Customer churn is a costly toll on businesses. It’s not simply the lost revenue to consider, but also the added marketing expenses needed to rectify the loss. Retaining customers has historically been a lagging business indicator—it’s only after businesses lost customers that they could assess what went wrong—but with increasing access to data, several companies have developed predictive churn analysis capabilities to identify at-risk customers and proactively prevent them from leaving.