All posts by Hayley Schneider, Sr. Manager, Content Marketing

Healthcare organizations have invested heavily in digital engagement over the past decade. Patient portals. CRM platforms. Campaign automation. Consumer data platforms. And yet, personalization in healthcare still feels stuck. Outreach is often generic. Preventive care reminders go unopened. Screening campaigns underperform. Value based care programs struggle to engage the very patients they are designed to support. I hear a version of the same frustration from health system and life sciences leaders. Their engagement stack keeps expanding, but their impact on the patient experience remains limited. While many healthcare organizations have abundant data, most have an identity and context gap. Personalization stalls when identity never moves beyond the EHR A diagnosis tells you what care is needed, but it doesn't tell you how to reach someone, when they are most receptive, or what barriers might prevent follow-through. When identity stops at the electronic health record (EHR), engagement becomes a series of educated guesses about a real person’s needs, preferences, and circumstances. Patients don't live inside the EHR Consider how most preventive outreach works today. A patient leaves the hospital with instructions and a recommended follow-up appointment, and the system triggers a standard sequence of reminders. The intent is right. The execution is usually constrained by missing context. Will they see the message in the channel you chose? Is a caregiver involved in coordinating next steps? Is the barrier logistics, or clarity on what to do next? These factors determine whether follow-up happens. They also determine whether “personalization” actually feels personal, or just automated. In other industries, personalization advanced by connecting transactional data with behavioral and household context. In healthcare, those signals remain separate to protect patient data, often resulting in a disconnect between strong clinical insights and effective patient engagement. Connecting the dots is the hard part There's a common narrative that healthcare needs more data to improve personalization. In practice, the bigger challenge is connecting what you already have in a way teams can trust. Identity, preference, household context, and engagement history often live in different systems, and they rarely resolve cleanly to a usable profile. A privacy-safe identity foundation changes that. When organizations can link records across sources with strong match discipline, governance, and tokenization, they can turn fragmented data into more relevant decisions without exposing more than is necessary. Watch our Q&A with Cristin Liberatore from IQVIA Digital on healthcare marketing Download our 2026 State of advertising report Watch all Q&A videos with our partners How we approach this at Experian At Experian, this is the lens we use: Predict Build an AI-ready data foundation from first-party data, then enrich it responsibly so models and segmentation reflect patient and consumer context. Activate Reach people in the channels they actually use, using privacy-safe identity, tokenized activation, and governance that supports compliant engagement in regulated environments. Connect Keep identity consistent across channels, so communications feel relevant and coordinated, not repetitive or fragmented, while maintaining compliance in a tokenized or de-identified fashion. Prove Tie engagement back to meaningful outcomes using our identity spine, so teams can learn what reduces friction and improves follow-through. What privacy-safe identity makes possible in regulated patient engagement In regulated categories, accuracy, governance, and privacy are non-negotiable. That’s why I push teams to think about identity as infrastructure, because people move, households change, and preferences shift. At Experian, that infrastructure includes: Marketing Attributes and Enrichment: Adding context to first-party data so planning and decisioning reflect the person you’re trying to reach. Offline and Digital Graphs: Connect identity across touchpoints so experiences stay consistent as people move between channels. First-Party Onboarding and data marketplace: Activate consented consumer and patient data across digital environments in a privacy-safe way. Our data marketplace extends that strategy with third-party partner segments, improving your personalization efforts to encourage a more proactive approach to healthcare. Curated Deals: Support upper-funnel awareness by aligning audience insight with higher-quality inventory in environments that can improve visibility, context, and campaign efficiency. Watch our healthcare marketing panel from CES 2026 Identity must come first in healthcare marketing Healthcare personalization has plateaued because engagement strategies have stayed too narrow and disconnected from the realities that shape follow-through. The next phase of healthcare engagement will be defined by organizations that treat identity and additional patient context as the foundation for decisioning, activation, and measurement. When identity connects to real-world context through privacy-safe, governed, and tokenized practices, outreach becomes more relevant, easier to receive, and easier to act on. About the author Kevin Dunn Chief Revenue Officer, Experian Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships. Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together. Latest posts

What advertising trends does Experian’s 2026 State of advertising report highlight? 2026 State of advertising report Experian’s 2026 State of advertising report shows that advertising trends in 2026 will be defined by how well organizations connect data, identity, and measurable outcomes. Our 2026 State of advertising report brings together perspectives from 14 leaders operating across key parts of the advertising ecosystem to show how these shifts are taking shape in practice. Download the report Watch the Q&A videos Who’s featured in Experian's 2026 State of advertising report? Our 2026 State of advertising report includes perspectives from 14 leaders across the ecosystem covering a variety of topics including: These perspectives reflect directional signals from leaders across the ecosystem. They are not exhaustive views of any one vertical. They are operational insights from teams navigating change in real time. In addition to the written analysis, you can watch the full one-on-one Q&A conversations with each partner here. Watch the Q&A videos What signals are shaping advertising trends in 2026? Five signals are shaping advertising trends in 2026. Together, they explain why advertising trends in 2026 center on clarity, connection, and measurable outcomes. Across every conversation with our partners, five themes stand out: 1. AI 2. Measurement 3. Identity, privacy, and first-party data 4. Commerce media, connected TV, mobile, and social 5. Identity Below, we spotlight three perspectives from our report. Scott Bender's perspective on AI-driven workflows Scott Bender, Head of Publisher & Platform Partnerships at Newton Research, is a media and AdTech veteran who has led go to market and revenue teams across traditional media, retail media, consulting, and early stage startups, helping organizations translate data and product strategy into scalable commercial growth. How is AI moving upstream into planning and measurement? AI is changing how teams work before campaigns run. Teams apply AI to planning and measurement first, then scale into activation with clear rules and human oversight. AI’s first impact is operational Teams are applying AI to planning and measurement before activation. The early gains are showing up in analytics, forecasting, and workflow compression, especially in areas constrained by time and data science resources. Automation works when humans define the rules Repeatable, rules-based processes are where AI performs best today. Strategy, guardrails, and judgment remain human-led. AI scales execution without removing accountability. The biggest barrier in AI is rethinking workflows AI adoption slows when teams try to layer automation onto legacy playbooks. Progress happens when workflows are redesigned for agentic execution, rather than human-only processes. “The workflows we’ve built for humans don’t always make sense for AI. Progress comes when teams redesign how work gets done, not when they simply add automation.”Scott Bender, Head of Publisher & Platform Partnerships If advertisers fix one thing in 2026 Focus on data context. Not perfect data, but a clear semantic layer that defines what data means and how it should be interpreted and used. Watch our agentic media panel at CES 2026 Greg "Arch" Archibald's perspective on commerce media’s expansion Greg "Arch" Archibald is VP, Global Ad Sales at PayPal. A sales leader for nearly 25 years, Arch has worked at some of the largest AdTech companies in the world. Now with PayPal Ads, he is helping build the foundation upon which advertisers can use true intent-based signals to inform advertising campaigns. How is commerce media expanding beyond retail? Commerce media is extending into more ecosystems and more purchase moments. Commerce media is defined through transactions that show what people buy, not intent signals that imply what people might buy. Commerce media is defined by transactions, not intent Commerce media is fundamentally powered by transactional data. Unlike retail media, which is often intent-led and vertically confined, commerce media spans horizontally across merchants, payment platforms, and ecosystems, providing a clearer view of the full consumer purchase journey. Transactional data is the true differentiator As basic targeting and inventory become commoditized, the ability to activate transactional signals at scale is what separates effective commerce media strategies. These signals help brands connect upper-funnel investment to conversion and prove measurable outcomes. On-site validates performance, off-site drives reach Effective commerce strategies balance both on-site and off-site, focusing less on where ads run and more on who is being reached based on real purchase behavior. “Transactional data is a powerful signal that helps brands reach consumers more effectively and connect upper-funnel investment to measurable outcomes.”Greg "Arch" Archibald, VP, Global Ad Sales If advertisers fix one thing in 2026 Prioritize transactional signals over intent proxies to connect spend to outcomes. Cristin Liberatore's perspective on healthcare marketing Cristin