At A Glance
Updated in 2025 after Experian’s acquisition of Audigent and Google’s decision to retain third-party cookies, this article explains that signal fragmentation remains. Experian is evolving its Digital Graph and integrating Audigent’s capabilities, while working with partners like The Trade Desk and ID5 to deliver privacy-safe reach, measurement, and performance across traditional identifiers and emerging alternatives.Experian offers a suite of next-generation tools built on the Experian Digital Graph to help marketers adapt to ongoing signal fragmentation and privacy regulation. These solutions enable brands to maintain behavioral targeting and campaign performance even as traditional signals decrease.
Through Experian’s integration with Audigent, we now offer early access to Curated Deals, contextually-indexed audiences, and Geo-Indexed Audiences that help advertisers test privacy-first audience activation in a period of accelerating signal fragmentation.
Experian and Audigent offer a data management platform (DMP) that enables publishers to collect, manage, and understand their first-party data, while also accessing third-party data, to better monetize their data assets.
At the same time, Experian continues to advance its signal-agnostic Digital Graph, which already covers industry-standard universal IDs, like Unified ID 2.0 (UID2) and ID5, as well as both IPv4 and IPv6, which are becoming more and more prevalent.
Together, these updates give marketers a reliable, privacy-forward foundation for audience reach, cross-device targeting, and measurement as signal fragmentation continues to reshape digital advertising.
How is Experian’s Digital Graph evolving in a multi-signal world?
Signal fragmentation is reshaping how marketers reach and measure audiences, so we continue to strengthen the Experian Digital Graph to keep performance steady across channels. Recent updates focus on improving connectivity, accuracy, and durability:
- More signals to keep reach strong: We added IPv6 and phone-based UID2s to our Digital Graph, building on the hashed email (HEM)-based UID2s we already support.
- Better AI models for cleaner identity data: We improved our AI clustering and device classification models to sharpen ID resolution.
- More stable customer profiles: We enhanced stability in our Digital Graph by tying it more closely to our Offline Graph, ensuring more complete customer profiles that last over time.
Together, these updates give marketers a more resilient identity foundation and help maintain performance in a market defined by rising signal fragmentation.
How is Experian advancing contextual targeting and geo-based targeting with our partners?
AWith more signals in market and traditional identifiers becoming less reliable advertisers are returning to tactics that don’t rely on cookies. Contextual targeting and geo-based targeting have both delivered results for years, and are becoming even more important as marketers look for consistent ways to reach audiences without relying on ID-level data.
Experian is modernizing these approaches by pairing Experian Marketing Data with contextual and geographic signals to create privacy-first activation paths that hold up as identifiers fade.
With our acquisition of Audigent, we’re expanding the ways marketers can activate privacy-forward audiences at scale. Together, these capabilities strengthen how brands reach people with relevant experiences, even as traditional IDs fade:
- Contextually- Indexed Audiences: We index Experian’s syndicated audiences against contextual signals inside private marketplace (PMP) deals using Experian’s Digital Graph and Audigent’s Hadron ID. In a 15-day test with a national advertiser, this ID-less approach exceeded click-through rate goals by 25% while matching the scale and delivery of ID-based campaigns.
- Geo-Indexed Audiences: We also offer Geo-Indexed Audiences that use location-based signals to reach consumers in the right places and moments, providing another durable option when IDs are unavailable or restricted.
- Evolving toward more intent-rich signals: Looking ahead, we are developing ways to incorporate additional intent indicators, such as content consumption patterns and repeated contextual behaviors, to give marketers stronger cues about where their audiences are in their decision process, all without relying on user-level identifiers.
Together, these tactics make contextual and geo-based targeting more measurable, scalable, and privacy-safe, helping marketers keep performance steady as signal fragmentation accelerates.
Which alternative IDs does Experian’s Digital Graph support?
Experian’s signal-agnostic Digital Graph is designed to interoperate across identity frameworks and connect digital identifiers into a single, privacy-compliant system. It now supports alternative IDs such as:
- UID2s
- ID5 IDs
- HEMs
- Connected TV (CTV) IDs
Our Digital Graph is rebuilt weekly to maintain high accuracy and addressability across campaigns. These capabilities ensure marketers can continue cross-device activation and measurement as legacy signals decline.
“Experian is a valued partner in Nexxen’s unified identity graph powering the Nexxen data platforms, which bring us the ability to seamlessly onboard client data, activate campaigns, and measure performance while maximizing biddable opportunities for our advertisers. They help ensure our clients can continue reaching audiences at scale and successfully execute campaigns.”
