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Artificial intelligence (AI) and connected TV (CTV) have a perfect synergy that’s revolutionizing how advertisers connect with their audiences. CTV serves as a medium for streaming content, while AI acts as a sophisticated technology that improves the performance of CTV advertising campaigns. The integration of these two technologies has paved the way for advertisers to reach their target audience more effectively, making CTV advertising a powerful and efficient tool.
In this blog post, we’ll dive into how these technologies work together —and why you should jump on board with AI for CTV advertising if you haven’t already.
Why AI and CTV are a great match
CTV and AI are transforming how advertisers connect with their audiences and improving the performance of their advertising campaigns in the CTV space. They work together to make advertising smarter and more enjoyable for everyone involved. AI uses sophisticated computer programs to analyze and understand data, while CTV refers to the streaming services that consumers use at home. But what makes them a great match in advertising?
AI uses data to determine which TV ads are most exciting and relevant to certain people, and it can even adjust ads in real time to ensure viewers are always getting the most personalized experience. AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. To sum it up, AI allows for:
- Precise targeting: AI uses data to determine which TV ads are most exciting and relevant to certain people.
- Personalization: AI can adjust ads in real time to ensure viewers are always getting the most personalized experience.
- Effective ad insertion: AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next.
CTV facilitates these AI-driven strategies for enhanced user engagement and satisfaction.
The rising popularity of CTV
CTV has become increasingly popular as people change the way they watch TV. Instead of the traditional approach, more viewers are now choosing CTV platforms for their entertainment. One of the main reasons for this shift is that CTV offers greater flexibility and lets viewers watch content at their convenience. The ability to skip ads on many CTV platforms also improves the experience.
CTV offers a great opportunity to interact with your target audience in a more engaging way. CTV allows for highly targeted advertising capabilities so you can reach specific demographics and households with tailored messages. Additionally, CTV provides valuable data insights that enable you to measure campaign effectiveness accurately.
If you haven’t embraced this advertising channel yet, you may be missing out on a growing and engaged audience. Here are three reasons you should add CTV to your advertising strategy.
Global video ad impressions
As a global platform, CTV has the unique ability to reach audiences worldwide. Unlike traditional TV, CTV transcends geographical boundaries and brings marketers a global audience, which makes it an ideal channel for global ad campaigns. No matter your target audience, they’re consuming content on CTV. In fact, a recent study showed that 51% of global video ad impressions came from CTV in 2022.
This abundance of global video ad impressions generates vast amounts of data, which AI can process in real time to help you make data-driven decisions and optimize your campaigns for diverse international audiences. AI can analyze viewer data from various regions, identify audience preferences and behaviors across borders, and tailor ad content accordingly. These data analysis capabilities ensure your ads get in front of the right viewers.
Viewers prefer ad-supported CTV
In 2020, the viewing time of ad-supported CTV surged by 55% while subscription video on demand decreased by 30%, according to TVision Insights. Viewers have a well-established preference for ad-supported CTV due, in part, to cost-effective access to premium content. Viewers are more engaged and less resistant to ads, as AI tailors ad content to viewer preferences and behavior to enhance ad relevance.
AI-powered insights can also aid in viewer retention and help you optimize your CTV campaigns. By accommodating viewers’ preference for ad-supported CTV and harnessing AI to improve the ad experience, you’re more likely to be successful in your marketing efforts.
CTV outpaces mobile and desktop for digital video viewing
eMarketer recently reported that U.S. adults spend 7.5+ hours each day on CTV —more than half of their digital video viewing time. Comparatively, they only spend 37.5% of their viewing time on mobile and 10% on desktops and laptops. These statistics demonstrate that CTV has become the preferred platform for digital video consumption, as viewers enjoy larger screens with superior quality for an immersive experience.
It’s important to note that AI is an essential CTV marketing tool, as it allows for precise targeting and content optimization. By utilizing AI on CTV, you can take advantage of this trend and deliver more engaging and effective campaigns to a growing and engaged audience.
How is AI already being used in CTV?
