Marketing

Marketing runs on intuition and attribution models that don't capture causality. Last-click attribution misses the full funnel. Budget allocation is guesswork. Timing is suboptimal. Audience targeting relies on demographics. The result: campaigns that underperform, ad waste, and missed opportunities. You need deterministic execution - not probabilistic optimization.

Dark data from engagement, conversion, and behavioral signals rarely feeds a causal attribution model. Without vector-space representation of behavioral archetypes and a Logic Engine that models true conversion drivers, marketing optimizes for clicks and impressions. The Conversion Modeling, Temporal Resonance, and Performance Forecasting that should drive the decision layer are absent or siloed; the decision layer gets dashboards and rules, not prescriptive budget, creative, and timing.

Sentient OS closes the loop: from campaign and audience data through causal modeling to a decision layer that outputs budget allocation, archetypal messaging, and optimal timing.

Sentient OS delivers deterministic campaign intelligence. Multi-factor conversion modeling captures price sensitivity, engagement quality, and match quality - tactical weighting replaces last-click. Temporal Resonance optimizes golden hours, seasonal relevance, and brand compatibility. Performance Forecasting delivers 8-week ROI projections. Budget flows to intent; messaging aligns with archetypes. Marketing becomes a decision engine.

The 5-Layer Architecture ingests campaign and engagement data through the Sensor and Translator layers; the Psychographic Layer and Conversion Modeling build intent and segment vectors. The Logic Engine runs causal analysis so the decision layer receives prescriptive allocation, creative alignment, and timing. Command Center modules - Conversion Modeling, Temporal Resonance, Performance Forecasting, Strategic Guidance - surface this intelligence for marketing teams.

Deterministic execution at the decision layer means every budget shift, creative swap, and flight decision is grounded in causal modeling. Dark data from your ad and CRM feeds activates into one decision layer that outputs what to do next, not what happened.