Predictive value systems for performance marketing
Services
We build machine learning systems that help performance marketing teams optimize for lead quality, customer value, and real revenue — not just cheap conversions.
Core Services
Our services are designed for businesses with meaningful paid acquisition spend, usable first-party data, and a need for better downstream signals from CRM outcomes, customer value, and retention behavior.
Acquisition signal
Lead Quality Scoring
Predict which leads are most likely to qualify, close, or generate revenue so teams can prioritize better and judge channel quality earlier.
Typical use cases
- Score leads using CRM and revenue outcomes
- Improve bidding and channel evaluation
- Prioritize sales follow-up more effectively
- Reduce dependence on weak top-of-funnel signals
Value forecasting
Customer Value Modeling
Estimate expected customer value earlier so acquisition decisions can be made on quality and future value, not only on upfront conversions.
Typical use cases
- Model downstream value from early signals
- Support smarter budget allocation
- Differentiate high-value from low-value acquisition
- Align marketing optimization with revenue quality
Retention intelligence
Churn & Reactivation Prediction
Identify which customers are likely to churn, lapse, or disengage so retention and reacquisition spend can be used more intelligently.
Typical use cases
- Flag risk earlier across customer segments
- Prioritize retention effort where value is highest
- Improve reactivation targeting and spend efficiency
- Support more intelligent lifecycle marketing decisions
Start with a diagnostic
Not sure which service is the right fit?
Start with a diagnostic to identify where machine learning can improve signal quality, budget decisions, and measurable commercial outcomes.