Glossary
Behavioral Archetypes
Data-driven behavioral segments like 'Skeptical Innovators' and 'Value Optimizers' - found by unsupervised learning, validated against outcomes.
Definition
Behavioral Archetypes are the output of Pattern Recognition (Layer 5). Unlike traditional demographic segments ('Males, 30-40'), archetypes emerge from unsupervised learning on vector spaces. They represent clusters of real behavioral patterns validated against hard outcome data - revenue, margin, conversion rate. Examples include 'Skeptical Innovators' (high research, cautious adoption), 'Impulsive Aesthetes' (visual-driven, fast purchase), 'Value Optimizers' (price-sensitive, comparison-heavy), and 'Loyal Advocates' (brand-loyal, repeat purchasers). 7 archetypes have been validated in production through LikeTik. Each archetype has a performance signature that feeds all 8 Command Center modules.
Why It Matters
Demographic segments are stereotypes. Behavioral archetypes are patterns that actually predict conversion - discovered from data, not assumptions.
Related Pages
Related Terms
Pattern Recognition Layer
Layer 5 of the 5-Layer Architecture - unsupervised learning that surfaces 7 validated behavioral archetypes from vector spaces.
Archetypal Clustering
Unsupervised learning to identify behavioral clusters like 'The Skeptical Innovators' rather than demographic groups.
Customer Segmentation
Dividing audiences into groups. Sentient transcends demographics with behavioral archetypes.
Persona Vectors
Mathematical representations of customers as points in complex space, enabling computable similarity and distance.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.