Layer 3: Modular KPI Aggregation - 221k active aggregations

The Logic Engine

Linking semantic metrics into KPIs. 221k+ active KPI aggregations with contextual weighting - the same engagement can be correctly interpreted as risk or opportunity depending on context.

Business Impact

What This Means for the Business

How this layer drives the decision layer and Command Center.

The Logic Engine is where causal analysis meets the decision layer. For the business, contextual weighting means the same engagement can be correctly interpreted as risk or opportunity. KPIs are not flat averages - they are dynamically weighted, so Performance Forecasting, Conversion Modeling, and Strategic Guidance all receive context-aware inputs. Deterministic execution is built on this layer.

Layer 3

How It Works

The mechanics that make this layer unique.

Contextual Weighting

Dynamic evaluation superior to rigid rule sets. The same engagement can mean different things depending on context.

  • High engagement + critical sentiment = Risk
  • Same engagement + solution-oriented intent = Sales Opportunity
  • Dynamic evaluation - context determines weight, not fixed rules

Modular KPI Aggregation

Semantic metrics from the Translator are linked into KPIs. Views, CTR, clicks, conversions - all weighted by context.

  • Core funnel metrics with contextual adjustment
  • Revenue and efficiency signals for Performance Forecasting
  • Driver-ready outputs for Conversion Modeling

Decision-Ready Signals

Outputs are formatted for the Command Center. No extra transformation - the Logic Engine speaks the language of the modules.

  • Structured for Performance Forecasting and Market Fit
  • Temporal and niche context preserved
  • Deterministic execution path from KPI to action

Rule-Free Evaluation

No fixed thresholds. Weights adapt to context - live-stream vs evening session, discovery vs conversion - so the decision layer gets the right signal at the right time.

  • Context-sensitive weighting in real time
  • No rigid rules that misclassify edge cases
  • Causal interpretation, not correlation

Traceability

Every weighted signal can be traced back to Sensor and Translator inputs. Full audit path for compliance and trust.

  • End-to-end traceability from raw signal to KPI
  • Auditable weighting logic
  • Supports Integrity Layer and Enterprise Integration

Causal Analysis Ready

Contextual weighting delivers cause-aware signals. The decision layer gets not just correlation but causal interpretation - why outcomes happen.

  • Multi-factor driver analysis for Conversion Modeling
  • Deterministic ROI inputs for Performance Forecasting
  • Strategic Guidance receives context-weighted signals

From Signal to Decision

Weighted KPIs flow into the DNA layer for vector encoding and into the Command Center modules for immediate action. Context-aware signals become the fuel for persona vectors and behavioral archetypes.

Architecture

Explore Adjacent Layers

Each layer builds on the last. Continue your journey through the stack.

Explore the Full Architecture

Book a live deep-dive to see how all 5 layers work together to transform your data into deterministic decisions.