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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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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 Eric Shiffman, VP of Product Marketing at Yieldmo. Here are five key takeaways from Eric’s insights: Tailored campaigns with Experian data: Yieldmo integrates Experian’s trusted identity and audience data to deliver creative campaigns tailored to specific audiences, ensuring more meaningful engagement. Omnichannel activation made easy: Experian’s data marketplace helps Yieldmo expand its reach across display, mobile, and CTV, creating seamless cross-channel advertising strategies. Advanced targeting and insights: The combination of Yieldmo’s attention signals and Experian’s identity solutions allows advertisers to pinpoint audiences with precision and confidence. Driving results in key verticals: Retail, CPG, and automotive campaigns use Experian data on Yieldmo’s platform to achieve improved personalization, targeting accuracy, and measurable outcomes. Scalable and privacy-conscious advertising: Yieldmo’s partnership with Experian ensures scalable solutions that balance advanced targeting with privacy-focused practices, benefiting advertisers across all industries. About Yieldmo Yieldmo often describes itself as ‘the creative and media results company,’ using a predictive, provocative, and proven approach. Could you give us a brief overview of how this vision shaped the company and how you differentiate yourselves in ad tech? Yieldmo was built on the belief that every ad experience should be as engaging and human centered as the content around it. By merging creative excellence with advanced technology and AI, we enable advertisers to deliver custom ad formats that spark emotion and inspire action. Our proprietary attention signals and predictive format selection allow brands to optimize for outcomes before impressions are served. This approach, combined with privacy-safe inventory curation, ensures that our solutions stand out in their ability to deliver both creativity and results. Creative and inventory performance You’re known for delivering premium experiences across top-tier publishers. What strategies or innovations does Yieldmo employ to boost creative performance, increase engagement, and optimize inventory for your partners? At Yieldmo, we emphasize the fusion of creative and media. We utilize predictive AI and a vast dataset to generate, customize, and match creatives with the right audiences and page contexts, enabling proven performance and learnings. On the supply side, we elevate publisher inventory by aligning high-quality ads with relevant content in innovative, non-intrusive creative formats. This dual focus ensures that every impression is primed for engagement, delivering tangible value to advertisers and optimal monetization for publishers. Partnership with Experian As a partner of Experian, how do our identity and audience data complement Yieldmo’s platform, and why do you see this collaboration particularly beneficial for the broader advertising industry? Experian’s robust identity and audience data strengthen Yieldmo’s ability to serve precisely tailored creative experiences. By integrating Experian’s insights with our proprietary attention signals and AI-driven predictive systems, we can optimize audience targeting and engagement strategies. This partnership represents the advancement of outcome-driven advertising while giving brands the confidence of reaching the right consumers in meaningful ways. Interest in Experian's data marketplace Experian recently introduced a new data marketplace aimed at simplifying data partner audience activation across display, mobile, and CTV. Which elements of this offering are most exciting from your perspective, and how do you anticipate it shaping Yieldmo’s solutions? The unified approach of Experian’s data marketplace to streamline audience activation aligns seamlessly with Yieldmo’s vision of delivering data-driven creative optimization. The ability to activate comprehensive data sets across multiple channels expands our omnichannel solutions, bringing precision and scalability to advertisers. Lately, we have focused resources on delivering thoughtful, cross-channel creative experiences, so aligning audiences to those is a logical extension. Verticals using third-party data From your experience, which verticals or industries are most likely to activate third-party data campaigns on Yieldmo’s platform, and have you observed any emerging trends in how advertisers use data from Experian or other providers? The retail, CPG, and automotive industries have been leading adopters of third-party data, using it to fine-tune targeting and personalize their messaging. Recently, we’ve noticed a shift toward bringing more post campaign measurement insights to the supply side–brand lift, foot traffic, conversion–for better optimization, whereas historically this valuable dataset was trapped in buy-side platforms. Data utilization and success stories Could you share how Yieldmo’s data-driven approach has evolved and any standout success stories that highlight your platform’s impact and value to partners? Yieldmo has always prioritized data to inform creative decisioning, from predictive ad placements to real-time optimization. In this award-winning Humane Society case study, we utilized media curation and predictive creative to drive a >170% CTR increase, 5x the campaign benchmark, leading to more page visits and donations. Thanks for the interview. Any recommendations for our readers if they want to learn more? To learn more about our solutions and partnership opportunities, visit the Yieldmo website or contact your Experian account representative to schedule your free match test. Contact us About our expert Eric Shiffman, Vice President of Product Marketing, Yieldmo Eric Shiffman is a product marketing leader with extensive experience in advertising technology. At Yieldmo, he drives strategies that blend AI, creative optimization, and privacy-conscious solutions to deliver measurable creative and media results. Eric translates complex technologies into actionable messaging, positioning, and insights, and evangelizing products and solutions. His expertise spans creative optimization, data-driven advertising, CTV, and audience solutions. Latest posts

