Biddingstack Segments for Targeting

Common Segments

These segments are automatically derived from user behavior and session context:

• Geographic location (GEO)
• Time of day
• Active days (e.g., frequency of visits)
• Number of pageviews within a single session
• Number of pageviews per user per day
• Total number of pageviews per user across all sessions

User-Provided Data

Collected directly through DMP like UniSignIn or other first-party DMPs, this data includes:

• Custom data fields submitted by the user (e.g., age, preferences, occupation)
• Registration or login-based information

On-Page Key-Value Pairs (KVPs)

Extracted from the content or metadata of the page:

• Content categories
• Page-level keywords
• Author names or IDs
• Custom KVPs defined by the publisher

AI-Generated Contextual Segments

Biddingstack also supports advanced contextual targeting powered by AI and NLP models:

• Recognized organization entities within the content

• Identified location entities

• Content taxonomies based on:

  • Google V1
  • Google V2
  • IAB V2
  • IAB V3

• Browsing topic inference based on content and behavior