Liberatore, Sr. Director, Commercial Strategy for Pharma, IQVIA Digital, has over a decade of experience leading commercial and product strategy for data‑driven healthcare solutions, developing frameworks at IQVIA Digital that connect data, analytics, and omnichannel execution to drive meaningful business results. How do identity and privacy work together in regulated markets like healthcare? Healthcare marketing uses a dual approach that reflects distinct audiences and data environments. Teams succeed when they connect identity and privacy through governance that supports personalization and outcome measurement. Healthcare requires two playbooks: HCP and consumer On the healthcare professional (HCP) side, personalization benefits from deterministic identity and high-fidelity signals that enable “read, respond, act” marketing. On the consumer side, data is more disparate, making identity resolution and privacy-safe connection across data sets essential for relevant personalization. Timeliness is the difference between insight and impact Healthcare data varies widely in latency. The most effective marketing is powered by timely signals. Fresh signals influence whether brands respond in meaningful moments along diagnostic and treatment pathways. Sustainable identity depends on governance An identity spine paired with de-identification methodology and strong compliance frameworks allows exposure to connect to outcomes such as script lift, without compromising privacy. “Across data, activation, and measurement, healthcare marketing works best when privacy and personalization are balanced, as that push pull is ubiquitous with consumer marketing in healthcare.”Cristin Liberatore, Sr. Director, Commercial Strategy for Pharma If advertisers fix one thing in 2026 Invest in a connected identity spine that balances timeliness, personalization, and privacy across the full care journey. Watch our healthcare marketing panel at CES 2026 What do 2026 advertising trends mean for advertisers? In 2026, success will be shaped by how well advertisers connect data, decisioning, and outcomes across an increasingly complex ecosystem. The leaders featured in this report consistently point to connection as the defining factor for progress. The shifts advertisers must act on  Audiences, not channels, define strategy. Planning anchored in identity and behavior scales more effectively across screens, platforms, and formats. Measurement moves upstream. Outcomes now inform optimization in real time, rather than serving a post-campaign validation. First-party data becomes infrastructure. Activation, data governance, and interoperability matter more than ownership alone. AI accelerates decisions, not accountability. Automation works best when paired with clear rules, transparency, and human oversight. Privacy is a growth lever. Consent-driven, privacy-first design enables durable performance at scale. Advertisers that lead in 2026 will: Connect planning, activation, and measurement into a single operating framework Invest in data and identity foundations before expanding into new channels Work with partners that reduce fragmentation, not add to it  To see how these signals play out across AI, commerce media, healthcare, and more, download our 2026 State of advertising report and watch the Q&A videos with our partners. Download the report Watch the Q&A videos FAQs How should a CMO think about advertising trends in 2026? A CMO should treat advertising trends in 2026 as a shift in how teams plan, activate, and measure, not a channel shift. Teams get stronger performance when they connect data, identity, and measurement into one decision loop that guides planning, activation, and optimization. What changes when measurement guides planning, not reporting? Measurement moves closer to the moment of decision when teams use outcomes to steer optimization in real time. That approach turns measurement into a planning input that shapes budget allocation, audience strategy, and creative decisions across the lifecycle of a campaign. What role does Experian play in making these advertising trends actionable? Experian helps marketers connect identity, data, and measurement so teams plan and activate with consistency across platforms. Experian’s data and identity foundation supports audience connection and privacy-forward activation, and Experian’s measurement approach links media exposure to outcomes for clearer decisioning. Latest posts

Commerce media networks have had a strong start. Growth has been fast, demand has been strong, and brands have made it clear they want closer access to commerce-driven audiences. But as more networks mature and enter the space, many are starting to feel the same pressure point: scale. Most commerce media networks were built as managed service businesses. That model works well early on. High-touch, white-glove partnerships make sense when you’re working with a handful of strategic brands. But there’s a ceiling. There are only so many teams, only so much inventory, and only so many advertisers that model can realistically support. It’s one thing for a large retailer to build custom programs for a P&G. It’s another to do that at scale for hundreds or thousands of brands. At some point, growth slows, not because demand disappears, but because the model can’t stretch any further. The scale problem no one likes to talk about That’s where many commerce media leaders find themselves today. Pausing to assess what comes next. For a long time, growth has been measured almost entirely through media dollars. That mindset is understandable. Media is familiar, it's easy to quantify. It shows up clearly in negotiations and revenue reports. But viewing commerce media networks purely as media sales engines creates long-term risk. It can strain brand relationships, limit innovation, and distract from what commerce media networks actually do better than almost anyone else: understand consumers deeply. Signals are the real asset Commerce platforms sit close to decision-making. They see what people search for, what they consider, what they buy, and when those behaviors change. Those signals are incredibly powerful. And yet, most networks only activate them inside their own walled environments. That’s a missed opportunity. Curation represents the next area of growth for commerce media networks, and it doesn’t require replacing or diminishing existing media revenue. In fact, it complements it. No single commerce media network has all the data needed to give advertisers the scale and reach they're looking for. And no advertiser wants to recreate the same audience in dozens of disconnected platforms. That friction creates inefficiency and slows decision-making. Why collaboration supports sustainable growth The opportunity is to look beyond first-party data alone and start thinking about collaboration. Second-party data. Data partnerships. Signal sharing done responsibly and transparently. Imagine an advertiser defining an audience once and being able to understand and reach that audience across multiple commerce environments. Not through a series of disconnected buys, but through a more consistent approach built on shared understanding leading to increased reach and more impactful campaigns. That’s easier for advertisers to manage, and it creates an additional revenue stream for commerce media networks that complements media sales rather than competing with them. Curation strengthens media, it doesn't replace it Media will always play an important role. There is clear value in custom experiences tied directly to a commerce environment. Think buyouts, sponsored experiences, custom creative integrations. Those are situations where brands want to work closely with the network itself. But the signals commerce media networks hold don’t need to be limited to those moments. Those signals can be monetized independently through data products, co-ops, and partnerships that extend their value into other channels. That’s how curation adds value without undercutting existing revenue. A practical path forward for commerce media leaders For commerce media leaders thinking about their next phase of growth, the focus should be on sustainability. Building a massive media operation takes time and investment. Data-driven revenue streams can be introduced more quickly, require fewer internal resources, and provide steadier margins. It’s a practical approach. Use signal-based revenue to fund growth. Let that revenue support investment in tooling, talent, and media innovation over time. Bootstrapping, in the truest sense. Why transparency matters early There’s also a broader responsibility here. In many advertising channels, transparency followed growth, often after pressure from the market. Commerce media networks have an opportunity to do this differently. To lead with transparency from the start. To be clear with brands and consumers about how data is used, how signals are created, and how value flows through the ecosystem. Because the reality is this: commerce media networks are holding some of the most valuable intent signals in the market today. But those signals don’t retain their value in isolation. If they aren’t enhanced, combined, and made accessible in the right ways, someone else will step in to do it. And when that happens, control shifts away from the source. The bottom line The next chapter of commerce media isn’t just about selling more media alone. It’s about recognizing the value of the signals already in hand, working together to make them more useful, and building additional revenue streams that support long-term growth. That’s how commerce media networks grow without eating their own lunch. About the author Kevin Dunn Chief Revenue Officer, Experian Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships. Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together. Latest posts

