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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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This holiday shopping season, marketers will look to take advantage of the surge in spending across channels like connected TV (CTV), programmatic, and mobile. Despite challenges such as privacy regulations and Google's new cookie deprecation plan, this moment presents a unique opportunity for marketers to reshape their traditional approaches to consumer engagement and capitalize on these changes. As we approach the holiday season, understanding how consumers spend, where they shop, and how their shopping habits are changing are key components to consider when crafting your holiday advertising campaigns. Our 2024 Holiday spending trends and insights report utilizes our expertise in data and insights to highlight emerging consumer behaviors and spending patterns. In our report, we share what these trends mean for marketers and how Experian can help, so you can refine your messaging and target the right audience through the best channels. In this blog post, we cover three insights from our report. Watch our video for a recap below. 1. Consumers are shopping evenly throughout the holiday season 35% of holiday shopping was done in December, peaking at 9% of total holiday sales the week before Christmas. Cyber Week, the five-day period between Thanksgiving and Cyber Monday, and the week before Christmas brought the highest weekly sales for the past two holiday seasons. What this means for marketers Prepare for an extended promotional period. Schedule your marketing campaigns and sales initiatives to maximize impact during the extended season, focusing on the peaks of Cyber Week and the week before Christmas. How Experian can help you target these shoppers Experian's data, ranked #1 in accuracy by Truthset, offers advertisers the ability to reach people based on demographic, geographic, and behavioral attributes (e.g. websites visited and purchase history). Our audiences are available on-the-shelf of most major platforms, making it easy for you to activate and target holiday shoppers. We recently released 19 new holiday-focused audience segments. Here are a few you can activate: Black Friday Shoppers Cyber Monday Shoppers Big Box/Club Store Shoppers Luxury Gift Shoppers Discount Holiday Shoppers Holiday Airline Travel 2. Online shopping is leveling out Online holiday spending continues to remain around a third of all holiday shopping spending. We are starting to see online shopping slow and level out – people are going back in-store. The high amount of online shopping we saw during the pandemic is starting to return to pre-pandemic behaviors. Consumers are spending more in-store at department and discount stores but are shopping online for office/electronics/games, mass retailers, and apparel. 84% of holiday shopping was done in-store for discount stores. 79% of holiday shopping was done in-store for department stores. 64% of holiday shopping was done online for office, electronics, and games stores. What this means for marketers Digital and physical experiences work together. Retailers should have a multi-channel plan to reach consumers, tailoring their approach to their target audience and product and creating engaging in-store experiences to drive visitors. How Experian can help you target and measure across channels We connect online and offline data to enable precise targeting and measurement of marketing efforts across multiple channels. Read our case study with Cuebiq to learn how they used our Activity Feed solution to deliver in-store lift analyses to their clients. 3. CTV is the top channel to reach consumers Over two-thirds of the U.S. population now use CTV, and the average time spent among adults is expected to surpass two hours per day in 2024. CTV offers a creative ad experience similar to its linear counterpart but provides more sophisticated targeting and analytics capabilities. What this means for marketers As CTV viewing continues to dominate, the importance of cross-device targeting and measurement increases. How Experian can help you reach shoppers across devices Later this year, we’ll add support for IPv6 in our Digital Graph as well as phone-based UID2s. This is in addition to our current coverage of IPv4 and email-based UID2s. As a result, all IP signals and UID2s will be resolved back to Experian’s household and individual profiles and their associated devices, which means marketers and platforms can better understand the full customer journey and reach people across their devices. Download our 2024 Holiday spending trends and insights report This holiday season is about more than just transactions – it’s about cultivating meaningful connections with your audience. Download our 2024 Holiday spending trends and insights report to access all of our predictions for this year's holiday season. Download now When you work with Experian for your holiday shopping campaigns, you're getting: Accurate consumer insights: Better understand your customers' behavioral and demographic attributes with our #1 ranked data covering the full U.S. population. Signal-agnostic identity solutions: Our deep understanding of people in the offline and digital worlds provides you a persistent linkage of personally identifiable information (PII) data and digital IDs, ensuring you accurate cross-device targeting, addressability and measurement. Secure connectivity: Bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing the integrations we have across the ecosystem, and using our marketing data in flexible ways. Make the most of this holiday shopping season with Experian. Contact us today to get started. Contact us 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 Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts

