Know which customers are leaving - while you can still keep them.
Churn signals show up 30 to 60 days before customers 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
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.
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.
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.
One view, with the root cause
A single dashboard shows every at-risk customer and why, ready to act on. Your interventions feed back in and sharpen future detection.
So your retention play gets measurably sharper every quarter.
Questions about churn detection
How early do signals appear?
Typically 30 to 60 days before a customer leaves - enough time for a considered intervention rather than a last-minute scramble.
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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