Customer Lifetime Value Calculator: LTV and LTV to CAC Ratio for Your Business
Customer lifetime value is the single number that ties retention, pricing, and acquisition spend together into one metric a board can act on. Get it wrong and you either overspend on acquisition chasing customers who are not worth it, or underspend on retention because the payoff looks smaller than it is. This calculator uses the standard approximation, average margin per year divided by churn rate, to produce a defensible LTV and the LTV to CAC ratio that most executive teams and investors use as a first screen on unit economics. Use it before setting acquisition budgets or building a case for a retention or customer success investment.
Your numbers
Average annual contract value or annual spend per active customer.
Margin on that revenue after direct delivery and support cost.
Percentage of customers who renew each year. Lifetime is approximated as 1 divided by the churn rate.
Fully loaded sales and marketing cost to win one new customer.
Your results
Lifetime approximation (1 divided by churn rate) assumes constant churn over time. Cohort-based LTV models are more precise for volatile retention curves.
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Why LTV to CAC is the metric that gets asked about first
Almost every board deck, investor update, and executive planning session eventually lands on LTV to CAC because it answers one question directly: does the business make more from a customer than it spends to win them, and by how much margin of safety. A ratio below 1 to 1 means you lose money on every customer relationship. Below 3 to 1 usually signals the business cannot sustainably fund growth from its own economics without external capital. Above 5 to 1 sometimes means you are underinvesting in acquisition and leaving growth on the table.
- 3 to 1 or higher is the common healthy benchmark across B2B and SaaS
- Below 1 to 1 means each new customer is a cash loss on a unit basis
- The ratio should be reviewed by cohort, not just company-wide, since it hides variance
The lifetime approximation and its limits
Lifetime as 1 divided by the churn rate is a simplification that assumes constant, steady-state churn every year. It is the standard shorthand used across the industry because it requires only one input most companies already track, but it breaks down for businesses with strong early-tenure churn followed by high loyalty later, or the reverse. If your churn curve is not flat, build a cohort-based model that tracks actual retention at month 3, 6, 12, and 24 instead of relying on the single blended rate.
- Flat churn assumption works well for mature, stable customer bases
- New or fast-growing businesses should validate with cohort curves before trusting the shorthand
- Revisit the retention rate input quarterly as actual data accumulates
Using LTV to set acquisition and retention budgets
Once you know LTV, you can set a rational ceiling on acquisition spend per channel and a rational floor on retention investment. If LTV is $46,800 and current CAC is $5,000, there is real room to invest more aggressively in channels that are currently CAC-constrained, and equally real room to fund a customer success or renewal automation program that protects that lifetime value rather than treating it as fixed.
- Set channel-level CAC ceilings as a fraction of LTV, not an arbitrary marketing budget line
- Fund retention programs against the LTV at risk, not just this year's renewal revenue
- Reforecast LTV whenever pricing, margin, or retention assumptions materially change
Where the underlying data actually lives
ARPU and margin usually live cleanly in finance and billing systems. Retention rate is the input most companies struggle to pull cleanly because it is split across a CRM, a billing platform, and sometimes a separate customer success tool, none of which agree on the definition of an active customer. Netray connects these systems so retention, revenue, and margin can be queried and modeled from one place instead of reconciled by hand every quarter.
- Define active customer consistently across CRM, billing, and support before trusting the number
- Automate the retention rate calculation rather than recomputing it manually each quarter
- Pair this model with churn cost analysis to see both sides of the same problem
Frequently Asked Questions
What LTV to CAC ratio is considered good?
3 to 1 is the most commonly cited healthy benchmark for B2B and SaaS businesses, meaning a customer generates three times what it cost to acquire them over their lifetime. Below 1 to 1 signals a structurally unprofitable acquisition model. Ratios well above 5 to 1 can indicate a business is being too conservative with acquisition spend relative to the value each customer generates.
Why is lifetime calculated as 1 divided by churn rate?
It is a geometric series approximation: if a constant percentage of customers churns each year, the expected total tenure converges to 1 divided by the annual churn rate. At 15% churn, expected lifetime is about 6.7 years. It is a simplification that assumes steady-state churn, so businesses with sharply changing retention curves should validate it against actual cohort data.
Should CAC include only marketing spend or also sales cost?
Fully loaded CAC should include sales salaries, commissions, marketing spend, tools, and a reasonable share of overhead attributable to new customer acquisition, divided by new customers won in the same period. Using marketing spend alone significantly understates true acquisition cost and inflates the LTV to CAC ratio in a way that misleads planning decisions.
How often should LTV be recalculated?
Quarterly is a reasonable cadence for most B2B businesses, or immediately after a material change in pricing, packaging, or observed retention. Because LTV compounds small changes in margin and retention into large changes in the final number, stale inputs can materially mislead acquisition and retention budget decisions if left unreviewed for a year or more.
Get a full LTV and CAC model built from your actual billing and CRM data with a Netray architect.
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