RampID: One customer view, limitless marketing opportunities

Connect the dots across channels with the industry’s most durable, interoperable, and secure identifier. RampID acts as a translator across platforms, so you can turn disparate customer data into a single, comprehensive, and actionable view for better reach, targeting, and measurement.

Reach consumers everywhere they spend time

Maximize campaign reach and performance

RampID delivers up to 50% better match rates than other identifiers. It translates and reconciles any combination of authenticated identifiers across publishers, partners, and platforms while respecting each party’s privacy requirements.

Enhance consumer addressability

Reach authenticated audiences at scale across browsers, apps, and CTV with LiveRamp’s Authenticated Traffic Solution (ATS). Reach real people without using third-party identifiers, increasing the value of publisher inventory across all channels.

Find out more about LiveRamp’s Authenticated Traffic Solution

Improve campaign personalization and measurement

RampID helps you connect authenticated and permissioned audiences accurately so you can measure engagement and conversion signals and unlock actionable campaign insights.

Learn more about measurement

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In this video, watch Marton Kriszan, Product Manager for Cloud Embedded Identity at LiveRamp, show how LiveRamp’s deep integration with Google’s BigQuery unlocks data signals and helps optimize media spend and increase marketing agility.

For even more videos on how LiveRamp powers data collaboration and enhances personalization on Google Cloud, see this page.

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Explore LiveRamp's Solutions in Action

Take a self-guided tour of the LiveRamp Data Collaboration Platform with our interactive demos.

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LiveRamp’s native solutions, available on the AWS Marketplace, transform your data cloud into an engine for marketing and measurement.

Stronger campaigns start with stronger identity

Create a single, accurate view of your customers with RampID so you can personalize and measure more effectively at scale.