How do you track churn signals before customers actually leave?

Question

Working on a telecom client and trying to catch at-risk customers earlier. Curious what signals or methods others have used that actually worked.

Related reading:Inside the Energy Transition: A Conversation with a Leading Energy Market Research StrategistHow to Conduct Rigorous Market Segmentation Research in the Machinery and Equipment Sector

Sarah Mitchell · Answer

For telecom specifically, dropping usage patterns (data, calls, SMS) and a spike in support contacts are your earliest warning signs — usually 60-90 days before cancellation. We layered those behavioral signals with NPS dip detection and it caught about 70% of churners before they made the call. Tools like Mixpanel or even a basic SQL query on your CRM can flag these without needing anything fancy.

How do you track churn signals before customers actually leave?

1 Answer

Your Answer

Related Content