churn-analysis

To find the root cause of customer churn, reconstruct the signal timeline to derive an evidence-based explanation for the closed contraction event. This categorizes the primary driver and contributing factors using specific timeline evidence.

A post-mortem churn analysis evaluates response adequacy by assessing whether monitoring, escalation timing, and save strategy were appropriate based on what signals were visible at the time. This diagnostic identifies gaps in your customer success workflow.

Yes, you can scan your active renewal portfolio for matching signal patterns to identify where similar churn drivers may be present. This optional portfolio scan mode searches active accounts to prevent similar losses across your book.

Root cause churn analysis requires pre-flight configuration from churn-signal and escalation fields before processing. This setup ensures timing and confidence guardrails are enforced and structured lessons are accurately generated.

Post-mortem analysis applies to closed churn or contraction events within about 30 days of churn confirmation. Analyzing events outside this window limits the accuracy of the reconstructed signal timeline and evidence-based categorization.

Yes, you can run a quick batch churn analysis on multiple lost accounts using the abbreviated mode. This provides a rapid root cause, key lessons, and a recommendation on whether a full portfolio scan should be performed.