At A Glance
The challenge facing marketers today is not the decline of a single identifier, but the fragmentation of signals across browsers, devices, apps and platforms. A resilient identity framework unifies these signals into a consistent, privacy-safe view of the consumer, allowing marketers to reach, measure and optimize across environments that expose different identifiers.In this article…
Why an identity framework matters more than any single identifier
The challenge facing marketers today isn’t a single identifier on a deprecation timeline; it’s the increasing fragmentation of signals and identifiers across browsers, devices, apps, and platforms. This shift introduces complexity into how audiences are reached and measured, as signals behave differently in every environment, and it becomes more complex to piece together a complete view of the consumer.
Each environment contributes to its own set of visibility gaps, making identity less predictable and more uneven. The result is a patchwork of inconsistent identity signals rather than a single, predictable decline.
While you can’t control how platforms evolve, you can control how you respond to fragmentation. The future won’t be defined by the loss of any single identifier, but by your ability to unify, interpret, and activate the many signals that remain. Marketers who adopt a flexible, identity framework will be best positioned to create consistency in an otherwise fragmented landscape.
At Experian, we believe flexibility starts with intelligence. For decades, we’ve used AI and machine learning to help marketers understand people’s behavior more clearly, respect their privacy, and deliver messages that drive business outcomes. Our technology brings identity, insight, and intelligence together, so even as the number of signals grows and becomes more varied across environments, marketers can reach the right people with relevance, respect, and simplicity. This intelligence acts as the connective tissue across fragmented ecosystems, ensuring marketers can recognize and reach audiences consistently wherever they appear.
What forces are driving fragmentation in identity and signals?
Changes to traditional IDs
Since Apple introduced App Tracking Transparency (ATT), access to the Identifier for Advertisers (IDFA) has become inconsistent across apps and devices. Google’s evolving Android privacy roadmap adds another layer of variability, fragmenting mobile addressability. Safari and Firefox have long restricted third-party cookies, while Chrome continues to support them for now. This creates different signal availability across browsers, contributing to an uneven and increasingly fragmented identity landscape on the open web.
Shifts in signals
IPv4 to IPv6 migration introduces mismatched identity structures that complicate continuity across environments.
Platform-driven fragmentation
Closed ecosystems and uneven adoption of evolving RTB standards (like OpenRTB 2.6 updates designed to support new identifiers and consent signals) create differences in which identifiers and consent signals are shared in the bidstream. At the same time, the rise of alternative or “universal” IDs—often developed by individual platforms, publishers, or technology companies—means that multiple ID types can appear within the same auction, each with its own structure, rules, and level of support. These differences reduce interoperability across platforms and contribute to a more fragmented activation landscape.
Each change creates an identity silo. Together, they form an ecosystem defined by fragmentation rather than absence. Without an identity framework, these environments operate as disconnected identity islands.
A multi-ID world requires a unified identity framework
Alternative IDs play an important role, but they also expand the number of signals marketers must reconcile. Without a consistent identity layer, more IDs often mean more complexity—not more clarity. Common alternative IDs in use today:
- UID2: The Trade Desk’s Unified I.D. 2.0, an iteration of their original Unified ID 1.0, which was still reliant on third-party cookies, creates persistent IDs with user-provided email addresses and phone numbers.
- ID5: This independent identity provider builds an identity infrastructure that powers addressable advertising across channels. It can create an ID based on both deterministic and probabilistic data.
- Hadron ID: Hadron ID is a unique, interoperable identity system (including first-party, audience-based, contextual, deterministic, and probabilistic) developed by Audigent, now part of Experian, to drive revenue for publishers by making their audience data and inventory actionable for media buyers.
Industry reports suggest roughly one-third to two-fifths of open-auction traffic carries alternative IDs, sometimes multiple per request. Among Experian clients, adoption of alternative IDs rose 50% year over year, with a 30% increase in IDs resolved to individuals via our Digital Graph.
Identity isn’t disappearing; it’s multiplying. A modern identity framework resolves these identifiers into a single, privacy-safe consumer view.
Why CTV makes an identity framework essential
Beyond alternative IDs, device-level identifiers also play a major role in today’s ecosystem and add to the fragmentation marketers must navigate. Connected TV (CTV) environments introduce additional fragmentation.
CTV IDs
A CTV ID is an identifier used to deliver, target, and measure ads on CTV devices, including smart TVs, streaming devices, gaming consoles, and more. Unlike MAIDs, which act as universal device identifiers across apps, CTV environments often generate multiple, platform-specific IDs for the same physical device. Different operating systems, publishers, or streaming platforms may each assign their own identifier—such as Roku ID for Advertisers, Amazon Fire Advertising ID, Samsung TIFA, or Apple IDFA for CTV. As a result, a single household or TV can appear under several distinct IDs, making cross-app or cross-platform recognition more complex and further reinforcing the need for a unified identity framework.