NexxenChance Johnson, Chief Commercial Officer
What’s next for Experian’s identity and connectivity roadmap?
As digital signals change and CTV viewership grows, we continue to expand the identifiers supported within the Experian Digital Graph. Recent additions such as IPv6 and phone-based UID2s, alongside existing IPv4 and email-based IDs, help marketers and platforms understand the full customer journey across screens and households within a privacy-first framework.
We are committed to maintaining and increasing connectivity in the digital world, ensuring that clients can reach their audiences even as familiar signals decline. A core part of that commitment is strengthening the overlap between our Offline and Digital Graphs. This work improves cross-channel consistency and gives marketers more reliable links between individuals, households, and devices.
As we keep investing in identity resilience, clients can expect ongoing innovation that supports addressability and performance despite evolving privacy constraints.
How can marketers maintain addressability at scale today?
Experian’s connected toolkit of signal-agnostic advertising solutions empowers brands to continue reaching audiences with confidence:
- Identity resolution through Experian’s Digital Graph
- Curation via Audigent
- Cross-device measurement built for privacy compliance
- Universal ID interoperability across platforms
As the industry adjusts to signal fragmentation, Experian provides the scale, trust, and connectivity required to sustain effective targeting.
A resilient path forward for addressable advertising
As the AdTech industry continues to evolve, Experian’s Digital Graph continues to power interoperability, scale, and privacy-safe measurement.
With data ranked #1 in accuracy by Truthset, collaborations across the AdTech ecosystem, and ongoing support for universal IDs, Experian gives marketers a reliable path to addressable, measurable, and privacy-first advertising.
Connect with our team
About the author

Budi Tanzi, VP of Product and Solution Engineering, Experian Marketing Services
Budi Tanzi is the Vice President of Product at Experian Marketing Services, overseeing all Identity Products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible.
FAQs
Experian’s Digital Graph enables consistent audience targeting and measurement across browsers and devices using privacy-compliant identifiers. It connects verified digital data, giving advertisers continuity as traditional IDs become less reliable.
Experian’s Digital Graph supports consistent audience targeting and measurement across browsers and devices using privacy-compliant identifiers. By connecting verified digital data, the Digital Graph gives marketers continuity as signals such as cookies, device IDs, and IP-based identifiers become less reliable. Recent updates, including IPv6, phone-based UID2s, and improved AI clustering, help you maintain reach and accuracy even as digital signals shift.
Experian works with a variety of partners to source digital IDs. We work with The Trade Desk and ID5 to incorporate their universal IDs into our Digital Graph. Additionally, Audigent, now a part of Experian, offers Curated Deals, which are a non-cookie dependent way to provide reach and relevance.
Yes. Experian’s identity and data solutions align with IAB Data Privacy Standards and regulations such as the California Consumer Privacy Act (CCPA), ensuring transparent and compliant data use.
Our current focus is to increase the overlap between our Offline and Digital Graphs, enabling more cross-channel addressability for our clients. We also continue expanding supported identifiers and improving our AI models to maintain performance as signal fragmentation grows.
You can reach out directly to explore privacy-first activation options, including contextual, geo-indexed, curated deals, and ID-based strategies supported by the Experian Digital Graph.