CTV has been integrated with AI across various facets and has revolutionized the television landscape. Here’s a look at how AI is already shaping the CTV experience:
Generative AI ads
Generative AI ads are taking CTV personalization to a whole new level. These innovative ads are customized versions of the same CTV ad to suit individual viewers. Some AI tools can generate several versions of the same CTV ad — swapping the actor’s clothing and voiceover elements like store locations, local deals, promo codes, and more — and can create up to thousands of personalized iterations in just a few seconds. Such capabilities are a game-changing approach to connecting with your audience.
Next, we dive into the advantages and impact of generative AI ads, and explore their transformative role in CTV advertising.
Contextual ads vs personal data
Generative AI ads use personal data, such as viewing history and demographics, to create highly personalized ad experiences. This sets them apart from contextual ads, which rely solely on the content being viewed. Using AI to harness this data, you can move beyond traditional contextual targeting and ensure your ads connect with viewers on a more individualized level.
Generative AI ads can be used to A/B test
Generative AI ads are not just about personalization; they also open the door to A/B testing. Being able to create several versions of one ad quickly allows you to experiment with various ad elements, such as messaging, visuals, and calls to action, to identify what works best for different segments of your audience and drives the best performance. This flexibility is especially valuable for refining ad campaigns and maximizing their impact.
What’s next for AI-generated ads like this?
The potential of AI-generated ads is exciting. As AI technologies constantly advance, we can expect even more personalized and automated CTV advertising. It’s a good idea to keep up with the latest AI-driven innovations to create more effective ad campaigns in the fast-evolving CTV space. The possibilities are endless, and you’ll likely find the most success when you embrace AI in CTV advertising.
Optimize streaming quality
AI helps viewers enjoy more seamless CTV experiences. By assessing network speed and user preferences, AI optimizes video quality in real time to reduce buffering interruptions. For instance, streaming platforms use AI to adjust video settings based on a user’s connection speed. This guarantees an uninterrupted and enjoyable viewing experience.
Review content for compliance
AI also has a part to play in quality assurance and compliance management. It assesses content alignment with technical parameters and moderates compliance with local age restrictions and privacy regulations. This means AI can identify and filter out unsuitable content to provide a safer and more enjoyable viewing environment for audiences while safeguarding brands from association with undesirable material.
Voice command
AI-powered voice command technology is increasingly used to control CTV viewing. This technology is embedded in streaming devices and smart TVs and allows viewers to interact with their CTV content through voice-activated commands. This personalizes the viewing experience and improves convenience, as it eliminates the need for remote controls.
CTV-integrated voice assistants like Google Assistant, Amazon Alexa, Apple Siri, and Samsung Bixby offer a more human-like interaction with the television, allowing users to give commands and receive tailored responses.
Content recommendations
AI can offer content recommendations that provide viewers a more personalized and engaging experience. Major over-the-top (OTT) services like Netflix, Hulu, and Amazon Prime use AI-driven data analysis to deliver tailored content suggestions to their audiences. By analyzing user habits in detail, AI can recommend content based on factors such as actors, genres, reviews, and countries of origin. This personalized approach helps viewers discover content that matches their preferences and enhances their viewing experience.
Advertising
Programmatic ad buying, driven by AI, automatically matches ad placements to specific audience segments based on behavioral patterns. It improves ad delivery by moving away from gross rating points (GRP) to more intelligent and targeted placements. This benefits marketers by ensuring ads are seen by the right people at the right time. It’s also cost-effective for publishers, as it maximizes the sale of ad spots to suitable buyers.
Automatic content recognition (ACR) technology, which AI powers, is integrated into smart TVs and streaming devices to improve ad relevance. It provides contextual targeting and extends the reach of ads across multiple devices. For example, platforms like Roku use ACR data to display ads to viewers who haven’t seen them on traditional TV. Similarly, Samba TV retargets mobile users based on IP address and aligns their viewing habits with their smart TVs.
Demand-side platforms
CTV advertising relies heavily on demand-side platforms (DSPs) to efficiently manage and optimize ad campaigns. These platforms use machine learning and AI in several important ways:
Using machine learning and AI to address data fragmentation
Data is abundant but fragmented when it comes to CTV advertising. DSPs are flooded with a massive amount of data, including information about households, viewer behavior, and viewing patterns. This data is far too much for manual analysis to handle effectively, which is where AI comes in.
