Artificial intelligence (AI) is becoming a bigger part of modern advertising, changing how brands connect with people. At Experian, we believe this technology should make marketing more human, not less. We use AI to help marketers understand consumer behavior, respect privacy, and deliver messages that matter. As part of our latest Cannes Content Studio series, we spoke with leaders from AdRoll, MiQ, OpenX, Optable, PMG, PubMatic, and Yieldmo. Their insights show a clear path forward; one where technology supports human strategy to create more meaningful connections.  1. How does AI help you see audiences more clearly? AI decodes complex behavioral signals to reveal the values and mindsets behind decisions, and increasingly, it predicts what audiences will care about next. This allows marketers to deliver timely, relevant messages that resonate with audiences. At Experian, we help brands use these insights to connect more meaningfully and ethically. Takeaway: Experian’s tools help brands uncover audience insights, enabling more meaningful and ethical connections. 2. Where does AI actually save time, and improve results? Running campaigns is time-consuming. Solutions like Agentic AI now orchestrate end-to-end campaign workflows, audience building, trafficking, QA, pacing, and routine optimizations, so teams focus on strategy and creativity. Many leaders (94%) are investing broadly in AI to drive efficiency and impact, and 49% of marketers use it daily for image and video generation, shifting repetitive tasks from people to tools. By quickly combining past and current performance data, AI can pre-optimize before launch and refine mid-flight, while marketers steer the message and experience. "AI uses past campaign data to optimize performance before launch, continues learning during the campaign, and refines strategies based on the insights it generates, driving better results over time.”Howard Luks Takeaway: Experian’s solutions streamline campaign workflows, allowing marketers to focus on creativity and strategy while improving results. 3. How do AI and human strategy work together in real time? AI handles real-time data analysis and optimization, freeing marketers to focus on strategy, messaging, and creativity. By defining audiences once and activating them across platforms, teams can adapt quickly and confidently. At Experian, we combine machine intelligence with human insight to deliver smarter, more agile campaigns. “AI analyzes data, pulls insights, and automates optimizations, allowing marketers to focus on strategy, messaging, and creativity instead of spending time digging through numbers and data."Lizzie Chapman Takeaway: Experian solutions empower marketers to adapt quickly and confidently, combining human strategy with insights. 4. What does privacy-first look like now? Relying on simple, static data points is no longer enough. A modern approach to identity blends deterministic data (like known identifiers) with modeled components, ensuring data remains de-identified where possible. Clear, transparent guardrails, permitted-use policies, retention limits, sensitive-category blocks, and audit trails, help brands balance personalization with privacy, build trust, and respect user choice. "A new blend of identity systems combines deterministic data, known identifiers, and model driven components, creating fresh ways to address identity and activate campaigns with precision.” Vlad Stesin Takeaway: Experian’s privacy-first identity solutions help brands balance personalization with safety, ensuring trust and compliance. 5. Which new data signals matter, and why? AI is unlocking a new generation of data signals, like content context, sentiment, emotional tone, suitability, attention, and commerce intent, that go beyond legacy identifiers like cookies and demographics. These signals can help brand messages appear in the most relevant environments and by high-value audiences. Used well, they improve relevance, avoid placements near unsuitable or off-brand content, and drive stronger campaign outcomes. "Unlocking new data sets (like emotion, sentiment, and context), AI is creating innovative ways to connect client content with advertising opportunities and rethink how we approach the market.” Sam Bloom Takeaway: Experian’s solutions use advanced data signals to help marketers create more effective and innovative campaigns. Why Experian for human-centered AI? We deliver on the promise of AI-powered marketing through five pillars: See audiences clearly across households, individuals, and devices. Recommend next‑best audiences and automate setup for faster execution. Adapt in real‑time to keep relevance high. Innovate responsibly with strong governance and transparency. Plan, activate, and measure campaigns on one unified platform. The future of intelligent marketing AI will keep accelerating, but the goal stands: make marketing more human. Teams that blend privacy‑first identity, predictive insight, AI‑powered simplicity, and real‑time intelligence will earn trust and drive outcomes. Experian helps you bring those pieces together so every campaign moves from assumptions to clarity, and from activity to measurable results. Talk to Experian about building human-centered AI into your marketing strategy FAQs How does AI help marketers understand audiences better? AI analyzes complex signals, behaviors, values, and mindsets to provide a clearer picture of what matters to audiences. That clarity makes messaging feel personal and relevant. Learn more about Experian’s Digital Graph and how it can help marketers understand audiences better.  Where is AI improving campaign efficiency today?   Automation reduces manual setup and reporting, so teams focus on strategy and creative. Nearly half of marketers (49%) use AI daily for image and video generation, reflecting this shift.  What does “smarter activation across platforms” mean? Smarter activation across platforms means defining audiences once, then carrying them across channels with live feedback, so relevance and suitability stay high. See how Experian enables smarter activation with our data and identity solutions.  How is AI changing identity?  Privacy‑first identity blends deterministic and modeled components, keeping data de‑identified where possible. Experian’s solutions balance personalization with safety. Learn about Experian’s identity solutions is changing identity.  Why is structured data important for AI‑driven marketing?   AI systems rely heavily on brand‑managed sources. 86% of citations come from websites, listings, and reviews, so clean, accurate, structured data makes your answers and your brand more discoverable. Discover how Experian supports structured data for AI-driven marketing.  Latest posts

In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with George Castrissiades, General Manager of Connected TV at AdRoll. Premium reach and fragmentation As viewer attention fragments across platforms, how should marketers redefine “premium reach” in CTV to prioritize engagement and audience quality over scale alone? A few years ago, ad supported streaming over-indexed on younger adults, those without much financial history and much more budget conscious. It would have been fair for B2B brands to assume that maybe they weren’t going to find their C-Suite audiences on those channels, and so connected TV(CTV) was positioned as a top of funnel tactic aimed at retail. But that’s all changed - ad-free prices are going up, and ad supported tiers are the norm across the majority of channels. 66% of adults have at least one ad supported streaming channel, and adults today spend nearly as much time streaming movies and TV as they spend on their mobile phones. Now that ad viewing audiences on CTV really span the full spectrum of demo, techno, and firmographic segments, savvy marketers should partner with platforms that offer breadth and depth of targeting and measurement to find the highest value audiences wherever they’re watching CTV and serve them highly relevant ads that draw their attention towards the screen. I know I’m jumping out of my seat whenever I see an AdTech or MarTech ad. Identity and relevance What does a strong identity framework unlock for delivering household- and person-level relevance across screens, and how does it reshape audience planning? In privacy-safe ecosystems, people want to share less data and log in to websites and browsers less frequently. If you can’t resolve a household ID to a CTV device through Safari and other sources of obfuscated identity, you’re going to end up losing a lot of signal along the way. On top of that, targeting smaller, higher-value audiences means this attrition can have a profound impact on your ability to build meaningful reach and use audience forecasts to predict scale. A strong identity framework is the key to maintaining as much of your planned audience as possible and staying true to initial forecasts. AI and outcome planning