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What is LiveRamp Clean Room?

As third-party cookies fade away and data privacy laws tighten, alongside an increase in consumer options to opt-out, valuable insights about customers often remain confined within separate platforms and ecosystems. Enter the LiveRamp Clean Room, which is powered by Habu and designed to elevate your return on ad spend (ROAS) by allowing seamless integration, analysis, and activation of your data across multiple platforms. By leveraging this innovative solution, you will gain a holistic view of performance metrics spanning all advertising channels, such as walled gardens, connected TV services, and social media platforms, which equips you to make strategic decisions based on comprehensive datasets. This cutting-edge tool promotes privacy-focused data collaboration within the growing LiveRamp global ecosystem, revealing new opportunities while enhancing your marketing efforts. Additionally, the platform accelerates the realization of value through a tailored user experience for business professionals, incorporating prebuilt templates and generative AI, as well as advanced analytics for more technically oriented users. Furthermore, you can fine-tune your advertising budget with transparent insights across walled gardens, channels, and cloud environments, ensuring you make the most judicious choices. Ultimately, the LiveRamp Clean Room is an indispensable resource for navigating the evolving terrain of data privacy and marketing analytics, empowering businesses to adapt and thrive in this new landscape. Through such capabilities, companies can not only safeguard their data but also maximize their advertising effectiveness.

What is Habu?

Retrieve information from any setting, even amidst a wide range of different environments. To effectively enhance acquisition and retention, it is essential to enrich both data and models. By utilizing machine learning, valuable insights can be discovered by securely integrating proprietary models, such as propensity models, with data, thereby improving customer profiles and models while facilitating rapid scalability. However, merely enriching data is not enough; your team must effectively transition from insights to actionable plans. Streamline the audience segmentation process and launch your campaigns immediately across multiple channels. Make well-informed targeting decisions to maximize budget efficiency and minimize churn rates. It is vital to recognize the best timing and locations for your targeting efforts. Equip yourself with the essential tools to respond to data in real-time. Navigating the entire customer journey, alongside the diverse data types involved, has consistently been a challenge. With the rising demands of privacy regulations and the expanding distribution of data, ensuring secure and straightforward access to intent signals for effective decision-making is now more important than ever, which ultimately leads to improved operational efficiency. Additionally, a comprehensive understanding of these elements can empower organizations to adapt swiftly to changing market dynamics and consumer preferences.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Habu
LiveRamp
LiveRamp Safe Haven
Snowflake

Integrations Supported

Amazon Web Services (AWS)
Databricks
Facebook
Google
Jupyter Notebook
LiveRamp Clean Room
Microsoft Azure

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

LiveRamp

Date Founded

2011

Company Location

United States

Company Website

liveramp.com/solutions/clean-rooms/

Company Facts

Organization Name

Habu

Company Location

United States

Company Website

habu.com

Categories and Features

Data Clean Room

Not specified

Categories and Features

Data Analysis

Not specified

Data Clean Room

Not specified

Data Enrichment

Not specified

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