I’ve officially been at Experian Marketing Services for one month. That’s long enough to get past the onboarding checklists, meet an incredible number of people, and start connecting the dots between what I believed from the outside and what I now see clearly from the inside. What’s surprised me most is not the scale of Experian's assets. Everyone knows Experian operates at massive scale. It’s the uniqueness of how those assets come together. Identity. Activation. Curation. Optimization. Measurement. And a culture that understands the responsibility that comes with being the identity and data backbone for the AdTech ecosystem. There’s real energy here around not just what’s possible, but how to do it the right way. Very early on, this felt like the right move. The people confirmed it immediately. The leadership team reinforced it just as quickly. There’s alignment around how we go to market, how we think about identity, and how seriously we take client trust. That matters, especially in a moment when marketers are being asked to do more with less, prove everything, and still protect the consumer at every turn. The reality marketers are facing right now I’ve spent my career working with brands and agencies navigating change. What’s different right now is the level of fragmentation. Signals are everywhere. They’re coming from transactions, media exposure, location, content consumption, commerce, and increasingly from AI-driven interactions that don’t follow traditional linear paths. The challenge is no longer access to data. It’s coherence. If I’m a marketer today, my core question is simple: How do I tie a durable identity structure to constantly evolving consumer signals, and feed that intelligence into the right places at the right time? Especially as I start interacting with AI buying agents that will make decisions on my behalf. If the signals those systems receive are noisy, incomplete, or misaligned with my brand, I lose control fast. Identity has to be the foundation That’s where identity stops being a background capability and becomes foundational. Without a strong, continuously refreshed identity framework, everything downstream breaks. Planning becomes guesswork. Activation becomes inefficient. Measurement becomes misleading. I see too many brands treating identity as a one-time project. Build a graph. Do some householding. Declare victory. But people change. Households change. Signals multiply. Identity has to evolve just as fast. One of the biggest misconceptions I walked into was how narrowly Experian is often viewed. Many marketers still think of us as a place to buy attributes. Full stop. What I see now is a connected system that supports the full marketing lifecycle: Audience creation Activation Curation Optimization Measurement All grounded in identity and executed in a way that’s measurable and privacy-forward. Audigent + Experian’s data marketplace. This is where things click This becomes even more powerful when you layer in Audigent. Audigent was foundational in defining curation, the idea that it’s not just about having data or inventory, but about intentionally pairing the right audience signals with the right supply to drive outcomes. When you combine Audigent’s curation expertise with Experian’s identity, data, and marketplace capabilities, something meaningful happens. That same philosophy extends directly into our data marketplace. It’s not just about accessing unique data sets. It’s about safely combining Experian data with partner data, or even multiple partner data sets together, to create audiences that simply don’t exist anywhere else. Then tying those audiences to real-world exposure and conversion across online and offline environments. This matters across industries, but especially in two places: Regulated verticals like healthcare and financial services, where accuracy and privacy are non-negotiable. Industries sitting on valuable first-party data like retail, travel, and automotive. No single company has all the signals they need. The opportunity is in collaboration. Partnering data in a trusted environment to create better outcomes and, in many cases, entirely new revenue streams. Looking ahead As AI continues to reshape how media is planned and bought, signals will become the currency. Not just any signals. The right ones. Curated, contextual, and connected to identity in a way that reflects real consumer behavior. Marketers who win will be the ones who control that signal flow, rather than reacting to it. After one month, what excites me most is that Experian is built for this moment. Years of investment in identity. A data marketplace designed for collaboration. And teams who understand that our job is not just to help marketers reach people, but to help them do it responsibly, efficiently, and in a way that actually drives outcomes. We’re just getting started.