Customer Lifetime Value to Customer Acquisition Cost Ratio (also known as the CLV:CAC Ratio or LTV:CAC Ratio) is a powerful metric used to measure the relationship between the total value a company expects to generate from a single customer and the cost of acquiring that customer. Think of it as a company's report card on its own profitability and sales efficiency. In essence, it answers the crucial question: “For every dollar we spend to win a new customer, how many dollars of value will that customer bring us over their entire relationship with our business?” This ratio is particularly beloved by investors analyzing companies with recurring revenue streams, such as SaaS (Software-as-a-Service) businesses, subscription services, or any company that relies on long-term customer relationships rather than one-off sales. A healthy ratio signals a sustainable business model and an effective growth engine.
For the value investor, who loves to peek under the hood of a business, the CLV:CAC ratio is a diagnostic tool of immense value. It cuts through the noise of daily stock price fluctuations and gets to the heart of a company's long-term viability. A company that consistently generates a high return on its customer acquisition spending is not just profitable; it’s building a fortress. This ratio provides a clear window into a company's economic engine. A strong and stable CLV:CAC ratio can be a quantitative indicator of a durable competitive advantage, or moat. It suggests the company has something special—be it a superior product, a sticky ecosystem, or exceptional brand loyalty—that allows it to acquire customers affordably and keep them for a long time. It helps an investor gauge the quality of a company's growth, separating the sustainable growers from the “growth-at-all-costs” cash burners.
To understand the ratio, you first need to understand its two key ingredients: Customer Lifetime Value (CLV) and Customer Acquisition Cost (CAC).
CLV is a prediction of the total net profit a company will make from a customer throughout their entire relationship. While there are simple ways to estimate it, a more robust formula used by professionals is: CLV = (Average Revenue Per User (ARPU) x Gross Margin %) / Churn Rate
CAC is the total cost of convincing a potential customer to become an actual customer. It’s a straightforward calculation: CAC = Total Sales and Marketing Costs / Number of New Customers Acquired Remember to be thorough here. “Total Sales and Marketing Costs” should include everything: advertising spend, salaries and commissions for the sales and marketing teams, content creation costs, and any related software subscriptions or overhead in a specific period (e.g., a quarter or a year).
Once you have both figures, the ratio itself is simple: CLV:CAC Ratio = CLV / CAC For example, if a company's CLV is €3,000 and its CAC is €1,000, its CLV:CAC ratio is 3:1.
The resulting ratio tells a story. Here’s how to read it:
A ratio of 3:1 or higher is widely considered healthy and sustainable. It means that for every dollar or euro invested in acquiring a customer, the company gets three or more back in lifetime value. This signals a strong return on investment, a solid business model, and ample fuel for future growth. Companies in this range are effectively turning their marketing dollars into long-term profit.
A 1:1 ratio is a yellow flag. It means the company is essentially breaking even on its customers—the money it spends to get them is equal to the money they bring in. While a young startup might temporarily operate here to gain market share, it's not a viable long-term strategy. The company is treading water and has no profit from its new customers to reinvest in product development or further growth.
A ratio below 1:1 is a flashing red light. The company is actively losing money on every new customer it brings on board. This is a fundamentally broken economic model. Unless management has a clear and credible plan to dramatically increase CLV or slash CAC, the company is on an unsustainable path.
Before you stake your capital on this one metric, use it as part of a broader analysis.