Enables privacy-compliant addressability and measurement in digital advertising through authenticated identity resolution, allowing publishers and advertisers to maintain targeting and attribution capabilities without third-party cookies.
Last updated Mar 18, 2026 by AI Enrichment
Leading identity resolution provider for cookieless advertising
LiveRamp's Authenticated Traffic Solution (ATS) is a core component of LiveRamp's identity resolution platform designed to address the challenges of the post-cookie digital advertising landscape. ATS enables publishers and advertisers to maintain addressability and measurement capabilities without relying on third-party cookies by leveraging authenticated user identities. The solution facilitates privacy-compliant data collaboration across the advertising ecosystem while maintaining user consent and transparency. As part of LiveRamp, a publicly-traded data connectivity platform, ATS represents the company's strategic response to industry-wide privacy changes including Google's cookie deprecation and increasing regulatory requirements. The solution integrates with LiveRamp's broader identity graph and data collaboration infrastructure, enabling clients to activate data across multiple channels and platforms. LiveRamp holds a significant position in the identity resolution market, serving major publishers, advertisers, and platforms globally. ATS works by helping publishers capture and authenticate user identities through first-party relationships, then translating these identities into LiveRamp's RampID for use across the advertising ecosystem. This approach enables frequency capping, attribution, personalization, and audience targeting in a privacy-safe manner that complies with GDPR, CCPA, and other privacy regulations.
Core identity resolution solution that converts authenticated user data into RampIDs for cookieless addressability
Pseudonymous identifier that enables cross-platform identity resolution and data collaboration
Comprehensive identity infrastructure connecting online and offline identifiers across devices and channels
Privacy-safe data clean room environment for secure data collaboration and analysis