
In this article…
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.
Latest posts

The popularity of flash sale websites with limited time & inventory offerings have grown exponentially over the two years. Online shoppers’ love for the thrill of snagging designer clothing, home décor, travel and even wine have caused visits to the category to increase 368% in July 2011 as compared to the same month two years ago and 109% one year ago. So far in 2011, Nordstrom acquired HauteLook, Amazon entered the fray with MyHabit and recently Saks Fifth Avenue announced the launch of a dedicated flash sale website after offering sale events per week on Saks’ main website. In July 2011, Zulily.com, a website offering sales targeted for women and babies/kids, captured the highest market share of visits at 16%, followed by Ideeli and LivingSocial Escapes. Amazon’s MyHabit ranked 11th, out of the 87 websites in the custom category after only 2 months in operation. Several of the major players over the past six months, the total visits to Ideeli increased 42%, Gilt.com up 14% and Nordstrom’s Hautelook up 8% for July 2011 as compared to February 2011. Total visits for MyHabit jumped 128% for July 2011 as compared to May 2011 when the website launched. The audience for Flash Sales continues to be attractive, and willing to shop – over-indexing against the online population for household incomes over $100k and creditworthy VantageScores of A and B.

The annual back-to-school season is in high gear and Moms are preparing lists and sizing up their children’s clothing and school-related merchandise needs. It’s an important time of year for retailers, as apparel, shoes, electronics, furniture, computers, backpacks and school supplies will account for the bulk of consumer spending during the back-to-school shopping season. Many marketers have historically grouped the back-to-school audience into one collective segment of households with school-age children. This leaves money on the table because there are better ways to target Moms with kids when developing a back-to-school promotional strategy. Just like the inventory of new clothes and notebooks that retailers have neatly arranged on store shelves, families with school-age children come in an assortment of sizes, shapes and colors. What is the most effective way to segment the back to school audience? This begs the question “” Marketers can always turn to basic data elements for segmentation. These include age and gender of children, number of children in the household, parent’s age, household income, and the full spectrum of school classifications (preschool, elementary school, middle school, junior high school, high school, etc.). Though a more powerful approach would be to utilize a segmentation methodology that recognizes the lifestyle and behavioral differences among households that are most likely to contain school-age kids. Here are three snapshots of family-oriented, children-centric market segments that are highly likely to be responsive to a wide variety of back to school promotional offers. All three segments have been selected from Experian’s Mosaic lifestyle segmentation solution. Babies and Bliss Description: Babies and Bliss represent the premier lifestyle for large families in America. With a majority of households containing at least five people, this segment is a haven for large broods living in new suburban subdivisions. Parents in this segment tend to be in their 30s and 40s. There is a wide range of kids in these households, from preschoolers up to those in high school. There is also money in this segment, reflecting the high educations and low six-figure incomes that come from dual earners employed in professional and technical occupations. Some key traits of Babies and Bliss households include upscale tastes, large families, well-educated, conservative views, financially-savvy, convenience, and power shopping. Implications: Given their large families, it's not surprising that Moms from Babies and Bliss households are value-conscious shoppers who seek appealing deals for quality merchandise. They carry coupons, like to comparison shop when buying expensive items and head to the clearance rack first whenever they buy clothes, which tend to be conservative in style. In the mall, these Moms follow their children's lead but also remain very open to consider generic store brands rather than high-priced name brands. They like to shop (it's practically a sport) and are happy to open their wallets at department stores, specialty shops, catalogs and online sites. They especially pride themselves in being very Internet-literate. With their jobs, kids and errands, they appreciate the convenience of shopping online and are receptive to email ads, sponsored Websites and Web page links. Families Matter Most Description: A fast-growing segment, Families Matter Most consists of young, middle-class families in suburban locations leading active, family-focused lives. Nine out of ten households have kids (nearly two-thirds have multiple kids). These young, middle-class families have settled into a landscape of recently built subdivisions. Many adult household members are urban exiles who've sought a suburban setting with room for kids to grow. They are proud of their new homes, schools and shopping centers, where they can find everything they need just a short drive away. Families Matter Most distinguish themselves by having adopted attitudes and routines to help them effectively juggle the responsibilities of work and child-rearing. Some key traits of Families Matter Most households include sprawling families, family values, casual perspectives, price-sensitivity, credit revolvers, conformists and risk avoidance. Implications: Families Matter Most are casual in their attitude except when it comes to their children. They take their role as parents very seriously, which they describe in conservative terms. They avoid risks and feel little need to make a statement with their possessions. As shoppers, Moms from Families Matter Most households are price-sensitive consumers who look for discount stores that offer durable and comfortable fashion. They are worried about spending money impulsively and try to be informed consumers. Most are happy to wear last year's fashions and they tend to zero in on a few stores that carry the affordable brands they prefer. With their growing families they shop most often at discount and mid-market national chains including Target, Walmart, Kohl's, Toys R Us and Old Navy. Cul de Sac Diversity Description: Cul de Sac Diversity consists of ethnically diverse, middle-aged couples with school-aged children. This segment has an above-average concentration of Hispanic and Asian household members. Nearly one-third of Cul de Sac Diversity adult members are foreign-born. They are three times more likely to be bilingual compared to U.S. adults overall. These upper-middle-class households are well on their way to achieving the American dream. They believe in home and family, but also recognize the need to work to get ahead. They look at their work as a career, not a paycheck, and are willing to give up family time in exchange for the opportunity to advance in their careers. Some key traits of Cul de Sac Diversity households include ethnically diverse, bilingual, mainstream mindset, community-minded, tolerant and career-focused. Implications: Moms from Cul de Sac Diversity households like to shop with friends and family members in order to get everyone's opinions on potential purchases. As consumers, they often seek status and recognition through their possessions. They are attracted to designer labels and sometimes spend more on clothes than they can truly afford. They like going to mainstream retailers to shop for their children including Kohl's and Macy's as well as sporting goods chains such as Dick's Sporting Goods and Sports Authority. They are only moderately receptive to online advertising. Deploying a back to school marketing strategy that treats all households with school-age children as one undifferentiated market is like creating a basic lesson plan and applying it to all grade levels of a one-room schoolhouse. Instead, marketers are encouraged to study their target audience more closely. With key insights in hand, they will have acquired the necessary prerequisites for graduating to a strategy that acknowledges the shopping characteristics and needs of a diverse and potentially lucrative audience of back-to-school Moms and their children.

