Abstract: According to one embodiment of the present invention, a method for predicting customer churn is provided. The method may comprise receiving a sequence of system events in a system log, wherein the system log is associated with a customer storage system. The method may further comprise dividing the sequence of events into a plurality of consecutive time frames. The method may further comprise assigning a state to each time frame of the plurality of consecutive time frames, wherein the state indicates a likelihood of a customer associated with the customer storage system to engage in a churn event. The method may further comprise determining whether the customer is likely to engage in the churn event based on the state of one or more time frames. The method may further comprise transmitting an alert, responsive to determining that the customer is likely to engage in the churn event.