How is AI evolving CTV from tactical bidding to strategic outcome planning, and what mechanisms are in place to validate true performance lift? Tomorrow isn’t guaranteed, especially not in advertising. Audiences change where and when they consume media, and so shifting budget to a placement that did well yesterday is like buying a stock when it’s outperforming - the gains might be gone by then! Predictive AI is bridging the gap to find the highest value and most engaged audiences in real time, versus being purely reactive. This helps drive outcomes which we see in the form of pipeline influence, ROAS, and site traffic lift - without exponentially increasing costs. The same is true for account-based marketing(ABM) outcomes - there’s a blend of signals, account “fit” and intent data that needs to be evaluated in a deeper, more intelligent way. AI is helping to find those highest value accounts, even before they’re in market, which means smart marketers aren’t showing up late to the party. Measurement and incrementality What privacy-safe, closed-loop measurement frameworks should become standard to prove incremental visits and sales from CTV campaigns? Working with a dedicated multichannel, full-funnel ad and marketing platform like AdRoll can easily let you know when a user arrives at your site and makes a purchase, but understanding how that customer arrived there and which tactics deserve the credit requires a deeper, more sophisticated workflow. Our partnership with Experian allows all devices in a household to ladder back up to a household ID, so we can ensure accuracy without pivoting on anything personally identifiable. This works perfectly in CTV, an environment that follows an app workflow of user resettable device IDs rather than IP address or email but always connects seamlessly to web tokens including cookies. Accuracy, scale, and privacy are maintained in a proven way - you see this tech underpinning the infrastructure of streaming across all the biggest players, so marketers can rest easy. Creative and commerce How can creative sequencing and shoppable TV experiences convert living-room attention into commerce without compromising user experience or feeling intrusive? I like to say that CTV trades attention for action. Users lean back and focus on the messaging and visuals of the big screen rather than scrambling for the mouse or tapping to close some intrusive pop-up. This focus means that the messaging is absorbed more quickly, but creatives can wear out their welcome just as fast. Sequential messaging really helps to move the messaging along without subjecting the viewer to longer ads where attention wanes, but also increases brand recall and specific product information because the story evolves with each impression. This is a great tactic to use when you want a viewer to take a specific action later - but shoppable ads can help motivate a user to act now, and new formats can really simplify things. Shoppable can feel out of range for most - the top players in this space own major e-comm storefronts and then tie them back into their own demand-side platforms (DSPs), content, and streaming devices. For the rest of us, dipping our toes in slowly through simple and cheap solutions like QR codes can connect audiences right to a web experience from their TVs, or intermediate solutions like interactive video ads. Users love to play around with fun on-screen experiences, and there’s a whole spectrum of crawl/walk/run options available. Trust and governance Which shared guardrails—brand safety, fraud control, and frequency management- are essential to unlocking sustainable, scaled investment in CTV? I’ve always thought of CTV inventory analogously to high-end watches - if you buy from the source or a well-known, reputable dealer, you’re probably buying the real thing. But that fancy timepiece the guy was selling outside the bar, that you swore looked real? Probably not. Untrusted resellers and too-good-to-be-true pricing might mean you’re running ads on a screen at a lonely gas station at 3 am to an audience of no one, and that's not even the worst case scenario. Good relationships and deep pockets can solve brand safety and fraud issues, but not every advertiser is going to have those resources. Brand safety and fraud prevention can reduce workload and help distinguish the good stuff from the growing pool of gray area, arguably, CTV inventory that isn’t what was promised to a customer. Outsourcing this trust also goes a long way, with buyers knowing you’re not grading your own homework. Frequency management is equally as important. Once you have your audience and your good supply, it’s important not to abuse a single household just because they meet your targeting criteria. Reach is your best friend with CTV. Data and audience strategy How do Experian’s syndicated audiences provide a consistent, scalable foundation for planning, activation, and measurement across CTV and digital, and what outcomes are clients seeing? We love to talk about how Experian’s data is such an integral part of so much of streaming’s architecture, and the fact that it’s built on deterministic datasets means you’re getting scaled audiences built on knowledge rather than best guesses. That means a lot when working across multiple channels, privacy-safe environments, and households with an ever-growing number of connected devices. Our customers are always delighted at how precise targeting can be, especially in the B2B/B2C space - and knowing the size of those audiences helps them to understand how budget transforms into reach in a more predictable way. It’s confidence-inspiring to point to a new audience and tell your client that these are their future customers. The best part is showing them the outcomes reporting - we consistently see a massive spike in site traffic and engagement on days when a new Experian syndicated audience is launched! Contact us FAQs Why is identity resolution important in CTV? Identity resolution ensures marketers can connect devices and maintain audience accuracy. Experian's identity solutions help reduce data loss and improve audience forecasts, making campaigns more effective. How can marketers find the right audiences on CTV? With viewer attention spread across platforms, marketers need tools that offer both broad and detailed targeting. Experian's syndicated audiences provide reliable, scalable data to help identify and reach high-value audiences across channels. How can creative strategies improve CTV campaigns? Techniques like sequential messaging and shoppable ads keep viewers engaged and encourage action. Simple tools like QR codes or interactive video ads can connect audiences to web experiences directly from their TVs. How do DSPs benefit from strong identity frameworks in CTV? Strong identity frameworks help DSPs maintain accurate targeting and audience reach, even in privacy-focused environments. By connecting devices to household IDs, solutions like Experian’s Digital Graph ensure DSPs can deliver relevant ads and measure performance effectively across channels. About our expert George Castrissiades, General Manager of Connected TV, AdRoll George leads the CTV go-to-market strategy at NextRoll, driving rapid growth and adoption of the channel for both B2B and B2C customers. With a track record of building and scaling CTV solutions, he is focused on developing a strategic playbook that accelerates success in the evolving digital advertising landscape. Before joining NextRoll, George spearheaded CTV product innovation at iSpot.tv and held leadership roles in product and operations at YouTube, VICE Media, Crackle, Roku, and Innovid. His expertise spans product development, monetization, and market expansion. About AdRoll AdRoll is a connected advertising platform built for growth-minded marketers. With powerful AI, flexible campaign tools, and seamless integrations, AdRoll helps mid-sized businesses turn complexity into clarity and clicks into customers. The AdRoll platform delivers full-funnel performance through multi-channel advertising, audience insights, and cross-channel attribution, supporting marketers across industries including ecommerce, technology, financial services, education, and more. For B2B teams, AdRoll ABM extends these capabilities with account-based precision, multi-touch campaigns, and real-time buyer intelligence. Backed by nearly 20 years of data and award-winning support, AdRoll enables marketing teams to advertise smarter, move faster, and achieve more, all from one place. Latest posts

