Summary  
This chapter demonstrates how to implement code that defines and uses variables like ARPU and retention rate, computes churn, and applies a simple arithmetic formula to calculate Customer Lifetime Value (LTV).  

General domain of usage  
Marketing analytics

Customer Lifetime Value (LTV) is the total revenue a business can expect from a single customer account throughout their relationship with the product.

Definition

Watch this video to see how Customer Lifetime Value (LTV) impacts real-world business decisions. You'll learn how companies use LTV to set marketing budgets, prioritize retention efforts, and evaluate the long-term value of different customer segments. The video walks through a step-by-step example of calculating LTV, explains why the metric matters for sustainable growth, and highlights common mistakes to avoid when interpreting LTV. Use the visual breakdown to reinforce your understanding and apply these concepts in your own product strategy.

Understanding **Customer Lifetime Value (LTV)** is essential for shaping your product strategy and making informed decisions about growth and marketing spend. **LTV** represents the predicted net profit attributed to the entire future relationship with a customer. By knowing how much revenue a typical customer will generate over their lifetime, you can better allocate resources, set acquisition budgets, and prioritize retention initiatives.

LTV is significant because it helps you determine how much you can afford to spend to acquire new customers, guides investment in customer retention, and informs decisions about product improvements that increase long-term engagement. If your cost to acquire a customer (**CAC**) is higher than your **LTV**, your business model is unsustainable. On the other hand, a high **LTV** allows for more aggressive marketing, better customer support, and increased investment in product development.

A common way to calculate **LTV** is to multiply the **average revenue per user (ARPU)** by the **average customer lifespan**. When using retention rate, you can estimate customer lifespan by dividing 1 by the churn rate. This formula helps you predict the revenue generated by a single user, which is crucial for evaluating the effectiveness of your growth strategies.

A product has a monthly ARPU of $30 and a monthly retention rate of 75%. Using the approach shown in the table above, what is the Customer Lifetime Value (LTV) for a typical user?

Master the essential product metrics and growth KPIs that drive successful digital products. Learn to distinguish between vanity and actionable metrics, analyze user growth, retention, and revenue, and apply real-world analytics frameworks to inform product strategy.

Establish a solid understanding of product metrics, their importance, and how to select the right KPIs for your product.

Dive into the metrics that track user acquisition, activation, engagement, and feature adoption.

Analyze user retention, churn, and the financial health of your product.

Build and analyze conversion funnels, track events, and leverage experimentation for product improvement.

Connect metrics to product strategy and apply frameworks to real-world scenarios.