By integrating machine learning algorithms into DSPs, AI can harmonize this fragmented data and provide valuable insights and a holistic view of your audience. AI can process zettabytes of data in real time, which streamlines the decision-making process and empowers you to compete quickly for limited CTV impression opportunities.
Predicting advertising outcomes with AI
AI is quickly changing the way we predict and optimize advertising outcomes. TV buying and optimization platforms are now using AI to improve ad performance. With machine learning, these platforms can anticipate which ad creatives will produce the best results based on various non-creative factors. These include the context of the ad, the audience’s profiles, the time of day it is displayed, and the frequency of the ad display.
By relying on AI to make these predictions, you can make sure your campaigns are highly optimized for success and deliver more relevant, compelling ads to viewers.
Optimizing generative ads
AI is also driving optimization in generative ads. These personalized versions of the same CTV ad can be tailored to suit individual viewers. By utilizing AI-driven analytics, DSPs can process extensive amounts of data in real time and optimize generative ads to ensure they align with viewers’ preferences and behaviors. This level of personalization is a game-changer in CTV advertising that boosts engagement and delivers content that truly resonates with the audience.
Add AI to your CTV strategy today
Integrating AI into your CTV strategy can help you stay competitive and ensure your ad campaigns are effective and engaging.
At Experian, we’re ready to help you elevate your CTV advertising and implement AI as part of your strategy. Our solutions, such as Consumer View and Consumer Sync, provide valuable audience insights, enhance targeting capabilities, and optimize engagement on TV. Plus, our partnerships with leading media marketing solutions can help you achieve greater success through effective advanced television advertising.
As you incorporate AI into your CTV strategy, you’ll be able to make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Explore Experian’s TV solutions and empower your CTV advertising with AI today.
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Reach de-identified patient and provider segments at scale across every channel. Pharmaceutical brands and media platforms, including connected TV (CTV), can activate HIPAA-compliant audiences built on real-world clinical and claims data through a new collaboration between PurpleLab and Experian. Targeting de-identified audiences is essential for engaging the right patients at pivotal moments in their health journey, maximizing ROI while safeguarding privacy and improving outcomes. Overall, prescription drugmakers spent $2.97 billion on national TV advertising in the first half of 2025, a 12.2% year-over-year increase, underscoring the growing demand for scalable, privacy-compliant healthcare advertising in premium media environments. Now, whether you're a pharma advertiser launching a new therapy or a platform curating health-focused inventory, PurpleLab’s integration refreshes the media planning ecosystem, offering marketers easier access to the audiences needed to drive impact. Activate with accuracy and scale PurpleLab’s de-identified healthcare segments, categorized by condition, treatment, specialty, and prescription behavior, are now accessible through Experian's data marketplace, streamlining media planning. This integration enables PurpleLab’s privacy-safe audiences to travel from discovery to omnichannel delivery. Experian then handles onboarding, activation, and audience expansion, in accordance with HIPAA and with industry standards. Utilizing Experian’s identity graph, spanning household and individual-level insights, as well as marketing attributes, these healthcare audiences can be: Onboarded securely, matching hashed emails or tokens to digital identifiers Activated across major channels, including CTV, mobile, display, and social Expanded with confidence, reaching more of the target population, patients, or healthcare professionals, without relying on third-party cookies This infrastructure unlocks greater scale and completeness for niche pharma audiences that have historically been hard to reach in digital and streaming environments. For brands navigating fragmented media and tightening privacy regulations, this collaboration provides the clarity and consistency they’ve been seeking. “We know healthcare marketers are under pressure to get it right: to respect privacy, be accurate, and scale. That’s why we’re excited to bring PurpleLab audiences into the Experian data marketplace and make them available through Audigent’s curated deals. It gives pharmaceutical brands and platforms a clear way to plan and measure campaigns, with the assurance that they’re reaching patients and providers when it matters in the right way.”Kim Gilberti, General Manager Curation through Audigent: Premium supply meets premium data For advertisers seeking turnkey media solutions, PurpleLab audiences are now also available through Audigent’s curated deals. Audigent’s curated deals