Sign in

Blog · Finance metrics and formulas · SaaS

LTV to CAC ratio: formula, what's good, and why 3:1 can mislead

The LTV to CAC ratio divides a customer's lifetime gross profit by the cost of winning them. This page gives the formula, works three segments with CAC payback in months, shows why a blended ratio hides the segment below 3:1, and caps the lifetime so a low churn rate cannot turn into a ten-year customer.

The short answerThe LTV to CAC ratio compares what a customer is worth over their lifetime with what it cost to win them: LTV:CAC = LTV / CAC, where LTV = monthly revenue per account x gross margin % / monthly churn rate, and CAC = sales and marketing spend / new customers won. Around 3:1 is the common benchmark; below 1:1 each new customer loses money.

LTV:CAC, the LTV to CAC ratio, divides a customer's lifetime gross profit by what it cost to win them. A mid-market account worth $45,000 of lifetime gross profit that cost $15,000 to acquire has a ratio of 3.0, the common SaaS benchmark. Below 1.0 every new customer loses money; above 3.0, check that the lifetime behind the LTV is believable.

The formula

LTV = Monthly revenue per account × Gross margin % / Monthly churn rate

CAC = Sales and marketing spend / New customers won

LTV:CAC = LTV / CAC

Each half has its own page: how to calculate LTV covers the lifetime value inputs and customer acquisition cost what belongs in the spend. This page uses their figures and puts the two together.

The rows you need

One row per segment (or channel, or cohort), all for the same period:

Column Content Source
B Monthly revenue per account Billing export
C Gross margin % P&L: revenue less cost of revenue
D Monthly customer churn Accounts lost / accounts at the start of the month
E Sales and marketing spend, fully loaded P&L, by segment
F New customers won CRM, first contracts only

Worked: three segments

One SaaS company, monthly figures in USD. Revenue per account, margin and churn are the three segments from how to calculate LTV; the SMB and mid-market CACs of 4,000 and 15,000 are the ones used there, and enterprise is added at 70,000. Spend and wins are for one quarter.

Segment Revenue per account Gross margin Monthly churn LTV Spend New customers CAC LTV:CAC
SMB 400 70% 3.0% 9,333 120,000 30 4,000 2.3
Mid-market 900 75% 1.5% 45,000 210,000 14 15,000 3.0
Enterprise 3,500 80% 0.8% 350,000 280,000 4 70,000 5.0

Mid-market step by step: 900 × 0.75 = 675 of gross profit a month; 675 / 0.015 = 45,000 of LTV. CAC is 210,000 / 14 = 15,000. The ratio is 45,000 / 15,000 = 3.0. In Excel, with columns as above:

=B2*C2/D2          LTV
=E2/F2             CAC
=(B2*C2/D2)/(E2/F2) LTV:CAC

The check: the blended ratio and what it hides

Put the three segments together and the ratio of totals must equal lifetime value won over spend:

Segment New customers LTV New customers × LTV Spend
SMB 30 9,333 280,000 120,000
Mid-market 14 45,000 630,000 210,000
Enterprise 4 350,000 1,400,000 280,000
Total 48 2,310,000 610,000

Blended CAC is 610,000 / 48 = 12,708, a figure that describes no segment. Blended LTV is 2,310,000 / 48 = 48,125, and the blended ratio is 48,125 / 12,708 = 2,310,000 / 610,000 = 3.8. It looks comfortable, and it is carried by four enterprise wins. SMB, with 30 of the 48 new customers, returns 2.3.

CAC payback in months

CAC payback (months) = CAC / (Monthly revenue per account × Gross margin %)

Segment CAC Gross profit per month Payback (months)
SMB 4,000 280 14.3
Mid-market 15,000 675 22.2
Enterprise 70,000 2,800 25.0

In Excel: =E2/F2/(B2*C2). Enterprise has the best ratio and the slowest payback: two years of gross profit before the account has repaid what it cost. The ratio says whether the money comes back; payback says how long the cash is out.

