Smarter Connections with Contextual Advertising

Go beyond keywords. Leverage our advanced AI to reach your audience in the most relevant moments, ensuring brand safety and maximizing campaign ROI in a privacy-first world.

The Future of Ad Targeting is Here

As third-party cookies fade away, contextual targeting emerges as the powerful, privacy-compliant solution. BiddingStack gives you the tools to deliver highly effective ads that respect user privacy and enhance brand perception.

Analyze

Our AI and NLP models analyze page content, identifying entities, topics, and sentiment in real-time to understand the true context.

Segment

Create powerful audience segments based on a rich variety of contextual signals, from IAB categories to your own first-party data.

Target

Deliver highly relevant ads that resonate with user interest and the surrounding content, boosting engagement and performance.

Unmatched Segmentation Capabilities

Combine multiple data sources to build the perfect audience for every campaign.

AI-Generated Contextual Segments

Leverage cutting-edge Natural Language Processing to understand the true context of any page. Our models identify recognized organizations, locations, and infer browsing topics based on content and user behavior.

  • Content taxonomies based on Google V1/V2 and IAB V2/V3
  • Identification of key entities like organizations and locations
  • Browsing topic inference from content and behavior

User-Provided & First-Party Data

Integrate your own data for unparalleled targeting precision. Connect with your DMP (like UniSignIn) or other first-party sources to use custom fields, registration info, and other user-provided attributes.

  • Seamless integration with UniSignIn and other DMPs
  • Target based on custom data fields (age, preferences, etc.)
  • Utilize registration and login-based information

On-Page & Behavioral Signals

Get specific with targeting based on page-level attributes and user activity. Utilize content categories, keywords, or custom key-value pairs, alongside behavioral data like visit frequency and page views.

  • Target by content categories, keywords, or author IDs
  • Use custom key-value pairs defined by the publisher
  • Factor in GEO, time of day, and pageview frequency