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Brief
Oracle Advertising ceased operations on September 30, 2024
Oracle Advertising

Oracle Advertising

Data-Driven Advertising & MeasurementDivision· part of Oracleoracle.com

Oracle Advertising offered enterprise advertisers a unified suite of data management, audience targeting, brand safety, contextual intelligence, and measurement tools powered by one of the largest third-party data assets in the industry.

Last updated Jul 4, 2026 by ATDb automated enrichment · Connections updated Jul 15, 2026

Founded
2014
HQ
Austin, Texas, United States
Parent
Connections
50

At a glance

Employees
1001-5000
Revenue
$300M (at shutdown, 2024); ~$2B at peak (2022)
Stock
ORCL
30integrations6competitors7corporate family

About

Formerly one of the largest enterprise adtech data providers globally, offering an end-to-end stack from audience data and DMP to measurement and contextual targeting before shutting down in 2024.

Oracle Advertising was the advertising technology division of Oracle Corporation, built through a series of major acquisitions totaling over $4 billion between 2014 and 2019. At its peak, it represented one of the most comprehensive adtech stacks in the industry, combining data management, audience targeting, brand safety, contextual intelligence, and measurement capabilities under a single enterprise umbrella. Key acquisitions included Datalogix (offline data, 2014), BlueKai (DMP, 2014), AddThis (audience data, 2016), Moat (measurement and attention analytics, 2016), Grapeshot (contextual targeting, 2018), and Zendata. The division operated under the Oracle Data Cloud brand and served major advertisers, agencies, and publishers globally. At its height around 2022, Oracle Advertising generated approximately $2 billion in annual revenue, positioning it as a formidable competitor to The Trade Desk, Nielsen, and other data-driven advertising platforms. Its BlueKai DMP was among the most widely deployed data management platforms in the industry, and Moat's attention and viewability metrics were broadly adopted by premium publishers and brand advertisers. Grapeshot's contextual targeting engine gained renewed relevance as the industry began preparing for a post-cookie world. However, the division's business model was deeply dependent on third-party data and cookie-based tracking infrastructure that came under sustained regulatory and platform-level pressure. The combination of GDPR enforcement, Apple's iOS 14.5 App Tracking Transparency framework, Google's extended cookie deprecation timeline creating market uncertainty, and Meta's restriction of third-party data sharing collectively eroded the foundation of Oracle Advertising's revenue model. By 2024, annual revenue had fallen to approximately $300 million — a decline of roughly 85% from its peak. On June 13, 2024, Oracle announced it would exit the advertising business entirely, and all products and services were sunset on September 30, 2024. The shutdown marked one of the most dramatic collapses in adtech history, underscoring the existential risk that privacy regulation posed to businesses built on third-party data aggregation and cookie-based targeting.

Business model

Data & SaaS

Target market

Enterprise

What they offer

  • BlueKai DMP

    Data management platform for audience segmentation, data onboarding, and third-party audience targeting at scale.

  • Moat Analytics

    Brand measurement and attention analytics platform providing viewability, invalid traffic detection, and attention metrics for advertisers and publishers.

  • Grapeshot

    Contextual targeting and brand safety engine using NLP to classify page content for keyword and topic-level ad targeting.

  • AddThis

    Audience data platform derived from a large publisher network, providing behavioral and interest-based audience segments.

  • Datalogix

    Offline purchase data platform linking digital ad exposure to in-store sales outcomes for CPG and retail advertisers.

  • Oracle Data Marketplace

    Third-party audience data marketplace enabling advertisers to activate premium data segments across programmatic channels.

Key features

Third-party audience data at scale via BlueKai DMPViewability and attention measurement via MoatContextual targeting and brand safety via GrapeshotOffline-to-online data linkage via DatalogixCross-channel audience activationInvalid traffic (IVT) detection and fraud preventionData onboarding and identity resolution

Use cases

Audience segmentation and programmatic targeting for brand advertisersViewability and attention measurement for premium publishersBrand safety and contextual suitability enforcementOffline sales lift measurement for CPG and retail campaignsThird-party data activation across DSPs and walled gardensData management and onboarding for enterprise marketers

Customer segments

Fortune 500 brand advertisersGlobal media agencies and agency trading desksPremium digital publishersCPG and retail marketersFinancial services advertisersAutomotive advertisers

Tech & specs

Technology stack

BlueKai tag-based data collectionNatural language processing (Grapeshot contextual engine)Machine learning for audience modelingReal-time bidding integrationsOracle Cloud InfrastructureIdentity resolution and cookie-based tracking

Security & compliance

GDPRCCPAIAB TCFSOC 2

Deployment

Cloud

API

No

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