Predict churn, purchase intent, and engagement with ML models trained on your customer journeys. Turn raw signals into next-best actions that lift conversions and retention.
We map events across web, app, CRM, and ads to identify patterns. The system calculates propensities and triggers personalized outreach—at the exact moment it matters.
Learn from historical journeys, predict future outcomes, and automate the next step—at scale.
Merge web, app, CRM, & ads logs
ML predicts churn & conversions
Propensity scores update in real time
Trigger journeys & offers automatically
Reach at-risk users early
Promote next-best products
Messages that match intent
Invest where outcomes are likely
Data-driven, not guesswork
A prediction model is only useful if it changes what your team does next. Here's what gets in the way.
A churn score that doesn't trigger an actual retention offer is just an interesting number, not a business result.
A model built on a few weeks of activity won't capture seasonal or longer-cycle behavior patterns accurately.
A model trained on app data alone misses signals from web or CRM activity, weakening every prediction it makes.
A propensity score is a probability, not a guarantee. Teams that treat it as fact tend to over-automate and under-review.
Models improve with more history, but we can build a useful first version from a few months of CRM, web, and app data, then refine it as more data comes in.
Yes. We connect directly to common CRM and marketing platforms so propensity scores flow into the tools your team already uses.
Common triggers include retention offers for at-risk customers, personalized product recommendations, and prioritized outreach for high-intent leads.
We retrain on a regular schedule and after any significant change in customer behavior, so scores stay accurate rather than drifting out of date.
Whether you're planning a campaign, launching a brand, or needing expert advice, we’re here to help.