What is CLV (Customer Lifetime Value)?
Customer lifetime value, often referred to as CLV, describes the total value a customer contributes throughout their entire relationship with your business. When working with CLV, you look at the customer’s entire journey from the first purchase to the last interaction, including repeat purchases, subscriptions, and cross-sales. In other words, CLV measures not only what the customer has purchased, but also what the customer is likely to purchase in the future.
CLV is therefore a forward-looking metric that helps you understand how much a customer is actually worth over time. It requires a combination of data on average revenue per customer, customer lifetime, and the percentage of customers who leave—the so-called churn rate. The longer customers stay and the more frequently they make purchases, the higher their CLV becomes. It’s a key metric often used across marketing, sales, and customer service because it brings together the perspective on the value of the customer journey in one place.
How do you use CLV?
You use CLV as a basis for decision-making when assessing how much you should invest in attracting and retaining customers. By knowing the value of an average customer, you can, for example, set a realistic cap on how much you’re willing to pay per conversion in your Google Ads campaigns, or determine which segments to prioritize in your social media advertising. This makes the metric particularly relevant when working with both performance marketing and strategy.
CLV also helps you identify which customers contribute the most to your company’s revenue, so you can target your communication and content more effectively. In content marketing, you’ll often find that a high CLV correlates with customers who engage with your content time and time again. You can use this insight to create more relevant and engaging content.
Why is CLV important?
CLV is important because it gives you a more long-term and profitable perspective on your customer base. Many companies focus on reducing CPA (Cost per Acquisition) but forget to measure how much a customer is actually worth in the long run. Once you know your average CLV, you can evaluate whether it makes more financial sense to optimize customer retention rather than ramp up new customer acquisition. It’s often cheaper to retain an existing customer than to attract a new one.
CLV also supports strategy development related to brand loyalty. In branding and digital design, you can use customer lifetime value as a benchmark for how effectively your brand succeeds in driving repeat purchases and building trust. A rising CLV over time is a sign of a healthy brand with high customer satisfaction, while a declining CLV often indicates that the experience or value proposition needs to be adjusted.
What types and varieties are available?
There are various ways to calculate CLV, but the basic idea is the same: to understand the customer’s overall financial value. You can use both historical and predictive CLV, depending on the data available and your objective.
- Historical CLV: Based solely on past purchases. It shows what customers have actually generated—useful if you're focusing on past performance.
- Predictive CLV: Uses algorithms or AI to estimate future purchasing patterns and value. This approach takes a more forward-looking view and allows you to plan your marketing based on expected behavior.
In addition, there are variations in the formula itself. The simplest version divides average revenue per user (ARPU) by the churn rate, while more comprehensive versions include gross profit and costs. The choice of method depends on whether you want a quick estimate or a more precise forecast based on margins.
How do you apply CLV in practice?
You can calculate CLV at various levels—from simple calculation models to advanced predictive calculations. You often start with a basic formula, where average revenue per customer is divided by the churn rate. But as you gather more data, you can integrate the calculation directly into your CRM or marketing automation system. This provides a dynamic view of what each customer group is worth over time.
Example of a simple calculation:
If the average customer generates 1,000 kr. in revenue per year and the churn rate is 20%, your CLV is 5,000 kr. (1,000 / 0.20). You can then compare this value to the cost of acquiring a customer to assess the profitability of your campaign.
CLV is closely tied to optimizing both SEO and paid advertising. If you know which keywords attract customers with a high CLV, you can prioritize your budget more effectively. Similarly, customer value data can help you create target audiences for social media marketing, where you use lookalike audiences based on your most valuable customers. CLV thus becomes not just a calculation, but a key strategic element in your overall marketing efforts.
What should you keep in mind?
The most important thing to remember when working with CLV is that the calculation is always based on assumptions. Expected lifetime, churn, and margin can change over time, so it’s a good idea to update the figures regularly. You also shouldn’t view CLV as an isolated KPI, but rather as an indicator that should be interpreted in conjunction with other key metrics such as CAC (Customer Acquisition Cost) and retention rate.
You should also pay attention to how CLV varies across customer groups. Segment your data so you can see differences between, for example, subscription customers and one-time customers, or between channels such as SEO and paid traffic. This will give you a more nuanced picture of where your marketing creates the most value.
Finally, you must use CLV data ethically. When working with predictive models and AI, you must ensure that you do not favor certain segments in a way that skews the customer experience. The goal is to use insights into customer lifetime value to deliver better, more relevant communications—not to limit who sees your messages.
