Sistava

Customer Sentiment Analysis

AI Customer Support Team

Spot at-risk accounts before they churn

Your AI support team reads between the lines of every customer interaction. It tracks sentiment shifts across tickets, chat messages, and email threads, building a real-time picture of how each customer feels about your product.,At-risk accounts get flagged before they submit a cancellation request. Recurring frustration, escalating tone, multiple tickets on the same issue. These signals are detected early and routed to your retention team with full context.,Aggregate trends surface across your entire customer base. Which features cause the most confusion? Which onboarding steps have the highest drop-off? Which customer segments are happiest? Sentiment data turns support into a product intelligence engine.

Benefits

How It Works

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At a Glance

2-3 weeks
Earlier churn detection vs. traditional
95%
Accuracy on sentiment classification
Real-time
Monitoring across all channels

From Reactive Support to Proactive Retention

Support Data as a Product Feedback Loop

FAQ

What signals does the AI look for to detect churn risk?

Escalating negative tone across tickets, repeated complaints about the same issue, declining engagement, and language patterns associated with cancellation intent. These signals are weighted and combined into an account risk score.

How is this different from CSAT surveys?

CSAT surveys measure satisfaction at a single point in time and have low response rates. Sentiment analysis monitors every interaction continuously, catching frustration that surveys miss because customers rarely fill them out when upset.

Can I customize the risk thresholds?

Yes. Set the sensitivity level for at-risk alerts based on your business. High-value accounts can have tighter thresholds. You decide what triggers a flag and who gets notified.