Curation is becoming the standard for programmatic buying because it improves transparency, cost efficiency, and measurable performance in privacy-first environments. It connects trusted data with premium supply paths, making scale more accountable and aligned to outcomes. For years, success meant reaching as many impressions as possible at the lowest cost. That model delivered reach, but it didn’t always deliver results. As privacy standards tightened and signals fragmented, scale alone stopped translating into performance. In 2026, programmatic buying looks different. Advertisers are moving toward better-defined paths to results. Curation, once a niche tactic, is now becoming central to a brand’s strategy shaping how media is planned, activated, and measured. How is programmatic buying shifting from broad access to intentional activation? Programmatic buying is shifting from broad, open exchange access to curated, performance-ready supply paths. Advertisers now prioritize quality, transparency, and data alignment over raw impression volume. Curation is reshaping programmatic into something more focused, efficient, and accountable. Instead of relying on uncurated open exchange buying (the old “needle in a haystack” example), advertisers are curating both audiences and supply paths to better surface high-value opportunities at the right price. They're combining high-quality inventory with trusted data, identity, and optimization to create premium private marketplace (PMP) deals designed for performance. In practice, this means the open exchange remains the source of scale, while curation determines how that scale is accessed and optimized. Programmatic curation explained in Marketecture In a privacy-first environment, curation brings identity, quality, and control together. It allows marketers to activate across connected TV (CTV), audio, in-app and the open web while reducing waste and improving transparency. What's the performance case for curation? Curation drives measurable efficiency gains for both buyers and sellers. Experian’s identity foundation strengthens this alignment by ensuring audience consistency across curated supply paths, improving match quality, and cross-channel measurement. A growing share of programmatic spend now flows through curated private marketplaces because they improve cost control and outcomes. The shift toward curated buying paths reflects how the open exchange itself is evolving. 2026 Digital trends and predictions report Our 2026 Digital trends and predictions report is available now and reveals 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 toward more connected, data-driven marketing. The interplay between them will define how marketers will lead in 2026. Download More than 66% of open-exchange ad spend, representing over $100 billion annually, now flows through curated PMPs. Advertisers are seeing data cost savings of 36-81% compared to uncurated open exchange buying, while publishers benefit as well, with revenue lifts of up to 70% on mobile and 13% on CTV. These gains come from alignment. Curated deals provide: More direct paths to the right inventory Improved win rates Dynamic optimization capabilities Better visibility into ad placements Flexibility to use preferred activation tools When data and supply are aligned at the deal level, performance becomes more predictable and measurable. How are supply-side platforms accelerating curation? Supply-side platforms (SSPs) are embedding curation directly into their infrastructure. This is making curated buying easier to execute at scale. SSPs like Index Exchange, Magnite, and OpenX now embed curation tools directly into their platforms that enable: Real-time optimization Data enrichment Transparent buyer-to-publisher connections Audigent’s collaboration with Index Exchange brings curated inventory directly into DV360 through Index Marketplaces. For marketers, this translates to faster activation, clearer insights, and more control across the supply path. Curation is no longer a workaround layered on top of programmatic. It’s becoming part of the core transaction. Why are agencies stepping into the curator role? Agencies are building curated marketplaces to improve performance and differentiate their media strategies. Curation gives them more control over data costs, transparency, and client outcomes. Holding company GroupM and independent agency Butler/Till are building their own curated marketplaces. These deals allow them to: Control data costs Maintain transparency Improve performance while reducing reliance on open-market bidding For advertisers, agency-curated deals provide accuracy without added complexity. For agencies, curation strengthens their strategic power beyond buying power. How does data collaboration expand curated activation? Curation works best when data partners collaborate within the deal structure. Curated PMPs allow trusted audience segments to move closer to supply without additional friction. Through Experian Curated Deals, high-performing audience segments are made available directly within curated PMPs. This includes PurpleLab’s HIPAA-compliant audiences, enabling privacy-conscious activation across verticals like B2B, CPG, health, retail, and travel. Experian Curated Deals are live across major buying platforms, including: Amazon DSP DV360 via Index Marketplaces Nexxen Marketers can activate trusted data without added contracts or data fees, expanding reach while maintaining governance and control. Audigent named Microsoft Advertising's Curator of the Year Experian's identity foundation ensures audiences remain consistent across channels. Audigent’s supply-path intelligence strengthens efficiency and optimization. Together, we create a performance-focused buying environment. How does real-time optimization keep curation flexible? Curation supports in-flight optimization tied directly to performance metrics. Curated deals evolve based on outcomes. Experian Curated Deals support in-flight optimization using metrics like conversions and return on ad spend (ROAS). Audigent supports mid-flight campaign adjustments without sacrificing transparency or control. How a pet brand beat audio campaign goals by 63% with Experian Curated Deals In emerging channels, this flexibility is especially valuable. A national e-commerce pet brand partnered with Audigent to test audio advertising for the first time using Experian Curated Deals. With limited bandwidth and a need for fast results, the team saw immediate impact. Audio campaigns beat KPIs by 63%, drove stronger purchase intent than competing platforms, and earned ongoing budget and executive support. Download the case study Performance validation is why curation continues gaining momentum. The takeaway: Curation is central to privacy-first addressability Curation now anchors privacy-first addressability. It aligns data depth, identity, and supply-path optimization within a controlled marketplace structure. By combining Experian’s identity foundation with Audigent’s activation and optimization capabilities, Experian Curated Deals help marketers: Personalize messaging across channels Optimize campaigns in real-time Prove results across every channel Activate across preferred DSPs without operational friction To explore this trend and the others shaping marketing in 2026, download our 2026 Digital trends and predictions report. Download Connect with our team if you're ready to get started with curation About the author Jake Abraham Head of Strategic Partnerships, Experian Jake Abraham is Head of Strategic Partnerships at Experian Marketing Services, where he leads efforts in publisher monetization, cloud solutions, and Experian’s data marketplace. Known for his ability to connect strategic vision with real-world execution, Jake brings deep expertise in AdTech and media innovation. Prior to Experian, Jake was Chief Commercial Officer at Audigent (acquired by Experian in 2024) and spent five years at the Hearst Corporation, where he developed content strategy for its digital agency, iCrossing. He began his career as an award-winning film and television producer, a foundation that continues to inform his creative and strategic approach to the industry. Programmatic curation FAQs What is programmatic curation? Programmatic curation packages high-quality inventory and trusted data into private marketplace deals designed for performance. Instead of buying broadly across the open exchange, marketers activate pre-aligned supply paths that improve transparency, efficiency, and outcomes. Why are more marketers moving budget into curated PMPs? Marketers are shifting budget into curated PMPs because curated deals improve cost control, transparency, and performance predictability. Curated supply paths reduce data waste, increase win rates, and align identity with premium inventory in a privacy-conscious structure. How does Experian support curated programmatic strategies? Experian supports curated programmatic strategies by combining Experian’s identity foundation with Audigent’s curation and optimization technology. Experian’s data powers audience consistency across channels, and curated deals embed that data directly into supply paths for measurable performance. How should marketers balance open exchange and curated PMPs? Marketers should treat the open exchange as a source of scale and curated PMPs as a layer of control and performance alignment. The open exchange provides reach, and curated supply paths refine how that reach is accessed, measured, and optimized. Together, they create a more accountable and flexible buying strategy. How does curation improve performance in privacy-first environments? Curation improves performance in privacy-first environments by aligning deterministic and contextual data with premium inventory inside controlled deal structures. Experian’s identity capabilities support cross-channel consistency, and curated supply paths reduce reliance on fragmented legacy identifiers. Latest posts