simplify media buying by packaging PurpleLab’s clinically grounded audiences with premium, brand-safe inventory, thus creating a unified package. Instead of stitching together data and supply separately, media buyers can now access pre-built or custom-curated media deals where PurpleLab audiences are already integrated, ideal for health and wellness programming, premium CTV, or contextual content aligned to therapeutic areas. This approach gives marketers both efficiency and accuracy, streamlining execution while maintaining compliance and relevance. “Bringing together PurpleLab’s clinically precise audiences with Experian’s powerful identity and activation capabilities, and pairing it with Audigent’s premium inventory, gives advertisers more than a turnkey solution. It’s the power to launch campaigns that truly resonate, with data and media working in harmony from day one to deliver both efficiency and impact."Scott Ronay, VP, Advertising Sales Real-world use cases: Accuracy with purpose CTV awareness for cardiovascular therapies A cardiovascular brand is launching a CTV campaign to reach healthcare providers involved in treatment decisions. Using PurpleLab’s provider-level segments from the Experian data marketplace, a brand can activate audiences across brand-safe, streaming environments. This strategy enables meaningful engagement with prescribers while maintaining scale and compliance across CTV and complementary digital channels. Cross-device activation for high-impact health campaigns A biotech firm promoting a new therapy needs to reach patients who are likely to have a relevant condition, based on modeled audience segments. Using PurpleLab’s real-world patient segments, the advertiser activates across mobile, display, and CTV, with Experian’s identity graph ensuring household-level consistency across devices. Privacy and scale are preserved, while the brand ensures it’s not wasting impressions on ineligible or misaligned audiences. Closed-loop measurement, built for healthcare Beyond targeting, the PurpleLab–Experian integration empowers advertisers to measure real-world outcomes, not just digital proxies. By utilizing tokenization, Experian enables ad exposure data to be securely matched back to de-identified health events within PurpleLab’s platform. This means marketers can assess outcomes such as: Prescription lift among exposed vs. unexposed audiences Healthcare professional engagement and treatment initiation Patient adherence or follow-through behavior This type of closed-loop reporting is critical in pharma, where traditional metrics like clicks or impressions do not reflect business impact. Now, with token-based match-back, brands can see whether their campaigns are driving real results, securely and compliantly. Ready to reach the right patients and providers securely and at scale? Explore PurpleLab audiences in the Experian data marketplace and Audigent curated deals to activate clinically grounded, privacy-compliant segments across CTV, display, mobile, and more. Contact us Latest posts

Programmatic media buying isn’t getting any easier. Buyers face rising signal loss, shrinking margins, and growing pressure to perform in a privacy-first world. Add in fragmented tech, shifting privacy regulations, and inconsistent identity signals, and reaching the right audience at scale has never been more complex (or costly). Meanwhile, advertisers demand more transparency, publishers want control, and consumers expect relevance without feeling watched. Open exchanges, legacy data management platforms (DMPs), and spray-and-pray strategies just aren’t cutting it. That’s why curation has become a trending topic in the AdTech space. In programmatic advertising, curation refers to the strategic integration of enriched data and quality inventory into a single package — often executed as a private marketplace (PMP) deal. This approach reshapes how campaigns are built, activated, and optimized by enabling performance-ready buys that reduce waste, increase relevance, and give marketers greater control over outcomes. It’s no wonder then that curation investments are accelerating, PMPs are gaining traction, and buyers are shifting budgets accordingly. Over 66% of the $150 billion+ open exchange programmatic market now flows through curated PMPs, with industry giants like Google publicly backing curation as a core strategy. So what exactly is programmatic curation, and why is it becoming essential for privacy-conscious, performance-driven marketers? Let’s break it down. What does programmatic curation mean in AdTech? Programmatic curation is the process of filtering, structuring, and packaging enriched data with high-quality programmatic inventory — enhanced by real-time optimization to create more targeted, efficient, and transparent media buys. Instead of buying at scale and hoping for the best, curation prioritizes accuracy and value over volume, resulting in more targeted, efficient, and transparent media buys. As privacy regulations reshape targeting, curation is becoming a key differentiator in an increasingly crowded AdTech space. It connects robust data with quality supply, helping marketers stay effective while giving publishers new ways to monetize with control. But not all curation is created equal. Programmatic curation requires three core elements: 1. Unique data Unique, privacy-compliant, and valuable. 