customer-retention-intelligence

You can analyze support chats for churn risk by processing conversation threads to compute CSAT, frustration, and escalation risk metrics. The analysis applies deterministic scoring rules to output structured reports and concrete next steps for retention.

Evaluating agent performance from support tickets involves assessing communication quality and scoring response metrics across customer conversations. This process generates actionable next steps for resolution and highlights areas for agent improvement based on deterministic scoring rules.

Yes, you can use customer retention analysis on WhatsApp threads, emails, and messaging tickets. The skill processes these conversation formats to compute satisfaction metrics, detect frustration, and predict churn risk for retention planning.

Computing escalation risk metrics from messaging threads requires applying deterministic scoring rules to customer support conversations. The analysis detects frustration levels and outputs a structured report with recommended actions to mitigate escalation and improve satisfaction.

Support conversation analysis does not require specific structured input data formats or dependencies. You can supply raw chats, tickets, emails, or messaging threads directly to compute CSAT, frustration scores, and generate actionable retention reports.