Why does activation expand the value of first-party data? First-party data already delivers value through insight, personalization, and owned-channel engagement. In 2026, marketers expand that value by activating first-party data across owned and paid media channels. Activation is how existing data investments scale beyond CRM into broader audience strategies. Simply capturing customer data used to feel like a win. Building a CRM, capturing emails, and logging transactions delivered valuable insights and fueled owned channels like email and direct mail. But that was largely where activation stopped. In 2026, that mindset is no longer enough. Owning first-party data is now just the starting point. The real advantage comes from what marketers do next. Safely turning static records into addressable, scalable audiences is where first-party data can continue to prove its value. How are marketers shifting from data collection to data connection? As signals fragment, marketers are shifting from data collection to data connection to make first-party data usable across channels. Experian supports this shift by helping marketers onboard and resolve their data into a clean, connected foundation using our identity graphs. Connecting offline and online interactions allows brands to unify customer data across touchpoints to make it actionable. That connection enables more use cases, from audience activation and measurement to personalization and cross-channel optimization. Most brands recognize the value of their own data. Fewer have the infrastructure to make it work across the media ecosystem. Data often sits in silos, disconnected from activation platforms, analytics, and measurement. Without the ability to unify, enrich, and deploy that data, first-party data remains underutilized. In 2026, leading marketers are closing that gap by turning first-party data into audiences they can reach across owned and paid channels, bringing consistency to targeting and measurement. That same connectivity also enables better suppression, allowing brands to avoid targeting existing customers in prospecting campaigns. For consumers, this reduces irrelevant and repetitive ads. For marketers, it improves efficiency and protects the customer experience. With Experian’s identity foundation in place, first-party data becomes usable across the media ecosystem. Marketers can enrich their first-party data with behavioral, demographic, and lifestyle insights, combined with trusted partner data, and activated across channels like social, programmatic, and TV, from a single environment. Why is first-party data becoming central to media planning? First-party data has become central to media planning because it gives marketers control, consistency, and continuity across channels. As media environments fragment, first-party data provides a stable signal that supports activation, personalization, and measurement at scale. Rather than relying on any single data source, marketers are increasingly combining their own first-party data with trusted third-party and partner data to extend reach, improve relevance, and fill gaps in their own insights. Doing so effectively requires deterministic matching, privacy-first infrastructure, and partners that can support both owned and syndicated data at scale. This approach allows brands to maintain control over their customer relationships while continuing to utilize third-party data for prospecting, modeling, and performance optimization across channels. As a result, first-party data activation is now central to how media strategies are planned and executed. 2026 Digital trends and predictions report Our 2026 Digital trends and predictions report is available now and reveals 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 toward more connected, data-driven marketing. The interplay between them will define how marketers will lead in 2026. Download What business impact does first-party data activation deliver? First-party data activation delivers measurable business impact, including: 70% of B2B marketers plan to increase their use of first-party data, more than any other data strategy. 67% percent of brands and 80% of publishers expect to grow their first-party data sets in the next year. The payoff is tangible. Activating first-party data can reduce customer acquisition costs by up to 50% and drive a 10-15% lift in revenue. Activation drives efficiency. Brands that put their own data to work see lower acquisition costs and stronger revenue lift. These gains come from relevance. When marketers activate audiences built from known customer relationships, they reduce waste and optimize toward outcomes that matter. Experian’s Audience Engine supports this model at scale. Audience Engine helps marketers onboard and activate first-party data through a single unified platform. It connects more than 3,500 syndicated audiences, over 50 media platforms, and 20+ third-party data providers. Marketers can combine, gain insights from, and deploy first-party data quickly. What should marketers plan for first-party data activation in 2026? In 2026, marketers should plan for first-party data to operate across onboarding, activation, and measurement as a connected workflow. Planning now centers on interoperability, scalable activation tools, and privacy-forward enrichment rather than isolated data use cases. Identity underpins each of these three shifts. 1. First-party onboarding is table-stakes Bring your CRM into programmatic and TV to extend reach, lower activation costs, and combine with trusted syndicated and partner audiences for scale. 2. Unified activation tools accelerate execution Use a unified activation toolset like Experian's Audience Engine to view and activate your first-party data and partner segments across 50 platforms (including display, connected TV, and social) while also building lookalike audiences to reach new customers similar to your best ones. Planning for first-party activation doesn't require starting at scale. For small and mid-sized businesses, the path forward can begin with manageable, privacy-safe data onboarding and testing. Tools like Experian’s Audience Engine offer scalable entry points, helping all marketers (not just enterprises) implement first-party data activation. 3. AI-driven enrichment enhances performance Machine learning can identify patterns, predict behavior, model lookalikes, and uncover actionable insights to increase reach and relevance, even as traditional signals fragment. With Experian’s in-house modeling capabilities, marketers gain faster access to advanced machine learning and the ability to define their own model parameters. This gives teams direct control over how audiences are built and optimized, allowing them to activate insights quickly, iterate as strategies evolve, and avoid the limitations of black-box third parties and long development cycles Why first-party data activation matters to marketers in 2026 In 2026, first-party data delivers value when marketers activate it across channels. The opportunity is to extend the value of what already exists through activation, enrichment, and identity-led connection across channels. That means uncovering insights within your existing customer base, building lookalikes from your highest-value audiences, and activating those segments across every channel. With Experian’s Audience Engine, marketers can onboard, enrich, and activate their first-party data in one secure, interoperable platform. Identity connects to outcomes. Performance becomes measurable. Privacy stays at the core. To explore this trend and the others shaping marketing in 2026, download our 2026 Digital trends and predictions report. Download Ready to connect with our team? About the authors Doug McLennan Sr. Director, Product Management, Experian Doug McLennan is the Senior Director of Product Management at Experian Marketing Services where he is focused on product strategy for activation. His past work includes managing syndicated audiences at Oracle Data Cloud and building personalized video ad products at an agency. Doug lives in Colorado and skis as much as his family will allow. Rachael Weinstein Director of Product Management, Experian Rachael Weinstein is the Director of Product Management at Experian Marketing Services where she is focused on product strategy. Previously, she held product roles in advanced TV at WarnerMedia and worked in analytics across multiple startups. First-party data activation FAQs What is first-party data activation? First-party data activation means using a brand’s own customer data to build addressable audiences across paid and owned channels. Experian’s identity spine connects, enriches, and activates that first-party data consistently while preserving control and privacy. Why does first-party data need identity to work across channels? First-party data needs identity to connect customer records across devices, platforms, and environments into a unified view. Experian identity resolution makes it possible to activate, measure, and manage frequency consistently across paid and owned media. How does first-party data activation improve efficiency? First-party data activation improves efficiency by reducing waste and increasing relevance. Marketers focus spend on known and modeled audiences, suppress existing customers in prospecting, and optimize toward outcomes rather than impressions. How does Experian support first-party data activation? Experian supports first-party data activation by resolving, enriching, and activating customer data using identity as the foundation. Through Audience Engine, Experian enables onboarding, audience creation, cross-channel activation, and measurement within one environment. Latest posts

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. About the author Kevin Dunn Chief Revenue Officer, Experian Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships. Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together. Latest posts

How should CMOs think about data as part of their audience strategy? The best digital marketers possess excellent storytelling capabilities—and they fuel the plot with data. When you think about it, your audience strategy is the whole story, and the type of data you use helps create each chapter. Just as any good book incorporates numerous literary devices, you must use more than one type of data to develop a dynamic, relevant, and timely narrative that captures your target users’ attention. In 2026, marketers should prioritize and invest in data and targeting strategies beyond just first-party to drive growth, improve efficiency, and strengthen customer relationships. 