Every marketer has seen it: a customer browses reviews on a laptop, adds items to a cart on mobile, then “disappears.” In reality, they just likely switched devices or logged in with a different email. Identity resolution connects these scattered signals into a single profile so you never lose sight of the customer journey. Identity resolution is what helps you keep track of customers who bounce around. Connecting scattered signals into a single customer profile can help you deliver seamless experiences, meet strengthening privacy standards, turn first-party data into measurable results, and fuel better customer analytics. See our identity resolution solution in action Learn about it here What is identity resolution? Identity resolution is the process of pulling together the different identifiers a customer uses and connecting them to a single profile. Without it, you’re left with an incomplete picture of the customer — like a cart tied to one email, an app login tied to another device, or a loyalty swipe that never links back to the same person. Common identifiers include: Cookies: Short-lived browser data Emails: Plain-text and hashed Device IDs: Mobile advertising IDs (MAIDs) or app-based identifiers Loyalty IDs: Program numbers that tie online and offline activity Hashed PII: Personally identifiable information (PII) encrypted for privacy Ultimately, identity resolution can help you recognize the same customer wherever they engage. Why does identity resolution matter now? Marketers face incomplete views, data silos, privacy regulations, and shrinking visibility: Rising consumer expectations: People want seamless, personalized journeys across touchpoints. Privacy-first environment: Consumer privacy legislation (like the GDPR, CCPA, GLBA, FCRA, and new state laws) makes compliance non-negotiable. Signal loss: The decline of cookies, MAIDs, and walled gardens are pushing brands toward first-party data. Experian utilizes AI and machine learning to fill these gaps, predict behaviors, and connect signals across devices — providing marketers with a clear, privacy-safe view of their customers, even when traditional identifiers are missing. In this environment, identity resolution matters because it gives marketers a way to deliver seamless, personalized customer experiences and engage audiences effectively while respecting their privacy. It’s the basis for turning consented first-party data into measurable marketing outcomes without sacrificing trust. Talk to an expert Why is identity resolution critical in a privacy-first world? Even as cookies linger, marketers have already shifted their strategies to rely on first-party data, where choice and transparency are the baseline expectation. At Experian, our long history as a regulated data steward makes us a uniquely capable and trusted partner for managing modern compliance expectations. Our identity resolution solutions maximize the value of permission-based data while meeting consumer demand for privacy, personalization, and control. Struggling with scattered customer data? Experian makes identity resolution seamless Learn more How does identity resolution help brands? Identity resolution turns fragmented signals into unified profiles that drive personalization, efficiency, and compliance. Here’s how it creates measurable business impact. Creates a unified customer view One of the biggest advantages of identity resolution is the ability to integrate data from loyalty programs, point-of-sale (POS) systems, customer relationship management (CRM) platforms, web analytics, and offline sources into a single, comprehensive profile. Experian strengthens identity resolution with AI-driven clustering models that resolve household and individual identities across billions of signals with greater accuracy. With a clearer picture of each customer, brands see higher match rates and larger addressable audiences, which translates to more substantial reach and better return on ad spend (ROAS). Enables better personalization Customers constantly switch devices, update their information, and change preferences. Experian makes it easier to keep pace with these changes through frequent data enrichment and near-real-time identity resolution via Activity Feed. Combined with our long-standing use of AI and machine learning, this approach ensures shifting behaviors are captured quickly, enabling timely personalization, and more responsive engagement. With less delay from data to action, the result is faster response times and higher conversion rates. Improves the customer experience Customers notice when brands deliver relevant ads and contextual content across every channel. Consistency matters! But consistency doesn’t just happen on its own; it comes from identity resolution, which keeps the customer journey connected. As brands maintain continuity, they build trust, strengthen engagement, and increase customer lifetime value. Drives better marketing ROI Not every profile is valuable. Identity resolution helps marketers identify the highest-value audiences and reduce wasted spend. That efficiency leads to lower CPA and a higher overall ROI across campaigns. The power of modeling from a stronger foundation When you have a unified customer view, your models are built on better data. That means you can find more people who look like your best customers, build more responsive audience segments, and target with greater accuracy. This foundation can lead to better spending, more relevant campaigns, and a higher ROI. Maintains privacy compliance With GLBA/FCRA-grade standards and consumer choice mechanisms like opt-outs and data correction, you can protect your brand while maintaining personalization — without compromising legal or ethical safeguards. What are some identity resolution use cases and examples? Every industry faces its own unique identity challenges, but identity resolution is the common thread that turns scattered data into connected experiences. Let’s break down how companies in different verticals are putting it to work (and the kinds of results they’re seeing). Retail and e-commerce Shoppers bounce between websites, carts, and checkout lines, leaving behind scattered signals in the process. In retail, identity resolution bridges the gap between online and in-store experiences by matching online carts with loyalty swipes or connecting connected TV (CTV) exposure to in-store sales. This means fewer silos, better targeting, and more personalized offers wherever people shop. Our 2025 Digital trends and predictions report calls out that omnichannel experiences aren’t optional anymore. With CTV and social dominating spend, brands need identity resolution to cut through silos and build a complete view of customer behavior. Read the full report Financial services In financial services, identity resolution makes it possible to deliver personalized, compliant offers like refinancing options for likely mortgage switchers or the right rewards card for frequent spenders. Our partnership with FMCG Direct to create Consumer Financial Insights® and Financial Personalities® segments helps banks, insurers, and lenders understand behaviors — such as credit card use, deposit balances, and investment habits — without exposing sensitive details. Read more below about how our financial audiences enable privacy-safe personalization. Explore privacy-safe financial audiences Travel and hospitality Travel decisions aren’t always planned out in advance. Many bookings happen spur-of-the-moment, which is why real-time identity resolution is so powerful; it keeps the journey seamless when travelers jump from phone to laptop to tablet and presents relevant offers right as decisions are being made. Windstar Cruises put this information into action with Experian’s identity graph to connect digital interactions with actual bookings, which drove 6,500+ reservations and $20 million in revenue. Get the $20 million Windstar Cruises playbook here Media and TV Viewers tend to hop around between linear TV, streaming apps, and social feeds. And without identity resolution, every screen looks like a different person. Marketers can accurately plan, activate, and measure campaigns by unifying viewing behaviors into one ID with Experian’s AI-powered identity graph. Optimum Media tackled its multiscreen challenge by partnering with Experian for identity solutions. Layering our audience insights and our AI-driven Digital Graph onto their subscriber data, they were able to connect the dots across channels, reach the right households, and measure results instead of just impressions. In the end, they finally got a clear view of what works across every screen. Learn how Optimum Media mastered multiscreen measurement Curious how identity resolution can power your customer analytics? We can walk you through it. Chat with an expert Healthcare and pharma Healthcare marketers can’t afford slip-ups with HIPAA regulations. Identity resolution makes it possible to engage the right patients and providers with de-identified audiences rather than third-party cookies. At Experian, AI and machine learning have always been part of how we power identity resolution. In healthcare, that means using AI-enhanced modeling to connect de-identified clinical and claims data with lifestyle insights. The result is a more comprehensive picture of the patient journey that helps