Lifetime value (LTV), also written as CLV or CLTV, is the total revenue a business expects to generate from a customer over the entire duration of their relationship. It represents the long-term economic value of acquiring a specific type of customer and is central to determining how much it is rational to spend on customer acquisition.

The simplest LTV formula is: average annual revenue per customer ÷ annual churn rate. A customer generating £20K ARR with a 20% annual churn rate has an LTV of £100K. More sophisticated models incorporate revenue expansion, gross margin, and time-based discounting, but the simple version provides enough accuracy for most strategic decisions.

LTV is most useful when compared to CAC (customer acquisition cost) in the LTV:CAC ratio. A ratio of 3:1 or above is generally considered healthy: you generate three times the acquisition cost over the customer's lifetime. Below 1:1 means you are losing money on each customer acquired. The ratio sets the upper bound for rational acquisition investment and informs where to invest in retention versus acquisition.

LTV varies significantly by customer segment. Enterprise customers typically have higher LTV due to larger contracts and lower churn rates. SMB customers typically have lower LTV due to smaller contracts and higher churn. Calculating LTV by segment allows you to make segment-specific acquisition investment decisions rather than applying a single blended LTV across all customer types.

In a B2B pipeline model, this is only useful if it changes resourcing or prioritization. A clean definition helps the team decide where to push harder, where to cut waste, and which funnel step deserves attention next. It usually becomes more useful when it is defined alongside CAC, Churn, and Expansion revenue.

LTV — example

A B2B SaaS company calculates LTV by segment. Enterprise customers generate £60K ARR average with 8% annual churn: LTV = £750K. Mid-market customers generate £18K ARR with 15% annual churn: LTV = £120K. SMB customers generate £4K ARR with 35% annual churn: LTV = £11.4K. With CAC of £90K for enterprise, £25K for mid-market, and £3K for SMB, LTV:CAC ratios are 8.3x, 4.8x, and 3.8x respectively. All three are healthy but enterprise produces the highest absolute return per acquisition investment.

A growth team uses LTV to compare channels that look similar at the lead level but behave very differently once opportunities and qualified pipeline are considered. That changes how budget and rep time get assigned. They also make sure it connects cleanly to CAC and Churn so the definition is not trapped inside one team.

Frequently asked questions

How do I calculate LTV accurately if I have only 12 months of customer data?

Use your 12-month cohort data to estimate annual churn and extrapolate. Acknowledge the uncertainty in early estimates: LTV calculated on 12 months of data will underestimate the value of customers who have actually been retained longer. As your cohort data matures, update the LTV model. Avoid using LTV projections with less than 18 to 24 months of cohort data for major capital allocation decisions.

What is a healthy LTV:CAC ratio?

3:1 is the widely cited healthy threshold. Below 1:1 means acquisition is loss-making. Above 5:1 may indicate underinvestment in growth. The ratio should also be evaluated alongside payback period: an LTV:CAC of 5:1 with a 36-month payback requires significant working capital compared to a 3:1 ratio with a 12-month payback.

How does expansion revenue affect LTV?

Expansion revenue increases LTV beyond what the initial contract value alone would suggest. If your customers expand at 20% annually on average, your LTV is materially higher than the initial ACV divided by churn rate. Including expected expansion in LTV calculations produces a more realistic estimate of customer lifetime value for segments with strong NRR.

Should I use LTV to justify higher outbound acquisition spend?

Yes, but carefully. LTV is a predictive model, not a guarantee. Use it to set the rational upper bound on CAC, not as permission to spend up to LTV. If your historical LTV at the 50th percentile of customers in a segment is £80K, a CAC of £30K is defensible. Using a top-quartile LTV estimate to justify a high CAC is optimistic and risky.

How does pricing model affect LTV?

Usage-based pricing typically produces higher LTV in successful customers because revenue grows naturally with customer growth. Flat-rate pricing caps LTV at the contract value unless expansion is actively sold. Tiered pricing with clear upgrade paths produces predictable expansion if the upgrade triggers match actual customer growth milestones. The pricing model is a lever for LTV improvement as much as retention.