2026 Digital trends and predictions report Our 2026 Digital trends and predictions report is available now and reveals 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 toward more connected, data-driven marketing. The interplay between them will define how marketers will lead in 2026. Download Why is first-party data not sufficient on its own? First-party data provides a strong foundation for targeting and measurement. It reflects information consumers have shared directly through brand interactions. That makes it reliable and central to audience strategy. That foundation alone does not tell the full story. First-party data defines known customers, but limits reach and frequency. Growth depends on expanding beyond existing relationships. Think of first-party data as a way to create an outline, not the whole story, about your target audiences—the main characters in your marketing. To flesh out the entire narrative about them, you must source, connect, and activate additional data. The ability to unify different data sources with accuracy, scale, and privacy at the forefront sits at the core of Experian’s business. We unify household, individual, device, demographic, behavioral, and first-party signals, along with contextual and geographic data points, to build a reliable view of consumers, even when specific signals are missing. This clarity helps you personalize, target, activate, and measure with confidence. By layering third-party data, contextual data, and geolocation data onto your first-party data foundation, your advertising strategies become stronger than if you used any of these sources as standalone solutions. How do different types of third-party data add depth to audience profiles? Third-party data expands understanding beyond known customers. If first-party data is the outline, third-party data helps with “character development”—a.k.a., adding detail to your audience profiles. Good third-party marketing data complements first-party insights with demographic, behavioral, and transactional context, providing the missing puzzle pieces to complete the full customer profile. Filling in gaps in customer understanding helps you identify, reach, and engage current and new customers more effectively. Third-party data allows brands to build loyalty with consumers by speaking to their interests and intent behind purchases. Third-party data opens up new targeting tactics for advertisers, such as: Behavioral How people engage with brands or how they use social media Demographic Age, gender, education, income, and religion Health A combination of demographics, behaviors, and health needs Interest Delivering ads based on interests, hobbies, or online activities Location Where people live, work, or spend large amounts of time Psychographics Shared characteristics like attitudes, lifestyles, and interests Purchases Using previous purchase behavior to identify the right audiences In addition to targeting, third-party data also remains critical to AI models, which must train on both structured and unstructured data. At Experian, our AI-powered technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring campaigns deliver meaningful relevance, not just broader reach. How are contextual and geographic approaches reshaping audience targeting? Contextual and geographic approaches to targeting focus on environment and behavior rather than identifiers. Regulatory scrutiny, stricter and more fragmented compliance standards, and rising consumer expectations are transforming how marketers approach third-party data targeting. Evolving privacy laws and inconsistent identifiers across environments require new approaches that balance performance and privacy. Contextual and geographic targeting help marketers reach relevant audiences while maintaining privacy. What is data-informed contextual targeting? Contextual targeting connects audience attributes to the content environments people choose. It helps determine the setting of your story—where your characters spend their time. Solutions like Experian’s Contextually-Indexed Audiences harness advanced machine learning technology to combine contextual signals (a tried–and-true targeting tactic) with third-party targeting to ensure marketers reach their target audiences on the content they tend to consume, regardless of environment or location. What’s excellent about data-informed contextual targeting is that it moves beyond traditional keyword-based strategies to reach consumers on websites that over-index for visitors with the demographics, behaviors, or interests they are looking to target. What is data-informed geotargeting? Geotargeting uses shared location patterns to support relevance at scale. Geotargeting is another possibility for further developing the scene of your story. People with similar behaviors and interests tend to live in similar areas, which is why so much effort goes into location planning for brick-and-mortar stores. Data-informed geotargeting combines geos with third-party data to make more informed media buys based on common behaviors within a geographic location. We launched our Geo-Indexed audiences, which use advanced indexing technology to identify and reach consumers based on their geographic attributes. These audiences help marketers discover, segment, and craft messaging for consumers without relying on sensitive personal information, enabling them to reach target audiences while maintaining data privacy confidently. What role does AI play in third-party data targeting? AI acts like an automated editor of your book, refining and finding new ways to put valuable third-party audiences and data to work without relying on segments linked to known or disparate identifiers. We’ve used AI and machine learning at Experian for decades to bring identity, insight, and generative intelligence together so brands and agencies can reach the right people, with relevance, respect, and simplicity. Why does a balanced, integrated approach that combines first-party, third-party, contextual, and geo-targeting data matter? The combined effects of integrating third-party, contextual, and geotargeting data (and the marketing tactics it underpins) with first-party data will drive your success. Think of how any good author crafts a story. Regardless of whether it’s fiction or non-fiction, they draw on both first-person experience and external research and sources to develop their plot. No single data source tells the full story. Integration allows marketers to understand audiences more completely and act with confidence. Pooling these inputs together moves you closer to your goal of understanding the whole story about your target customers. In fact, an almost even number of marketers plan to use contextual targeting (41%) and first-party data (40%) as their main targeting strategies, amid privacy laws and the loss of persistent advertisers. Primary data strategyPercent of marketers that plan to use this data strategyContextual targeting41%First-party data40% A brand with strong first-party insights can extend reach by layering in additional signals. For example, a nutrition brand that knows who purchases protein supplements can expand prospecting by combining: First-party signals Customers who purchase protein supplements Contextual signals Engagement with fitness blogs, healthy recipe content, or workout apps Geographic signals Consumers located in the Greater Philadelphia area By connecting these inputs, the brand can identify new health-conscious audiences with similar interests and behaviors. This approach supports privacy-safe targeting while improving engagement and performance. How can marketers build an integrated data strategy in 2026? An integrated data strategy reduces friction and supports scale. The right data partner offers a unified solution that helps unify data, activate audiences, and adapt as the ecosystem evolves. Here’s how: Organize data Create a clean, usable data foundation by eliminating fragmented silos. Experian’s solutions unify disparate data, enabling identity resolution and a single customer view. Create a complete profile Experian links a persistent offline core of personally identifiable information (PII) data with fresh digital signals, giving you a high-fidelity view of consumers to decorate with marketing data. This allows for improved customer understanding and personalized marketing that competitors struggle to replicate. Build addressable audience segments Create audiences using a mixture of signals, including first-party data, third-party behavioral, interest, and demographic data, as well as contextual signals. If you partner with Experian, you can use audiences built on our identity graph to guarantee accuracy, scale, and maximum addressability. Drive innovation Look for partners and platforms that prioritize innovation in finding new ways to reach target audiences across the ecosystem. You don’t want a vendor or a system that can’t keep pace and adapt with our rapidly evolving industry. Marketers who want to create and activate campaigns more efficiently and effectively in 2026 need an integrated approach that combines first-party, third-party, contextual, and geotargeting data. Streamlining data integration and activation positions brands and agencies for sustainable growth and stronger consumer relationships in a privacy-conscious marketplace. Build your next chapter on a connected data foundation As audience strategies evolve, connection and interoperability matter more than ever. Connect with our team to learn how Experian helps marketers unify data, identity, and activation across channels. About the author Scott Kozub VP, Product Management, Experian Scott Kozub is the Vice President of the Product Management team at Experian Marketing Services working across the entire product portfolio. He has over 20 years of product experience in the marketing and advertising space.  He’s been with a few startups and spent many years at FICO and Oracle Data Cloud heavily focused on loyalty marketing and advertising technology. FAQs How should CMOs think about data as part of their 2026 audience strategy? In 2026, CMOs should prioritize and invest in data and targeting strategies that combine first-party, third-party, contextual, and geographic data to drive growth, improve efficiency, and strengthen customer relationships.  Why is first-party data not sufficient on its own?  First-party data is not sufficient on its own because first-party data defines known customers but limits reach and frequency. Growth depends on expanding beyond existing relationships. The ability to unify different data sources with accuracy, scale, and privacy at the forefront sits at the core of Experian’s business. We unify household, individual, device, demographic, behavioral, and first-party signals, along with contextual and geographic data points, to build a reliable view of consumers, even when specific signals are missing. This clarity helps you personalize, target, activate, and measure with confidence. How do different types of third-party data add depth to audience profiles? Third-party data expands understanding beyond known customers. Third-party data opens up new targeting tactics for advertisers, such as:  - Location: Where people live, work, or spend large amounts of time- Health: A combination of demographics, behaviors, and health needs- Purchases: Using previous purchase behavior to identify the right audiences - Behavioral: How people engage with brands or how they use social media - Interest: Delivering ads based on interests, hobbies, or online activities- Psychographics: Shared characteristics like attitudes, lifestyles, and interests- Demographic: Age, gender, education, income, and religion  In addition to targeting, third-party data also remains critical to AI models, which must train on both structured and unstructured data. At Experian, our AI-powered technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring campaigns deliver meaningful relevance, not just broader reach.  