close care gaps, reduce wasted spending, and improve outcomes. By working with partners like Komodo, PurpleLab, and Health Union, we make it possible to activate campaigns at scale that boost engagement and adherence while keeping patient privacy front and center: Komodo Health enriches our identity graph with insights from millions of de-identified patient journeys plus lifestyle data, giving brands a fuller view of where care gaps exist and how to close them. PurpleLab connects real-world clinical and claims data to Experian’s platform, letting advertisers activate HIPAA-compliant audiences across CTV, mobile, and social with the ability to measure real outcomes like prescription lift and provider engagement. Health Union contributes a data set built from 50 million+ patient IDs and 44 billion+ patient-reported data points. Combined with our identity and modeling capabilities, this expands match rates and unlocks up to 76% net-new reach, so campaigns reach patients and caregivers in critical health moments. As a result, healthcare brands can launch campaigns that are privacy-first, highly targeted, and proven to drive meaningful impact. Audio People use audio while commuting, working out, and even folding laundry. It can be one of the hardest channels to track because of how frequently listeners switch between apps, stations, and devices. Experian’s identity resolution partnerships with Audacy and DAX change the game: Audacy helps tie scattered listening into a single view, so advertisers can follow audiences across devices and keep ads relevant in the moment. DAX pairs Experian’s 2,400+ syndicated audiences with its audio network, enabling brands to target precisely and launch impactful campaigns at scale. These partnerships turn audio into an accurate channel where ads feel personal, privacy-safe, and measurable. Gaming Gamers don’t stick to one platform. Player data gets scattered across mobile, console, and PC, so it’s tough to keep track of individuals. Experian helps stitch those signals together so publishers can finally see the whole picture, personalize gameplay, and keep players coming back. With enriched profiles, publishers can deliver offers that resonate and unlock fresh revenue by packaging high-value gaming audiences for advertisers outside the industry. Unity, a leading gaming platform, is tapping into Experian’s syndicated audiences to gain player insights and help advertisers reach gamers across mobile, web, and CTV. For global publishers, unifying player data with Experian has driven higher engagement and stronger ad ROI. Discover how to unlock revenue with unified player data How should I evaluate identity resolution providers? When choosing an identity resolution partner, look for: Data scale and quality: The value of identity resolution depends on how complete and accurate the underlying data is. The right provider should bring together a wide range of identifiers from online and offline sources, maintaining high accuracy so your customer profiles are broad and reliable. Match accuracy and recency: The best partners also refresh their data regularly and can blend deterministic (exact, one-to-one matches) with probabilistic (pattern-based matches) methods. That way, you get the accuracy of “this email is definitely that customer” with the reach of “this device likely belongs to the same person.” Privacy and compliance readiness: Compliance can’t be an afterthought. Your identity partner should be ready for GLBA, FCRA, GDPR, CCPA, and the latest state-level rules with built-in tools for opt-outs, corrections, and deletions. Integration flexibility: A good provider fits into your world, not the other way around. Look for pre-built integrations with your customer data platform (CDP), demand-side platform (DSP), or marketing tech (MarTech) stack so you can get up and running without the heavy IT lift. Data analytics capabilities: You need proof that identity resolution drives ROI. Look for closed-loop measurement that ties unified IDs directly to campaign performance, so you can see what’s working and optimize with confidence. How Experian enables enterprise-grade identity resolution Experian delivers identity resolution at the scale, accuracy, and compliance required by the world’s largest enterprises. Our solutions are: Built on trust: Backed by 40+ years as a regulated data steward and rated #1 in data accuracy by Truthset, so you can act with confidence. Powered by our proprietary AI-enhanced identity graph: Combining breadth, accuracy, and recency across four billion identifiers, continuously refined by machine learning for maximum accuracy. Seamlessly connected: Pre-built data integration with leading CDPs, DSPs, and MarTech platforms for faster time to value. Always up to date: Frequent enrichment and near-real-time identity resolution through Activity Feed for timely personalization and more responsive customer engagement. Privacy-first by design: Compliance with GLBA, FCRA, and emerging state regulations baked in at every step, supported by rigorous partner vetting. The bottom line Identity resolution turns fragmented signals into connected, measurable, and compliant experiences. From retail to gaming, brands using it see stronger personalization, engagement, and ROI. With Experian, you get the data, trust, and responsible AI innovation to make identity resolution work across every channel. Our approach uses AI to connect identities, predict behaviors, and deliver personalization that balances privacy with performance. If you’re ready to turn fragmented data into growth, now’s the time to start. The world’s leading brands trust us to power identity resolution at scale. See how we can do the same for you. Identity resolution FAQs What’s the difference between deterministic and probabilistic matching? Deterministic uses exact identifiers (like an email) for accuracy, while probabilistic uses signals and algorithms to expand reach. Best-in-class providers usually combine both. How does identity resolution improve ROI? Identity resolution helps with personalization by unifying scattered signals into one profile. It reduces wasted spend and increases match rates, which means bigger addressable audiences and higher ROAS. Can identity resolution work without third-party cookies? Yes. With first-party data and hashed PII, brands can still maintain addressability and personalization. What industries benefit most from identity resolution? Retail, finance, travel, media, gaming, and audio all use identity resolution to personalize, attribute sales, and improve efficiency. How is Experian different from a CDP? A customer data platform unifies the data you already own. Meanwhile, we add depth, scale, and higher match rates by layering in our identity graph and data enrichment. Is Experian identity resolution privacy-compliant? Yes. Experian is GLBA/FCRA compliant, GDPR/CCPA ready, and supports consumer opt-outs and corrections to ensure responsible personalization. Latest posts

In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Allison Dewey (Director, Data & Curation) at 33Across. Navigating complexity in digital advertising Digital advertising is more fragmented and privacy-constrained than ever. How is 33Across helping marketers cut through that complexity to drive real outcomes, and what makes your approach distinct?  Reaching audiences without compromising scale or performance is one of the toughest challenges for marketers. Users consume content across multiple devices and channels, making it difficult for marketers to identify and accurately target them with the right message. 33Across segments leverage AI-powered contextual and behavioral signals across privacy-safe environments to help marketers accurately identify audiences, whether they’re streaming content on their connected TV or researching products on their mobile device. What sets us apart is that we don’t just identify valuable audiences; we help marketers also target cookieless inventory and power it with real-time signals. Marketplace integration milestones What excites you most about bringing 33Across audiences into Experian’s data marketplace? We’re excited to bring 33Across audiences into Experian’s data marketplace because it connects our unique segments with a powerful data ecosystem that marketers already trust. Buyers looking to activate audiences that are both privacy-safe and performant continue to tap into the Experian data marketplace for high-quality, high-performing data. We offer a wide range of audience verticals, including B2B, demographic, retail purchase data, interest and intent, and political data. In addition, we offer the ability to create custom segments across verticals.  Our intent-based audiences, built from contextual and engagement signals, help buyers reach consumers on CTV, desktop, or mobile devices with scale.  