Hi @Lina ,

Thank you for writing in!

Churn Risk Prediction is the probability of a customer churning (i.e not purchasing from you again) 
The Churn Risk Prediction ranges from 0 to 1. As a customer places more orders, their Churn Risk goes down and as they place less orders, the Churn Risk goes up.

If a customer has a Churn Risk Prediction of 0.9, it means there is a 90% chance that they will not purchase from you again. And Vice Versa, if they have a Churn Risk Prediction of 0.1, it means there is only a 10% chance that they will not purchase from you again, meaning they are a great customer!

 Here is a great article that goes over the Predictive Analytics Section of a profile.

You can create and export your segments based on the Predictive Analytics.  And further use this data to target customers via Flows and Campaigns.

Hope this helps :) 

Thank you for your answer!

​@nikitavaidya 

Has the “Churn Risk Prediction” property been removed from the available properties available to use in segment definitions and CSV property exports? 

The article “How to segment by customer lifetime value (CLV)” states something that I don’t find to be true anymore which is:

“Exporting CLV data can allow you to further analyze and predict the behavior of different groups of customers. In addition to your CLV and predictive analytics values, you'll be able to export Churn Risk Prediction. Churn risk will be exported into your CSV as a number between 0 and 1.”

I see each profile shows me predictive analytics, including “Churn Risk prediction” which tells me that my client has enough data to determine predictive analytics. However, When I try to export a segment via CSV, there are no property options to select for export that has anything to do with “Churn Risk”. The only predictive properties I have options to select for export or in segment definitions are the following:

• Historic Customer Lifetime Value
• Historic Number Of Orders
• Average Order Value
• Average Days Between Orders
• Predicted Number Of Orders!-->
• Predicted Customer Lifetime Value!-->
• Expected Date Of Next Order
• Total Customer Lifetime Value
• Predicted Gender