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Churn detection

Know which customers are leaving - while you can still keep them.

Customers say it in conversations long before they go.

Most tools tell you how many conversations you handled. Isara tells you which ones damaged the relationship. It turns every conversation into a churn signal, scores each account by risk, and shows you why - so your team knows who needs attention and what to do.

How churn detection works

Conversation analysis

Every interaction, read for risk

Each conversation is analysed for sentiment, frustration, unresolved issues and churn indicators - continuously, across 100% of your volume.

So risk is read from what customers actually say, not a usage proxy that misses the unhappy ones.

Every interaction, read for risk
Risk scoring

Accounts ranked by how likely they are to leave

Behavioural shifts, escalation trends and failed transactions combine into a risk score, classifying each customer Critical, High, Medium or Low - with the specific reasons documented.

So your team spends its limited time on the accounts most likely to leave.

Accounts ranked by how likely they are to leave
Revenue at stake

See the money attached to the risk

Every at-risk account comes with the revenue on the line, so you prioritise the saves that matter most, not just the loudest.

So you protect revenue, not just tick off saves.

See the money attached to the risk
Act and learn

One view, with the root cause

Every at-risk customer and why, in Isara and in an alert to whoever looks after them. Your interventions feed back in and sharpen future detection.

So your retention play gets measurably sharper every quarter.

One view, with the root cause

Questions about churn detection

How early do signals appear?

Often weeks before a customer leaves, which is enough time for a considered call rather than a last-minute scramble. Test it on your own history to see how early it would have been for you.

B2B accounts or individual customers?

Both. Isara flags at-risk business accounts and individual end-users, so it fits B2B and B2C.

What signals does it use?

Cancellation and downgrade requests, repeated complaints, rising frustration, payment failures, pCSAT decline, contact-frequency spikes, slower responses and escalations - combined, not in isolation.

Stop losing customers you could have kept.

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