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