Available from Growth plan

Your customers who leave sent you signals first.
You just didn't see them.

How PredictIQ works

PredictIQ reads the text produced by each customer — reviews, tickets, emails, call transcripts. It detects linguistic patterns associated with departure risk: word associations, recurring expressions, tone shifts. The result: a churn probability percentage per customer, updated after each new interaction.

3 risk clusters

Stable cluster — 0% to 40%

Neutral or positive language. No departure signal detected.

Watch cluster — 41% to 70%

Weak signals. Recurring frustration patterns. Monitor this month.

At-risk cluster — 71% to 100%

Strong departure signals. Competitor mentions. Rupture tone. Contact immediately.

3 use cases

Illustrative example

A CRM manager notices her best customers haven't ordered in 6 weeks. PredictIQ had flagged their departure signals 3 weeks earlier — email tone, declining contact frequency, competitor mention in a ticket. A targeted outreach with a personalized offer recovers 60% of at-risk customers.

Key verbatims that triggered the score

“second failed delivery” 68%“looking at alternatives” 79%“really disappointed” 71%
PredictIQ example — churn scores per customer, triggering verbatims and score progression across calls

PredictIQ is available from the Growth plan at $299/month.

See pricing →

Identify your at-risk customers on your own data.

Get your free case study →