Originally appeared in Streaming Media Magazine Navigating today’s fragmented, privacy-conscious media landscape is a bit like stepping into a dense jungle. The buy-side—marketers, agencies, and demand-side platforms (DSPs)—must find their way through signal loss, measurement challenges, and evolving consumer expectations. But this isn’t just a challenge; it’s a strategic opportunity. Let’s dive into how buy-side players can use Experian’s advanced data and identity solutions to be their guide through the jungle and emerge as winners. Marketers: Maintaining personalization and measurement across channels Marketers are navigating an increasingly fragmented media jungle, where the deprecation of signals like cookies, mobile ad IDs (MAIDs), and IP addresses makes finding and understanding audiences feel like guesswork. To chart a clear path, marketers need a reliable compass—and identity resolution provides exactly that. A strong identity provider, grounded in offline data like names, addresses, phone numbers, and emails, acts as a guide through the chaos. By connecting offline signals with digital identifiers in a privacy-first manner, marketers can uncover the relationships between households and devices, then enrich those profiles with valuable marketing data. With a complete view of your customers, you gain deeper insights and can seamlessly reach the right audience across channels—even as signals evolve. It’s a marketer’s North Star—constant, dependable, and always pointing you in the right direction. How Experian can help Imagine a financial services brand aiming to connect with high-net-worth individuals across today’s fragmented media world. They’ve excelled on social and search but now want to dive into connected TV (CTV) and other emerging channels. Enter Experian’s Digital Graph. By seamlessly connecting digital identifiers like MAIDs, CTV IDs and hashed emails (HEMs), our graph becomes the bridge that unifies their audience across every channel. Suddenly, the same audience that saw their ad on social during lunch is now watching a personalized spot on CTV that evening, all thanks to Experian. The result? A cohesive campaign that delivers hyper-relevant messages, stronger engagement, and measurable success. With Experian, fragmentation becomes connection, and personalization stays powerful across the entire media landscape. Agencies: Strategic partners in a fragmented world Agencies are the architects of the identity jungle, building bridges that guide brands through fragmentation and deliver campaign success. Thriving in this terrain requires data solutions that create actionable insights, enable personalization, and drive measurable outcomes. To meet marketers’ demands, many agencies have invested heavily—acquiring data companies or forging strategic partnerships to strengthen their foundations in data and identity solutions. These investments help them connect fragmented audience data and unlock new opportunities for their clients. But even with in-house capabilities, agencies often need more—more attributes, more integrations, and greater connectivity. In the jungle of identity, success isn’t just about building better data assets; it’s about ensuring those assets can be utilized across platforms. How Experian can help Picture a large independent agency ready to step up its game—expanding beyond its middle-market niche to attract enterprise-level clients. But to play in the big leagues, they need more than a solid strategy; they need data and identity solutions that deliver a competitive edge. Enter Experian. With our rich identity graph and deep customer insights, the agency can unlock new opportunities for its clients. Imagine offering enterprises the ability to connect fragmented audience data, create hyper-targeted campaigns, and measure success across every channel. The payoff? The agency doesn’t just win over new enterprise clients; it strengthens relationships with existing customers by proving it can navigate today’s fragmented media landscape with precision and measurable impact. With Experian, the agency becomes an indispensable strategic partner in the data-driven advertising world. DSPs: Navigating signal loss with a multi-ID strategy For DSPs, navigating the identity jungle means forging a path through the winding trails of cookieless strategies. With third-party cookies fading and no single identity solution—like Unified ID 2.0 (UID2)—able to cover all media engagement, DSPs must adapt to a multi-ID world. The challenge is twofold: finding flexible solutions to manage a multitude of identifiers while staying compliant with a growing number of state-level privacy laws. It’s not just a technical problem; it’s a call for strategic vision. And the way to thrive in this ever-changing terrain is to invest in identity solutions that connect digital and offline identifiers to a single customer profile. How Experian can help Imagine a DSP navigating a complex web of identifiers—UID2, HEMs, proprietary IDs—while juggling compliance with evolving privacy laws. Experian steps in as the ultimate connector. Our identity solutions, powered by stable offline data, are signal-agnostic and integrated across the advertising ecosystem. This ensures that DSPs can confidently manage multiple identity frameworks, keeping campaigns targeted, measurable, and compliant. With Experian, DSPs gain more than a stopgap solution; they get a future-proof identity strategy. The result? Better targeting, smoother omnichannel execution, and the strategic edge needed to thrive in a fragmented, multi-ID world. Turning identity challenges into a strategic advantage The identity jungle is a thriving ecosystem for those with the right guide. Experian helps marketers, agencies, and DSPs chart the course by unifying multiple identifiers into a single, complete customer profile. With the right tools (and a good map), buy-side stakeholders can learn more about their customer, reach audiences across channels, and deliver personalized marketing. Read our companion article to learn how the sell-side is approaching data and identity challenges. Read now Get started today Latest posts