2. Strong supply connections Access to quality inventory from publishers at scale. 3. Optimization tools To measure, refine, and improve performance during a campaign and improve performance throughout the campaign lifecycle. Without all of these elements, a so-called “curator” may simply be repackaging inventory without delivering the full value of a curated approach. Why does curation still matter with cookies sticking around? While third-party cookies and mobile IDs like IDFA haven’t gone away, the industry has already pivoted in anticipation of their decline. Even without Google flipping the switch, signal loss is here thanks to Apple’s ATT, tighter compliance rules, and new tracking restrictions. Marketers are dealing with less data, more fragmentation, and fewer reliable IDs. So if you want to run an effective, scalable media campaign today, you need tools that go beyond third-party cookies. That’s why programmatic curation is gaining ground as a better, more sustainable way to buy media. Investments in programmatic curation are growing, and not just for identity resolution. Marketers are leaning in because it: Combines verified audience data with premium inventory Supports ID-free or context-aware targeting Enables scalable, identity-agnostic strategies Improves data quality through enrichment Creates more controlled, pre-approved media paths via PMPs Experts anticipate that, at some point, publishers will have to lean into this method. “Curation will be bigger than header bidding and as big as programmatic or RTB — that’s our bet.”Andrew Casale, CEO Whether cookies stay or go in the future, curation works for an ecosystem that demands smarter, cleaner, and adaptable media buying. What are the benefits of curation and who wins? Curation is one of the few innovations in AdTech delivering meaningful wins across the ecosystem. By bringing better data, cleaner supply, and more intentional targeting into programmatic advertising, it helps brands, agencies, and media buyers drive stronger performance, gives publishers more control, and creates a more respectful experience for consumers. And unlike traditional approaches, curation is built for what’s now and what’s next. Here’s how each group benefits and why it matters. Brands and agencies Curation helps brands and agencies run smarter, more efficient campaigns by connecting high-quality data with premium supply. It delivers: More efficient supply paths with less waste and better performance Lower costs than DMP segments and open exchange buys Cleaner, pre-vetted inventory that aligns with audience and brand goals Future-proofed buying via cookieless and log-level data integrations Stronger targeting and measurement driven by enriched data and actual usage signals instead of modeled assumptions Better outcomes through real-time supply and data optimization Publishers For publishers, curation makes inventory more addressable without giving up control. It enables: Smarter packaging that aligns with buyer needs and campaign goals Higher CPMs by curating inventory above open exchange floors More control over how audiences are accessed and how inventory is monetized Access to higher-value demand through curated, data-backed deals Better protection of proprietary audience in a privacy-conscious environment Consumers At the end of the chain, curation improves the ad experience for those who matter most: your audience. It supports: Higher-quality content alignment for more natural, less disruptive ad experiences tailored to their interests Less invasive tracking, as targeting becomes more data-smart and privacy-aware, with reduced reliance on legacy identifiers and personally identifiable information (PII). Curation is setting a new standard for how data, inventory, and experience come together across the ad ecosystem. When media is smarter, cleaner, and more intentional, everyone wins. What’s Experian’s role in powering curation? With the acquisition of Audigent, Experian is now more than just a premier data provider. We’re also a full-service curation partner. Together, we deliver end-to-end programmatic curation across data, inventory, and optimization, helping brands and publishers unlock smarter, more scalable media strategies. What Experian + Audigent enable Whether you need speed-to-market with pre-curated deals or white-glove custom deals, Experian and Audigent make it easier to activate high-performing, privacy-compliant campaigns at scale with: End-to-end curation across data, inventory, and real-time optimization Pre-packaged and custom PMP deals with built-in performance signals Scalable, privacy-first media solutions aligned to brand objectives, verticals, and KPIs These aren’t just theoretical; curated marketplace deals are already delivering measurable gains. In OpenX, Audigent-curated campaigns increased bid competition by 20% and drove a 118% spike in impressions won over a two-month period. Key benefits for partners By bringing together our data depth and Audigent’s curation