What is data-informed contextual targeting? Data-informed contextual targeting connects audience attributes to the content environments people choose. It helps determine the setting of your story—where your characters spend their time. Experian’s Contextually-Indexed Audiences harness advanced machine learning technology to combine contextual signals (a tried–and-true targeting tactic) with third-party targeting to ensure marketers reach their target audiences on the content they tend to consume, regardless of environment or location. What is data-informed geotargeting? Data-informed geotargeting uses shared location patterns to support relevance at scale. Experian launched our Geo-Indexed audiences, which use advanced indexing technology to identify and reach consumers based on their geographic attributes. These audiences help marketers discover, segment, and craft messaging for consumers without relying on sensitive personal information, enabling them to reach target audiences while maintaining data privacy confidently. What role does AI play in third-party data targeting? In third-party data targeting, AI refines and finds new ways to put valuable third-party audiences and data to work without relying on segments linked to known or disparate identifiers. We’ve used AI and machine learning at Experian for decades to bring identity, insight, and generative intelligence together so brands and agencies can reach the right people, with relevance, respect, and simplicity.  Latest posts

For years, marketers have worked around a familiar disconnect. Campaigns go live first. Measurement follows later. Insights arrive after audiences are reached, and budgets are committed. That gap has slowed decisions, blurred performance signals, and limited marketers’ ability to respond when it counts. In 2026, that model changes. Activation and measurement no longer operate as separate steps. They function as a single system, where insight informs action as campaigns unfold. Consistency across identity, data, and decision-making sits at the center of this shift, connecting the full campaign lifecycle from planning through outcomes. How is marketing measurement shifting from post-campaign reporting to in-flight intelligence in 2026? Marketing measurement in 2026 is moving from retrospective reporting to real-time input that shapes campaigns while they run. Instead of explaining performance after delivery, measurement now guides creative, audience, and channel decisions as verified outcomes appear. Historically, measurement worked like a post-mortem. Dashboards showed what happened after campaigns ended, or weeks after impressions were delivered. Those insights supported long-term planning but rarely influenced performance in the moment. That dynamic has changed. Today, marketers embed measurement directly into activation. Campaigns adapt while they run. Creative evolves based on engagement quality. Audience strategies adjust as verified outcomes come into view. Channel investments respond to performance signals, not assumptions. Connected ecosystems make this possible. Experian helps marketers plan, activate, and measure within a single framework by linking audiences, identity, and outcomes. When planning and performance live in the same environment, insight becomes actionable in the moment. Why is identity the connective layer between activation and measurement? Identity provides the consistent thread that links planning, activation, and outcomes into a unified system. Without it, marketers rely on proxy signals and disconnected views of performance. For years, fragmented identity frameworks made it difficult to connect media exposure to real-world outcomes. Without a consistent way to recognize audiences across planning, activation, and measurement, marketers relied on proxy metrics and modeled assumptions. That's changing as identity becomes interoperable across the ecosystem. Experian’s Digital and Offline Graphs help marketers onboard and resolve their data into a clean, connected foundation that supports everything that follows. From building audiences enriched with behavioral, demographic, and lifestyle insights, to activating those audiences across channels like connected TV (CTV), social, and programmatic through direct integrations with more than 200 platforms. When identity stays consistent from the first impression through final outcome, marketers gain a clearer view of what drives performance and where to act next. 2026 Digital trends and predictions report Our 2026 Digital trends and predictions report is available now and reveals 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 toward more connected, data-driven marketing. The interplay between them will define how marketers will lead in 2026. Download How does closed-loop measurement become standard in 2026? Closed-loop measurement is becoming the default as activation and measurement come together. Marketers now tie exposure directly to verified business outcomes instead of relying on inferred signals. In partnership with MMGY Global, we helped Windstar Cruises connect digital impressions directly to bookings. The result was more than 6,500 verified bookings and $20 million in revenue tied back to campaign exposure. That translated to a 13:1 return on ad spend. Download the full case study here This level of accountability changes how marketers optimize. Instead of relying on clicks or inferred intent, teams can measure outcomes that reflect business impact. Store visits. Purchases. Site activity. These signals now guide decisions while campaigns are live. Through curated private marketplace deals and supply-path optimization, Experian also helps reduce cost, and improve reach and performance. With Experian and Audigent operating as one, marketers gain access to scalable, privacy-conscious data solutions that support both addressability and accountability across the supply chain. What should marketers plan for as activation and measurement connect in 2026? Marketing teams should prepare for an operating model built around continuous feedback, unified systems, and verified outcomes. This shift changes how success is defined and managed. Marketers should plan for: Always-on feedback loops Real-time signals guide creative, audience, and channel decisions while campaigns are in flight. Unified planning, activation, and outcome validation Integrated identity and audience frameworks allow marketers to trace value across every impression, not just the last click. Outcome-based performance signals Measurement will focus less on surface-level performance and more on true business impact, including sales, bookings, and long-term value. Greater use of first-party data Connected first-party data supports consistent activation and outcome validation across channels. Whether you're activating your own data or reaching new audiences, Experian connects every stage of the campaign. From early planners to last-minute buyers, we help you show up in the moments that matter and prove what is working. The takeaway Marketing's next chapter centers on connection. As data systems unify, activation and measurement operate as one. Insight flows directly into action. Decisions are guided by intelligence, not delayed reporting. With Experian, marketers plan, reach, and measure in a connected cycle. Every impression is measurable. Every audience is accurate. Every decision is powered by data ranked #1 in accuracy by Truthset. To explore this trend and the others shaping marketing in 2026, download our 2026 Digital trends and predictions report. Download Ready to connect with our team? About the author Ali Mack VP, AdTech Sales, Experian Ali Mack leads Experian’s AdTech business, overseeing global revenue across the company’s expansive tech and media portfolio. With over a decade of experience in digital and TV advertising, Ali drives strategic growth by aligning sales, customer success, and solutions teams to deliver impactful outcomes for clients and partners. She has successfully guided teams through two major acquisitions, integrating sales organizations and product portfolios into unified go-to-market strategies. Under her leadership, Experian has consistently exceeded revenue targets while fostering collaborative, results-driven teams and mentoring emerging leaders. Working closely with finance, product, and marketing, Ali develops strategies that support a diverse ecosystem of publishers, brands, and technology partners, positioning Experian at the forefront of data-driven advertising and identity resolution. FAQS How is marketing measurement shifting from post-campaign reporting to in-flight intelligence in 2026? Marketing measurement in 2026 is moving from retrospective reporting to real-time input that shapes campaigns while they run. Instead of explaining performance after delivery, measurement now guides creative, audience, and channel decisions as verified outcomes appear. Connected ecosystems make this possible. Experian helps marketers plan, activate, and measure within a single framework by linking audiences, identity, and outcomes. When planning and performance live in the same environment, insight becomes actionable in the moment. Why is identity the connective layer between activation and measurement? Identity provides the consistent thread that links planning, activation, and outcomes into a unified system. Without it, marketers rely on proxy signals and disconnected views of performance. Experian’s Digital and Offline Graphs help marketers onboard and resolve their data into a clean, connected foundation that supports everything that follows. From building audiences enriched with behavioral, demographic, and lifestyle insights, to activating those audiences across channels like connected TV (CTV), social, and programmatic through direct integrations with more than 200 platforms. How does closed-loop measurement become standard in 2026? Closed-loop measurement is becoming the default as activation and measurement come together. Marketers now tie exposure directly to verified business outcomes instead of relying on inferred signals. In partnership with MMGY Global, we helped Windstar Cruises connect digital impressions directly to bookings. The result was more than 6,500 verified bookings and $20 million in revenue tied back to campaign exposure. That translated to a 13:1 return on ad spend. What should marketers plan for as activation and measurement connect in 2026? Marketers should plan for: always-on feedback loops, unified planning, activation, and outcome validation, outcome-based performance signals, and greater use of first-party data. Whether you're activating your own data or reaching new audiences, Experian connects every stage of the campaign. From early planners to last-minute buyers, we help you show up in the moments that matter and prove what is working. Latest posts