Being part of Experian’s data marketplace accelerates access to these audiences, drives better ROI, and helps brands future-proof their strategies today. Retail demand signals Retail brands are racing toward privacy-safe, first-party data. Which 33Across retail datasets or segments are experiencing the highest demand, and what makes them a must-have?  Retail marketers are leaning into contextual and behavioral intent signals to complement their first-party data strategies. At 33Across, we’re seeing high demand for segments tied to shopping intent, including in-market consumers browsing for categories like fashion, home goods, electronics, and health & wellness. What makes these segments essential is their real-time nature - they can capture consumer interest as it happens. For retail brands looking to expand their reach while respecting privacy, our segments offer scalable, actionable intent that drives results. B2B without cookies Reaching real B2B decision-makers at scale is tough with or without signals. How does 33Across deliver both precision and reach in this environment?  B2B marketing often struggles with balancing scale and specificity. 33Across addresses this by combining contextual precision with AI-modeled behavioral signals; this segment approach reaches professionals actively engaging with relevant content and topics, even in environments where IDs are unavailable. Marketers gain access to more signals and, in turn, better reach from 33Across’ unique publisher integrations and audience curation built from machine learning and AI. We surface intent through content consumption patterns and contextual engagement, unlocking valuable, privacy-safe signals at scale. Allowing B2B marketers to reach real decision-makers in a signal-sparse world.  Use cases With retail, B2B, and beyond, can you share an example of how brands in these verticals are utilizing your audiences? Top brands that have a user-focused approach use 33Across audiences to drive scale; performance. These brands enable our segments to precisely reach the right users across devices and increase conversion rates; brand awareness. By reaching the right users, brands have higher conversion rates and increase campaign efficiency. Supply path innovation As identifiers disappear, advertisers are looking for scalable, privacy-safe ways to reach real people. How is 33Across helping unlock more addressable inventory and drive performance? By combining contextual, semantic, and engagement-based signals, we deliver intent-based targeting that performs across CTV, display and video. Higher addressability helps marketers not only extend their reach but also deliver personalized messaging across digital channels in a privacy-compliant way.  Contact us FAQs How can advertisers reach audiences without traditional identifiers?  By using contextual and engagement-based signals, advertisers can target consumers across CTV, mobile, and desktop in a privacy compliant way, even as identifiers become less available.  What audience segments are most in demand for retail marketers?  Segments tied to shopping intent, such as consumers browsing fashion, electronics, or health products, are highly sought after because they capture real time interest and drive results.  How can B2B marketers find decision-makers without cookies?  Combining content engagement patterns with machine learning allows marketers to reach professionals actively engaging with relevant topics, even in environments where IDs are unavailable.  What makes privacy safe audience targeting effective?  Privacy safe targeting uses real time contextual and behavioral signals to deliver relevant messaging across devices and channels without compromising consumer trust.  How can real-time intent signals drive demand?  Real time intent signals allow advertisers to capture consumer interest as it happens, helping demand side platforms and brands deliver timely, relevant ads that increase engagement and drive conversions across devices like CTV, mobile, and desktop.  About our expert Allison Dewey, Director of Data and Curation, 33Across Allison Dewey is the Director of Data & Curation at 33Across, where she oversees data partnerships, integrations, and supply-side curation. With a deep expertise in audience targeting and signal optimization, Allison plays a key role in connecting data into the programmatic world. Allison holds a Bachelor's degree in Psychology from Bates College. About 33Across Rooted in over 15 years of data expertise, 33Across harnesses signals to enrich and expand marketers’ audiences and reach them wherever they consume content. Built from over 300 billion proprietary data signals, we apply machine learning and AI to create over 1,500 B2C and B2B segments using privacy-first principles to reach audiences.   Latest posts

Originally appeared in Adweek  This holiday advertising season, identity is the real differentiator Marketers are betting big on AI to run their holiday advertising, using it to build predictive audiences, generate creative at scale, and optimize media buys in real time. The draw is clear: greater efficiency, delivered at scale.  But here’s the problem: without a solid identity foundation, AI is just guessing. And in a year when consumers are cautious and competition is fierce, guesses won’t deliver the outcomes you need. Experian’s 2025 Holiday spending trends and insights report shows that success this season will depend on connecting the right data to the right audiences in real time. Download the report now Are shoppers really using AI to make holiday purchases?  Not yet. Only 12% of consumers plan to use AI tools to shop this season, mostly for finding discounts. Instead, trusted influences (like retailer websites, product reviews, and recommendations) still guide buying decisions.  For marketers, that’s a signal to focus on credibility and connection. AI can support your holiday advertising strategy, but trust still wins the sale. Consumer sentiment heading into the holidays is low, but that could mislead marketers Here's why How marketers are really using AI in holiday advertising  Behind the scenes, AI is working overtime. Teams use it to segment audiences, test creative, and optimize media in real time. These capabilities are powerful, but only if they’re grounded in accurate, persistent data.  Think about the typical holiday shopper. They may browse a product online, validate it in store, and finally purchase days later from a different device than they used while browsing. If AI isn’t anchored in identity, it struggles to connect those touchpoints. Instead of amplifying relevance, it amplifies noise. See our predictions for Black Friday 2025 Why identity is the GPS for AI-driven holiday advertising  Identity is what turns AI from a blunt instrument into an accurate tool. By unifying fragmented signals across channels and devices, identity provides the consistent consumer view that AI needs to be effective.  With that foundation, AI can do more than churn out models. Instead, it can: Identify the right audiences and filter out waste  Personalize with context, not just scale Measure real outcomes, linking exposures to visits and purchases Identity doesn’t just improve efficiency; it creates accountability. And in a season where every holiday advertising campaign dollar is scrutinized, accountability is the difference between investment and waste. Why connected data will make or break Cyber Week How to turn complexity into clarity this holiday season  This year's holiday advertising season is complicated. Marketers are confident, consumers are cautious, and AI is somewhere in the middle. The challenge isn’t just speed or volume, it’s accuracy.  By pairing AI with identity, you can adapt to real behavior instead of assumptions. You can build campaigns that are consistent across connected TV, retail media, and social platforms. And you can prove results when it matters most.  AI isn’t a holiday miracle. But when it’s powered by identity, it can give you clarity in a noisy season and proof of performance when budgets are under scrutiny. Explore Experian's holiday audiences to activate this season What’s the real takeaway for marketers this season?  Don’t assume AI alone will save your holiday advertising strategy. It won’t. Consumers still trust human voices more than machines, and your AI models are only as strong as the data beneath them. Identity is the difference between guesswork and accuracy, between activity and impact.  This holiday season, the winners won’t be the brands that simply spend more or automate faster. They’ll be the ones that put identity at the core of their AI strategy and meet consumers where they really are.  Download Experian’s 2025 Holiday spending trends and insights report to see where consumers are spending and how identity can help your holiday advertising campaigns more effective. Download now FAQs Why isn’t AI enough on its own for holiday advertising? AI works best when it’s grounded in accurate data. Without identity, it can’t connect actions across devices or channels, which limits its effectiveness. How does identity improve AI-driven campaigns? Identity creates a single, persistent view of your audience. That means AI can personalize content, measure conversions, and cut waste with far greater accuracy. What does “identity” mean in marketing terms? It’s the data layer that connects people across their devices, browsers, and behaviors—so your campaigns reach real individuals. How can marketers prove ROI in holiday advertising? By tying exposure to verified outcomes—like store visits or purchases—using identity-linked data. That’s how Experian helps brands move from impressions to impact. Latest posts

