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Political advertising has advanced significantly in recent decades. Historically, campaigns had limited options for where they could advertise, and those channels had limited inventory. Political campaigns primarily relied on radio, print, and linear TV to reach voters, using mass marketing strategies to appeal broadly to unspecified audiences. These mediums had limited targeting capabilities and provided few data insights. However, this has all changed thanks to the rise of technology and changing media consumption habits.
With the advent of the internet and the emergence of various digital channels, political campaigns now have more inventory and options for getting their message out there, including connected TV (CTV) —a subset of advanced TV that has become a predominant channel for digital ad spend. CTV is the fastest-growing medium for political ads, with the upcoming 2024 election expected to see $1.5 billion in CTV marketing ad spend (nearly half of all political digital advertising dollars!). CTV’s share of political ad spending is set to jump from 2.7% in 2020 to 12.8% this year. The Harris campaign is leading the charge, allocating $200 million for digital ads, much of which will go to streaming platforms.
CTV advertising promises to be an effective method for political campaigns trying to reach voters with personalized content in 2024. Let’s look at CTV political ads a little closer and overview the implications for your political campaign.
The growth of CTV in political advertising
CTV has become central to political ad strategies in helping campaigns gain exposure through targeted, personalized ad experiences to specific audience segments based on demographics, behaviors, and interests. With CTV advertising, political campaigns have become more adaptable to changing viewer preferences and can ensure their messages resonate with diverse audiences across digital platforms. This strategy represents a critical opportunity for political campaigns to tap into the growing viewership of streaming and adjust their marketing plans to meet voters where they spend their time.
Although traditional broadcast TV remains at the forefront of political advertising, recent increases in CTV political ad spending in 2024 reflect shifting media consumption preferences toward streaming services. Today, the average American adult spends almost 2 hours per day on CTV devices. It’s worth noting that CTV has the most significant audience share with Millennials, which makes CTV an especially worthy investment for targeting the younger generations whose voting habits aren’t as established yet.
2024 political ad spending
Compared to the previous U.S. presidential election year in 2020, campaigns and interest groups are expected to increase their political ad spending promoting causes and candidates by almost a third in 2024, totaling approximately $12.32 billion, according to Reuters. This is said to encompass all advertising for federal, state, and local politics, including lobbying and election activities.
While traditional media still dominates political ad spending, digital platforms are growing, with 45% of digital ad spending projected to be allocated to CTV for its refined targeting capabilities and increased inventory in this election cycle. For reference, only 19% of digital political ad spend went to CTV in 2020.
While the presidential election tends to garner the most attention among voters, it’s essential to note that political ad spending goes well beyond the big race; over 500 seats are up for election in 2024. Down-ballot races and issues in state and local elections will significantly impact where ad dollars are allocated.
Experian’s relevant ballot initiative audiences
If you’re looking to reach voters based on their attitudes and behaviors around crucial ballot measures, Experian offers over 240 politically relevant audiences that can help. Our consumer behavior and interest audiences can fine-tune your targeting for local and national ballot initiatives if, for example, you were targeting military families who favor initiatives supporting veterans or households with children interested in supporting school funding. This precise targeting ensures your political ads reach the most receptive audiences and maximizes the impact of your ad spend.
Third-party cookie deprecation and CTV
The phase-out of third-party cookies has created a challenge for political campaigns relying on digital advertising strategies. In the past, political advertisers have used cookies to track a user’s web activity to understand their browsing behaviors across sites and create detailed profiles for targeting purposes. However, due to recent changes in online privacy regulations, third-party cookies are going away.
Political advertisers have recognized the need for innovation and are exploring new avenues for effectively reaching target audiences without third-party cookies. CTV has arisen as a promising solution, as it doesn’t rely on these cookies to paint a picture of audiences and offers an alternative for precise, privacy-compliant targeting and ad spend optimization. CTV publishers tend to know quite a bit about audiences, including their viewing habits, location, preferred CTV devices, and more —and utilizing this information can give your campaign deeper, more accurate data without invading user privacy.
Benefits of CTV over traditional TV advertising for political campaigns
CTV political ads are a great way to familiarize a candidate’s core audiences with their message and engage them with the campaign. Here are some specific ways a political campaign can benefit from CTV in its advertising strategies.
Broadened access to data
Traditional broadcast and cable TV are a means of one-way communication. This means viewers consume broadcasted content without direct interaction or a feedback loop for tracking engagement and behavior data.
CTV solves the limitations of traditional TV by offering access to more data than linear TV using technology and internet connectivity to gather real-time insights. CTV data on audience interactions, preferences, demographics, behaviors, location, income, and more enable precise targeting and tailored messaging for more impactful campaigns. Furthermore, digital infrastructure enables CTV devices to track clicks, ad impressions, and conversions, which marketers can use to understand interests, viewing habits, and audience demographics more effectively. To sum it up, CTV broadens the scope of data available for political campaigns to refine their targeting.
Targeted, personalized ad experiences
With traditional TV advertising, marketers have historically had to rely on mass marketing strategies, broadcasting ads to a general audience and hoping to reach the right demographic segments. This imprecise approach limits a marketer’s control over who sees their ads and wastes time and money.
In contrast, CTV platforms can collect abundant data on viewer behavior, preferences, and demographics, helping advertisers precisely target audiences and reach groups most likely to benefit from the ads. With CTV, advertisers can segment audiences based on gender, age, interests, location, and past viewing behavior. This level of granularity enables them to customize their messages to resonate with specific people and increase the relevance and effectiveness of their political ad campaigns. By delivering ads to the right groups of people at the right time, CTV helps advertisers maximize campaign impact and drive better results.
