the Metrolink program described below, as reported on its case page. It also draws on research from Harvard Business Review, the Journal of Marketing, the Journal of the Academy of Marketing Science, PwC, McKinsey and Bond, and on California Attorney General guidance, listed under Sources. |
Customer lifetime value (CLV) is the total value a customer brings to a business over the whole relationship, usually measured as the gross margin from their expected future purchases. It shows how much a business can afford to spend to win and keep a customer, and which customers are worth the most.
This guide covers how to calculate CLV, the eight levers that increase it, where loyalty programs fit, how to segment customers by value and how to tell whether your efforts are working. A worked example uses illustrative figures.
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Calculate CLV by multiplying the gross margin a customer generates each year by how long they are likely to stay, or use a retention-based formula that discounts future years.
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Method |
Formula |
When to use it |
|---|---|---|
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Simple revenue |
Average order value × purchases per year × years as a customer |
Quick comparisons only; overstates value |
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Margin-based |
Average order value × gross margin % × purchases per year × years as a customer |
Comparing with acquisition cost |
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Retention-based |
Annual margin per customer × retention rate ÷ (1 + discount rate − retention rate) |
Subscription and contract businesses, or others with a reliable estimate of retention |
The retention-based version is a common simplified form. It assumes margin and retention stay constant each year, counts margin from the next year onward and discounts each future year. It fits subscription and contract businesses, where a customer who leaves can be seen leaving. In businesses without contracts, such as grocery or restaurants, customers rarely announce that they have left, so the retention rate has to be estimated, for example as the share of last year's buyers who bought again this year. Retention also tends to differ between new and long-standing customers, so more detailed models track customers by cohort, and statistical models can predict future purchases from each customer's purchase history. Gross margin leaves out the cost to serve, such as returns, shipping, service and rewards; subtract those from annual margin where they can be estimated, or the formula will not show the effect of the levers that lower them.
Illustrative example. A grocery shopper spends $175 a week, or $9,100 a year. On revenue alone over three years, that is $27,300. At an illustrative 25% gross margin, the three-year margin is $6,825. Using the retention-based formula with an annual margin of $2,275, an 80% retention rate and a 10% discount rate, CLV is about $6,067 ($2,275 × 0.8 ÷ 0.3). That is lower than the three-year margin even though an 80% retention rate implies an average of four more years, because the formula counts only the years after the current one and discounts each of them. The three-year revenue figure is four times the three-year margin, which is why margin matters when deciding how much to spend on a customer.
Calculate CLV by segment, such as new and established customers or customers acquired through different channels, rather than one average for everyone. The loyalty KPI dashboard shows how CLV fits with retention, churn and other program metrics.
CLV increases when customers stay longer, buy more often, spend more per order, cost less to serve, refer others, start well, get problems fixed and receive relevant offers.
Retention often has the largest effect on CLV because every extra year adds another year of margin, and each point of retention is worth more the higher retention already is. In the worked example above, raising retention from 80% to 84% lifts CLV from about $6,067 to about $7,350, a rise of about 21%, while raising annual margin by 5% lifts it by 5%. Retention is harder to change than a price or an offer, though, and gains show up slowly. Harvard Business Review reported in 2014, citing Frederick Reichheld of Bain & Company, that "increasing customer retention rates by 5% increases profits by 25% to 95%" (Harvard Business Review); the figure concerns retention in general, and the article cites the Bain research without giving its sample or method, so treat it as direction. The customer retention FAQs cover how to measure and improve retention.
Shortening the gap between purchases raises CLV without new customers. Reminders tied to each customer's usual buying cycle, rewards that are reachable within a few purchases and reasons to visit between purchases all help.
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Case study (disclosed by Brandmovers). Metrolink, Southern California's regional passenger rail system, built the SoCal Explorer loyalty program with Brandmovers on BLOYL™, the Brandmovers B2C enterprise loyalty platform, rewarding both transactional and non-transactional rider behaviors. The case page reports a "+15% increase in average monthly transactions among members." The page does not state the baseline or compare members with non-members, riders who join may already ride more than those who do not, and the figure reflects the whole program, not one tactic. |
Relevant cross-sell and upsell offers, bundles and thresholds for free shipping can increase order value. Watch margin: an offer that raises order value through discounts can lower CLV.
CLV is margin, so heavy discounting, costly returns and expensive service channels reduce it even when sales rise. Offers that train customers to wait for a deal can lower margin on purchases they would have made anyway.
Referred customers can be worth more. In a study of about 10,000 customers of a German bank, Schmitt, Skiera and Van den Bulte found that "the average value of a referred customer is at least 16% higher than that of a nonreferred customer with similar demographics and time of acquisition" (Journal of Marketing). The study also found that the margin advantage eroded over time while the retention advantage persisted, and that the gap varied across customer segments. One bank's results will not hold everywhere, so compare referred and non-referred customers in your own data. The value a referral brings comes from the customer who made it, so count it when judging which customers are worth keeping.
