CHURN RISK

Catch churn risk in the customer's own words.

The signals are already there — implementation drag, competitor mentions, frustration patterns. SatisfAI hears them on a satisfaction call and flags the account immediately.

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THE PROBLEM

Renewal forecasts are built on lagging data.

Usage drops, ticket counts, login frequency — they all spike weeks after the customer has mentally checked out. The real signal is in what they say.

· Pattern detection for frustration, hesitation, competitor mention
· CSM task + Slack alert within minutes of call end
· Retention model improves every quarter on your data

With SatisfAI

Early warning, in the customer's own voice.

Every transcript scored against a churn-pattern model. Flagged accounts surface in a CSM queue with the exact quote.

WHAT YOU GET

Risk that's actually actionable

Risk score

Every call scored 1–5 for churn risk, with the transcript snippet that triggered it.

Pattern library

Pre-built patterns for the top 12 churn precursors — extensible per account.

Real-time alert

Slack and webhook delivery, sub-minute.

Account context

Every alert ships with the last three call transcripts and CSAT trajectory.

Hear churn coming — earlier than usage data lets you.

See SatisfAI run on a real call. 20 minutes, demo-only — no rip-and-replace.

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