Define the rules that signals a users or accounts is at risk of churning. Rules can be made on pretty much any datapoint, including health score, feature adoption, open support tickets...
Criteria for churn risk are initially made by assumption and refined through feature and property analytics on those who actually churned.
Share churn detection with your marketing automation platforms, CRMs and support ticketing systems, so they all can act properly on it.
Changing the way you do business in the tools you already use.
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