AI TOOL PROFILE
LiveRamp: Data Collaboration and Identity Resolution
- Data and Analytics
- Data Management
- Enterprise companies
- Mid-market companies
- Marketing teams
- Data publishers
Pricing
LiveRamp uses a consumption-based pricing model where costs scale based on the volume of data utilized and specific actions performed. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Marketing teams, Data publishers
- Key use cases
- Unifying Customer Data, Marketing Data Activation, Campaign Measurement, Data Monetization
- Integrations
- Amazon Web Services, Google Cloud Platform, Snowflake
- Official website
- Visit Liveramp official website
How AI is used
LiveRamp is a data collaboration platform that focuses on identity resolution and the activation of first-party data. It is designed for brands, agencies, and publishers who need to unify customer signals across different platforms and clouds to understand their audience.
The platform provides tools for connecting first-party data to an advertising ecosystem, which may help companies reach customers across various digital channels. It also includes capabilities for data monetization and secure collaboration through clean room technology.
Because the tool is designed for scale and involves data governance, it is primarily targeted at mid-market and enterprise-level organizations. Buyers should confirm how the consumption-based pricing aligns with their specific data volumes and use cases.
Users may also utilize agentic AI upgrades to support growth planning and measurement workflows.
Key Features
Identity Resolution & Translation
Designed to unify fragmented customer data across platforms and translate identifiers to maintain addressability.
First-Party Identity Engine
Supports the resolution and unification of a company's first-party data.
Clean Rooms
Provides a secure environment for parties to collaborate on data and access insights.
Segmentation and Activation
Connects and segments data to support media impact and targeting.
Data Marketplace
Connects businesses to third-party data to refine targeting and expand reach.
Agentic AI Upgrades
AI-driven capabilities designed to support marketing growth, planning, and measurement.
Use Cases
Unifying Customer Data
Breaking down internal data silos using a consistent identity framework.
Marketing Data Activation
Connecting first-party signals to advertising channels to reach specific customer segments.
Campaign Measurement
Measuring advertising effectiveness across different clouds and walled gardens.
Data Monetization
Using the platform's ecosystem to monetize owned data through a network of advertisers.
Integrations
- Amazon Web Services
- Google Cloud Platform
- Snowflake
FAQ
What does LiveRamp do?
- LiveRamp is a data collaboration platform that helps businesses unify fragmented customer data and use it to target and measure marketing campaigns across various digital channels.
How is LiveRamp priced?
- It uses a consumption-based pricing model, meaning the cost is determined by the volume of data used and the specific actions performed within the platform.
Who is LiveRamp designed for?
- The platform is designed for enterprise and mid-market companies, as well as marketing teams and publishers who handle large volumes of customer data.
Source category: Data & Analytics
Source subcategory: Data Management
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