
Fundamentals
- Contextual Scoring: Weighs actions based on recency, frequency, and relevance, separating genuine commitment from noise.
- Adaptive Modelling: Continuously refines scoring parameters as ecosystems evolve, keeping insight accurate and responsive.
- Pattern Recognition: Detects behavioural trends and correlations, enabling teams to understand what drives user retention and growth.
- Data Cohesion: Normalises and aligns data across multiple sources, creating a unified, verifiable base layer for Splice intelligence.