We spoke with industry leaders from Ampersand, Basis Technologies, Captify, Cuebiq, CvE, Fetch, Madhive, MiQ, and Samsung to gather insights on how innovations in data and identity are creating stronger consumer connections. Here are five key insights to consider. 1. Build on trust with first-party data Stricter privacy regulations and growing customer expectations mean businesses must rethink how they gather and use data. A robust first-party data strategy centers on gathering high-quality data, such as behavioral and transactional data. By using behavioral, lifestyle, and purchasing data, brands can craft personalized strategies that align with their goals. This approach balances effective targeting with building trust and complying with privacy rules. Integrating identity solutions like Unified I.D. 2.0 (UID2) and ID5 into existing data strategies improves interoperability across platforms while keeping user privacy intact. These tools help create more effective campaigns. "We've been preparing and leaning into educating our clients around the value of first-party data. These are very important and primary considerations in any of our campaigns."April Weeks, Basis Technologies 2. Align metrics with business goals To demonstrate clear value, campaigns need to tie their outcomes to broader goals. Relying only on click-through rates or CPMs won’t cut it. Metrics that measure meaningful results, like driving sales or increasing customer retention, provide greater transparency than surface level data, like clicks or impressions. A continuous feedback loop between targeting and measurement ensures campaigns can be refined to better align with business objectives. This feedback helps marketers understand who they are targeting and how those audiences are driving key business results. Shifting focus to metrics that resonate with stakeholders ensures that marketing efforts are evaluated based on their true contribution to the company's objectives. "The television industry has access to more data than ever before, and at Samsung Ads, our ACR technology helps us provide valuable insights about what content and ads are being viewed. This abundance of data enables us to support clients in aligning their campaigns with business objectives effectively."Justin Evans, Samsung Ads 3. Personalize experiences to boost engagement Personalization drives stronger customer relationships by delivering tailored experiences to individual customer needs. Using data-driven insights to fine-tune offers and messaging makes interactions more relevant, strengthening brand loyalty. Combining behavioral, lifestyle, and transactional data provides a comprehensive understanding of the customer journey and ensures each touchpoint feels personal. Testing and iterating on personalization strategies also helps identify which data and approaches yield the best results. Scaling these efforts means customers receive the right messaging at the right time, and businesses see better outcomes. "Every business should be building a data strategy that thinks about the different versions of data that exist and how they bring that together. They don't necessarily need to own all of it but have a clear rationale and strategy about where you're using which data sets."Paul Frampton, CvE 4. Utilize advanced measurement tools for smarter decisions Improving the effectiveness of campaigns starts with using sophisticated measurement tools to gain actionable insights. Using analytics like brand lift studies, foot traffic analysis, app download tracking, incrementality, and share of search allows marketers to understand the full impact of their efforts. With these resources, teams can pinpoint what’s working, make real-time adjustments, and refine their approach. This adaptability ensures budgets are used as effectively as possible. Learn how Swiss Sense measured marketing outcomes using Mosaic® "We are playing a leading role in democratizing new tools for local advertisers. By mimicking the marketing funnel mentality, we've introduced solutions ranging from measuring brand lift to tracking foot traffic and app downloads."Luc Dumont, Madhive 5. Adapt quickly to stay competitive The only constant in advertising is change. Adapting quickly to new technologies and consumer behaviors keeps businesses competitive. A culture of agility fosters innovation, making it easier to respond to industry shifts and discover new opportunities. Companies that anticipate change and invest in modern data solutions position themselves for long-term growth. Whether it’s adjusting to privacy updates, exploring emerging tech, or staying flexible, businesses must continuously invest in adapting their platforms and strategies. "Falling behind is not really an option. There's always a change in advertising and in data where there's a new horizon. The people who stay close to that and innovate will always follow it."Amelia Waddington, Captify Shaping the future Building meaningful consumer connections requires advertisers to combine robust data strategies with flexibility and innovation. By focusing on these five considerations, marketers can adapt to today’s challenges while preparing for what’s ahead. Connect with our experts Latest posts