Customer lifetime value, or LTV, estimates how much revenue a typical customer is expected to generate over the full duration of the relationship. For SaaS teams, it is one of the most useful unit-economics signals because it connects pricing, retention, and acquisition efficiency. This calculator uses a simple monthly-revenue model: if you know your average revenue per customer per month and the average number of months they stay, you can estimate lifetime revenue per customer.
Because this is a simplified estimate, it is most reliable when ARPU and retention are relatively stable. If you use annual billing, discounts, expansions, or contractions, you may need to normalize your inputs first so the result reflects a consistent monthly basis.
How This Calculator Works
The calculator multiplies ARPU by average customer lifetime in months. The result is an estimate of the total revenue attributable to one customer across their expected relationship with your business. In practice, this helps you understand how much value a customer can produce before considering acquisition cost, support cost, and gross margin.
The logic is intentionally straightforward: if a customer pays the same amount each month and remains active for a certain number of months, lifetime revenue is the monthly amount times the duration. If your revenue changes materially over time, treat the output as an approximation rather than a precise forecast.
Formula
LTV = ARPU × Average Customer Lifetime
Where:
| Variable | Meaning | Unit |
|---|---|---|
| LTV | Customer lifetime value, or estimated total revenue per customer | Currency |
| ARPU | Average revenue per user or customer per month | Currency per month |
| Average Customer Lifetime | Average time a customer remains active | Months |
If your average customer lifetime is derived from churn, a common approximation is:
Average Customer Lifetime = 1 / Churn Rate
Use that relationship only when churn is measured on the same time basis and is reasonably stable.
Example Calculation
- Set ARPU to $50 per month.
- Set average customer lifetime to 24 months.
- Multiply the two values: $50 × 24.
- The estimated LTV = $1,200.
This means a typical customer is expected to generate about $1,200 in revenue over their lifetime, assuming revenue per month and retention stay close to your inputs.
Where This Calculator Is Commonly Used
- SaaS pricing and packaging analysis
- Marketing budget planning and channel evaluation
- Customer acquisition cost benchmarking
- Retention and churn strategy reviews
- Revenue forecasting and cohort analysis
- Investor reporting and growth-model validation
How to Interpret the Results
A higher LTV usually indicates stronger retention, better monetization, or both. On its own, however, LTV does not tell you whether growth is profitable. It becomes most useful when compared with acquisition cost, payback period, gross margin, and churn. If your LTV is rising because of price increases but churn is also increasing, the net effect may be weaker than the number suggests.
Use the result as a directional benchmark. If the value seems too high or too low, check whether your inputs are on the same time basis, whether discounts are included, and whether ARPU reflects active paying customers only.
Frequently Asked Questions
What is customer lifetime value?
Customer lifetime value, or LTV, is an estimate of how much revenue a typical customer will generate over the full relationship with your business. In SaaS, it is often used to compare the long-term value of customers against acquisition cost and retention performance.
Why does this calculator use monthly ARPU?
Monthly ARPU keeps the calculation consistent with monthly customer lifetime assumptions. Using the same time unit for both inputs reduces errors and makes the result easier to compare across SaaS metrics like MRR, churn, and payback period.
Can I use annual billing in this calculator?
You can, but only if you normalize the inputs first. Convert annual revenue to a monthly equivalent before entering ARPU, and make sure lifetime is still measured in months. Mixing annual and monthly units will distort the result.
Is LTV the same as profit?
No. This calculator estimates revenue per customer, not profit. To estimate profit-based lifetime value, you would need to account for gross margin, serving costs, and possibly support or onboarding expenses.
How does churn affect LTV?
Higher churn shortens average customer lifetime, which lowers LTV. If churn improves and ARPU stays stable, LTV typically increases because customers remain active for longer and generate more monthly revenue.
What is a common mistake when using LTV?
A frequent mistake is mixing incompatible units, such as annual revenue with monthly lifetime. Another common issue is using an ARPU figure that includes inactive customers or unusually promotional pricing, which can make the estimate misleading.
FAQ
What is customer lifetime value?
Customer lifetime value, or LTV, is an estimate of how much revenue a typical customer will generate over the full relationship with your business. In SaaS, it is often used to compare the long-term value of customers against acquisition cost and retention performance.
Why does this calculator use monthly ARPU?
Monthly ARPU keeps the calculation consistent with monthly customer lifetime assumptions. Using the same time unit for both inputs reduces errors and makes the result easier to compare across SaaS metrics like MRR, churn, and payback period.
Can I use annual billing in this calculator?
You can, but only if you normalize the inputs first. Convert annual revenue to a monthly equivalent before entering ARPU, and make sure lifetime is still measured in months. Mixing annual and monthly units will distort the result.
Is LTV the same as profit?
No. This calculator estimates revenue per customer, not profit. To estimate profit-based lifetime value, you would need to account for gross margin, serving costs, and possibly support or onboarding expenses.
How does churn affect LTV?
Higher churn shortens average customer lifetime, which lowers LTV. If churn improves and ARPU stays stable, LTV typically increases because customers remain active for longer and generate more monthly revenue.
What is a common mistake when using LTV?
A frequent mistake is mixing incompatible units, such as annual revenue with monthly lifetime. Another common issue is using an ARPU figure that includes inactive customers or unusually promotional pricing, which can make the estimate misleading.