Loading...
Loading...
Churn Diagnosis
Exit surveys blame pricing. Satisfaction scores look fine. But the sadness is already in their voice: flat tone, polite deflection, zero enthusiasm about the future. By the time the cancellation lands, the decision was made months ago.
ReadingMinds AI voice interviews detect these signals 60 days before renewal, with every finding traceable to cited evidence your team can act on.
Customers decide to leave long before they cancel. That decision lives in their voice, not in your CRM.
Flat tone, short answers, polite agreement. They've already decided to leave but haven't told you yet. A 7 NPS score that sounds like a 3.
Sharp frustration about unmet expectations. They're still engaged enough to push back, which means there's a window to fix it, but it's closing fast.
They challenge your value directly, question pricing, or express hostility. The relationship has been damaged and they may escalate or leave publicly.
Measured, flat delivery where enthusiasm used to be. Persistent neutrality in a customer who once loved you is disengagement hiding in plain sight.
Rising energy, faster speech, forward-leaning language. Healthy accounts have it. At-risk accounts had it once; hearing when it disappeared tells you what broke.
These are real signals ReadingMinds surfaces during churn diagnosis studies. Every finding links to cited evidence your team can verify.
These accounts scored 7+ NPS but used flat tone, minimal elaboration, and polite deflection when asked about future plans. Traditional metrics flagged zero of them as at-risk.
Exit surveys blamed 'budget.' Voice interviews revealed that customers mentally churned within the first 30 days when they couldn't see ROI. By renewal, the decision was already made.
One study surfaced 5 root causes of churn that exit surveys had never detected. The CS team saved 3 accounts within the first week by addressing the real issues, not the survey answers.
Pick the accounts you want to understand: upcoming renewals, declining usage, NPS non-responders, or expansion targets. Tell Emma what to explore.
Short voice conversations that feel natural, not like a survey. Emma classifies six emotions (sad, angry, confrontational, neutral, cheerful, enthusiastic) with intensity scoring in real time.
Every finding links to the exact customer quote, timestamp, and emotional signal. Your CS team knows which accounts to save, why they're at risk, and what to say.
Every churned account you could have saved is revenue that took months to earn and seconds to lose. The information was there; you just couldn't hear it.
$846K
at-risk ARR identified in one 48-hour voice study across 47 accounts
34%
of churned accounts cited slow time-to-value, which exit surveys never detected
60 days
of lead time to intervene when you can hear sadness before the cancellation email
Stop relying on health scores that miss emotional disengagement. Get cited evidence of which accounts are at risk, why they're at risk, and what language to use in the save conversation.
Churn is a revenue problem, not just a CS problem. Voice-based diagnosis gives you a 60-day window to protect renewal revenue with evidence the board will trust.
Know exactly which gaps drive churn, not what customers typed in a survey but what they said with anger, sadness, or confrontational signals in their voice. Prioritize the roadmap with emotional evidence.
Talk to Emma for 3 minutes. She'll detect the emotions and intensity beneath your words, then deliver a cited report to your inbox. See the mechanism that catches churn before it happens.
No permanent recordings stored. Transcripts and emotion tags only.