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In this article…Why AI and CTV are a great matchThe rising popularity of CTVHow is AI already being used in CTV?Demand-side platforms Artificial intelligence (AI) and connected TV (CTV) have a perfect synergy that’s revolutionizing how advertisers connect with their audiences. CTV serves as a medium for streaming content, while AI acts as a sophisticated technology that improves the performance of CTV advertising campaigns. The integration of these two technologies has paved the way for advertisers to reach their target audience more effectively, making CTV advertising a powerful and efficient tool. In this blog post, we’ll dive into how these technologies work together — and why you should jump on board with AI for CTV advertising if you haven’t already. Why AI and CTV are a great match CTV and AI are transforming how advertisers connect with their audiences and improving the performance of their advertising campaigns in the CTV space. They work together to make advertising smarter and more enjoyable for everyone involved. AI uses sophisticated computer programs to analyze and understand data, while CTV refers to the streaming services that consumers use at home. But what makes them a great match in advertising? AI uses data to determine which TV ads are most exciting and relevant to certain people, and it can even adjust ads in real time to ensure viewers are always getting the most personalized experience. AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. To sum it up, AI allows for: Precise targeting: AI uses data to determine which TV ads are most exciting and relevant to certain people. Personalization: AI can adjust ads in real time to ensure viewers are always getting the most personalized experience. Effective ad insertion: AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. CTV facilitates these AI-driven strategies for enhanced user engagement and satisfaction. The rising popularity of CTV CTV has become increasingly popular as people change the way they watch TV. Instead of the traditional approach, more viewers are now choosing CTV platforms for their entertainment. One of the main reasons for this shift is that CTV offers greater flexibility and lets viewers watch content at their convenience. The ability to skip ads on many CTV platforms also improves the experience. CTV offers a great opportunity to interact with your target audience in a more engaging way. CTV allows for highly targeted advertising capabilities so you can reach specific demographics and households with tailored messages. Additionally, CTV provides valuable data insights that enable you to measure campaign effectiveness accurately. If you haven’t embraced this advertising channel yet, you may be missing out on a growing and engaged audience. Here are three reasons you should add CTV to your advertising strategy. Global video ad impressions As a global platform, CTV has the unique ability to reach audiences worldwide. Unlike traditional TV, CTV transcends geographical boundaries and brings marketers a global audience, which makes it an ideal channel for global ad campaigns. No matter your target audience, they’re consuming content on CTV. In fact, a recent study showed that 51% of global video ad impressions came from CTV in 2022. This abundance of global video ad impressions generates vast amounts of data, which AI can process in real time to help you make data-driven decisions and optimize your campaigns for diverse international audiences. AI can analyze viewer data from various regions, identify audience preferences and behaviors across borders, and tailor ad content accordingly. These data analysis capabilities ensure your ads get in front of the right viewers. Viewers prefer ad-supported CTV In 2020, the viewing time of ad-supported CTV surged by 55% while subscription video on demand decreased by 30%, according to TVision Insights. Viewers have a well-established preference for ad-supported CTV due, in part, to cost-effective access to premium content. Viewers are more engaged and less resistant to ads, as AI tailors ad content to viewer preferences and behavior to enhance ad relevance. AI-powered insights can also aid in viewer retention and help you optimize your CTV campaigns. By accommodating viewers’ preference for ad-supported CTV and harnessing AI to improve the ad experience, you’re more likely to be successful in your marketing efforts. CTV outpaces mobile and desktop for digital video viewing eMarketer recently reported that U.S. adults spend 7.5+ hours each day on CTV — more than half of their digital video viewing time. Comparatively, they only spend 37.5% of their viewing time on mobile and 10% on desktops and laptops. These statistics demonstrate that CTV has become the preferred platform for digital video consumption, as viewers enjoy larger screens with superior quality for an immersive experience. It's important to note that AI is an essential CTV marketing tool, as it allows for precise targeting and content optimization. By utilizing AI on CTV, you can take advantage of this trend and deliver more engaging and effective campaigns to a growing and engaged audience. How is AI already being used in CTV? CTV has been integrated with AI across various facets and has revolutionized the television landscape. Here's a look at how AI is already shaping the CTV experience: Generative AI ads Generative AI ads are taking CTV personalization to a whole new level. These innovative ads are customized versions of the same CTV ad to suit individual viewers. Some AI tools can generate several versions of the same CTV ad — swapping the actor’s clothing and voiceover elements like store locations, local deals, promo codes, and more — and can create up to thousands of personalized iterations in just a few seconds. Such capabilities are a game-changing approach to connecting with your audience. Next, we dive into the advantages and impact of generative AI ads, and explore their transformative role in CTV advertising. Contextual ads vs personal data Generative AI ads use personal data, such as viewing history and demographics, to create highly personalized ad experiences. This sets them apart from contextual ads, which rely solely on the content being viewed. Using AI to harness this data, you can move beyond traditional contextual targeting and ensure your ads connect with viewers on a more individualized level. Generative AI ads can be used to A/B test Generative AI ads are