LiveRamp

LiveRamp provides access to the industry's most extensive network of media and data partners (including major ad platforms, DSPs, social networks, and streaming services like Disney, Hulu, Pinterest, Snapchat, Spotify, and TikTok), enabling unprecedented scale for activation and insights.

Builds and maintains a consistent, unified customer view by connecting disparate online and offline data points (CRM records, website behavior, offline purchases) into a single, privacy-safe identity framework (RampID), using an Identity Engine that leverages various identifiers (emails, phone numbers, cookies, device IDs, custom IDs, AbiliTec IDs) to create a robust identity graph.

Facilitates the ingestion of offline customer data (e.g., CRM records, purchase history, loyalty program information) and transforms it into online-ready data for digital marketing and analytics, supporting various upload methods like SFTP and AWS S3.

Employs advanced privacy measures like anonymization, hashing, encryption, noise injection, and suppression to ensure secure and compliant data collaboration, allowing data use without direct exposure of Personally Identifiable Information (PII).

Designed to adhere to strict global and regional privacy regulations, ensuring data collaboration and activation processes are fully compliant.

Enables publishers to engage visitors in a transparent exchange of value, offering premium content in return for authenticated first-party data (like email addresses), reducing reliance on third-party cookies.

Equips publishers with tools to build trust by giving visitors control over their data, allowing users to specify data sharing preferences and providing an audit trail for consent transactions.

Allows collaboration across any platform or cloud (AWS, Azure, Databricks, Google, Snowflake) while minimizing data movement, often utilizing a "zero-copy" principle where data remains at the source.

Enables activation across diverse channels and environments, including browsers, mobile devices, Connected TV (CTV), social media, and programmatic advertising, for personalized experiences at scale.

Provides a unified, de-duplicated view of media performance across all forms of advertising (walled gardens, programmatic, CTV, social, linear TV) to gain unprecedented clarity into media investments, optimize media mix, and understand true reach and frequency.

Offers secure, neutral, and interoperable clean room environments for safe data collaboration, allowing multiple parties to combine and analyze data for insights (e.g., ad effectiveness, audience overlap) without exposing raw PII.

Provides pre-configured queries and templates within clean rooms to swiftly move from data collection to execution, offering immediate campaign and audience insights for both technical and non-technical users.

Helps brands augment limited first-party data by accessing and integrating trusted new second- and third-party data sources from LiveRamp's dynamic marketplace to build a richer and more complete customer understanding.

Maximizes marketing effectiveness across the evolving advertising ecosystem by ensuring accurate onboarding and activation for targeted campaigns.

Empowers businesses to build and scale high-performing media networks by leveraging their first-party data to create additional value, fuel growth, and deepen customer loyalty.

Allows publishers to classify and sell anonymized data segments and enables advertisers to purchase such segments for their own use, all within a privacy-safe environment.

Supports best practices like data standardization, normalization, deduplication (exact and fuzzy matching), and appending/enrichment to build richer and more accurate customer profiles.

Accurately connects consumers' various online and offline identifiers to understand the complete customer journey and attribute conversions across different devices and channels.

Integrates with 500+ data destinations and major ad platforms, data warehouses, and analytics tools, providing extensive connectivity without the need for expensive custom integrations.

Built with a multi-plane, cloud-native architecture that supports secure, scalable analytics and machine learning across major cloud providers (AWS, GCP, Azure, Snowflake, Databricks) with multi-cloud compatibility and isolated data planes for security.

Defines and enforces data access policies, query controls, and governance standards within clean room configurations and across the platform, with advanced permissioning.

A core company commitment to ensure data use is not only legally compliant but also ethical and fair, with a dedicated program to assess and control risk.

Enables marketers to understand the customer journey across various touchpoints by creating a unified and anonymized customer profile.

Helps prevent over-serving ads to the same people or households and ensures more precise targeting.