Include the full acquisition cost
Consider media, tools, agencies, sales compensation, and relevant team cost rather than ad spend alone.
Unit economics tool
Estimate acquisition efficiency and customer value using one consistent cohort, margin definition, and time period.
Compare cohorts and channels separately; blended averages can hide expensive or low-retention segments.
How to use this tool
CAC divides acquisition-related sales and marketing cost by new paying customers. This simplified LTV model divides monthly gross profit per customer by monthly customer churn. The LTV:CAC ratio compares estimated gross profit over the customer life with acquisition cost.
The result can be misleading when cohorts are young, churn is unstable, expansion matters, acquisition attribution is incomplete, or service costs are excluded. Use the same definitions over time and compare actual cohorts by channel and segment.
Method and interpretation
Consider media, tools, agencies, sales compensation, and relevant team cost rather than ad spend alone.
Revenue is not customer value to the company. Deduct direct cost through the gross-margin input.
Track retention and contribution over time. A formula is a shortcut until enough customer history exists.
Useful applications
Revisit the calculation when assumptions or evidence change. Keep the inputs with the result so another founder or adviser can understand the reasoning.
Questions and limitations
Benchmarks vary by business model, stage, capital cost, payback, and data quality. A higher ratio can indicate room to invest or underinvestment, while a low ratio can signal weak retention, margin, pricing, or acquisition efficiency.
For a complete economic view, allocate relevant sales and marketing labour even when founders initially take little salary. Otherwise early CAC may look artificially low.
A perpetual LTV result is not credible. Use a conservative minimum churn assumption or a finite observed customer lifetime until enough history exists.
It can provide a rough repeat-purchase estimate if ARPU and churn represent customer behaviour, but a cohort contribution model is usually more appropriate for transactional businesses.
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