Clean Rooms

Use a clean room to collaborate securely on audience data with other parties without exposing raw data or compromising confidentiality. Providers can use their data to help companies find appropriate audiences for their products and services. Consumers can use the insights to refine their targeting strategies. Use case templates enforce rules around input data, supported queries, and privacy regulations.

Required Editions

Available in: All Editions supported by Data 360. See Data Cloud edition availability.

Configuring a clean room package requires Developer Edition.

Note This feature isn't available in Government Cloud.

• Billing Considerations for Clean Rooms
  Use of clean rooms impacts the consumption of credits used for billing on both the provider and consumer orgs in a clean room collaboration.
• How a Data 360 Clean Room Works
  A clean room provides a secure environment for parties to collaborate on data without exposing personal information. You specify which data you want to share and under which terms. All data is encrypted and never leaves the clean room. Data Cloud uses robust privacy and security measures to prevent your collaborators from viewing sensitive data while giving you full transparency into how your metadata is accessed and queried.
• Clean Room Collaboration Templates
  A collaboration template contains details about the required metadata attributes and the terms of the collaboration. Providers can create custom collaboration templates that support multiple use cases. If you’re a provider using Data 360 clean rooms, you can also use Salesforce-provided templates.
• Clean Rooms Privacy and Security
  Data Cloud clean rooms use robust privacy and security measures to keep your data secure. To collaborate, both parties must agree to the terms and conditions. All sensitive data must be encrypted with the SHA256 hashing algorithm before it enters the clean room. Hashing helps protect user identities and reduces risks if the data environment were ever compromised.
• Prepare Your Data for a Clean Room
  To share segments in a clean room, complete these steps to prepare your data. Preparation includes required steps such as ingesting the data, mapping the DLO to a DMO, hashing fields to protect personal information, and creating segments. You can share segments only in a clean room.
• Make Segment Names Available in Data 360
  Segment names are stored in the Salesforce Platform. To include them in your clean room query results, make them available in Data 360 by connecting to the Market Segment data by using the CRM Connector. If you don't ingest segment names into Data 360, your query reports only contain the segment IDs.
• Clean Room Packages on AppExchange
  If you want your use case template to be publicly discoverable by potential collaborators, create a clean room package in Data 360 and then publish it on AppExchange. Only an AppExchange partner can publish a package to AppExchange. 
• Allowlist a Clean Room Provider
  To collaborate directly with a trusted provider, add them to your Data 360 Org allowlist. When you add a collaborator to your allowlist, you can create a clean room collaboration with them.
• Map Data for a Clean Room Use Case
  Create a template to save your data mappings for a specific use case. You can create a template before a clean room collaboration is active or map your data while creating a collaboration or accepting an invitation to collaborate.
• Delete Clean Room Mapped Templates
  You can delete a mapped template if it’s not associated with an active clean room collaboration.  
• Create a Clean Room Collaboration and Invite a Provider
  To initiate a collaboration in a Data Cloud clean room, you first create a collaboration. You can use an existing use case template to map your data or create one. When you save the collaboration, an invite is sent to the provider.
• Accept or Reject a Clean Room Invitation
  If you’re a provider, when you receive an invitation to a Data Cloud clean room collaboration, you can accept or reject the request. If you accept, you can choose how to map your data for the collaboration.
• Collaborate in a Clean Room
  Use a clean room to run queries on your collective data. Compare your segment to a provider’s segments to gain deep insights.
• End a Clean Room Collaboration
  When you end a clean room collaboration, you can’t restart it. If you have permissions to run queries and receive results in the collaboration, you can still access query results and query logs from past query runs.
• Validating Clean Rooms in a Sandbox Org
  To verify query results, test your clean room packages, configurations, and data mappings in a Developer or Developer Pro Data 360 sandbox. When the query run yields expected results, deploy the mapped templates from a sandbox org to a production org. Data 360 sandboxes store metadata but not actual data, so you can test data mappings without sharing underlying data.