What challenge did the pet brand face? A national e-commerce pet supplier wanted to expand into audio advertising to diversify beyond display campaigns. But with only one team member available to test this new channel, they faced three hurdles: Prove performance in a new channel  Run lean with limited bandwidth  Show purchase intent, engaged site visits, and completion rates fast  They needed a partner to handle execution and supply optimization so their lean team could focus on strategy and selling audio internally.  Hear how we're working with Audacy to help our clients connect beyond the screen Tune in here The solution: How did Experian Curated Deals help? Audigent, a part of Experian, ran point on setup, optimization, and real-time reporting. The brand turned to Experian Curated Deals. Together we: Streamlined access to curated inventory, cutting intermediaries and boosting efficiency Handled campaign setup and supply-side optimization Delivered real-time demand-side platform (DSP) reporting for agile targeting refinements Provided an extension of their in-house team, giving them bandwidth to focus on pitching audio internally “What stood out about Experian was their real-time control and the depth of their trading team. I knew I could hand them a campaign, and they’d run with it.”Programmatic Media Lead, National e-commerce pet supplier Want to see the full case study? Download it here What results did the campaign deliver?  In just a few months, audio transformed from a small test into a top-performing channel:  Exceeded KPIs by 63%  Increased purchase intent and engagement vs. competing platforms  Matched display performance without creative refreshes or incentive overlays  Earned budget increases, positioning audio as a long-term investment  Reduced internal setup time, freeing the team for strategic projects  “Experian became more than just a media partner: they filled critical gaps that would typically require outsized investment in internal resourcing.”CMO, National e-commerce pet supplier Explore more examples of how brands are driving performance with Experian Windstar Cruises Leading athletic retailer Swiss Sense Why does this matter for marketers?  For marketers, audio isn’t experimental anymore. It’s a proven channel that can drive both engagement and conversions.  This case study shows how brands can:  Use Experian Curated Deals to validate new channels with minimal risk.  Lean on Experian to handle execution, freeing teams to focus on growth.  Drive meaningful engagement and purchase intent, not just impressions.  For marketers navigating limited resources and pressure to prove ROI fast, Experian Curated Deals provides both performance and confidence. Want to beat your campaign goals by double digits? Contact us today FAQs What is Experian Curated Deals? Experian Curated Deals streamline access to premium media inventory by eliminating unnecessary intermediaries, optimizing efficiency, and ensuring campaigns perform against KPIs. Why use curated deals for audio advertising? Curated deals help brands test and validate audio quickly, without the heavy lift of manual setup and supply path management. Can audio really drive conversions? Yes. In this case, audio campaigns not only exceeded awareness and engagement goals but also matched the conversion performance traditionally associated with display. How does Experian support lean teams? By managing setup, supply optimization, and reporting, Experian acts as an extension of your team, reducing internal workload while driving performance. Latest posts

In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Paul Zovighian, VP of Marketplaces at Index Exchange.  Sell-side activation vs. buy-side packaging What’s fundamentally changed with sell-side decisioning, and how does it now diverge from traditional buy-side packaging? Sell-side decisioning is programmatic’s next major evolution - one that redefines how intelligence enters the transaction. Advances in infrastructure and computing power now allow supply-side platforms(SSPs) to act in the crucial pre-bid moment, enriching impressions with context, quality, and data before they reach the buy side. This isn’t just about efficiency; it’s about unlocking new value. Smarter requests mean buyers see only the most relevant opportunities, while publishers gain recognition for the true worth of their audiences and environments. We’re still at the beginning of this shift. Many players still package inventory without engaging in real pre-bid intelligence. As the market matures, the companies that evolve toward sell-side decisioning will be the ones to set the pace for programmatic’s future. Economic shifts with scaled curation As curation scales, what economic levers shift for both publishers and buyers, and how do those shifts influence deal structure and media planning? As curation scales, one of the most powerful levers is data. It’s the industry’s most valuable asset, and on Index it keeps its full worth. We don’t take a platform cut or add hidden fees, so data partners benefit from the clearest, most efficient economics in the market. Data vendors gain confidence that their economics aren’t eroded by a platform tax. For publishers, this means stronger yield and more ad spend flowing directly into working media. When data retains its full value, it enhances how impressions are packaged, priced, and differentiated—driving more competition for quality inventory and more opportunities for revenue.   For buyers, it means compressed supply paths and total transparency - they know exactly what they’re paying for. With no intermediaries and full transparency into economics, buyers gain a clearer view of where their budgets go and the confidence that their investments reach real audiences in trusted environments. They benefit from cleaner supply chains, better performance, and more meaningful alignment between spend and outcome. The result is a healthier marketplace where both sides benefit from efficiency, fairness, and scale. Moving decisions upstream for value What decisions historically made in DSPs should now move upstream to publishers or SSPs to unlock more value, and which should remain buy-side? Decisioning is no longer confined to demand-side platforms(DSPs). We can enrich impressions by applying intelligence — via data, algorithms, creative technology, and more, before they even reach the buy side — adding context, filtering out low-quality supply, and expanding audience discovery. This isn’t about shifting roles; DSPs remain critical for campaign strategy, optimization, and budget allocation. The sell side simply ensures every bid request is smarter from the start, creating more value for all parties. In doing so, we also alleviate pressure on DSPs — enabling more comprehensive data discovery by searching for signals at the top of the funnel, prior to optimization. That means DSPs can focus on what they do best, supported by a cleaner, more transparent supply path. Index Marketplaces use cases explained Index Marketplaces is designed to enable the strength of our partners, and Experian brings one of the broadest sets of demographic and audience insights in the industry. That scale enables a wide variety of applications, from more precise audience activation to deeper measurement and analytics. What’s different on the sell side is how those insights are applied. By activating Experian’s syndicated audiences directly at the point of decision, their value is realized in real time and across the full scale of the open internet. Buyers gain a clearer path to relevant audiences, and publishers benefit from stronger alignment between data and media. It’s an approach that ensures partners like Experian can maximize the impact of their assets while helping the market move toward more intelligent, performance-driven activation. Identity signals with stronger privacy For identity partners like Experian, what’s the right way to bring audience, context, and propensity signals into sell-side activation?  