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Identifying Churn Risk Sentiment

Modified on Mon, 16 Jun at 7:18 AM

Beyond explicit statements of wanting to cancel, our system analyzes various interactions to identify a broader "Churn Risk Sentiment." This means we look for patterns and indicators that suggest a customer might be at a higher risk of leaving, even if they haven't directly said so. This proactive approach allows us to intervene and address potential issues before they escalate to a cancellation.


Key Factors in Identifying Churn Risk Sentiment:

  • Negative Language: We analyze the tone and expressions of dissatisfaction in support interactions.
  • Severe Issues & Escalations: Frequent high-severity problems signal increased churn risk.
  • Low Engagement: Reduced interaction can indicate a higher likelihood of churn.
  • Slow Resolution: Lengthy case closure times contribute to negative sentiment.
  • Frequent Issues: A high number of problems, especially recurring ones, is a risk factor.


By considering these factors, we can identify at-risk customers and take proactive steps to improve their experience and prevent churns. 


Kindly refer to the following Knowledge Base articles for further information on:


How is churn risk detected and tagged ? : https://support.supportlogic.com/support/solutions/articles/73000613371-how-is-churn-risk-detected-and-tagged-


Does the Churn Risk Signal Affect the Customer Health Score? : 

https://support.supportlogic.com/support/solutions/articles/73000653196-does-the-churn-risk-signal-affect-the-customer-health-score-

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