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Unit economics metric

LTV:CAC Ratio

The LTV:CAC ratio compares how much a customer is worth (LTV) against what they cost to acquire (CAC). It is the single most-cited unit-economics metric in SaaS investing and operating. Indie SaaS targets are typically 3:1 (healthy) to 5:1 (excellent); below 1:1 is unsustainable.

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Formula

LTV:CAC = LTV / CAC, expressed as a ratio (e.g. 3:1)

Where:

  • LTV = Lifetime value (gross-profit version is more meaningful for this ratio).
  • CAC = Customer acquisition cost over the same period (blended CAC for business-wide ratio).

Worked example

LTV (gross profit) is $833. CAC is $84. LTV:CAC = $833 / $84 = 9.9:1. That is excellent — most healthy SaaS sits 3:1 to 5:1.

What it tells you

  • The fundamental health of the acquisition engine. A 3:1+ ratio supports growth investment; below 1:1 is unsustainable.
  • Whether to spend more on acquisition or fix retention first. Low LTV:CAC due to high CAC vs. low LTV requires different fixes.
  • Investor-grade health signal. Pitch decks lead with LTV:CAC for a reason.

What it does NOT tell you

  • Payback period. A 5:1 LTV:CAC with a 36-month payback is harder to operate than 3:1 with a 6-month payback.
  • Sample size. Calculated on 5 customers, the ratio is noise. Need 50+ customers and 6+ months of churn data.
  • Mix shift. Different cohorts can have wildly different ratios; the blended number can mask important differences.

Common miscalculations

  • Using revenue-LTV against ad-only CAC. Either both numbers are revenue-based or both are gross-profit-based; mixing inflates the ratio.
  • Calculating against low-churn LTV. If churn is under 1%, LTV is unreliable, so the ratio is unreliable.
  • Ignoring payback period. A 5:1 ratio over 36 months is not the same as 3:1 over 6 months.

See the directional range on the customer lifetime value (LTV) benchmark page →

Frequently asked

What if my LTV:CAC is 10:1+?
Either you are under-investing in growth and could spend more on acquisition, or your LTV is overstated (often due to low-sample churn calculation). Investigate before celebrating.

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