How to calculate LTV
The base formula for e-commerce:
LTV = AOV × Purchase frequency per year × Average retention (years)
Example:
AOV = $70
Frequency = 4 purchases a year
Retention = 2.5 years
LTV = 70 × 4 × 2.5 = $700
An established business with data history uses a cohort calculation instead: take the cohort of a
first purchase and look at cumulative revenue at 12, 24 and 36 months. It is more accurate than the
formula.
LTV and unit economics
LTV is the key input for deciding what you can afford to pay to acquire a customer (CAC). If CAC is
$100 and LTV is $700, the LTV:CAC ratio is 7:1 — the business can invest aggressively in growth. If
LTV:CAC drops below 2:1, every acquired customer is a loss.
| Metric | Good | Warning sign |
|---|---|---|
| LTV:CAC | ≥ 3:1 | < 2:1 |
| CAC payback period | < 12 months | > 18 months |
| LTV of the top segment / average LTV | > 3× | < 1.5× |
How personalization affects LTV
LTV = AOV × frequency × retention. Personalization acts on all three multipliers:
- AOV — cross-sell and upsell recommendations raise the basket through complementary products
- Frequency — personalized triggers and retargeting bring customers back more often
- Retention — a relevant experience lowers churn: the customer finds what they need faster and leaves for a competitor less often
Tip: calculate LTV per segment (RFM cohorts), not only as an average. The top 20% of customers
often generate 60–80% of revenue — their LTV is the real economic ceiling for CAC.
The limits of the metric
LTV is a forecast, not a fact. The true retention period is unknown until the lifecycle ends. In
highly competitive markets, an LTV computed on historical data will systematically overstate the
number once retention starts to decline.