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris rhoncus augue sit amet mi rutrum, et egestas neque hendrerit. Aenean quis lectus dui. Quisque vitae posuere lectus. Nulla varius tincidunt mauris ut pharetra. Pellentesque semper mauris risus, et varius ante pretium ut. Duis varius ante a augue sodales, in consequat augue vehicula. Suspendisse potenti. Donec massa leo, efficitur vel eros ac, facilisis luctus massa. Ut pharetra eros diam, in fringilla neque elementum et. Morbi velit mauris, blandit et congue eu, convallis non augue. Curabitur porta sodales tellus vel porta. Morbi vel felis non neque efficitur venenatis. Nullam lobortis blandit ex id mollis. Donec euismod iaculis rutrum. Heading Description Heading Description Heading Description Vestibulum sed quam elit. Quisque bibendum nulla quam, non gravida tellus venenatis id. Ut a tellus facilisis, elementum ipsum ut, sodales orci. Nullam justo leo, condimentum in volutpat eu, gravida vel est. Ut placerat nulla erat, vel finibus lorem gravida at. Vivamus quis est id diam rhoncus blandit. Cras dignissim auctor diam, lobortis consectetur felis. Nulla accumsan lorem et augue pulvinar fermentum. Quisque ac nisl suscipit, imperdiet mauris eget, dignissim augue. Quisque tempus condimentum rhoncus. Vivamus in blandit nisi. Suspendisse sed metus rhoncus, vehicula nulla laoreet, volutpat neque. Morbi viverra in lacus id gravida. Aliquam velit ex, blandit at metus a, efficitur rutrum tortor. Fusce facilisis, nulla eget dapibus sagittis, sapien justo rhoncus nisi, ut placerat velit orci at velit. Sed finibus turpis ligula, et fermentum ligula rhoncus sit amet. Our 2026 Digital trends and predicitions report is available nowand ereveals five trends that will define 2026. From curation becoming the standard in programmatic to AI moving from hype to implementation, each trend reflects a shift towards more connected, data-driven marketing. The interplay between them will define how marketers will lead in 2026. Download now

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 ATT, access to 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 UID 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.

Year after year, CES signals where marketing is headed next. In 2026, the message was clear. Progress comes from connecting data, intelligence, and outcomes with discipline, not spectacle. Across AI, programmatic media, and measurement, the same priorities surfaced again and again. Under the bright lights of Las Vegas, three themes cut through, and each one pointed to a future where data, intelligence, and outcomes move in lockstep. Here are the three themes that defined CES 2026. 1. Agentic AI proved that it’s only as good as its data inputs AI was once again the star of the show. At CES 2026, marketers focused less on demos and more on proof that AI improves decisions, reduces friction, and drives outcomes. Every credible use case traced back to accurate, privacy-first data. What changed at CES was how that intelligence is being applied. Agentic AI systems designed to act autonomously are moving beyond insights and into execution. From media buying to optimization, these agents are increasingly expected to make decisions at speed and scale. That shift raises the stakes for data quality. When AI is operating campaigns, not just informing them, accuracy and privacy are non-negotiable. Without accurate, privacy compliant data, AI agents struggle to reflect real behavior or support responsible personalization. A reliable, privacy-first data foundation is what turns AI from an interesting experiment into an operational advantage. That advantage gets even stronger when it’s anchored in an identity graph that understands people and households across channels. When identity and intelligence move together, AI becomes more accurate, accountable, and effective at driving outcomes. In an AI first world, the strongest signal isn't scale. It's data quality. 2. Curation goes mainstream Curation is no longer experimental. At CES, it showed up as an mandated capability for buyers and sellers navigating fragmented signals and complex supply paths. Marketers want intentional media buys they can explain, defend, and repeat. AI is accelerating this shift. As AI systems take on more responsibility for planning, packaging, and optimization, curation provides the guardrails. It defines what “good” looks like (premium supply, trusted data, and clear performance goals), and allows AI to operate within those constraints driving the optimal outcomes for marketers. Rather than maximizing inventory access, curation prioritizes control, transparency, and performance. Buyers want premium supply aligned to specific goals. Sellers want clearer paths to demand. They can play the odds or own the outcome. When data leads, they own it. When curation is powered by high-fidelity audiences and a connected identity framework, it becomes even stronger. That’s what allows curated deals to deliver clarity, confidence, and repeatable performance. This shift reflects a broader move away from probability-based buying toward outcome ownership, where AI-driven systems are measured not on activity, but on results. 