Customer Lifetime Value (LTV)
Customer Lifetime Value (LTV) estimates the total revenue a customer generates over the entire duration of their relationship with your business. It helps SaaS teams understand how valuable a customer is and how much they can afford to spend to acquire and retain them.
What is Customer Lifetime Value?
LTV answers the question:
“How much revenue will one customer generate before they churn?”
In SaaS, LTV is usually modeled rather than measured exactly, since customer lifetimes are uncertain and evolve over time.
Quick definition:
LTV = expected total revenue from a customer over their lifetime
Why LTV matters
Growth economics: defines how much you can invest in acquisition
Pricing strategy: reveals whether pricing captures enough value
Customer quality: distinguishes high-value from low-value segments
Investor signal: key input for unit economics and valuation
LTV without CAC is just a number. Together, they define sustainability.
How to calculate LTV
There are multiple ways to calculate LTV depending on data maturity and business model.
Simple SaaS LTV formula
LTV = ARPA ÷ Customer churn rate
Where:
ARPA = average recurring revenue per account
Churn rate = churn per period (usually monthly)
Example calculation
| Metric | Value |
|---|---|
| ARPA (monthly) | €120 |
| Monthly customer churn | 3% |
| Estimated lifetime (1 ÷ churn) | 33.3 months |
| LTV | €3,996 |
This estimates how much revenue a typical customer generates before churning.
Gross vs contribution LTV
| Type | Includes | Use case |
|---|---|---|
| Gross LTV | Revenue only | Top-line comparisons |
| Contribution LTV | Revenue minus variable costs | True profitability analysis |
Contribution LTV is more accurate when infrastructure or support costs vary by customer.
LTV with expansion
For SaaS with strong expansion, LTV should include revenue growth from existing customers.
Expanded LTV model
LTV = (ARPA × Gross margin) ÷ Net churn rate
This reflects how expansion offsets churn over time.
What drives LTV up
Low customer churn
Strong expansion and upsells
High product adoption
Clear ROI for customers
Long contract durations
LTV growth is often driven more by retention than acquisition.
What drives LTV down
High early churn
Low activation or poor onboarding
Over-reliance on discounts
Weak differentiation
Short customer lifetimes
Small changes in churn have a massive impact on LTV.
LTV vs CAC
| Metric | Question |
|---|---|
| LTV | How much a customer is worth |
| CAC | How much it costs to acquire a customer |
LTV:CAC ratio
LTV:CAC = LTV ÷ CAC
| Ratio | Interpretation |
|---|---|
| < 1 | Losing money |
| 1–3 | Fragile economics |
| 3–5 | Healthy SaaS |
| 5+ | Strong efficiency |
How SaaS teams use LTV
Pricing validation
LTV helps validate whether pricing captures enough long-term value.
Segmentation
Comparing LTV by channel, plan, or cohort reveals which customers are worth doubling down on.
Growth planning
LTV defines safe CAC ceilings and informs expansion strategy.
Common pitfalls
Treating LTV as a precise number
Using blended churn instead of cohort churn
Ignoring gross margin
Applying the same LTV across all segments
Optimizing LTV without fixing churn
LTV is a model, not a fact — update it as data improves.
FAQ
Is LTV the same as total revenue per customer?
No. LTV is an estimate based on averages and assumptions, not a historical total.
Can LTV increase over time?
Yes. Improvements in retention, expansion, or pricing directly increase LTV.
Should LTV be calculated monthly or annually?
Monthly is more common for operational use; annual is often used for reporting.
Banyan AI note: LTV defines how valuable a customer can become. The real advantage comes from predicting which customers will reach that potential — and acting before churn cuts it short.
