Customer Lifetime Value (LTV)

What Customer Lifetime Value Measures

Math. LTV is the total gross profit one customer produces over the full arc of their tenure — every renewal, every upsell, minus the cost to serve. A SaaS customer paying $10,000 per year, with 80% gross margin and a five-year average tenure, has an LTV of $40,000. The number exists to answer one question: is the CAC we're paying actually defensible?

How LTV Is Calculated

The most-cited formula is also the most-abused.

LTV = (ARPA × Gross Margin %) / Churn Rate

ARPA is average revenue per account. Gross margin reflects the cost of delivering the service. Churn is the period-over-period rate at which customers cancel.

That last row is where the formula breaks. Companies with 110%+ NRR have LTV that mathematically approaches infinity, which is useless. Serious finance teams cap LTV at a finite horizon — five to seven years — or use a discounted cash flow model.

A Worked LTV Example

A B2B SaaS company sells $24,000 ACV with 78% gross margin. Annual logo churn is 8%. Naive LTV = ($24,000 × 0.78) / 0.08 = $234,000. They're spending $42,000 to acquire each customer. LTV-to-CAC is 5.6x. That's the storyline they tell investors.

But NRR is 95% — expansion isn't fully offsetting churn and contractions. Recalculate with net revenue churn instead of logo churn: ($24,000 × 0.78) / 0.05 = $374,000. That number assumes those expansion dynamics hold forever. They won't. Cap at a five-year horizon: LTV ≈ $90,000. Still a healthy 2.1x ratio — but a very different conversation than 5.6x.

The number you pick determines whether the next $5M goes to outbound or to product.

When Sales Orgs Use LTV

CFOs use LTV to defend or attack the marketing budget. Investors use it to value the company. Pricing teams use it to decide which customer segments deserve a discount versus which should get pushed to longer terms. RevOps uses LTV-by-segment to find ICP signal — if SMB customers have an LTV of $18,000 and Enterprise has $410,000, the answer to "where should sales focus" stops being a debate and starts being a memo.

Recruiters and senior IC reps quietly read LTV during diligence. A sales org with strong LTV-to-CAC but flat top-line is hiring. One with collapsing LTV-to-CAC is preparing for a RIF, regardless of what the careers page says.

Common LTV Gaming Patterns

LTV is the most-fabricated metric in the SaaS deck. The three exploits:

Cohort cherry-picking — using only the longest-tenured cohort (which by definition didn't churn) to estimate average tenure, ignoring that 40% of last year's customers are already gone. Gross margin fudging — counting hosting costs but not the customer success team that prevents churn, inflating margin by 15-20 points. Negative-churn extrapolation — running the formula with NRR > 100% and reporting LTV in the millions, which is mathematically real and commercially meaningless.

The cleanest version of LTV looks at actual cohort behavior over a defined window. What did customers from 2023 actually pay through 2025, minus actual cost to serve, rather than running averages through a formula. It's harder to compute and easier to defend in a board meeting.

LTV is a model output, not a fact. Anyone selling it as a single number is hiding the assumptions.