The beauty of sell-side decisioning is that it reduces the hops in how identity signals are applied. Without it, IDs have to travel through multiple platforms, creating extra handoffs and additional risks of data loss or leakage. With sell-side decisioning, those signals are obfuscated under a deal ID and applied directly at the point of decision. That means audience, context, and propensity data are activated securely, without ever leaving the sell-side environment. For partners like Experian, it’s the cleanest path to value: fewer hops, stronger privacy protection, and clearer economics for everyone in the chain. Contact us FAQs What is sell-side decisioning, and why is it important? Sell-side decisioning allows publishers to add intelligence, like audience data and context, before ad impressions are sent to buyers. This makes the process more efficient and ensures advertisers see only the most relevant opportunities.  How does sell-side decisioning differ from traditional buy-side packaging?  Traditional buy-side packaging happens after impressions are sent to demand-side platforms (DSPs). Sell-side decisioning moves some of that intelligence upstream, enriching impressions earlier and reducing inefficiencies.  What does "curation" mean in this context, and how does it benefit publishers and advertisers? Curation refers to the process of organizing and enriching ad inventory with data and context. For publishers, it leads to better yield and more ad spend going directly to their media. For advertisers, it means clearer, more transparent supply paths.  How does sell-side decisioning improve privacy?  By applying audience and identity signals directly on the sell side, data stays within a secure environment. This reduces the number of platforms handling sensitive information, lowering the risk of data loss or leakage.  What role does Experian play in sell-side decisioning?  Experian provides demographic and audience insights that are activated directly at the point of decision. This helps advertisers reach the right audiences more effectively while ensuring publishers can maximize the value of their inventory.  Why is moving decisioning upstream beneficial for DSPs? When publishers and SSPs handle some decisioning earlier, DSPs can focus on campaign strategy and optimization. This creates a cleaner, more efficient process for everyone involved.  What is a deal ID, and how does it enhance privacy?  A deal ID is a unique identifier used in programmatic advertising to bundle audience and context signals securely. It ensures data is applied without being exposed or shared across multiple platforms.  About our expert Paul Zovighian, VP of Marketplaces, Index Exchange Paul Zovighian carries over a decade of industry expertise, stemming from his analytics and optimization roots to his current post as VP, Marketplaces, where he is focused on the commercial activation of Index’s newest product, Index Marketplaces. Previously, in his role as VP of corporate development, Paul led Index’s first-ever business acquisition. In his spare time, he enjoys long walks on the beach and befriending cats in NYC’s thriving bodega community. About Index Exchange Index Exchange is a global advertising supply-side platform enabling media owners to maximize the value of their content on any screen. They’re a proud industry pioneer with over 20 years of experience connecting leading experience makers with the world’s largest brands to ensure a quality experience for consumers.  Latest posts

As artificial intelligence (AI), connected TV (CTV), and data collaboration continue to advance, advertisers are discovering new ways to meet audiences where they are; on their terms and in their spaces. These innovations are creating opportunities to deliver more personalized, impactful campaigns that were unimaginable just a few years ago. At Cannes Lions 2025, we sat down with industry leaders from Butler Till, Comcast Advertising, Index Exchange, IQVIA Digital, Optable, PMG, Samsung Ads, and Sports Innovation Lab. From reimagining the living room experience to using AI in practice for better outcomes, here’s what we learned about the trends driving advertising forward. 1. CTV turns living rooms into active spaces CTV has turned the living room into a hub of interaction, discovery, and commerce. Younger audiences are using their TVs like mobile devices; streaming, learning, and even controlling their homes. This shift is creating new opportunities for advertisers to deliver relevant, personalized experiences where audiences are already engaged. With premium content and interactive tools, the living room is no longer just a passive space, it’s where attention meets action, and where brands can connect with audiences in meaningful ways. How Experian helps With Experian, advertisers can connect first-party data with CTV IDs, ensuring accurate and measurable targeting while maintaining a privacy-first approach. That means brands reach viewers with messages that feel personal, without losing trust. “We surveyed 1,000 smart TV owners and found that younger audiences are using their TVs like mobile devices. Two-thirds use them for social media, 40% for self-improvement like Coursera or TED Talks, and 25% for interactivity; controlling appliances or home temperatures. Interactivity with connected TVs is skyrocketing.”Justin Evans 2. Creators build stronger connections with audiences Creators are no longer limited to social media; they are now a driving force in CTV. Creator led programming is capturing attention and driving post view actions, offering advertisers a unique way to connect with passionate, engaged audiences. By thinking of creators as “micro networks” with built in communities, advertisers can meet fans where they already gather and deliver authentic, impactful messages that resonate. How Experian helps Experian helps advertisers tap into the creator economy by identifying topical audiences that align with influencer niches—like food, travel, gaming and entertainment—and activating them across the open web. Through Audigent’s integration with DV360, brands can pair Experian's expansive audience targeting capabilities with Audigent's Curated Deals to reach engaged viewers in creator-led environments. This approach ensures ads appear where audiences are most receptive, enhancing relevance and performance. “The creator economy is moving into TV. It’s incredible to see social influencers, once dominant on platforms, now creating high quality content for streaming, networks, and more.”Gina Whelehan 3. Data collaboration that drives better results Advertisers rely on data to reach the right audiences, but privacy concerns are reshaping how it’s collected, shared, and used. Data collaboration enables brands to combine multiple data sets (like first-party data and syndicated audiences) to improve planning, activation, and measurement. While privacy remains a priority, the focus is on creating actionable insights that drive better results and build trust with consumers. By focusing on consented, privacy safe identity solutions, advertisers can achieve better outcomes while respecting consumer privacy; a win-win for brands and audiences alike.  How Experian helps Experian’s privacy-first approach ensures that all data activation occurs with compliance and consent. By maintaining high match rates, offering flexible collaboration options (including clean rooms, first-party data onboarding, and syndicated audiences) and adhering to transparent methodologies, Experian facilitates seamless collaboration between brands, publishers, and platforms. This helps build trust and strengthen long-term connections with audiences.  “The area we’re most excited about is identity resolution on the publisher side. Publishers can reinsert signal and create better results for advertisers. This wasn’t always well-articulated, but today we have case studies proving publishers can help improve outcomes.” Vlad Stesin 4. Optimizing supply paths for better outcomes Supply path optimization (SPO) helps advertisers improve campaign efficiency by increasing viewability and reducing waste. Supply-side decisioning builds on this by identifying the audiences advertisers want to reach, the content those audiences consume, and the publishers with the most relevant inventory. Together, these strategies create a more intelligent and efficient ecosystem, ensuring ads are delivered in the right context, to the right people, on the right platforms.  How Experian helps Experian’s data solutions, including both Experian’s and Audigent’s contextual and identity capabilities, are available across sell-side (SSPs) and buy-side (DSPs) platforms, enabling smarter decision-making throughout the media supply chain. Audigent’s direct integrations with publishers provide an unfiltered view into available inventory, offering deeper insights that inform campaign optimization. These insights can be activated in real time and transacted within advertisers’ existing buying platforms.  By powering real-time intelligence across the ecosystem, from advertisers to DSPs, SSPs, and publishers, Experian and Audigent help drive better outcomes, more efficient media spend, and greater value for all participants.  “Sell-side decisioning activates the intelligence of the exchange, along with partners like Experian, to optimize auctions in real time. This helps pre-decision buys that flow to the DSPs, making the buying process smarter, more efficient, and ultimately driving better value for marketers and publishers.” Mike McNeeley 5. AI that streamlines agency workflows AI is a practical tool that agencies are using to streamline workflows and deliver better results. From planning and pacing to creative iteration, AI is helping teams move faster and smarter. In fact, 67% of global marketing and communications professionals now use AI for content creation frequently or all the time, underscoring its role in modern workflows. The key is to think of AI as a navigator, not a replacement. It handles repetitive tasks, freeing up teams to focus on strategy and creativity, while enabling faster tests, fewer dead ends, and better client clarity.  How Experian helps Experian uses AI and machine learning to deliver highly personalized marketing solutions. In our Digital Graph, advanced clustering algorithms analyze household and individual device connections, improving targeting and measurement accuracy. We also use AI powered audience recommendations to create tailored audience solutions for clients. Our contextual data models, powered by Audigent’s contextual engine, further improve this process by analyzing bidstream traffic in real time, ensuring audiences are aligned with the most relevant inventory.  “We’ve extended our platform with Marketplace, which lets us integrate third-party partners, new tech, and data seamlessly into activation. Clients are asking for this level of innovation, especially with the speed at which AI is evolving and transforming what’s possible in marketing.”Sam Bloom Connecting the dots: Data, creativity, and outcomes The common thread across these insights is how we connect with audiences, collaborate on data, and create meaningful outcomes. By reimagining the living room experience and utilizing AI and creator-led programming, brands are embracing innovation. How Experian helps Experian helps you build privacy-first identity foundations, collaborate seamlessly, optimize supply paths, streamline with AI, and connect through creators.  Let's start a conversation FAQs What is CTV, and why does it matter now?  CTV brings premium, interactive streaming to the largest screen at home, allowing brands to reach engaged viewers with measurable, personalized experiences.  What is data collaboration, and how does it stay privacy-first?  It’s the consented, secure use of first-party and partner data (often via clean rooms) to improve planning, activation, and measurement without exposing raw consumer data.  What do “SPO” and sell-side decisioning actually do?  SPO streamlines the path from advertiser to publisher, reducing waste and improving quality. Sell-side decisioning adds real-time intelligence to the exchange, delivering the proper context and audience more efficiently.  How are creators changing TV advertising?  Creator-led programming functions like “micro networks” with built-in communities, helping brands show up where fans are already engaged and ready to act.  How are living rooms becoming “active spaces”?  Viewers use TVs like mobile devices, discovering content, learning, shopping, and interacting; advertisers can meet their intent and drive post-view actions.  Latest posts

Demand-side platforms (DSPs) are more than just technology providers, they’re strategic partners, helping marketers answer the key question: “How should I spend my media budget?” A leading DSP struggled to attribute consumer actions across digital channels such as connected TV (CTV) and display. Without connecting impressions to conversions, they risked losing client trust and ROI proof. With Experian’s Digital Graph, they resolved 84% of IDs and increased match rates, strengthening attribution and client confidence. The challenge A leading DSP had trouble showing which ads drove results across CTV, display, and digital. Without linking ad views to conversions, they couldn’t prove ROI.  The missing piece was attribution. They needed to show which channels drove conversions, but without strong identity resolution, it was hard to connect CTV ads to website activity. See how Experian is shaping addressability in CTV What is Experian's Digital Graph? Built from trillions of real-time data points and updated weekly, Experian’s Digital Graph connects billions of identifiers across devices and households, such as cookies, mobile ad IDs (MAIDs), CTV IDs, IP addresses, universal IDs, and more. It gives DSPs a reliable foundation by linking these identifiers back to households and individuals, improving DSPs' ability to offer attribution by better connecting impressions to conversions. Learn more about our Digital Graph here What makes the Digital Graph unique is its scale and freshness. It ingests trillions of signals in real time and delivers updates weekly. That consistency matters: it gives DSPs confidence that they’re working with the most accurate view of digital identity. AI and machine learning (ML) are core to how we maintain that level of accuracy. Our models use sophisticated clustering algorithms to analyze device connections at both household and individual levels. By evaluating data points such as timestamps, IP addresses, user agents, cookie IDs, and device identifiers, these algorithms create precise device groupings that enhance targeting and measurement accuracy. The models are continuously refined, ensuring our clients can better understand consumer behaviors within households and activate more effective, personalized marketing. Think of it like connecting puzzle pieces scattered across devices and channels. On their own, each piece doesn’t say much. Together, they reveal the full picture of who saw an ad, engaged, and converted, and which ads performed best. Watch the video The solution By syncing its cookies with the Digital Graph, the DSP gained access to related identifiers, including:  MAIDs  CTV IDs  IP addresses  Experian cookies  This expanded identity universe gave the DSP a unified view of individuals and households, making it possible to connect impressions to conversions across devices and channels. With each weekly refresh, attribution models stayed accurate and up to date, turning fragmented signals into proof of performance.  Results Within weeks, the DSP saw measurable improvements: 84% of IDs synced 9% increase in match rates With a stronger foundation of digital identifiers, the DSP matched more MAIDs, CTV IDs, and IP addresses to conversions. This allowed them to show clients exactly which ads and channels drove ROI, transforming impression reports into actionable proof of performance and strengthening client trust. See how MiQ strengthened their Identity Spine with Experian's Digital Graph Why attribution matters now Attribution has never been more critical. With signals fading and marketing budgets under pressure, DSPs need reliable data to prove performance. Experian’s Digital Graph takes a multi-ID, always-on approach, refreshed weekly with trillions of signals. This delivers consistency and accuracy that single-point, stale-ID solutions can’t match. For this DSP, that meant transforming attribution from guesswork into clear proof, strengthening client trust, and proving ROI across channels. Download the full case study Connect with us today to see how our Digital Graph can help you maximize advertiser trust and ROI. Ready to strengthen your approach to attribution? FAQs What is Experian’s Digital Graph? Experian’s Digital Graph is a privacy-conscious identity resolution solution built from trillions of real-time data points, refreshed weekly, that links identifiers like cookies, MAIDs, CTV IDs, Unified I.D. 2.0 (UID2), ID5 IDs and IP addresses to households and individuals. How does Experian’s Digital Graph improve attribution? Experian’s Digital Graph improves attribution by connecting impressions to conversions across devices and channels, giving DSPs a clearer view of which ads and channels drove results. What makes Experian’s Digital Graph different from other solutions?  While many platforms rely on single, static IDs, Experian’s Digital Graph uses a multi-ID, always-on approach with weekly refreshed, ensuring accuracy even as signals shift. What results can DSPs expect when using Experian’s Digital Graph?  When you use Experian’s Digital Graph, you can expect higher match rates, more synced IDs, clearer attribution models, and stronger proof of ROI for your clients. Because Experian’s Digital Graph serves as the backbone of the industry, it also helps DSPs maximize the scale and reach they can deliver to advertisers. Is Experian’s Digital Graph privacy-compliant? Yes. Experian’s Digital Graph is designed with privacy in mind, ensuring compliance while still delivering accurate attribution insights. Latest posts