See What's Coming Before It Hits the Forecast
Predictive models, lead scoring, churn risk, and forecasting, built on your own data, so your team acts on signal instead of gut feel.
Where Guesswork Costs You
Reactive, Not Proactive
You find out a deal slipped or a customer churned after it has already happened.
Gut-Feel Scoring
Lead and account priority is based on opinion, not on what actually predicts conversion.
Forecasts You Can't Trust
Roll-up forecasts swing wildly because they are built on rep optimism, not data.
Predictive Analytics Services
From hindsight to foresight
Predictive Lead & Account Scoring
Models that rank leads and accounts by real likelihood to convert.
- Signal analysis
- Model training
- CRM integration
- Continuous tuning
Churn & Risk Prediction
Flag at-risk customers early enough to actually save them.
- Usage signals
- Risk scoring
- CS alerts
- Playbook triggers
Revenue Forecasting
Data-driven forecasts that hold up in the board meeting.
- Pipeline modeling
- Scenario analysis
- Accuracy tracking
- Rep vs model
Model Ops & Governance
Keep models accurate, explainable, and trusted over time.
- Monitoring
- Drift detection
- Explainability
- Retraining
Frequently Asked Questions
Do we have enough data for predictive models?
Usually yes. Even a few thousand historical records can produce useful scoring. We start with what you have, validate accuracy honestly, and expand as the data grows, no black boxes.
How is this different from the AI scoring in our CRM?
Built-in scoring is a black box tuned on generic data. We build models on your data, show you what drives each score, and tune them to your ICP and sales motion.