Analytics & Measurement
Customer lifetime value
Also known as: CLV, LTV, lifetime value
Customer lifetime value (CLV or LTV) is the total profit or revenue a business expects to earn from a customer relationship over its lifetime. It combines purchase value, purchase frequency, margin, and retention into a single forward looking figure. Teams use it to decide how much they can afford to spend acquiring and keeping customers.
What it is
CLV can be measured historically, by summing what past customers actually contributed, or predictively, by modelling expected future behaviour from purchase patterns and churn rates. Most versions net out cost of goods and sometimes service costs, and discount future cash flows for longer horizons. It is usually reported by segment or acquisition cohort rather than as one company wide number.
Why it matters
Acquisition decisions only make sense against value, not cost alone. Knowing that customers from one channel, product, or content topic are worth several times more than another changes budget allocation, bidding, and content priorities. It also shifts attention towards retention work, which is often cheaper than winning new customers.
How it works
A simple version multiplies average order value by purchase frequency by expected customer lifespan, then applies gross margin. More robust approaches use cohort retention curves or probabilistic models fitted to transaction histories. Practitioners compare CLV with customer acquisition cost by channel and campaign, and track how the ratio moves as they change targeting or onboarding.
When it applies
It applies wherever customers can buy more than once, including subscriptions, ecommerce, and repeat service businesses. It is less useful for genuinely one off purchases, though even there referral and cross sell value can matter.
Examples
- A DTC brand finds customers acquired through its ingredients guide have 40 percent higher repeat purchase rates than those from discount led ads, and reallocates budget accordingly.
- A SaaS company models CLV by plan tier and discovers annual plan customers churn at half the rate of monthly, prompting a pricing page change.
- A pet supplies retailer calculates CLV by first product purchased and shifts acquisition spend towards the subscription food category.
How it is measured
- CLV to CAC ratio by acquisition channel and campaign
- Repeat purchase rate and average time between orders
- Cohort retention curves by acquisition month or source
- Gross margin adjusted revenue per customer over 12 and 24 months
Insights on Customer lifetime value
Related terms in Analytics & Measurement
- A/B testingA/B testing is a controlled experiment that shows two or more versions of a page, email or feature to randomly split groups of users and compares how each performs against a chosen goal. It isolates the effect of a single change so improvement can be attributed rather than assumed. It is also called split testing.
- AttributionAttribution is the practice of assigning credit for a conversion to the marketing touchpoints that preceded it. It covers the models, rules and data joins used to decide which channels, campaigns or content get counted. In AI search, attribution is harder because many assistant-led journeys leave little or no referral data.
- Click-through rateClick-through rate is the proportion of people who saw something and then clicked it, expressed as clicks divided by impressions. It is used to judge search listings, ads, emails and internal links. A higher rate usually means the message matched what the audience was looking for.
- Consent ModeConsent Mode is a Google framework that lets tags adjust their behaviour based on the consent choices a visitor has made. Instead of tags being blocked outright, they receive signals about whether analytics and advertising storage are allowed, and act accordingly. Version 2 added parameters covering the use of personal data for ads and for ad personalisation.
- Conversion trackingConversion tracking is the practice of recording the actions you care about, such as purchases, form submissions or calls, and connecting them back to the channel, campaign or session that led to them. It gives advertising platforms and analytics tools the outcome data they need to report performance and optimise bidding. Accuracy depends on correct tag implementation, consent handling and clear conversion definitions.
- Cross-channel reportingCross-channel reporting is the practice of bringing performance data from search, social, email, paid media, AI assistants and other channels into a single view. It standardises metrics and time periods so channels can be compared fairly rather than judged in isolated platform dashboards. The aim is to show how channels work together to produce enquiries, sales and revenue.