Marketing & Growth

Customer Lifetime Value LTV

CMO CFO VP Marketing Director Marketing

Customer Lifetime Value (LTV) estimates the total net revenue a business expects to generate from a single customer relationship over its entire duration. It accounts for average purchase value, purchase frequency, gross margin, and expected customer lifespan or retention rate. LTV is the foundational metric for understanding how much a company can profitably spend to acquire a customer.

Predictive LTV models that incorporate behavioral signals can identify high-value cohorts early, enabling more precise acquisition targeting.

Formula

Average Revenue Per Account × Gross Margin % ÷ Churn Rate

Where It Lives

StripeRevenue per customer and subscription history
SalesforceAccount-level revenue and renewal data
MixpanelBehavioral cohort analysis for retention modeling
LookerCustom LTV cohort reporting

What Drives It

Customer churn rate
Expansion revenue and upsell rates
Gross margin per customer
Average contract or order value
Product engagement depth correlated with retention

Benchmark

An LTV:CAC ratio of 3:1 or higher is the widely cited SaaS benchmark; e-commerce businesses typically target LTV of at least 3× AOV.

Common Questions About Customer Lifetime Value

What is the simplest way to calculate LTV?

The most common SaaS formula is: LTV = (Average Monthly Recurring Revenue per customer × Gross Margin %) ÷ Monthly Churn Rate. For e-commerce, LTV = Average Order Value × Purchase Frequency × Customer Lifespan. Both formulas are approximations; more sophisticated models use cohort-level survival analysis.

Should LTV be calculated at the segment or cohort level?

Aggregate LTV is useful for high-level financial planning, but segment-level and cohort-level LTV is far more actionable. Customers acquired through different channels, in different industries, or at different price points often have dramatically different lifetime values. Blending them obscures where the real value lies.

How does churn rate affect LTV?

LTV is inversely exponential to churn. A business with 2% monthly churn has an average customer lifespan of 50 months, while one with 5% monthly churn has only 20 months. Small improvements in churn rate compound dramatically into LTV gains, often more efficiently than increasing average order value.

What is the difference between historical and predictive LTV?

Historical LTV looks backward at what customers have already spent; predictive LTV uses behavioral and demographic signals to forecast what a customer is likely to spend in the future. Predictive LTV is more useful for real-time acquisition decisions, while historical LTV validates financial models.

Related Metrics

CAC | Customer Acquisition Cost LTV:CAC | LTV:CAC Ratio Churn Rate | Churn Rate NRR | Net Revenue Retention

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