InTrendz MediaSystem: nominal

Tool // Actuarial science / Proof that can’t be faked

LTV calculator: what is a customer worth month by month?

Customer lifetime value is the gross profit a customer brings over the months they stay, reduced for the chance they leave and for the time value of money. This calculator applies a survival curve from actuarial science to show value month by month and in total over five years.

Currency
Five-year LTV (gross profit)
$1,114
Expected lifetime
25.0 months
Still active after 12 months
61.3%
MonthCustomers still active (%)
Survival

How does the ltv and churn survival work?

Borrowed from Actuarial science: Survival curve with discounting

LTV=∑t=0T−1ARPA⋅m⋅(1−c)t(1+r)t\text{LTV} = \sum_{t=0}^{T-1} \frac{\text{ARPA}\cdot m\cdot(1-c)^{t}}{(1+r)^{t}}

Life insurers model the chance a person is still covered each year. Here the same survival idea applies to subscribers: with monthly churn c, the share still active after t months is (1 - c)^t.

Each month's gross profit is multiplied by that share and discounted to today's value, then summed over 60 months.

Worked example

A US SaaS product earns $80 a month per account at a 70% margin, with 4% monthly churn and a 10% annual discount rate. Expected lifetime is 25 months and the five-year LTV is about $1,114.

How should I read my result?

Churn above 5% a month

Customers leave within about 20 months. Fix onboarding and retention before scaling acquisition.

Churn 2% to 5%

Typical for small business software. Each point of churn removed lifts LTV noticeably.

Churn under 2%

Strong retention. You can afford a higher acquisition cost.

Embed this calculator

Add this calculator to your own page. The snippet includes a link back to the source.

Questions about ltv and churn survival

Why discount future profit?

Money received later is worth less than money received now, and later months carry more uncertainty.

What is a good LTV to CAC ratio?

A ratio near 3 to 1 is a common benchmark.

Is churn really constant?

Rarely. Churn is usually higher in early months, so use cohort data when you have it.

More from the Growth Lab

Related tools

All tools