Now that you've got customers onboarded and experiencing the value of your SaaS, the real work of keeping them happy and engaged begins. This is where customer retention and loyalty come into play. To effectively drive these crucial aspects of your business, you need to understand how to measure and track them. This section will equip you with the key metrics and methods to do just that.
The foundation of retention measurement is understanding how long customers stick around. The most fundamental metric here is Customer Lifetime Value (CLV). CLV is an estimate of the total revenue a customer will generate for your business throughout their relationship with you. A higher CLV indicates that customers are not only staying longer but also spending more over time.
CLV = (Average Purchase Value * Average Purchase Frequency Rate) * Average Customer LifespanClosely related to CLV is Customer Churn Rate. This metric tells you the percentage of customers who stop using your service over a given period. A high churn rate is a significant red flag and needs immediate attention. Conversely, a low churn rate signifies strong customer retention.
Customer Churn Rate = (Number of Customers Lost During Period / Number of Customers at the Beginning of Period) * 100To understand churn better, it's crucial to differentiate between customer churn and revenue churn. While customer churn focuses on the number of accounts lost, revenue churn focuses on the lost revenue from those accounts. This distinction is important because losing a high-value customer can have a much larger impact than losing several low-value ones.
Revenue Churn Rate = (Revenue Lost from Churned Customers During Period / Revenue at the Beginning of Period) * 100Beyond just staying, you want to know if your customers are actively using your product. This is where Product Engagement Metrics come in. Key indicators include Daily Active Users (DAU) and Monthly Active Users (MAU), which show how many unique users are interacting with your product on a daily and monthly basis. The DAU/MAU ratio, often called 'stickiness,' reveals how consistently users return.