Experian is excited to announce a solution tailored for retail media networks (RMNs). This offering enhances RMNs' strength in first-party shopper data by using Experian’s #1 ranked identity and audience services. Experian’s solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue. Helping RMNs maximize revenue with audience and identity solutions As traditional brands continue to harness their rich first-party data, retail media has exploded as a new category for marketers to reach high-value audiences. Understanding the challenges RMNs face – such as expanded audience insights, cross-platform reach, and programmatic addressability – Experian’s solution transforms these challenges into lucrative opportunities. By partnering with Experian, RMNs will learn more about their customers, reach their customers beyond their owned and operated platforms, and show return on ad spend (ROAS) as customers move from ad exposure through to purchase. Solutions to drive growth As retail media continues to evolve with new players entering the space and existing players strengthening their positions, success depends on having a comprehensive understanding of your customers and effectively monetizing that knowledge. Experian’s solution – from identity and audience foundations to scaling inventory – offers several benefits to help RMNs grow their revenue: Identity resolution: While every RMN has a unique set of authenticated first-party data captured offline (e.g. personally identifiable information) or online, it only provides the RMN with a handshake tied to a subset of that customer or household’s addressable identity footprint. By partnering with Experian, RMNs will better understand their customers across the offline and digital worlds by utilizing the Experian Graph and our connection to 126 million households, 250 million individuals, and 3.8 billion digital IDs. Expanded insights: In addition to ensuring your data is clean and accurate, we can build detailed customer profile reports that help RMNs understand their customers beyond category buyers or purchase history. With actionable insights at your fingertips to enrich your customer profile, you can help advertisers precisely reach both your high-value customers and build accurate look-a-like audiences across both offline and digital channels. Create audiences: Enrich your first-party data with Experian Marketing Data – or our expanded network of Partner Audiences – to build custom segments for your advertisers to target. 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The results show that the addressability of their first-party shopper data increased by almost 300% across their owned and operated platforms and programmatic activation channels. The byproduct of expanded addressability is the persistence in reach and measurement of their audiences throughout the entire consumer journey. “Accurate data is the backbone of effective retail media strategies, and Experian’s top-tier data solutions are critical for precise targeting and audience delivery. Experian’s advanced capabilities in data onboarding, customer audiences, and robust identity graphs allow advertisers to seamlessly reach the right audiences.”Art Sebastian, CEO, NexChapter Inc. The Experian edge Experian powers data-driven advertising through connectivity. Here’s what sets us apart and ensures that your RMN is set up to win in this highly competitive and complex space: Persistent identity: We can help you find and reach your customers across the digital and offline world. Our deep understanding of people in the offline and digital worlds provides you with a persistent linkage of PII data and digital identifiers, ensuring you rich insights, accurate targeting across devices, improved addressability and measurable advertising. High-quality data: Better understand your customer's behavioral and demographic attributes with our #1 ranked data covering 126 million households, 250 million individuals, and 3.8 billion digital IDs. We will make sure your data is clean, accurate, and can be used how you want. Superior connectivity: We bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing our integrations across the ecosystem, and using our marketing data flexibly. Compared to the competition, Experian’s Third-Party Onboarding capabilities offer data providers a 50% increase in programmatic addressability and a 73% increase in CTV addressability. Partner with Experian to achieve retail media success Experian's comprehensive data and identity solutions can help RMNs maximize their opportunity. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance. Connect with a member of our team to learn how we can support your journey toward RMN success. Connect with us Latest posts