# Defining Churn the right way – Hacker Noon

### Breaking Down the Churn Definition

Churn for a business is defined as non completion of business/critical event by a user in a specified interval of time.

### Choosing the critical event for your business

The critical event to measure for your business lies at the intersection of what the Business wants to measure and what the Customer actually does on your platform

What the Business wants to Measure

Businesses want to measure an event which is directly correlated to revenue because in the end that is what matters for a business.

What does the Customer use your platform for

The customers use your platform to solve a certain need they have. The goal is to understand that event which makes users stay retained on the platform.

One way to find this out is, segmenting out users who have stayed on the platform for a long time to understand the kind of events which helps users stay retained on the platform.

#### Check list for good critical event

• Should be a good leading indicator for Churn
• Should be what most users want to perform on the platform

On a side note, knowing what most of your users do on your platform helps form interesting business models. For example, in case of Medium, Readers come on the platform to find well written content. Medium recently launched the Membership program to help users find curated content easily and at the same time made money out of it.

### How often you should expect your users to perform this event?

Would you expect most people

• to order food today and order again tomorrow? Maybe
• To order furniture today and order again tomorrow? Probably not
• To book a cab to work today and then book a cab to work again tomorrow? Probably yes

The Quantitative way of defining the Interval

1. Find the users who have completed critical event at least twice on your platform.
2. Find the Average number of days it takes for a user to complete a critical event
3. Plot a cumulative distribution curve between the Interval of days and the percentage of users who fall under the interval

The tradeoff is how you can capture most of your users who perform a critical event in the least number of days. A good rule of thumb is to find the interval where there is an inflection point in the curve

### Summing it Up

Now combining the critical event and the window, you would have your new Churn definition.

Some examples of Churn definitions:

• Customer Not Placing an order in 7 days for a Food delivery company
• Customer Not opening the app in 3 days for a Social Platform
• Customer Not finishing a lesson in 15 days for an Education Platform

This way of defining churn is just a start, the problems which still persist are:

1. The Churn definition is too rigid and might not be valid for all customer segments on your platform