Churn Risk Analysis
Automatic translation. View original
Feature in experimental mode
In CRM you will find a tag learn-churn-risk that identifies students Learn considers to be at risk of dropping out.
Items considered in the analysis
To calculate the risk of a student dropping out, Learn considers the following items.
a) Decrease in average participation
We consider a student at risk of churn if during the last 3 weeks, the average weekly check-ins (of any kind) is 50% lower than the average of the last 13 weeks
b) Increase in last-minute cancellations
For this analysis, we consider any cancellations made less than 3 hours before class and no-shows.
as last-minute cancellations. We consider a student at risk of churn if the last-minute cancellation rate during the last 3 weeks is 50% higher than that of the last 13 weeks.
c) Absence
We consider a student at risk of churn if their last live check-in was more than 14 days ago AND their last on-demand check-in was more than 10 days ago.
d) Non-payment
If the student's access is regulated by a subscription, we consider a student at risk if their payment is about to fail or has failed.
Frequency of the analysis
The analysis is performed every Sunday on users who have made a check-in or cancellation during the week and on users who, while enabled, have not checked-in for more than 10 days.