GCPEvidence: Low40/100

LiveRamp transforms marketing with Embedded Identity in BigQuery

LiveRamp helps businesses unlock first-party data value by embedding identity resolution into BigQuery. The approach enables secure data collaboration with trusted partners without moving data, helping marketers build a more unified customer view and improve personalization. The article highlights challenges around data silos, cross-channel identity resolution, and evolving privacy regulations.

Organization
LiveRamp
Industry
Tech & Comms
Published
May 2026

Reported outcomes

Strategic outcomes

New product / capabilityEmbedded identity resolution in BigQueryCustomer experience & trustEnabled more personalized customer experiencesBetter decisions & insightUnblocked deeper customer insightsRisk & complianceEnabled secure partner collaboration
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
LiveRamp
Provider
GCP
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

  • 1Customer data platform
  • 2Identity resolution
  • 3Data collaboration
  • Customer data was siloed across platforms and devices, making it difficult to connect touchpoints into one customer profile.
  • Marketers needed secure ways to collaborate with trusted partners while adapting to privacy regulations.
  • Incomplete customer profiles limited personalization and relevant targeting.
  • LiveRamp embedded identity resolution directly into the customer's BigQuery environment.
  • The solution brings RampID into BigQuery so teams can resolve identities within their own data and expand understanding with trusted partner data.
  • This allows secure collaboration without moving data out of the environment.
Technologies
  • The approach unlocks deeper customer insights through a unified customer view.
  • It enables more personalized and engaging customer experiences.
  • It reduces ad waste through improved audience targeting.
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: May 12, 2026Publisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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