It’s worth noting that streaming viewership is beginning to change. Although younger generations have engaged the most with CTV, there is research to show that older generations are starting to help fuel its continued growth. Gen X and Baby Boomers have begun to embrace streaming and seek out ad-supported services to ad-free alternatives. These gradual shifts in behavior highlight the importance of understanding streaming generations to reach target audiences effectively.
Real-time ad campaign optimization
While traditional TV relies on fixed ad placements, CTV offers programmatic buying, which refers to buying and selling ad placements on CTV through automated technology. Programmatic CTV advertising is highly data-driven, which gives advertisers flexibility in their messaging strategies, helps them refine their targeting, and deliver relevant ads to the right people at the right time. With real-time analytics, campaigns can monitor ad performance, adapt to changing circumstances, and make data-driven decisions to maximize advertising impact and budget efficiency leading up to the election.
Challenges and considerations for advertisers
Despite how widely beneficial CTV advertising can be for political campaigns, marketers also need to be aware of its limitations.
Navigating ad fraud
Ad fraud is a major problem for unsuspecting advertisers. CTV ad fraud involves fake CTV devices or bots mimicking viewership and cheating marketers into paying for unviewed or non-existent ad placements. According to DoubleVerify’s Global Insights, CTV bot fraud increased nearly 70% in 2022 compared to the previous year, with CTV fraud instances tripling since 2020. In 2023, digital ad fraud cost the marketing industry $84 billion. These ad fraud schemes are rising due to the high CPM of CTV ads, leading to a bigger payout for fraudsters who steal ad dollars.
One of the primary challenges is the need for better technological safeguards to detect and mitigate illegitimate traffic, such as bot activity. Political advertisers often rely on third-party ad fraud and verification technologies to avoid falling victim, but these solutions cannot guarantee complete protection. This usually leaves advertisers unaware of fraudulent activities until they’ve already incurred financial losses.
As political campaigns increasingly embrace CTV political ads, they become bigger targets for fraud and must make protection and measurement central to validating their campaign efficacy in conjunction with robust fraud detection measures. These efforts can help protect the integrity of political ad campaigns, mitigate fraud, and ensure messaging reaches genuine voters.
Ensuring ad effectiveness
Measurement and attribution of CTV political ads can be challenging. CTV offers better insights into audience preferences and behavior than linear TV, but despite the existing measurement tools, CTV is fragmented, involves many platforms, and lacks standardized metrics and attribution models tailored to political campaign goals. These problems make it hard to compare campaign performance, track CTV users across their viewing experience, and ensure ads appear in the right environments.
To fully understand your ad effectiveness, you should ensure accurate tracking mechanisms of audience behaviors with individual ads to assess the impact of CTV campaigns on voter engagement and turnout. This will help you better understand how to achieve campaign objectives, where to focus your efforts, and how to appeal to viewers in future campaigns.
It may also be helpful to understand some of the metrics advertisers currently employ for CTV measurement, including completion rate and return on ad spend (ROAS). Because CTV ads often can’t be skipped, this advertising strategy has a high completion rate, sometimes nearing 90%. ROAS is more focused on what you get in return for your ads, allowing you to track profits per dollar spent on ads. Political marketers can also use metrics like campaign impressions, total reach, view-through rate, and cost per completed view to understand how their ads are performing.
Ethical considerations related to transparency and misinformation
Political advertisers are responsible for upholding transparency and accuracy in their messaging to build trust with voters. Given how polarized the current political climate is, misinformation could make or break a political campaign. Whether intentional or unintentional, spreading misinformation through CTV can undermine the democratic process and erode public confidence in political institutions. Political marketers must do their best to prioritize ethical conduct, adhere to regulatory guidelines, and ensure their ads convey truthful information to voters.
Looking ahead: CTV in the 2024 elections
The current election cycle promises record-breaking political ad spending in 2024 and will underscore CTV’s role in shaping the future of political communication and engagement. With shifting viewer preferences and the ongoing evolution of digital media consumption habits, political campaigns need to look at CTV as a critical platform for voter engagement so they can allocate resources and shift their strategy to harness its full potential.
Using the targeted capabilities and expansive reach CTV advertising offers, political entities can optimize ad creative for the streaming environment, implement data-driven targeting strategies, and effectively connect with voters across diverse demographics and geographic regions.
Reach your ideal voters with Experian’s political audiences
Effective audience targeting is essential for political campaigns wanting to sway voters and shape public opinion in the next election. Don’t miss the opportunity to reach your ideal voters and make a lasting impact in the 2024 elections! With Experian’s political audiences, you can target voters based on their political affiliations, personas, and attitudes toward relevant ballot initiatives in your advanced TV advertising.
Experian offers a comprehensive range of political and geo-indexed audiences designed to help political campaigns and organizations connect with desired segments in a meaningful and impactful way. Our geo-indexed audiences can help you discover, segment, and craft messaging without the use of sensitive personal information, so you can confidently reach your target audience without sacrificing data privacy.
Our syndicated audiences also span multiple verticals and categories. With over 240 politically relevant audience segments available for activation, you can confidently execute your political campaign marketing strategy with precision and impact. When you connect with our audience team, we can also help you build and activate an Experian audience on the platform of your choice.
Partner with us to reach your ideal voters and make a lasting impact in the 2024 elections.
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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 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. Cookieless targeting 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. Latest posts