What is Customer Lifetime Value (LTV)?
Total profit expected from a customer relationship.
How to calculate it
Calculate Customer Lifetime Value (LTV) as: Avg revenue per account × Gross margin × Avg lifespan. Pull the inputs from your connected data and track the trend over time in your dashboard.
Examples
Example 1
$1,200 annual revenue x 80% margin x 3-year lifespan = $2,880 LTV.
Example 2
$1,500 annual revenue per account at an 80% gross margin over a 3-year average lifespan -> $3,600 LTV, supporting a CAC of up to about $1,200.
Why it matters
Customer lifetime value (LTV) is the total profit expected from a customer relationship and anchors acquisition spend, segmentation and retention investment. Comparing it to CAC reveals whether the business model works at a unit level. Overly optimistic lifespan or retention assumptions are the most common way LTV gets inflated.
Benchmark context
Judge it relative to CAC, targeting an LTV:CAC of 3:1 or better; the absolute value matters less than the ratio and the assumptions behind it.
Common pitfalls
Overly optimistic lifespan inflates LTV.
The complete guide
Understanding Customer Lifetime Value (LTV)
Customer lifetime value (LTV) is the total profit expected from a customer relationship and anchors acquisition spend, segmentation and retention investment. Comparing it to CAC reveals whether the business model works at a unit level. Overly optimistic lifespan or retention assumptions are the most common way LTV gets inflated. For context, judge it relative to CAC, targeting an LTV:CAC of 3:1 or better; the absolute value matters less than the ratio and the assumptions behind it. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Customer Lifetime Value (LTV) alongside CAC, LTV:CAC Ratio and Churn Rate; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.
Define the population behind the average, inspect the median and distribution for skew, and do not let a few extreme observations dictate the conclusion. Use a consistent customer and recurring-revenue definition, and separate new, expansion, contraction, reactivation and churn movements. Use customer cohorts and separate new, expansion, contraction and churn movements so that acquisition growth does not obscure the economics of the installed base. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.
Improvement normally comes from a combination of faster activation, stronger adoption, pricing and packaging discipline, expansion motions, and earlier intervention when customer behavior signals churn risk. Common pitfalls: overly optimistic lifespan inflates LTV. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.
Sources and further reading
- Essential SaaS metrics
Stripe Accessed
- Important SaaS KPIs to track
Paddle Accessed
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