Glossary
Behavioral Analytics
Analyzing patterns in how people interact with content, products, brands across time and devices.
Definition
Behavioral Analytics examines patterns in how people interact with content, products, and brands-across time, devices, and touchpoints. Sentient OS applies behavioral analytics to build persona vectors, discover archetypes, and model conversion drivers. Engagement depth, interaction sequences, content resonance, and cross-session behavior all inform the models. Behavioral analytics transcend demographics: two users with identical demographics may behave entirely differently. The platform captures behavioral signals at the protocol level, translates them into intent and tonality, and clusters them into archetypes. Behavioral analytics power audience intelligence, creator matching, and conversion modeling.
Why It Matters
Behavioral analytics are the foundation of Sentient's audience intelligence. Behavior predicts action; demographics don't.
Related Pages
Related Terms
Persona Vectors
Mathematical representations of customers as points in complex space, enabling computable similarity and distance.
Archetypal Clustering
Unsupervised learning to identify behavioral clusters like 'The Skeptical Innovators' rather than demographic groups.
Engagement Rate
Metric measuring interaction depth. Sentient analyzes engagement stability to unmask inorganic spikes.
Conversion Rate
Percentage of users taking desired action. Sentient's multi-factor model identifies exact lift per driver.
Psychographic Profiling
Understanding attitudes, interests, personality traits. Sentient's Layer 4 creates mathematical psychographic models.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.