Their AI watches customer behavior in real time and spots early signals of dissatisfaction. This means you can step in with personalized offers or support before customers cancel or leave, saving millions in lost revenue.

The tool uses previous customer data to make informed suggestions. It looks at data like sign up date, how long has it been since the last purchase, is their push notifications on, etc. The intelligent tool can also separate unrelated scenarios from churn metrics.

For example, if a telecommunication client hasn’t made any purchases or renewals for the next term; the tool checks for a good reason first. If it detects something, like if the customer was a tourist and only intended to use services for a certain period of time anyway, it will not be included in the churn metrics.