not just about personalization; they also open the door to A/B testing. Being able to create several versions of one ad quickly allows you to experiment with various ad elements, such as messaging, visuals, and calls to action, to identify what works best for different segments of your audience and drives the best performance. This flexibility is especially valuable for refining ad campaigns and maximizing their impact. What’s next for AI-generated ads like this? The potential of AI-generated ads is exciting. As AI technologies constantly advance, we can expect even more personalized and automated CTV advertising. It’s a good idea to keep up with the latest AI-driven innovations to create more effective ad campaigns in the fast-evolving CTV space. The possibilities are endless, and you’ll likely find the most success when you embrace AI in CTV advertising. Optimize streaming quality AI helps viewers enjoy more seamless CTV experiences. By assessing network speed and user preferences, AI optimizes video quality in real time to reduce buffering interruptions. For instance, streaming platforms use AI to adjust video settings based on a user's connection speed. This guarantees an uninterrupted and enjoyable viewing experience. Review content for compliance AI also has a part to play in quality assurance and compliance management. It assesses content alignment with technical parameters and moderates compliance with local age restrictions and privacy regulations. This means AI can identify and filter out unsuitable content to provide a safer and more enjoyable viewing environment for audiences while safeguarding brands from association with undesirable material. Voice command AI-powered voice command technology is increasingly used to control CTV viewing. This technology is embedded in streaming devices and smart TVs and allows viewers to interact with their CTV content through voice-activated commands. This personalizes the viewing experience and improves convenience, as it eliminates the need for remote controls. CTV-integrated voice assistants like Google Assistant, Amazon Alexa, Apple Siri, and Samsung Bixby offer a more human-like interaction with the television, allowing users to give commands and receive tailored responses. Content recommendations AI can offer content recommendations that provide viewers a more personalized and engaging experience. Major over-the-top (OTT) services like Netflix, Hulu, and Amazon Prime use AI-driven data analysis to deliver tailored content suggestions to their audiences. By analyzing user habits in detail, AI can recommend content based on factors such as actors, genres, reviews, and countries of origin. This personalized approach helps viewers discover content that matches their preferences and enhances their viewing experience. Advertising Programmatic ad buying, driven by AI, automatically matches ad placements to specific audience segments based on behavioral patterns. It improves ad delivery by moving away from gross rating points (GRP) to more intelligent and targeted placements. This benefits marketers by ensuring ads are seen by the right people at the right time. It’s also cost-effective for publishers, as it maximizes the sale of ad spots to suitable buyers. Automatic content recognition (ACR) technology, which AI powers, is integrated into smart TVs and streaming devices to improve ad relevance. It provides contextual targeting and extends the reach of ads across multiple devices. For example, platforms like Roku use ACR data to display ads to viewers who haven’t seen them on traditional TV. Similarly, Samba TV retargets mobile users based on IP address and aligns their viewing habits with their smart TVs. Demand-side platforms CTV advertising relies heavily on demand-side platforms (DSPs) to efficiently manage and optimize ad campaigns. These platforms use machine learning and AI in several important ways: Using machine learning and AI to address data fragmentation Data is abundant but fragmented when it comes to CTV advertising. DSPs are flooded with a massive amount of data, including information about households, viewer behavior, and viewing patterns. This data is far too much for manual analysis to handle effectively, which is where AI comes in. By integrating machine learning algorithms into DSPs, AI can harmonize this fragmented data and provide valuable insights and a holistic view of your audience. AI can process zettabytes of data in real time, which streamlines the decision-making process and empowers you to compete quickly for limited CTV impression opportunities. Predicting advertising outcomes with AI AI is quickly changing the way we predict and optimize advertising outcomes. TV buying and optimization platforms are now using AI to improve ad performance. With machine learning, these platforms can anticipate which ad creatives will produce the best results based on various non-creative factors. These include the context of the ad, the audience's profiles, the time of day it is displayed, and the frequency of the ad display. By relying on AI to make these predictions, you can make sure your campaigns are highly optimized for success and deliver more relevant, compelling ads to viewers. Optimizing generative ads AI is also driving optimization in generative ads. These personalized versions of the same CTV ad can be tailored to suit individual viewers. By utilizing AI-driven analytics, DSPs can process extensive amounts of data in real time and optimize generative ads to ensure they align with viewers' preferences and behaviors. This level of personalization is a game-changer in CTV advertising that boosts engagement and delivers content that truly resonates with the audience. Add AI to your CTV strategy today Integrating AI into your CTV strategy can help you stay competitive and ensure your ad campaigns are effective and engaging. At Experian, we’re ready to help you elevate your CTV advertising and implement AI as part of your strategy. Our solutions, such as Consumer View and Consumer Sync, provide valuable audience insights, enhance targeting capabilities, and optimize engagement on TV. Plus, our partnerships with leading media marketing solutions can help you achieve greater success through effective advanced television advertising. As you incorporate AI into your CTV strategy, you’ll be able to make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Explore Experian's TV solutions and empower your CTV advertising with AI today. Start exploring Latest posts