Predictive pattern extraction from engagement data. Questions: Which interventions cause posture improvements? Does tier-1 source count predict parametric recall? Does verification gate failure predict forfeiture? Build through: structured CC-DATA-01 records, bi-temporal provenance tracking, multi-engagement dataset. Use for: prescriptive recommendations (“Your profile suggests quarterly tier-1 campaigns prevent forfeiture”), predictive posture forecasting, intervention prioritization. Requires statistical rigor and sufficient sample. Causal model converts proprietary data into proprietary insight. Analytical asset behind the data moat.