PredictIQ transforms raw usage signals into predictive adoption intelligence — forecasting engagement decay, activation failure, and expansion likelihood before they impact your bottom line.
Engagement trajectory forecasting — know who is drifting away 30 days before they go silent.
Neural models analyze login frequency, feature depth, and session duration to forecast user drop-off probability at the individual and cohort level.
Identify the accounts most likely to upgrade, cross-sell, or expand — before your sales team has even noticed the signal.
Map which product features drive stickiness vs. which generate confusion — then route users to the paths that maximize long-term LTV.
Customer onboarding intelligence — identify activation failure risk the moment a new customer starts their journey.
Score every new onboarding journey against a baseline of successful activations. Flag accounts at risk of slow adoption before the 14-day window closes.
Before a single support ticket is raised, PredictIQ flags which onboarding sessions will stall — and prescribes the corrective action automatically.
Continuously A/B test onboarding flows using live prediction feedback. Every new cohort teaches the model — TTV shrinks with every iteration.
The compounding effect of adoption intelligence on your revenue stack.
Customers who reach their first value event within 14 days are 2.1× more likely to renew and 3.4× more likely to expand. Every day saved in TTV is recoverable ARR. PredictIQ makes this measurable and actionable in real-time.