technology, we offer our partners a full suite of value-added capabilities, including: High-quality, verified data ranked #1 in accuracy by Truthset and powered by Experian’s identity graph and deep programmatic data insights Data enrichment layers that boost addressability, accuracy, and contextual relevance Privacy-compliant infrastructure built for secure, cookieless data use at scale Platform integration across leading demand-side platforms (DSPs) and supply-side platforms (SSPs) for seamless activation and optimization How Boiron achieved smarter reach with Audigent’s curated PMP strategy A leading homeopathic brand partnered with Audigent to scale customer acquisition for its flu relief product without increasing media investment. They wanted to reach new, privacy-compliant audiences while improving CPA across display and video. Using Audigent’s curated SmartPMPs and CognitivePMPs, the campaign delivered measurable performance improvements: 80% lower CPA on display than historical benchmarks 40% lower CPA on video 30% reduction in data costs Significant media efficiency gains through real-time supply and data optimization Fully future-proof targeting with zero reliance on cookies or MAIDs See how Boiron’s success story is just one example of how curated deals backed by Experian identity and Audigent’s optimization technology can deliver efficiency and impact in a privacy-conscious environment. Our curation capabilities Together with Audigent, our curated solutions go beyond basic packaging. Every deal is designed for performance, privacy, and relevance, so you can activate smarter media with greater confidence: Deal ID-ready audiences for fast, turnkey activation Performance-specific curation, including viewability, CTR, and outcome-based targeting Custom audience + inventory packages tailored to campaign goals Vertical-specific curation for industries like auto, retail, CPG, and financial services Real-time optimization signals embedded into every curated deal Don’t wait: Curate today The future of programmatic advertising won’t be won by those waiting for perfect signals, clean cookies, or simplified tech stacks. It’ll be won by marketers and publishers who embrace smarter, cleaner ways to activate their data, inventory, and strategy now. With Experian and Audigent, you’re not just getting better data but also a partner that helps you activate it with accuracy, privacy, and performance at scale. Whether you’re trying to reduce media waste, gain supply path control, or future-proof your campaigns, curated deals can get you there faster. Let’s build a curation strategy that gives you control in a chaotic ecosystem. Latest posts

Traditional audience signals are fading, and the industry is facing a new reality: identity is no longer just about connectivity, it’s about outcomes. At Cannes Lions 2025, leaders from AdRoll, LG Ad Solutions, Magnite, MiQ, OpenAP, PubMatic, Stirista, Tatari shared how innovative identity approaches are cutting through the noise, improving performance, and delivering real ROI. Their insights reveal a clear path forward for those ready to turn identity into a performance driver. Here’s how you can apply the same principles to drive performance. 1. Make identity a performance engine Treating identity as a performance driver leads to measurable results by creating a clear connection between marketing efforts and outcomes. Identity resolution enables the effective retargeting of audiences, accurate performance attribution across connected TV (CTV), and personalized campaigns across multiple channels. By building household-level graphs and incorporating alternative identifiers, marketers can maintain accuracy as traditional signals change. Activating first-party data across both digital and offline channels ensures that every interaction, whether on-screen or in-store, can be tied back to specific actions, helping optimize campaigns, and improve ROI. How Experian helps Experian’s Consumer Sync solutions create a clean foundation and persistent identity spine by resolving and expanding your first-party data across digital and offline IDs (hashed emails, mobile ad IDs, CTV IDs). This enables activation across omnichannel campaigns, from CTV to social, and connects data to outcomes. "Identity resolution is very important to our overall strategy today. Without that identity linkage, we couldn’t speak the same language as our clients. For example, a client might want to target people who engaged with their brand’s website four days ago via CRM data. Without identity resolution, that’s not possible. But with it, we’re changing the narrative – making TV a hospitable place for deploying first-party data and driving outcomes."Mike Brooks 2. Build trust through responsible data practices Consumer trust begins with responsible data practices that prioritize transparency and privacy. Deterministic match rates ensure accuracy by connecting data points with confidence, while clear methodologies provide visibility into how data is used. These practices improve overall campaign performance and protect consumer privacy by ensuring that every interaction is respectful. How Experian helps Experian’s privacy-first approach