Churned customers
Your churned customers cohort represents all customers that have taken the action that you define as a churn. Creating this cohort enables churn scoring predictions. Additionally, persona predictions can be used to analyze this cohort–to see if a particular persona has a higher churn rate, for example.
In this tutorial, we'll show you how to:
- Describe your Churned customers group formally using a cohort.
Let's dive in.
- You'll need a Faraday account — signup is free!
Confirm your data
Event streams
Unless you’ve already created it for another quickstart or purpose, you’ll need to add the following event stream to your account:
- Cancellation
What’s an event stream?
Predicting a certain customer behavior requires historical examples of customers exhibiting that behavior. Faraday works best when that data comes in the form of “events” — specific actions or occurrences that happened at specific times.
Formulating data this way helps you define cohorts more expressively.
For example, a Customers cohort could be defined as the group of people who have all experienced a Transaction event at least once.
For more, see our docs on Cohorts, Events, Traits, and Datasets (which define how events and traits emerge from your data).
To verify, use a GET /streams request. Your response should look like this:
[{
"name": "Cancellation",
"id": "$CANCELLATION_STREAM_ID"
, ...}]Make note of the IDs of the necessary streams.
If the required stream isn’t there, follow the instructions using this button, then return here to resume.
Create cohort
Create a churned customers cohort
Use a POST /cohorts request:
curl https://api.faraday.ai/cohorts --json '{
"name": "Churned customers",
"stream_name": "cancellation"
}'Your cohort will start building in the background. You can proceed immediately with the next set of instructions. When your cohort is done building, you’ll get an email.