How to Calculate Churn Rate in PostgreSQL

Learn how to calculate Churn Rate with your churned and total customers. We'll also cover industry averages for churn rate and how to find the metric on Stripe!

Optimizing churn rate is one of the best ways to know if your business can create loyal customers for a certain period. By definition, the churn rate is the rate at which customers stop doing business with an entity (thanks, Investopedia!). More specifically, we like to look at it as how long you were able to maintain the interest of your customers. While the metric seems simple on the surface, it gives valuable insights into areas of future growth and improvement. We'll take you through how to calculate this metric, how to understand it in the context of your industry, and how to apply it to the platforms you're using now.

How to Calculate Churn Rate

You can calculate the churn rate by dividing the number of churned customers by the total number of customers. Churn rate can be assessed for various time-periods (i.e. day, week, month, year) and, if your churn rate is tied to certain products or campaigns, you can assign a specific churn rate for each. 

If you’re confused about how to define the number of churned customers and total number of customers, we’ve included some nifty definitions and examples below:

There are also other ways of computing the churn rate of a business. The one above is the most basic way which can also be called customer churn. There is also gross dollar churn, which calculates the total revenues lost.

When choosing what to include in your calculations, remember: consistency is key! That means, if you decide to include XYZ in your churn rate for the month, you should include it in the next month’s churn rate as well. Having consistent metrics will allow you to better identify the causes of good or bad performance.

How to Calculate Metric in PostgreSQL

It can be difficult to calculate this metric in PostgreSQL, but we have a quick and easy solution, Read below to learn more and get started today.

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