In Natero, there are two methods used to trigger those alerts - 1) Rule-based systems and 2) Predictive analytics.
The rule-based system is a simple way to get started that relies on your intuition as to what patterns or behavior to track for your customers. For example, you may create a rule that says, “If a customer hasn’t logged in during the past 30 days, send a Churn alert”.
Rule-based alerts can be easily configured and changed. Specify customer attributes and behavior that you want to track, and we'll let you know when a customer matches those criteria.
Predictive analytics leverages Natero's state-of-the-art machine learning algorithm that recognizes hidden signals within vast amounts of behavioral data and other data to proactively alert you to customers at-risk, as well as those that represent sales opportunities.
The predictive models are continuously updated as data comes in, automatically improving in accuracy and adjusting for changes in customer behavior - with no effort required from you.
Learn more about how to configure rule-based alerts.
Learn more about the difference between rule-based alerts and predictive alerts.