A decade ago, you could buy media by broad categories and call it a day. But today, your audience lives in a curated world. They watch what they want, skip what they don’t, and expect what they see to match their interests. Research shows that when ads are tailored to households, people pay more attention, stay engaged longer, and are more likely to remember your ads. That shift in expectations is why addressable advertising continues to grow. It’s a practical response to how media works today, with audiences moving fluidly across platforms, streaming spread across services, and measurement spanning screens and environments. Under these conditions, reaching the right people depends on clarity, not approximation. Artificial intelligence (AI) strengthens that clarity. When applied responsibly, AI helps connect signals, deepen audience understanding, and deliver relevant messages while protecting consumer data. The result is advertising that feels more human, not less. What is addressable advertising? Addressable advertising is the ability to deliver personalized ads to specific individuals or households and measure results using privacy-safe data and identity.  It works across digital, connected TV (CTV), linear TV, and over-the-top (OTT) streaming and relies on strong identity resolution and accurate data inputs to ensure your audience definitions remain consistent across channels and over time. Benefits of addressable advertising Addressable advertising changes how advertising performs by delivering messages to defined audiences, reducing wasted impressions, and making results simpler to measure. BenefitWhat it means for youClarityReach the right audience with the personalized messages they want, instead of hoping the right people are watchingEfficiencyAvoid wasted impressions by focusing spend where interest already existsHigher ROIImprove conversion by delivering messages that feel relevantOmnichannel consistencyCarry the same message across digital and TV without starting overMeasurable impactConnect exposure to actions so performance is clearPrivacy and complianceActivate audiences responsibly using privacy-safe data, clear governance, and compliant practices These are some of the reasons that addressable advertising has moved from a niche tactic to a core strategy. When audiences are clear, identity is connected, and measurement is built in, advertising becomes relevant, accountable, and easy to improve over time. Addressable advertising vs. traditional advertising Unlike traditional advertising, addressable advertising doesn’t depend on broad exposure or assumptions. It’s personalized by design and measurable by default, making it possible to connect ad exposure to outcomes. Another distinction is in how addressable delivers advertising to audiences and how performance is measured. Traditional media buysAddressable advertising buysYou pay for broad reachYou pay for relevant reach to defined audiencesAds run by placement or programAds are delivered to known households or individualsPersonalization is limitedPersonalization is built into deliveryMeasurement indicates trends, not who actually actedMeasurement connects exposure to actions by linking ads to defined audiences across channels But before you can activate addressable advertising, you need to understand who you’re actually trying to reach. What is an addressable audience? An addressable audience is a group of people you can identify and reach using data-based targeting. In other words, they’re not anonymous “maybe” viewers. They’re a defined audience you can activate across channels. Here’s what typically builds addressable audiences: FactorWhat it isWhy it mattersFirst-party dataData from your own relationships (site activity, app activity, CRM, emails, purchases)It’s your most direct view of existing customers and prospectsThird-party household and individual dataDemographic, behavioral, lifestyle, interest, and intent attributes from trusted providersIt fills gaps so your audience definitions don’t collapse when your own data is limitedIdentity resolutionA privacy-first way to match people across devices, households, and channelsIt improves accuracy so you don’t over-message the same people or miss them entirelyContextual signalsPage-level, content, or viewing context where ads appearIt reinforces relevance in the moment and complements addressable targeting when identity signals are limited How Experian helps with addressable audiences Experian helps you build and activate addressable audiences at scale without losing accuracy or trust. With more than 3,500 syndicated audiences available, you can activate consistently across 200+ destinations — including social platforms like Meta and Pinterest, TV and programmatic environments, and private marketplaces (PMPs) through Audigent. That means reaching people based on who they are, where they live, and their household makeup, using data governed with care. Our approach is built on accuracy first, which is why Experian data is ranked #1 in accuracy by Truthset for key demographic attributes. And when standard customer segments aren’t enough, Experian Partner Audiences expand what’s possible. These unique audiences are available through Experian’s data marketplace, within Audigent for PMP activation, and directly on platforms like DIRECTV, Dish, Magnite, OpenAP, and The Trade Desk. The evolution of addressability and why it matters more than ever As the media ecosystem shifts, reaching people across browsers, apps, CTV, and streaming platforms has become more complex. Signals are fragmenting everywhere as expectations for relevant, personalized experiences continue to rise, while reliable identifiers become increasingly challenging to access. In response, addressability is shifting from a channel-specific tactic to an identity-driven approach to reach and measure defined audiences across screens. That evolution puts new pressure on performance. Marketing budgets require accuracy and accountability, which means targeting must deliver measurable reach and outcomes you can trust. At the same time, the growth of CTV and streaming is expanding addressable TV opportunities. As CTV inventory grows, so does the need for cross-channel, identity-based activation that works consistently and supports reach, frequency, and measurement in one connected view. That’s why identity has become the foundation for making addressable advertising work today. When to apply addressable advertising You don’t need addressable for everything, but it shines when you need your spend to go farther with accurate targeting and resonant messaging. ScenarioWhy addressable helpsProduct launches and seasonal pushesReach people who are more likely to care without flooding everyone elseHigh-consideration purchases (auto, travel, financial services)Focus on likely intent and suppress audiences that don’t fitCross-channel campaigns (digital, TV, mobile)Keep messaging consistent across screensWhen using first-party data with AIUse AI customer segmentation to scale responsibly and improve performance without sacrificing accuracyRegulated categoriesRely on compliant data practices and clearer controls for regulated industries Addressable advertising is one way to put relevance and respect into practice — but it shouldn’t be the only time these principles apply. Marketers are expected to be thoughtful about who they reach, how often they show up, and how data is used across every channel. Addressable simply makes it easier to live up to that standard when accuracy, accountability, and scale matter most. Addressable advertising and third-party data There’s a common misconception that third-party data is no longer useful, but what’s really changed is the environment around it. In the early days of digital advertising, third-party data often felt like the Wild West. Today, modern third-party data is more transparent, better governed, and held to far higher standards with: Clear data sourcing Documented consent practices Regular quality audits Strict limits on how data can be used Used responsibly, third-party data plays a critical role in addressable advertising by complementing your first-party data and keeping audience strategies flexible as signals change. Benefits of third-party data When paired with identity resolution, high-quality third-party data helps you: Fill first-party gaps: Add demographic, behavioral, and interest-based insight when your own data is limited. Expand prospecting: Reach new audiences through modeling and lookalike expansion. Enrich segmentation: Combine household, behavioral, and interest signals to tailor creative, offers, and messaging to interests for more accurate and personalized activation. Support cross-channel addressability: Maintain consistent audience reach across devices and channels even as individual signals change. Why work with Experian for your data needs? At Experian, we approach third-party data with the belief that trust comes first. Our data is privacy-compliant, ethically sourced, and governed by strict standards so you can use it confidently. Accuracy matters just as much. Our identity and data-quality framework verifies that the data behind your audiences holds up in the real world — a key reason Experian is ranked #1 by Truthset for key demographic attributes. And because addressable advertising only delivers value when audiences move seamlessly from planning to activation, our audiences are interoperable by design. You can activate them across digital, social, and CTV platforms without rebuilding or reformatting your strategy for each channel. How AI is redefining customer segmentation Addressable advertising depends on audiences that stay accurate as people move across devices, platforms, and moments. Traditional segmentation built on static rules and snapshots in time can’t keep up with that reality. AI customer segmentation analyzes massive sets of household and individual data (such as intent, household demographics, purchase behavior, and content consumption) to identify patterns, predict intent, and group people into addressable audiences. As the AI advertising ecosystem continues to mature, reflected in industry frameworks like the LUMA AI Lumascape, segmentation