The Top 5 Data Clean Rooms You Should Know & How StatSocial Makes Them Even More Powerful

Data clean rooms are essential for marketers looking to collaborate on data while maintaining privacy and security. But a clean room without the right data is just an empty space.

This is where StatSocial comes in.

We connect the dots between social media behavioral data and the rest of the martech stack, giving first party data owners a deeper, privacy-safe view of their audience’s most important interests, media habits, influencer relationships, and brand affinities.

Here, we highlight leading clean room platforms–LiveRamp, Snowflake, Databricks, AWS Data Exchange, and Google BigQuery–and how marketers use these cleanroom platforms to take their data to the next level.

1. LiveRamp: Revolutionizing data clean rooms

LiveRamp’s clean rooms enable brands to securely share and activate data, making it a top choice for organizations seeking to enrich their data with privacy-compliant insights. Its robust identity resolution capabilities facilitate seamless data integration across various platforms. LiveRamp is ideal for enterprises aiming for comprehensive data collaboration while maintaining strict privacy controls.

If you’re looking to learn more about LiveRamp’s data clean rooms, we recommend downloading this resource guide.

2. Snowflake: The data cloud for secure collaboration

Snowflake simplifies data sharing at scale, maintaining strict privacy controls. Its flexibility and real-time collaboration features make it suitable for organizations that require scalable and efficient data sharing solutions. Snowflake is particularly well-suited for businesses that need to manage large volumes of data with agility.

We encourage you to check out this blog post showcasing how NBC Universal leverages Snowflake data clean rooms.

3. Databricks: Unified data and AI for clean rooms

Databricks excels in handling large, complex datasets, offering advanced machine learning and analytics capabilities. It’s an excellent fit for organizations focused on predictive audience modeling and AI-driven insights. Companies aiming to leverage AI for data analysis will find Databricks’ clean room solutions particularly beneficial.

To learn more about Databricks and their data clean rooms, we recommend downloading their all encompassing guide.

4. AWS Data Exchange: Access to third-party data for clean rooms

AWS Data Exchange provides access to a vast array of third-party data sources, allowing businesses to enrich their datasets while maintaining privacy. It’s ideal for organizations looking to enhance their data insights through external data partnerships. Companies seeking to broaden their data horizons with trusted external datasets will benefit from AWS’s offerings.

Check out their solution page to learn more.

5. Google BigQuery: Scalable analytics for data clean rooms

Google BigQuery’s serverless architecture is designed for managing massive datasets in a privacy-compliant manner. Its speed and scalability make it suitable for organizations that require rapid data analysis and insights. Businesses needing efficient processing of large-scale data will find BigQuery’s clean room solutions advantageous.

To learn more, explore their solution offering.

Maximizing data clean rooms with StatSocial audience data

While platforms like LiveRamp, Snowflake, and Databricks provide the infrastructure for data clean rooms, StatSocial delivers the audience insights needed to unlock their full potential.

StatSocial is the industry’s leading provider of cross-platform social audience insights, offering detailed insights into any consumers’ interests, preferences and affinities based on their social engagement.

Across any specific audience segment, StatSocial provides unique access to detailed insights like those engaging with specific:

• Topics of interest (e.g. health & wellness, parenting, politics)
• Influencers & content creators (e.g. celebrity to nano, topic-based)
• Media channels (e.g. podcasts, TV networks, digital publications)
• Brands (e.g. Retail, CPG, technology, auto)
• Social platforms (e.g. TikTok, Instagram,YouTube)

Collectively, this data allows for precise planning and execution of marketing strategies, ensuring that your messaging resonates with highly engaged and relevant audiences where they engage most.

By leveraging StatSocial audience data, both B2C and B2B organizations can:

1. Fill critical gaps in their datasets by integrating self-declared audience data from major social platforms at scale.
2. Gain actionable insights by analyzing an audience’s interests, media preferences, trusted influencers, and brand affinities for more accurate planning.
3. Enhance segmentation by understanding how different customer groups vary including the different channels, influencers and topics they engage with.
4. Activate out-of-the-box segments like healthcare, finance or media and entertainment segments for highly targeted campaigns.
5. Take action on custom segments such as organically exposed audiences for sales and brand lift studies.
   
   

Most importantly, StatSocial audience data aligns seamlessly with the privacy standards of data clean rooms, ensuring compliance while delivering actionable insights.

Transform your marketing strategies by integrating social audience data into your clean room environments

Data clean rooms are only as valuable as the insights they generate. By integrating StatSocial’s audience data into platforms like LiveRamp, Snowflake, and Databricks, businesses can enrich their clean rooms with the kind of detailed, actionable data needed to drive impactful campaigns.

Whether it’s identifying the right influencers, uncovering media consumption habits, or refining audience segments, StatSocial helps businesses unlock the full power of their clean room strategies.

Contact us or request a demo to learn how our audience insights can transform your marketing strategy.