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Customer Lifetime Value (LTV): Predicting Future Customer Profit

AI-drafted, machine-checkedSource: Wikipedia: Customer lifetime valueintermediate

LTV predicts the total net profit a customer will generate over their entire relationship with you. It guides how much to spend on acquiring customers (CAC) and helps identify your most valuable segments. The footgun: LTV is profit, not revenue.

WHY IT EXISTS Businesses need a way to measure the long-term worth of a customer beyond their first purchase. This helps make strategic decisions about spending and marketing that are not just focused on short-term gains. It answers the question: "How much is a new customer really worth to us over time?"

THE MENTAL MODEL Think of LTV not as a bank account balance, but as a weather forecast for future customer profitability. It's an educated guess, not a guarantee. The model's purpose is to estimate the total net profit a customer will contribute throughout their entire relationship with the business, guiding investment in acquisition and retention.

HOW IT WORKS LTV is a prediction model, not a single fixed formula. Its sophistication can range from a simple heuristic to complex predictive analytics. A basic approach might multiply average profit per purchase by the expected number of purchases. Advanced models use historical data and machine learning to forecast future behavior, churn risk, and costs for different customer segments. The constant is that it always estimates future net profit, not gross revenue.

WHEN TO USE IT Use LTV to guide strategic spending. The most common application is comparing it to Customer Acquisition Cost (CAC); a healthy business requires an LTV significantly higher than its CAC. It is also critical for segmenting your customer base to identify high-value cohorts who might deserve special offers or premium support, and for forecasting future company revenue.

WHEN NOT TO USE IT Do not use LTV as a precise, deterministic figure for financial accounting. It is a predictive metric, and its accuracy depends entirely on the quality of the model and data. For very new businesses with little customer history, any LTV calculation is highly speculative and should be treated with extreme caution. It is a strategic guide, not an accounting tool.

ONE CANONICAL EXAMPLE A subscription service charges 100/month. The cost to serve each customer (support, infrastructure) is 20/month, making the net profit 80/month. If the average customer stays subscribed for 30 months, a simple LTV calculation is 80/month * 30 months = 2400. This tells the business it can sustainably spend up to 2400 to acquire a similar customer.

Read the original → en.wikipedia.org

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