← Amazon Connect Intelligence
Amazon ConnectNew Feature

Analytics score interaction outcomes and segment metrics by lifetime value

New outcome metrics show whether a customer left satisfied, is at churn risk, purchased or self-served, and any metric can be split by customer lifetime value or repeat-caller status.

What changed

AWS added outcome scoring to Amazon Connect Customer analytics. Each interaction is scored for whether the customer left satisfied, is at risk of churning, made a purchase or resolved the need in self-service. Each metric has a default definition that businesses can adjust, and the metrics are available in analytics dashboards and through APIs. In a separate announcement the same day, AWS added customer segments to metrics, so any metric can be compared for repeat callers versus other contacts or for high-lifetime-value customers.

Vendor documentation (opens in a new tab)

Why it matters

Efficiency metrics such as handle time say little about whether a contact actually worked. Outcome scores and segment views can show, for example, that repeat callers or high-value customers are faring worse than the average suggests, but the scores are only as meaningful as the definitions behind them.

CxCave practical context

Who should care

  • CX leadership
  • Reporting teams
  • Quality teams

Implementation considerations

REVIEW

Review the default outcome definitions against how your business defines success, adjust them before sharing results widely, and add repeat-caller and lifetime-value cuts to the dashboards leadership already uses.

CxCave recommendation, not a vendor mandate unless explicitly stated.