Experian’s identity framework is powered by predictive and generative intelligence that makes resolution faster and more human-centered. Our AI models fill gaps where data signals are missing, infer behaviors responsibly, and continuously optimize for accuracy, so marketers can personalize ads responsibly, even in a fragmented ecosystem. More importantly, our framework normalizes signals across disconnected environments, creating a consistent identity spine that follows the consumer through their fragmented digital journey.
An identity framework connects online and offline signals
Fragmentation extends beyond digital environments. Marketers manage offline data from in-store transactions, loyalty programs, household identifiers, and phone numbers that rarely align cleanly with digital signals.
As consumers move between online and offline touch points, an identity framework connects these signals into a coherent view of the individual. This foundation allows marketers to recognize the same consumer across environments that expose different identifiers.
Four keys to future-proofing your media with an identity framework
1. Know your customer: Unify and enrich your first-party data
First-party data is a marketer’s most durable asset, but it’s often scattered and incomplete.
- Unify it: Bring CRM records, site interactions, and loyalty data into a single platform to build a holistic customer view. Use Offline Identity Resolution to resolve your first-party offline personally identifiable information (PII) back to a consolidated consumer profile, removing duplication of users in your data set.
- Enrich it: Append Experian Marketing Attributes to uncover demographics, lifestyle markers, and purchase behaviors you can’t see on your own, and use Offline Identity Append to fill in missing offline data points (such as name, address, phone, etc.) to create a more complete and actionable customer profile.
This gives you richer profiles that drive more personalized targeting and messaging. Fragmented ecosystems make unified first-party data even more essential. A connected view allows marketers to anchor identity against a stable, proprietary foundation. As identifiers vary across environments, marketers need flexible, privacy-first ways to understand where their audiences are and how to reach them.
2. Find your customer: Expand how you discover and reach audiences in a fragmented landscape
As identifiers vary across environments, marketers need flexible, privacy-first ways to understand where their audiences are and how to reach them.
- Contextual signals: Experian’s Contextually-Indexed Audiences map content to consumer insights, so you can target intent-rich environments.
- Geographic insights: Our Geo-Indexed Audiences help you find regions that over-index for specific traits and activate them across your preferred platforms.
- Syndicated and Partner Audiences: Choose from 3,500+ prebuilt segments or 30+ partner data sources spanning health, retail, travel, and more.
- Curation: As a full-service curation partner, we enable private marketplace (PMP) deals that are privacy-safe, identity-agnostic, and performance-optimized.
Together, these approaches help you confidently reach your audiences – using multiple types of signals that complement your identity strategy and create a clearer picture across fragmented environments.
3. Reach your customer: Maximize scale through interoperability
As signals and identifiers proliferate across environments, interoperability is essential to maintain consistent reach. Experian’s Offline and Digital Graphs unify disparate signals (MAIDs, CTV IDs, alternative IDs, IP, and more) so marketers can recognize and engage audiences reliably across channels, devices, and platforms.
Interoperability matters because it turns a collection of disconnected identifiers into a coherent identity framework that can actually be activated. The following capabilities demonstrate how that comes to life.
- Unified identity: Create a consistent view of your audience, even when different environments expose different identifiers. Experian’s identity framework connects these signals into a single, actionable identity spine.
- Expanded reach: OpenX enriched its supply-side identity graph with Experian’s audiences, making our data available directly across OpenX supply and formats. By matching more of the starting audience and identifying more users in the bidstream, marketers see higher match and activation rates, extending reach in hard-to-address environments like Safari and mobile web.
Measure success: Optimize based on outcomes
If you can’t measure your marketing, you can’t improve it. Experian Outcomes, powered by our holistic understanding of the user across online and offline touch points, closes the loop by connecting media exposures to real-world actions (store visits, purchases, or site conversions).
With these insights, you can:
- Prove ROI across digital and TV
- Attribute success to the right channels and tactics
- Continuously refine targeting, creative, and spend allocation
Outcome-based measurement makes your strategy adaptive, so dollars flow to what drives results.
As signals multiply across environments, connecting exposures to outcomes requires a unified identity foundation. Experian closes the loop by unifying exposures across disconnected touch points, enabling holistic attribution and optimization. Our AI-powered simplicity drives continuous improvement. From predictive modeling to agentic workflows that automate optimization, we’re investing in generative AI to help marketers spend less time on manual setup and more time on strategy and outcomes.
The Experian identity framework advantage
Experian connects fragmented signals into a single, actionable identity framework built for long-term resilience.
