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Brief
Oracle Data Cloud ceased operations on January 1, 2024
Oracle Data Cloud

Oracle Data Cloud

Data Management, Audience Targeting, Ad MeasurementProduct· part of Oracle Advertisingoracle.com

Oracle Data Cloud offered advertisers and publishers a unified platform for audience data activation, brand safety, contextual targeting, and campaign measurement — powered by one of the largest third-party data assets in the industry.

Last updated Jul 13, 2026 by the ATDb Editorial Team

Founded
2014
HQ
Austin, Texas, United States
Connections
178

At a glance

Employees
1001-5000
Funding
$0
Revenue
$300M (2024, at shutdown); ~$2B at peak (2022)
Stock
ORCL
158integrations6competitors1corporate family

About

Was one of the largest third-party data and audience intelligence providers in the global AdTech ecosystem before shutting down in 2024

Oracle Data Cloud (renamed Oracle Advertising) was the advertising technology division of Oracle Corporation. Oracle announced end-of-life for its advertising business on June 13, 2024, and shut down all advertising products on September 30, 2024 (revenue had declined from ~$2B in FY2022 to ~$300M in FY2024). At its peak, it was built through a series of high-profile acquisitions between 2014 and 2019. At its peak, it represented one of the most comprehensive data stacks in the industry, combining Datalogix (offline purchase data), BlueKai (data management platform), AddThis (behavioral data), Moat (attention and viewability measurement), and Grapeshot (contextual intelligence). The platform enabled advertisers, agencies, and publishers to activate audience data, measure campaign effectiveness, and apply brand safety controls at scale across the open web. Oracle Data Cloud held a dominant position in the third-party data ecosystem, with BlueKai's DMP serving as a cornerstone infrastructure for programmatic advertising and Datalogix's purchase-based audiences being among the most sought-after targeting segments in the industry. Moat became a widely adopted measurement standard for viewability and attention metrics, while Grapeshot's contextual targeting capabilities gained renewed relevance as the industry began moving away from cookie-based targeting. At its height, the division generated approximately $2 billion in annual revenue. However, Oracle Data Cloud's business model proved deeply vulnerable to structural shifts in the digital advertising landscape. The combination of GDPR enforcement, Apple's App Tracking Transparency (iOS 14.5) framework, Google's prolonged cookie deprecation timeline, and Meta's decision to restrict third-party data partnerships systematically eroded the third-party data ecosystem on which Oracle's ad-tech products depended. Revenue declined approximately 85% from roughly $2 billion in 2022 to an estimated $300 million by 2024. Oracle announced it would wind down all advertising technology products, with operations ceasing by September 30, 2024. The shutdown marked one of the most significant collapses in AdTech history, underscoring the fragility of businesses built on third-party data infrastructure.

Business model

Data Licensing, SaaS, Usage-based

Target market

Enterprise

What they offer

  • BlueKai DMP

    Data management platform enabling audience segmentation, third-party data activation, and programmatic targeting across the open web

  • Datalogix

    Offline purchase and consumer data platform linking retail and CPG purchase behavior to digital advertising audiences

  • Moat Analytics

    Viewability, attention, and brand safety measurement platform used by advertisers and publishers to verify ad exposure quality

  • Grapeshot

    Contextual intelligence and brand safety platform using NLP to classify page content for keyword and topic-based targeting

  • AddThis

    Behavioral data network derived from social sharing and content engagement signals across millions of publisher sites

  • Oracle Audience Data Marketplace

    Curated marketplace of third-party audience segments for programmatic activation across DSPs and social platforms

Key features

Third-party audience data activation at scaleOffline-to-online data linkage via DatalogixViewability and attention measurement via MoatContextual targeting and brand safety via GrapeshotData management platform (DMP) via BlueKaiCross-device identity resolutionIntegration with major DSPs, SSPs, and social platformsAudience suppression and lookalike modeling

Use cases

Programmatic audience targeting using purchase-based segmentsBrand safety and contextual suitability enforcementViewability and attention measurement for digital campaignsDMP-based first- and third-party data unificationOffline sales lift measurement for digital ad campaignsAudience suppression to reduce wasted ad spend

Customer segments

Enterprise advertisers and brand marketersAdvertising agencies and trading desksDemand-side platforms (DSPs)Publishers and supply-side platforms (SSPs)CPG and retail brandsFinancial services advertisers

Tech & specs

Technology stack

Big data processing (Hadoop ecosystem)Machine learning for audience modelingNatural language processing (Grapeshot contextual engine)Real-time bidding integrationsCloud infrastructure (Oracle Cloud)Identity resolution and cookie-based trackingTag-based data collection (AddThis, BlueKai)

Security & compliance

GDPRCCPANAI membershipDAA complianceSOC 2

Deployment

Cloud

API

Yes

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