Grow revenue with data collaboration

A data clean room is a secure environment designed for privacy-preserving data collaboration. Its multiple applications allow publishers and advertisers to analyze, match, and activate audiences without exposing or sharing raw user data.

Once audience data is structured, typical clean room applications for publishers and media owners include:

• Audience Insights
  • Brands and publishers compare audience data to quantify overlap. This provides a clear understanding of how much of a publisher’s audience matches a brand’s customer base, supporting more informed, data-driven sales strategies.
• Audience Building & Augmentation
  • Publishers and advertisers match selected audiences. Specific trait keys (such as demographic or behavioral attributes) associated with the matched audience are securely shared, enabling the receiving partner to enhance audience profiles for refined segmentation.
• High-Intent Audience Activation
  • Matching users present in both publisher and advertiser databases allows targeting of audiences with known interest or intent, improving campaign relevance without sharing user-level data.
• Prospecting
  • First-party identity graphs from publishers and advertisers are joined securely. Using privacy-preserving techniques like private set intersection, no underlying identifiers are exposed. The receiving partner can generate lookalike models based on the shared audience characteristics.
• Attribution Measurement
  • Data clean rooms enable post-campaign attribution analysis by securely matching ad-exposed users with conversion data. This process ensures accurate measurement of campaign impact while maintaining compliance with privacy regulations.

Learn how The Globe and Mail planned, targeted, and measured its campaign with VIA Rail using multiple clean room applications.

Data collaboration enhances direct sales by enabling publishers and media owners to offer more valuable, data-driven solutions to advertisers:

• First-Party Audience Activation
  • Allows activation of high-value, consented audiences in a privacy-safe environment, increasing the value of direct deals.
• Advertiser Collaboration
  • Supports secure audience matching and overlap analysis, providing actionable insights to strengthen direct proposals.
• Audience Enrichment
  • Facilitates the addition of advertiser-provided traits and attributes, enhancing audience profiles for more precise targeting.
• Reach Extension
  • Enables lookalike modeling and prospecting based on shared audiences, allowing advertisers to expand their reach while maintaining data privacy.

Yes. Optable supports secure data collaboration with partners who are not Optable customers to streamline the process through several options:

• Optable Flash Nodes
  • A lightweight solution that allows publishers to invite advertisers to collaborate without requiring a direct contract with Optable. Flash Nodes are self-serve, quick to set up, and available at no cost to the invited partner. Ideal for campaign execution or proof-of-concept collaborations.
• External Cloud Collaboration
  • Optable enables collaboration with partners using environments such as BigQuery, AWS or Snowflake. Data remains within the partner’s cloud environment, and no trust in Optable or data transfer is required, ensuring a privacy-preserving approach. Read more on how BigQuery users can activate and monetize data with Optable.
• PAIR Clean Room for Interoperability with Clean Room Vendors
  • Optable supports interoperability with other clean room vendors through the PAIR protocol. This allows publishers to collaborate with advertisers using a different clean room provider via Optable’s dedicated PAIR Clean Room environment. Read more about Optable PAIR clean room capabilities here.

These options offer flexible, secure collaboration pathways for publishers working with a range of advertiser partners, regardless of their existing tech stack.

Low data overlap is common, especially in early-stage collaborations or when working with niche audiences. In these cases, Optable supports several options to help publishers and their advertising partners still extract value:

• Audience Insights
  • Even with low overlap, insights from the matched segment can inform future targeting strategies and support sales conversations with data.
• Audience Prospecting and Lookalike Modeling
  • The matched audience can serve as a seed for building prospecting or lookalike models within the partner’s environment, expanding reach while maintaining privacy.
• Audience Augmentation
  • Trait-level data from the partner can help enrich even small overlapping segments, enabling more refined audience segmentation and targeting.

These capabilities allow publishers to move beyond pure scale and focus on relevance, intent, and strategic value, regardless of overlap size.

Audiences created through data collaboration in Optable Clean Room can be activated directly within the platform. Optable supports both ad-serving and ad-buying workflows in a single environment, making the process seamless and privacy-compliant.

For ad serving, matched audiences can be delivered to platforms such as Prebid and Google Ad Manager to support direct campaigns. For programmatic activation, audiences can be automatically sent to demand-side platforms (i.g, DV360, The Trade Desk) through the Optable Syncs feature, enabling monetization strategies that leverage the collaborated audience segments.

This unified approach eliminates the need for manual exports or additional integrations, allowing publishers and their advertising partners to activate audiences efficiently.

Learn more about audience activation in our article.