A new customer who reaches value quickly, such as a first reward or a well-supported first use, has a reason to return. The guide to loyalty program onboarding emails covers how to structure those first weeks.
Bad experiences can end relationships: in PwC's 2025 survey of 5,511 US consumers, 52% said they stopped using or buying from a brand after a bad experience with its products or services (PwC). Track where complaints and returns cluster, fix the causes and follow up with customers whose problems were resolved.
Relevant communications can prompt repeat purchases: in McKinsey's 2021 research, 78% of consumers said personalized communications made them more likely to repurchase (McKinsey). McKinsey does not state the sample on that page, so treat the figure as directional.
Loyalty programs can raise CLV by encouraging repeat purchases and capturing data, but evidence suggests the gains depend on program design and on which customers change their behavior.
Members report that programs change their spending: in Bond's 2026 survey of 20,591 US loyalty program members, Bond reports that 85% are more likely to continue doing business with a brand that has a loyalty program, "with 73% spending more as a result" (Bond). The figures are self-reported, Bond sells loyalty services and it surveyed members only. One firm-level study is positive: across 322 publicly traded firms that introduced a loyalty program between 2000 and 2015, introducing a program can increase sales and gross profits within the first year, sustained for at least three years, although profit gains lagged behind sales and programs with tiers or earning mechanisms showed significant gains (Journal of the Academy of Marketing Science). Who benefits matters: in a study of a convenience store franchise, heavy buyers claimed their rewards but did not change their behavior, while light and moderate buyers "gradually purchased more and became more loyal to the firm" (Journal of Marketing). Design rewards and bonuses to change the behavior of customers with room to grow, and count rewards paid to heavy buyers as a cost of keeping them, not a gain.
Segment customers by current and potential value, then match spending to each segment: keep high-value customers, grow customers with potential and limit spending where cost exceeds return.
CLV models are estimates, and predictions for new customers with short histories are less reliable. Check predictions against what customers actually spend in the following period, review segments regularly and check that customers move between them as expected. Keep segment rules away from protected characteristics and close proxies for them, and in regulated categories such as financial services, insurance and healthcare, check the category's rules before varying offers or prices by segment.
You need one customer identity across channels, full purchase history, margin by product and an estimate of the cost to serve each customer, kept current and used within privacy rules.
The hardest part is usually identity: a customer who buys online, in store and through an app needs to be recognized as one person, or CLV will be split and understated. A loyalty program helps because members identify themselves when they scan, sign in or check out as members. Margin data often sits in finance systems rather than marketing tools, so agree on the margin figures to use and how to allocate costs such as returns, shipping and service. Refresh the calculation on a schedule, give one team ownership of the model, and make the segments available in the systems that send offers, so the analysis changes what customers receive. A smaller business without these systems can start with the margin-based formula and the order history in its point-of-sale or e-commerce platform, then refine the estimate as data improves.
Using purchase data to segment customers and target offers is subject to privacy rules. Under the California Consumer Privacy Act, a business can offer rewards in exchange for personal information only if "the financial incentive offered is reasonably related to the value of your personal information," as the California Attorney General explains (California Attorney General). The law applies only to businesses that meet thresholds listed on the Attorney General's page, based on annual revenue, the number of California residents or households whose personal information they buy, sell or share, or the share of revenue from selling it. Tell members how their data is used, honor opt-outs, and check the rules in each state where members live. This is general information, not legal advice.
Measure CLV by cohort over time and test each effort against a holdout group, because overall CLV moves slowly and is affected by many things at once.
Track the components that move first: retention by cohort, purchase frequency, average order value, gross margin per customer and referral share. For each effort, such as a new reward or a win-back campaign, hold back a similar group and compare their behavior over the following months. That shows what the effort added beyond what customers would have done anyway, which is the figure that justifies its cost. A holdout needs enough customers in each group to show a difference; where a business is too small for that, compare results before and after a change against a similar period or a similar location, and treat the result as less certain. The loyalty program ROI calculation framework shows how to turn those results into a return on investment.
In B2B, calculate CLV by account rather than by person, and include contract renewals, the number of buyers involved and the cost to serve each account.
B2B accounts often buy in larger, less frequent orders, renew contracts on fixed dates and involve several people in each decision, so a single contact's behavior can miss the account's value. Cost to serve can vary widely between accounts, with account management, custom pricing and support, so margin-based CLV matters even more. The same levers apply: retention through renewals, growth in share of the account's spending, and referrals between businesses.
Customer lifetime value is the margin a customer brings over the whole relationship, and it grows when customers stay longer, buy more often, spend more profitably, refer others and get a good start and good service. Calculate it on margin by segment, use loyalty programs to change the behavior of customers with room to grow, and test every effort against a holdout group. Which of the eight levers has the most room to grow in your business?
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Want to grow the lifetime value of your customers? Brandmovers designs loyalty programs on BLOYL that reward purchases and actions such as referrals and profile completion, with A/B testing against a control group to show what each change adds. Request a demo to talk it through with the Brandmovers team. |