Originally appeared on Adweek
The advertising industry is experiencing a significant shift resulting from Oracle’s market exit. Over the years, Oracle’s advertising tools—built through key acquisitions like Crosswise, BlueKai, Datalogix, and Grapeshot—have become essential for many marketers, data providers, and platforms. With Oracle’s departure, stakeholders are left searching for reliable alternatives to maintain their data-driven strategies.
While this transition may seem daunting, it presents a unique opportunity to reassess audience and identity solutions. With the growing importance of adaptability and interoperability, now is the perfect time for advertisers, agencies, publishers, and platforms to adopt future-focused strategies.
Oracle’s legacy: A combination of acquisitions
Oracle’s advertising business wasn’t a unified solution but a collection of acquired technologies. Crosswise provided a cross-device identity graph; BlueKai offered a robust data management platform (DMP); Datalogix specialized in offline purchase data; and Grapeshot was known for its contextual targeting. Together, these tools powered a comprehensive offering for advertisers, data providers, and platforms.
Yet, much of Oracle’s advertising success stemmed from the external data it used. For example, many of Oracle’s automotive audiences relied heavily on third-party data, largely powered by Experian data. This means that while Oracle may no longer be an option, many of the services marketers depended on through Oracle are still available from Experian, ensuring continuity.
What this means for advertisers and agencies
For advertisers and agencies, Oracle’s exit means losing access to its syndicated audiences. Fortunately, this doesn’t have to cause a major disruption. As one of Oracle’s primary data providers, we’ve mapped Oracle’s audiences to our own, ensuring marketers can easily maintain their targeting strategies without losing performance or efficiency.
With access to over 2,400 syndicated audiences across key verticals such as demographics, automotive, retail purchases, or financial data, advertisers can continue their campaigns with confidence and precision.
What sets us apart? Powered by data ranked #1 in accuracy by Truthset, our audiences are built on reliable, offline, deterministic data — like name, address, phone number, and email. This means advertisers can be confident that they are reaching the right audiences across all channels. With our audiences available across 30+ ad platforms, including programmatic, TV, and social media, advertisers and agencies have easy access to keep their campaigns running.
For advertisers that ran audience targeting using Grapeshot’s Contextual Platform, our new Contextually-Indexed Audiences are a replacement built for the evolving digital media landscape. By combining the precision of audience targeting with the flexibility of contextual targeting, marketers get a privacy-safe, yet scalable way to target audiences that is not reliant on cookies or other user identifiers. Marketers can activate these audiences through leading demand-side platforms (DSPs) or through Audigent private marketplaces (PMPs).
A new opportunity for data providers
Oracle’s marketplace has long been a crucial distribution channel for third-party data providers, particularly through BlueKai. With its closure, providers have an opportunity to explore new onboarding services and marketplaces that offer similar or even better reach and effectiveness.
New alternative onboarding solutions are emerging, particularly in areas like TV and digital, ensuring that the loss of Oracle’s services does not leave a significant gap. These solutions are being built to overcome the challenges typically present with data onboarding — complicated integration processes, limited ID matching capabilities, and opaque pricing structures. One such solution is Experian’s new Third-Party Onboarding.
What sets us apart? With our digital and offline identity capabilities embedded within this solution, data providers receive superior programmatic and connected TV (CTV) reach and addressability compared to the competition. The first data providers – Adentro, Kontext, L2, and Webbula – are already using this solution to increase the adoption of their audiences and maximize their revenue.
Additionally, new marketplaces are emerging that aim to fill the void left by Oracle, offering distribution to key destinations and providing data providers with continued access to advertisers who require high-quality, third-party data.
Platforms shift to new audience solutions
Platforms that relied on Oracle for third-party data and audience onboarding are now facing challenges in maintaining their ability to target specific audiences. This could affect their inventory’s attractiveness to buyers. However, we offer a seamless solution for platforms looking to replace Oracle’s capabilities.
As one of Oracle’s primary data providers, we’ve already mapped Oracle’s audiences to our catalog of over 2,400 syndicated audiences. Platforms can continue providing precise audience targeting and ensure advertisers receive the performance that they demand.
Additionally, Third-Party Onboarding builds upon the investment and infrastructure used to distribute our own audience segments, providing platforms with audiences from leading third-party data providers.
Moving forward: Embracing connectivity
We’re dedicated to powering data-driven advertising through connectivity. With best-in-class syndicated audiences, new Contextually-Indexed Audiences, and an easy-to-use Third-Party Onboarding solution, we’re enabling advertisers, agencies, data providers, and ad platforms to improve their marketing operations.
Oracle’s departure marks the end of one era, but it also opens the door to a future where collaboration, interoperability, and connectivity define the landscape. By choosing partners like us, advertisers, agencies, and platforms can ensure they remain agile, innovative, and well-equipped to thrive in this new era of data-driven marketing.
Reach out to your account representative or our audience team for information about our comprehensive audience mapping and finding the right audiences for your campaigns.
Download our audience lookbook to discover more about Experian’s audiences.
Contact us
Latest posts
In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts
Reach buyers based on how they shop in a changing market. Experian Audiences help target switchers, align to budgets, and match messaging to inventory.
Explore how Experian utilizes AI to power data-driven programmatic advertising with greater accuracy, efficiency, and consumer trust.