and identity have become foundational layers rather than standalone tools. Those audiences update as conditions change, so they stay relevant instead of aging out. Here’s how AI-driven segmentation supports addressable advertising. What AI enablesWhy it mattersPredictive, intent-based audiencesAnalyze behavioral and transactional data to group people based on likely next actionsBroader audience availabilityAs more data signals are incorporated responsibly, AI makes it possible to support a wider range of addressable audience options without sacrificing accuracyDeeper insights from dataDiscover what people care about, how intent is forming, and which signals are most important with larger, more diverse data setsReal-time audience updatesKeep segments aligned as behaviors change, not weeks laterHigher accuracy, less guessworkRely on data-driven patterns for decision-making instead of assumptionsOngoing optimizationRefine audiences throughout the campaign lifecycle as performance signals come in We’ve used machine learning and analytics for decades to support responsible segmentation — balancing performance with privacy and transparency. That foundation now supports addressable advertising that adapts in real time while staying grounded in trust. Addressable TV: Targeting in the streaming era TV has become an addressable channel powered by data and identity resolution. CTV and OTT streaming are booming, while linear TV continues to decline, reshaping how people watch and how advertising works alongside it. For the first time, CTV spending is expected to outpace traditional TV ad spending in 2028, reaching $46.89 billion and signaling that addressable TV is now central to the media mix. With CTV and OTT platforms, advertising can now be delivered at the household level. That means two homes watching the same show can see different ads based on who lives there and what they like. This is what makes addressable TV possible. Benefits of addressable TV As streaming inventory continues to grow, addressable TV creates new ways to bring relevance and accountability to a channel once defined by broad exposure. Experian links identity data across streaming, linear, and digital platforms to help you manage frequency, attribution, and household-level insights in one connected view. Addressable TV also raises the bar. To manage reach, frequency, and measurement across streaming and linear environments, addressable TV depends on identity resolution that connects households across screens. Here’s how addressable TV helps you when identity is in place. What addressable TV enablesWhy it mattersHousehold-level targetingDeliver messages that reflect who’s watching, not just what’s onFrequency control across screensReduce overexposure and improve viewer experienceCross-channel measurement and attributionConnect TV exposure to digital actions, site visits, and conversionsMore efficient use of TV spendBring accuracy, accountability, and outcome-based insight to premium inventory and improve reach of streaming-first, harder-to-reach viewer segments Ultimately, addressable TV isn’t a replacement for linear TV, but it is an evolution. As streaming becomes the default viewing experience, the ability to engage TV audiences with the same care and clarity as digital is essential. Use cases for addressable advertising Addressable advertising works across industries because it adapts to how people make decisions. The examples below are illustrative scenarios that show how addressable audiences, identity resolution, and AI-driven segmentation can come together in practice using Experian solutions. Retail: Seasonal promotions A home décor retailer could use identity resolution and AI-driven segmentation to build addressable audiences, such as holiday decorators and recent movers, who are more likely to engage during peak seasonal periods. Campaigns could then be activated across CTV, display, and social, helping the retailer stay visible across screens while tailoring creative to seasonal intent. Automotive: In-market car buyers An auto brand might identify consumers nearing lease expiration using automotive-specific data tied to household and individual attributes. By suppressing current owners, the brand could avoid wasted impressions and activate addressable audiences across OTT and mobile to reach likely buyers during active consideration. Financial services: Credit card launch For a new credit card launch, a national bank could use modeled financial segments to reach credit-qualified prospects. Addressable digital advertising campaigns could apply frequency controls and personalized messaging, balancing reach with relevance while seamlessly measuring response. Streaming media: New subscriber growth A streaming platform looking to grow subscriptions could use an identity graph to exclude current subscribers. Likely viewers could then be targeted across CTV based on content preferences and viewing behavior, keeping spend focused on net-new growth. Media and entertainment: Audience expansion for a new release Ahead of a new release, a film studio could use behavioral and lifestyle data to identify likely moviegoers and fans of similar franchises. Addressable campaigns across CTV and digital video could help drive awareness and opening weekend attendance. Travel: High-value traveler acquisition A travel brand could use travel propensity data and household-level demographics to identify frequent flyers and family vacation planners. Personalized offers could then be activated across display, social, and programmatic channels to increase bookings while keeping spend focused on higher-value travelers. How Experian enables more effective addressable campaigns Addressable advertising is most effective when identity, data, and activation are connected from the start. Experian brings trusted household and individual data, privacy-first identity resolution, and broad activation partnerships together so you can move from audience insights to activation with minimal friction. Here’s how that comes to life across our core offerings. Identity resolution with Consumer Sync Consumer Sync connects devices, emails, digital identifiers, and offline data into a single, privacy-safe identity foundation. This connection helps your audiences stay consistent across streaming, linear TV, mobile, and digital despite changing signals. Audience insight and segmentation with Consumer View Consumer View supports clear segmentation, prospecting, and enrichment across industries. It combines demographic, behavioral, and interest-based data to help you build accurate, intent-driven audiences that reflect real people, not assumptions. Data is continuously updated and governed for accuracy. Omnichannel activation with Audience Engine Audience Engine enables direct activation of Experian audiences across CTV, digital, social, and programmatic platforms. It supports suppression, frequency management, and cross-channel consistency to keep messaging aligned and exposure controlled. More efficient media through curation and Curated Deals Curation combines data, identity, and inventory through Experian Curated Deals. These deal IDs, available off-the-shelf or privately, make it easier to activate high-quality audiences and premium inventory in the platforms you already use without custom setup. AI-enhanced segmentation and optimization Our AI-enhanced models analyze large data sets to create and refresh addressable audiences in real time, supporting intent-based targeting and ongoing optimization throughout the campaign lifecycle. These models work seamlessly with demand-side platforms (DSPs), ad platforms, and data clean rooms, so audience insights flow directly into activation and measurement without added complexity. Seamless integration with your ecosystem As an advertiser, you want addressable advertising to fit naturally into how you already plan and buy media. That’s why integration matters as much as insight. Experian integrates with leading DSPs, ad platforms, and data clean rooms, so you can activate addressable audiences in the environments you already use without reworking your strategy or adding complexity. This approach helps you: Build and activate addressable audiences: Reach the people you want with accuracy and respect. Activate across channels: Keep messaging consistent across digital, TV, and streaming. Optimize with data ranked #1 in accuracy by Truthset: Improve performance using the industry’s most reliable data. When identity, data, AI, and activation come together, addressable advertising does what it’s supposed to do: deliver relevance naturally, measure impact clearly, and give you confidence in every decision along the way. That’s the foundation for campaigns people want to engage with. Start creating campaigns audiences want to see Experian can help you apply addressable advertising in ways that respect consumers, perform across channels, and stand up to real-world measurement. Connect with our experts today to explore how addressable audiences, AI-driven segmentation, and identity-powered activation can work together in support of your goals. FAQs about addressable advertising What is addressable advertising? Addressable data-driven advertising involves delivering personalized ads to specific individuals or households using privacy-safe data and identity. What is an addressable audience? An addressable audience is a defined group of consumers you can identify and reach based on known household or individual attributes. What makes advertising addressable? Advertising becomes addressable when it’s possible to identify the audience by linking devices and households to people through identity graphs. This allows you to measure ad performance at the audience level and provide more personalized advertising. Is addressable advertising just for TV? Addressable advertising isn’t just for TV; it also works across digital, mobile, streaming, and social channels. How does AI help addressable advertising? AI improves addressable advertising by analyzing large data sets to predict intent, build more accurate audiences, boost performance over time, and improve your ability to find and build your audiences. Can addressable advertising work without cookies? Yes — identity resolution and first-party data are key to cookieless addressability. How does Experian support addressable advertising? Experian supports addressable advertising by providing trusted consumer data, privacy-centric identity resolution, and curated audience segments that activate across CTV, digital, mobile, and streaming platforms. Latest posts