What our identity framework delivers
- Interoperability: We support all major identifiers, including alternative IDs, IP address (v4 and v6), contextual signals, and both first- and third-party data.
- Flexibility: Whether you’re activating syndicated audiences, tapping into partner audiences from 30+ data providers, or curating custom segments through Audigent, our solutions meet you where you are.
- Scale: With four billion IDs resolved in our Digital Graph and 280 million telephones in our Offline Graph, we deliver unmatched reach across digital and offline environments.
- AI that makes marketing more human: We bring together identity, insight, and automation through responsible AI, helping marketers see audiences clearly, act with intelligence, and optimize with respect for privacy.
Our approach is delivering results across a range of programmatic players. These outcomes demonstrate how a unified identity framework delivers performance in environments where signals, identifiers, and devices operate in silos.
Proven results powered by Experian’s identity framework
- Sonobi increased programmatic addressability across the mobile web by 25% and delivered a 20% lift in impression value through our identity graph, driving stronger campaign connections and greater publisher returns.
- One DSP used our Digital Graph to match more MAIDs, CTV IDs, and IP addresses to online conversions, enabling increased accuracy of their attribution and measurement. They achieved an 84% synced ID rate and a 9% increase in match rate.
- For Cuebiq, we significantly increased match rates and resolved data from cookieless environments, such as Safari. By combining separate data streams and resolving 85% of total events to a household, Cuebiq expanded on the household IDs to identify MAIDs that are observed in-store, enabling accurate cross-channel measurement.
- Our Digital Graph allowed MiQ and their clients to expand the reach of their seed audiences across devices by 51% and cookieless IDs by 64%. As a result, MiQ can provide marketers with future-proofed connected planning, advanced targeting, and precise measurement.
We’re your partner in building identity framework that lasts: resilient to change, adaptive to new signals, and focused on outcomes.
What comes next for signals and identity?
The future isn’t defined by any single identifier. It’s defined by the ability to unify and activate across a fragmented identity ecosystem. The winners will be those who adopt interoperable, outcome-driven identity frameworks today.
Those strategies will increasingly be powered by responsible AI, systems that simplify workflows, predict opportunity, and optimize in real time while keeping people at the center. At Experian, we see AI not as automation for its own sake, but as a way to make marketing more human, relevant, and respectful.
Your playbook for navigating fragmentation
Experian connects the fragmented identity ecosystem, unifying alternative IDs, IP signals, contextual data, and first- and third-party assets into a consistent, actionable identity foundation. With proven lift across partners like Sonobi and new offerings like Contextually-Indexed Audiences, we help you build campaigns that perform in a fragmented landscape.
Download our 2026 Digital trends and predictions report to explore how identity, interoperability, and measurement will define the future of advertising.
About the author
Henry Schenker
Group Product Manager, Experian
Henry has nearly 15 years of experience in Digital Advertising, Social Media Marketing, Data Licensing & Analytics, Front-End Engineering, Technical Architecture & Integrations, Profit & Loss Management, and Enterprise-Level Contract Negotiation across the U.S., EMEA, and Asia Pacific regions.
Prior to re-joining Experian, Henry held critical go-to-market and product roles at noted industry-disruptors Media.Monks and Attain. From 2018 – 2020, he served as the Vice President, APAC of Innovid (now publicly traded, NYSE:CTV), leading the company’s expansion into Japan, Singapore, and Australia. The preceding 4 years with Tapad (acquired by Experian), allowed Henry to become a seasoned Sales Engineer, grow and lead a global Technical Integrations team, and relocate to Singapore, leading sales and operations in the APAC region. Before beginning his career and learning front-end engineering on-the-job at Wyng (formerly Offerpop), Henry received a dual-major (BA/BS) in Sociology and Economics & Finance from Bard College in New York.
FAQs
Signal and identity fragmentation is increasing across digital and offline channels because consumers now engage across more devices, platforms, and environments. Each environment introduces its own identifiers and privacy rules. This growth creates more signals overall, which increases the need for unification rather than reliance on a single ID.
Alternative IDs add reach and coverage when they connect through a common identity framework. They work best alongside first-party data, device identifiers, and contextual signals. Resolution turns multiple IDs into one consistent view of the consumer.
CTV environments often assign multiple platform-specific identifiers to the same household or device. A unified identity layer links those identifiers together. This approach supports consistent audience recognition across streaming apps, devices, and digital channels.
Unified identity connects media exposure to outcomes across digital, TV, and offline touch points. It enables marketers to see how different channels contribute to real actions like visits or purchases. Measurement improves when identity remains consistent across the full journey.
Identity extends into offline signals such as transactions, loyalty activity, and household data. A unified foundation aligns online and offline interactions into one coherent profile. This connection supports planning, activation, and measurement across the entire customer experience.
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
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