Vault Data Clean Room
Privacy-safe TV data clean room for advertisers and media owners.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Tatari, Inc.
- Entity type
- COMPANY
- Market role
- AdTech Vendor
- Official website
- vaultdcr.tv
What Vault Data Clean Room does
The business model is B2B software infrastructure for privacy-compliant data collaboration in TV and CTV. The product creates value by allowing advertisers and media owners to onboard first-party data, tokenise and match records securely, and measure campaign outcomes without directly exposing sensitive user-level information. As part of a wider adtech stack, it likely supports both direct software monetisation and broader platform monetisation by improving measurement, attribution and inventory activation across Tatari's TV buying ecosystem.
Category differentiation
This is not a standalone generic enterprise data clean room vendor in the broad cloud data sense. It is a TV and CTV-focused privacy and measurement product within Tatari's advertising technology ecosystem.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Vault Data Clean Room is a privacy-centric data collaboration product for TV and connected TV advertising. It enables advertisers, media owners and CTV publishers to share, match and analyse first-party data in a privacy-preserving way, supporting measurement, audience enrichment and return-on-ad-spend analysis. The product is API-integrated and uses tokenisation and identity frameworks such as Experian LUID to support anonymised matching. Based on the supplied evidence, Vault Data Clean Room should be understood as part of Tatari's broader TV advertising platform ecosystem rather than as a standalone operating company with independently evidenced corporate details. Its commercial role is to help TV and CTV buyers and sellers preserve addressability and measurement under tighter privacy constraints, creating value through software access, data collaboration workflows and tighter integration with Tatari's convergent TV buying and measurement stack.
Business model & monetisation
The monetisation model is primarily SaaS/platform-based, with API-led enterprise usage for privacy-safe data collaboration and measurement. In practice, revenue is likely generated through software access, platform licensing, and inclusion within broader Tatari media-buying and measurement relationships. Because the product sits adjacent to Tatari's DSP and measurement capabilities, it may also function as a strategic enabler that increases retention, usage and monetisable media spend across the wider platform.
- Platform licensing for privacy-safe data collaboration
- SaaS / software subscription
- Measurement and attribution workflows bundled into enterprise platform relationships
- SaaS / software subscription
- Indirect uplift to parent media-buying revenue through stronger measurement and retention
- Percentage take-rate on media spend
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
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Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
No sufficiently sourced and dated signals are available for this view.
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Questions about Vault Data Clean Room
What is Vault Data Clean Room?
Vault Data Clean Room is a privacy-safe TV and CTV data collaboration platform that helps advertisers and media owners match data and measure outcomes securely.
Who uses Vault Data Clean Room?
It is used by CTV publishers, media owners, advertisers, agencies and measurement teams working on TV and streaming advertising.
How does Vault Data Clean Room make money?
It likely monetises through platform licensing, enterprise software access and broader integration with Tatari's media buying and measurement workflows.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
14 publicly documented primary sources and citations linked across the market graph.
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