ensures that all data activation occurs with compliance and consent. By maintaining high match rates and adhering to transparent methodologies, Experian helps build trust and strengthen long-term connections with audiences. "If people don't take any precautions and they don't actually care about data in the public, they probably don't care about it in private. Experian cares about data privacy and compliance, and that made it a no-brainer for us to work with them. When we combined our focus on privacy with Experian’s expertise, we knew we had to do it right – and we did."Henry Olawoye 3. Expand reach while maintaining high match rates Having more data points to identify individuals leads to higher match rates and broader reach. Enriching records with additional identifiers, like hashed emails, MAIDs, and CTV IDs, makes it easier to connect data across channels and create a unified view of each person. This approach ensures that campaigns can scale effectively while maintaining the accuracy needed to deliver personalized experiences. How Experian helps With a database of over 5,000 attributes spanning 15 verticals and categories, Experian provides a comprehensive view of consumers through a single provider. By sourcing data from over 200 sources (including public records, consumer surveys, and purchase records), Experian enables the creation of detailed audience profiles. This enriched data focuses on identity, creating a unified view of individuals that helps pinpoint the best opportunities to engage effectively across channels and deliver measurable outcomes tailored to specific audience needs. "We’ve been able to extend our IDs by an average of 6.5 different identifiers, with a 70% match rate. That extension is huge – it underpins a lot of the connectivity in our platform and allows us to bring 300 data feeds together to make the most of them."Georgiana Haig 4. Create unified campaigns with interoperability Fragmented data often leads to fragmented results. Interoperability ensures that data from different platforms and systems can work together, creating a unified view that makes measurement and attribution more actionable. How Experian helps Experian simplifies interoperability by ensuring consistent data usage from activation and measurement. By connecting data from various sources, Experian enables a cohesive strategy where insights can be shared across publishers, measurement providers, and ad servers, ensuring campaigns remain aligned and effective at every stage. "The ecosystem benefits from optimized interoperability. We’re focused on allowing advertisers to work seamlessly across IDs and identity solutions – from activation to resolution – so the same data set is used consistently across publishers, measurement providers, currencies, programmatic ecosystems, and ad servers."Chris LoRusso 5. Use AI to amplify, not replace, strategy Artificial intelligence (AI) is transforming how campaigns are optimized, but its success depends on clean, consented identity foundations. AI can analyze vast amounts of data to refine targeting, manage frequency, and uncover new efficiencies, but only when built on a strong identity framework. How Experian helps Experian uses AI and machine learning to deliver highly personalized marketing solutions. Advanced clustering algorithms in Experian’s Digital Graph analyze and create household and individual device connections, improving targeting and measurement accuracy, while machine learning models improve consumer insights by inferring household composition where data is limited. These innovations enable AI tools to quickly generate tailored audience solutions, analyze contextual signals in real time, and identify opportunities that improve results while maintaining a human centered approach to decision making. "AI is a copilot to your marketing initiatives. For it to perform, it needs insights and information to learn from. That’s why having a strong foundational data asset rooted in deterministic data is so important."Howard Luks Five moves to turn identity into profit Here are five steps to get started: 1. Audit your data health Make sure your audience data is accurate, up-to-date, and complete so you’re starting from a strong foundation. 2. Layer in more context Enrich your records with details, like lifestyle, interests, or buying behaviors, that help you speak your audience’s language. 3. Unify touchpoints across channels Link your data so you can see the same person or household whether they’re engaging on CTV, mobile, desktop, in-store, or through other touchpoints. 4. Activate AI for stronger campaigns Use AI tools to fine-tune targeting, control ad frequency, and find hidden opportunities once your foundation is solid. 5. Align data across systems Ensure interoperability so data from different platforms and systems can work together, creating a unified view for actionable insights. The common thread across these insights is connection: connecting data, teams, and outcomes. Marketers who act on these imperatives will be ready for whatever new channel, format, or privacy rule comes next. Let’s start a conversation about how Experian can help you turn identity into ROI Latest posts