The Predactiv People Model
An AI foundation model built to understand people
It learns from what people do, connecting behavior to the interests, habits, and motivations behind it. Built on the open web and available to anyone.
Trained on
3M+
Domains contributing behavioral signals
65B
Behavioral events a month
1B+
Users in the training dataset
Purchase signals
Demographic signals
What it learns
Behavior changes.
The patterns behind it don’t.
A purchase, a page view, a show, or a post captures a moment. The People Model learns the patterns across those moments, then connects them to the interests, habits, and motivations that sit behind them.
What people do
Across the open web
Bought running shoes
Ecommerce · 12 days ago
Read a marathon training plan
Publisher · 3 weeks ago
Compared electrolyte products
Review site · 4 days ago
Watched a race recap
Streaming · 19 days ago
Shared a local 10K signup
Social · 8 days ago
The Predactiv People Model
Learns the pattern behind the actions
What the model infers
More stable, more predictive
Plans ahead
Buys on a schedule, not on impulse
Detail-driven
Reads the spec first, in any category
Health-focused
Beyond fitness: food, travel, finance
Trades up
Pays more when the product earns it
Values improvement
A motive that reaches beyond sport
Five moments, three weeks apart, in no particular order. The sequence is not what connects them. The patterns behind them are.
Illustrative example. Not actual model output.
The Technology
Built to understand behavior at three levels
The People Model learns at three levels, moving from individual actions to behavioral patterns to the more stable psychographic characteristics that connect them.
01
Event model
Learns from individual actions
Processes billions of behavioral signals from across the open web and partner data sources.
Purchases
Page views
Content consumption
Searches
Media exposure
02
Behavior model
Finds patterns within behaviors
Organizes those signals into patterns within each type of behavior.
Shopping habits
Browsing behavior
Content interests
Brand affinities
Media consumption
03
Psychographic model
Connects patterns across behaviors
Builds a more stable representation by connecting behavioral patterns into broader interests, habits, lifestyle, and motivations.
Interests
Habits
Lifestyle
Attitudes
Motivations
Use cases
Turn behavioral intelligence into action.
Custom Audiences
Build audiences from behavioral patterns rather than relying only on predefined segment attributes.
Predictive Modeling
Build lookalike, next-purchase, and custom models from behavioral patterns.
Consumer Insights
Understand the behaviors, interests, and characteristics that distinguish an audience.
Data Enrichment
Add behavioral and audience intelligence to existing datasets.
Privacy by design
Built for intelligence without individual identification.
The People Model learns from pseudonymous behavioral signals and represents psychographic intelligence at the group level, rather than as identifiable individual profiles.
No direct identity required
The People Model works with pseudonymous behavioral signals rather than names, emails, or other directly identifying information.
Group-level psychographics
Psychographic intelligence is represented across groups with shared behavioral patterns, not exposed as individual consumer profiles.
Governed data sources
Behavioral and partner data is sourced and used within defined privacy, consent, and data-governance requirements.
Controlled data use
Predactiv data can be used on its own or combined with first-party data within defined data controls.
More on the People Model
Press release
Talk to us about the People Model
See how the People Model can support your audiences, insights, modeling, and data strategy.