3. Activation and measurement finally shared the same stage Activation and measurement are now coming together around shared data and identity. CES 2026 marked a turning point where closing the loop felt achievable, not aspirational. Both the buy- and sell-sides face pressure to show that media investment drives outcomes. Agentic AI was a quiet driver of this optimism. As AI agents increasingly manage activation decisions in real time, marketers need measurement systems that can keep up. That requires a shared data and identity foundation. One that allows AI-driven actions to be evaluated against outcomes consistently, across channels and partners. "The companies leading in alternative data aren't just optimizing for growth, they're setting a new standard for inclusion, precision and responsible lending." - Ashley Knight, SVP of Product Management, Experian Achieving that requires a consistent identity spine that connects planning, activation, and outcomes across channels. And that spine is strongest when it’s built on accurate, privacy-first data and audiences that understand people and households. That connection allows marketers to move beyond proxy metrics and evaluate performance based on tangible results. When campaigns and measurement rely on the same data foundation, AI driven platforms can optimize toward outcomes such as new customers, account growth, or in-store activity, not just delivery metrics. That’s the connective layer that turns disconnected touchpoints into a measurable, outcomes-based system. The takeaway CES made one thing clear: agentic AI is moving marketing from intention to execution. But only for teams with the right foundation. AI is maturing, but only for teams with accurate, connected, privacy-first data that AI agents can act on responsibly. Curation is scaling, giving both humans and AI systems clearer paths to quality, control, and differentiation. Activation and measurement are aligning, allowing AI-driven decisions to be judged on outcomes, not assumptions. We’re building for that world today. One where agentic AI operates on a trusted data and identity foundation, curation defines the rules, and outcomes determine success. With the right foundation and the deep data inputs, you can move faster, reduce risk, and let intelligence (human and artificial) work together to deliver results that last long after the neon lights fade.

Remember when “6-7” was all over your feed and no one really knew why, but somehow everyone got it? In 2025, the internet proved that connection doesn’t always make sense — at least not at first. The “6-7” meme was random, ridiculous, and everywhere. It spread because it felt connected; an inside joke everyone could share. Marketing in 2026 will have its own 6-7 moment. Experian’s 2026 Digital trends and predictions report explores how 2026 will be defined by connection: between activation and measurement, data and AI, platforms and outcomes. After years of fragmentation, the industry is finally unifying around shared foundations: data accuracy, identity resilience, and measurable performance. Here are three connections to watch for in 2026. 1. AI is only as good as its data foundation AI’s performance depends on the quality, recency, and integrity of its inputs. In 2026, marketers will recognize that the differentiator is not the algorithm itself but the data that informs it. As AI becomes embedded into workflows (from audience discovery to media optimization) accurate identity and privacy-safe data become essential. Why it matters Good data fuels responsible automation, predictive insight, and personalization that feels human. Without it, even the most advanced models will simply automate bad decisions faster. What actions should marketers take to strengthen their data foundation? To make AI adaptive, ethical, and aligned with real-world context, marketers need to strengthen the data foundation beneath it. In 2026, that means taking four core actions: 1. Prioritize accuracy Verify data and anchor it in real human identity, rather than inferred or fragmented signals. 2. Keep data fresh Ensure inputs stay current through continuous updates that reflect real-time consumer behavior and conditions. 3. Maintain consent standards Source data responsibly and stay compliant with privacy regulations emerging across 20+ U.S. states. 4. Enable interoperability Connect data securely across platforms through a signal-agnostic identity framework that supports consistency and scale. When these elements come together, AI becomes more than just automation: it becomes adaptive, ethical, and responsive to real-world context. 2. Commerce media expands beyond retail Commerce media is no longer just a retail play. What began as retailers monetizing their data and media has evolved into a multi-sector movement uniting data, media, and transaction insights. Auto, travel, CPG, and even financial brands are launching their own media networks or partnering with existing ones to close the loop between exposure and conversion.

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This is my post to test the At a glance feature. Testing. Test content.