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Nivision
Use case

Know a customer is about to leave, before they do.

Customers say on calls that they're hesitating, that a competitor made them an offer, or that they've had enough. Nivision picks up those signals across every call and alerts you while you can still do something.

Customer retention and churn signals

Churn is usually discovered too late.

A customer who leaves almost never leaves without signs. They mention a competitor, complain again about the same issue, or ask how to cancel. Those signs are said on calls, but nobody hears all of them. The understanding arrives in the monthly churn report, when it's already late.

AI Call Analytics Platform | Conversation Analytics Software

Catch the signals on the call itself.

Nivision analyzes every call for the conditions you've defined as risk signals: a competitor mention, a threat to leave, a cancellation request or repeated frustration. When one comes up, an alert goes out with full context so the retention team can reach the customer. Aggregate reports show why customers consider leaving and which agents manage to retain them.

01

Churn signals

Competitor mentions, threats to leave and cancellation requests detected on every call.

02

Retention team alerts

A call with a risk signal triggers an alert with full context, while you can still act.

03

Cancellation call analysis

Why customers ask to cancel, and what worked when you retained them.

04

Sentiment over time

How a customer's tone shifts from call to call, per customer and per topic.

Customer retention and churn signals

The outcome

  • At-risk customers identified from calls, not surveys
  • The retention team is alerted while it can still act
  • A data-based understanding of why customers leave
Customer retention and churn signals

FAQ

Can you identify customers at risk of churning from calls?

Yes. Define the signals that matter to you, such as a competitor mention, a threat to leave or a cancellation request, and Nivision detects them on every call and alerts.

Does Nivision predict for certain who will leave?

No. Nivision detects signals that were said on calls. Whether they predict churn in your business depends on your data, and it's worth checking over time.

Can it analyze cancellation calls?

Yes. Classifying cancellation calls shows why customers ask to leave and what worked in the calls where you retained them.

How is this different from a satisfaction survey?

A survey captures a small share of customers, late. Call analysis captures every customer, at the moment they say it, in their own words.

Is there a minimum?

No. There's no minimum, and you can start with 300 free trial minutes.

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Turn your conversations into action.

See Nivision analyze calls like the ones your team handles every day. A 30-minute walkthrough, no slides.

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