How AI Detects Customer Renewal Risk Using Unstructured Data
See how Kaiya helps Customer Success teams spot real renewal risk by reading what customers say—not just what dashboards show. Combine usage trends, support friction, and unstructured conversations into one clear renewal risk signal across your portfolio.
See how Kaiya brings structured and unstructured data together to reveal which accounts are truly at risk—and which are actually stable. Instead of guessing from usage charts alone, Customer Success teams get a unified view of telemetry, tickets, transcripts, and email sentiment for every renewal.
With Kaiya, you can:
- Scan every enterprise account’s call notes, emails, and tickets for early churn signals.
- Combine declining usage with negative sentiment to prioritize high-risk renewals.
- Distinguish noisy but healthy customers from accounts quietly preparing to churn.
- Walk into renewal season with quantified risk scores and narrative-ready context for every QBR.
Whether you lead CS for an enterprise SaaS product or manage a book of strategic accounts, Kaiya keeps you ahead of renewal risk—without hours of manual inbox and dashboard review.
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