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.
Neutral or positive language. No departure signal detected.
Weak signals. Recurring frustration patterns. Monitor this month.
Strong departure signals. Competitor mentions. Rupture tone. Contact immediately.
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
After each support call, PredictIQ recalculates the churn score. A customer whose billing issue wasn't resolved on the first call goes from 45% to 78%. The account manager is automatically alerted and calls back the next day — before the formal complaint.
Score progression
150 active clients. PredictIQ identifies 4 clients in the red cluster this month — without them having contacted support. Usage down 40%, last tickets contained disappointment signals. The CS team contacts them proactively, 3 weeks before the renewal date.
Dashboard
PredictIQ is available from the Growth plan at $299/month.
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