Identify Potential Churn Risks
Identify Potential Churn Risks
Analyse customer data to spot early churn signs. Focus on usage, logins and support to identify at-risk customers.
How to use
Review customer data for the last 90 days. Look for drops in usage, login frequency, and increases in support interactions. Summarise findings in a table: Customer Name, Risk Factor, Notes.
Prompt
Review this customer usage data from the past 90 days. Identify any customers who may be at risk of churning based on usage drop, login frequency, or support interactions. Summarize the findings in a table with columns: Customer Name | Risk Factor | Notes.