Where 3:1 comes from, and when it misleads

The 3:1 benchmark comes from SaaS metrics writing, chiefly David Skok's SaaS Metrics 2.0, which says "the best SaaS businesses have a LTV to CAC ratio that is higher than 3, sometimes as high as 7 or 8", and pairs it with recovering CAC in under 12 months. Two caveats from his own definitions page: the 3 was set on an LTV without a gross margin adjustment, assuming margins of 80% or more, so on gross-profit LTV as here it is a stricter bar; and for enterprise and land-and-expand businesses, "Months to recover CAC can be around 20 months, and the model works fine." Treat both as rules of thumb.

The ratio misleads when churn is low. LTV divides by churn, so the implied lifetime is 1 / churn: 33 months for SMB, 67 for mid-market and 125 for enterprise. A 0.8% monthly churn rate claims a ten-year customer, and most of the enterprise LTV sits in years six to ten, which the company has not yet observed.

Cap the lifetime

Count only the gross profit expected in the first 60 months. Two ways to cap:

Simple cap = Monthly gross profit × MIN(60, 1 / churn)

Expected gross profit in 60 months = Monthly gross profit × (1 − (1 − churn)^60) / churn

The second, used in how to calculate LTV, also allows for customers who leave inside the five years. In Excel: =MIN(60,1/D2)*B2*C2 and =B2*C2*(1-(1-D2)^60)/D2.

Segment Uncapped LTV Ratio Simple cap Ratio Expected in 60 months Ratio
SMB 9,333 2.3 9,333 2.3 7,832 2.0
Mid-market 45,000 3.0 40,500 2.7 26,829 1.8
Enterprise 350,000 5.0 168,000 2.4 133,843 1.9

Capped, enterprise falls from 5.0 to 2.4 on the simple cap and 1.9 on expected gross profit, and the ranking of the segments changes. The segment that looked best uncapped is no better than the others once the lifetime is limited to what five years can deliver.

By cohort and by channel

A segment ratio is still an average. Churn measured by signup cohort, from a cohort retention table, shows whether recent customers leave faster than old ones, and CAC split by channel shows which channel buys the short-lived customers. Expansion matters too: an account that grows is worth more than flat revenue per account says, which gross retention and net retention measures.

Where it goes wrong

  • LTV on revenue. Mid-market revenue LTV is 900 / 0.015 = 60,000, a ratio of 4.0 instead of 3.0: inflated by 1 / gross margin.
  • One blended ratio. 3.8 across the company, 2.3 in the segment that wins most customers.
  • CAC on media spend only. Leaving out salaries, commissions, tools and agency fees can leave out most of the cost.
  • Spend and wins from the same month. With a six-month sales cycle, this quarter's wins came from earlier spend; lag the spend or use rolling twelve-month totals.
  • Uncapped lifetime. A 0.8% monthly churn rate implies a ten-year customer.

From ratio to accounts

The ratio is only as good as the churn and margin behind it. Covirage's tools compute churn, retention by cohort and expansion from your billing or invoice export, so LTV rests on observed behavior per segment; the external AI model explains the result and never does the arithmetic. See Covirage for SaaS sales teams. For the per-customer economics behind the ratio, see unit economics, and for the company-level tests, see the Rule of 40 and burn rate.

Questions people ask

What is a good LTV to CAC ratio?

Around 3:1 is the widely quoted benchmark for SaaS: a customer returns three times what it cost to win. Below 1:1 each new customer destroys value. Read it with CAC payback, because a 3:1 ratio that takes four years to pay back ties up a lot of cash.

Can LTV:CAC be too high?

Yes, in the sense that a very high ratio can mean the company is under-investing in acquisition and growing more slowly than it could. It can also mean the lifetime assumption is too generous; check it with a cap.

How do you calculate CAC payback period?

Divide CAC by the monthly gross profit from one customer: monthly revenue per account times gross margin. A CAC of 4,000 on 400 a month at a 70% margin pays back in 4,000 / 280 = 14.3 months.

Should LTV use revenue or gross margin?

Gross margin. The cost of delivering the service is not available to repay acquisition cost. Revenue-based LTV overstates the ratio, most of all for low-margin products.