Segmentation Layering For many marketers, segmentation is like breathing – it comes naturally and is a part of everything they do. To better connect with your target audience, use a good segmentation system with multiple layers that provides a breakdown of essential information while tying in lifestyle and transactional data. Consider marketing to parents. The most basic information includes demographics such as age, income, presence of children, etc. Add to that lifestyle information – the family has two working parents who rely heavily on the Internet for research and purchase convenience. The transactional data can really set apart where a parent falls on the parenting lifecycle. For example, is the parent still purchasing diapers and feeding supplies for their infant or bedding, towels and a coffee maker that might indicate their “baby” is headed to college? Both parents may look similar when comparing demographic and lifestyle information but the transactional data differentiates their needs. According to Experian Marketing Services: Parents use the Internet far more than the average American Moms are 34% more likely to buy products online and 33% more likely to participate in a blog than the average adult. "Marketers are targeting more carefully based on both the parents' life stage and consumer behavior,” says Jan Jindra, senior product market manager at Experian Marketing Services. “Younger parents, and those of smaller children, have different information needs than parents of older or college-age children. It's not only the life stage they're in, but the lifestyle," Jindra says. Read the full article and check out the latest in marketing to parents in DMNews: http://www.dmnews.com/household-brands-observe-parents-needs-in-defining-segmentation-tactics/article/205902/.