The decline of third-party cookies and increasing privacy regulations make it difficult for businesses to track users across domains, understand their audiences, and deliver personalized experiences without compromising user privacy or risking data breaches. Existing identity solutions often rely on probabilistic methods or Personally Identifiable Information (PII), leading to inaccurate matching and increased privacy risks.

AdFixus offers a privacy-centric identity and matching solution that enables businesses and publishers to connect with their entire audience across multiple domains without using PII. The AdFixus platform leverages its patented Anonymous Federated Identity technology to generate a persistent, double-encrypted first-party identifier. This approach allows for accurate user tracking and segmentation while adhering to stringent privacy regulations and giving consent control back to individuals. AdFixus provides a comprehensive view of both authenticated and anonymous users, facilitating personalized content delivery, improved attribution, and enhanced campaign effectiveness.

Anonymous Federated Identity: Patented technology that creates a persistent, privacy-focused first-party identifier without PII.

Cross-Domain Tracking: Enables tracking of users across multiple domains with a single, unified ID.

AdFixus Identify: Generates a durable, double-encrypted first-party cookie for both authenticated and anonymous users.

AdFixus Match: Matches unauthenticated individuals with a 100% match rate without capturing or sharing PII.

AdFixus Stream: Streams conversion events directly to publishers in real-time to optimize media campaigns.

Real-time Event Streaming: Allows for real-time connections and event streaming to partners for attribution and segment updates.

Segment Management: Enables users to upload, maintain, share, and match audience segments.

Integration with CDPs: Synchronizes with leading Customer Data Platforms (CDPs) for audience segmentation and attribution reporting.

Machine Learning EDS: Proprietary platform that leverages Machine Learning models to proactively and in near real-time detect anomalous traffic as well as potential suspicious activities across websites.

The primary target audience includes publishers and advertisers seeking privacy-compliant solutions to understand their audience, improve ad targeting, and measure campaign performance in a cookieless world.