
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

With the growth of digital marketing and the targeting capabilities associated with online outreach, many predicted that this would mark the end of direct mail advertising. But if Millennials have anything to say about it, that’s not going to happen anytime soon. Yes, believe it or not, Millennials are driving the resurgence of direct mail advertising, and many leading brands are now pivoting their omnichannel marketing plans to include direct mail. And with the USPS reporting more than 75.7 billion in marketing mail volume in 2019, this trend shows no sign of slowing down. Including direct mail in your plans may give your brand a better chance of reaching your audience. Why? 1. Millennials actually like getting mail.While most of us have decried “junk mail” as being environmentally unfriendly or just a pain to deal with, Millennials actually enjoy physical mail. Valassis recently cited research from USPS Customer & Market Insights stating that Millennials spend the most time sorting mail (about six minutes compared to the average, which is four minutes), plus they’re opening mail and reading it (at eight minutes versus the average of seven minutes). Valassis also conducted a study that showed that 68% of Millennials read print ads or inserts from retailers, and 64% prefer getting them through the mail. So, while digital outreach may be convenient, it hasn’t completely decimated the desire for that old-school, hands-on experience of opening and reading something that’s addressed to you. 2. Millennials respond to a multi-channel approach.Oftentimes, marketers think of omnichannel as being a combination of digital and TV, but when you add print into the mix, it can make an even bigger impact on Millennial audiences. Valassis found that 60% of consumers are more likely to make a purchase after seeing an ad when it’s presented across both offline and online channels, while 72% of Millennial parents say print ads encourage them to go online and make a purchase from that retailer. 3. Millennials think physical mail makes for a more personal approach.You’d think that e-mail would feel more personal, but with the influx of spam most people get, that’s just not the case. In fact, 67% of people see physical mail as being more personal than an e-mail, with seven out of 10 saying they prefer receiving actual mail over digital mail. And for marketers looking to make a one-to-one connection, this is music to their ears. With changing marketing plans, the mailbox has less competition than the inbox. Getting a catalog at their door with the perfect offer at the perfect time helps the marketer make the direct connection. 4. Direct mail lasts longer than digital mail.That may seem like an obvious statement, but there’s more to it than you think. When an e-mail arrives in someone’s inbox, it’s easy to ignore it, read the subject line and forget about it, or even just randomly delete it, if spam filters don’t take care of that on their own. But the average lifespan of a piece of direct mail is 17 days, which may account for how direct mail generates purchases five times larger than e-mail campaigns. It’s harder to ignore when it’s in your house and you have to physically handle it as opposed to just clicking a mouse to get rid of it. 5. Millennials trust direct mail.It’s true—research shows that 90% of Millennials think direct mail advertising is reliable. Plus, Millennials are 24% more likely to show mail to others, compared to 19% of non-Millennials… which means if they find a deal they like in the mail, they’re probably going to spread the word. Visit our Retail Marketing Solutions page to learn more about how we can help you find new customers and have more meaningful engagements with existing ones.

As the nation slowly works its way up to full speed, it’s undeniable that the landscape has changed dramatically for every brand—especially when it comes to marketing and advertising. Many are looking for new ways to better connect with customers to meet their needs and encourage their continued patronage and loyalty, while others are attempting to reach out to a whole new audience who may not have known about them pre-pandemic. But even as brands are eager to get back to normal—whatever the new normal is—much like consumers, they’re faced with an uncertain future that may be affected by new financial restraints. For marketers looking to make a big impact on their bottom line, now is the time to consider pivoting advertising efforts to advanced TV (Connected TV/OTT and addressable TV). While traditionally cost prohibitive for many brands, the pandemic has greatly changed the availability of TV advertising. TV advertising is now more affordable than ever, opening up opportunities to brands who may not have had the ability to include it in their previous marketing plans. Whether it was due to the cancellation of live events or the delay of basketball season, or just general skittishness that’s keeping other brands from spending money on TV advertising, their pivot is to your benefit. There’s no question that consumers’ attitudes toward brands will have changed during the pandemic, which means they might need to be reminded of your brand and what it has to offer. There may be some who are seeing your brand for the first time, or for the first time in a long time. The good news is, people are watching TV now more than ever before. According to Experian’s Consumer Sentiment Index, television consumption is up 41% from mid-May to mid-June. Cable TV viewership has seen a 22% increase over the same period of time, showing that consumers are still connected to traditional TV viewership. Another reason why now is a great time to make advanced TV part of your marketing plan. While many states are still rolling out their re-opening plans, many consumers are still working from home, and the job landscape is still firming up. That means your customers will still be passing the time at home as the landscape continues to shift and change, and their attention will likely be directed toward their TVs. Plus, with consumer spending starting to rebound, you can benefit from this directed attention in a new medium. And consumers aren’t just watching TV on their televisions. Smartphone use is up 41% over last month, as is desktop/laptop use at 38%, and tablet use at 21%. And, when they’re not watching their favorite show on their phones, computers or tablets, they’re visiting advertiser websites and using apps more heavily. This means that brands can supplement their TV advertising with an omnichannel approach to ensure their consumer can connect with them through any device they’re using. All of this may sound intimidating to brands who haven’t previously advertised on TV or executed an omnichannel campaign, but rest assured that the power of data can help make the experience fairly seamless. A data-driven marketing strategy can help brands better understand their audience, including demographics, lifestyle, behavior and attitudes—as well as their preferred engagement channels. This helps ensure that your message resonates and is seen on the devices and channels your audience frequents most. With Experian’s 50+ years of experience with consumer data, you can rely on us to help you execute a data-driven advanced TV campaign that targets the right audience with your message. And we collaborate with all TV operators and have connections with many industry media partners, so you can choose exactly where you want your outreach to go. Find out more about how Experian’s Advanced TV capabilities can help you have more meaningful interactions with people: https://www.experian.com/marketing-services/television-advertising.

Retailers have always known that building a loyal customer base is the key to success. But whether they’d successfully done so or were still working towards their customer loyalty goals in Q1 of 2020, the global pandemic changed everything. With shoppers shifting purchasing habits almost solely online, retailers with an established online presence were able to navigate stay-at-home orders and other business restrictions. As of June 9, 2020, according to Experian’s Consumer Sentiment Index, half of Americans (47%) are buying more online than they did in the past. So those who previously relied on their brick and mortar business may have had difficulty staying afloat. Undeniably, the landscape has shifted dramatically, and it’s about to do so again as stay-at-home orders are lifted and retailers are being given the green light to re-open, albeit with guidelines and restrictions they’ve never faced before. With so many different messages that need to be shared, and the need to stand out among thousands of other retailers working to grab the attention of the same audience, mobile location data is an important tool in a retail marketer’s arsenal. For example, so much of the in-store experience moved online at the start of the pandemic. As a result, a lot of consumers have gotten comfortable with that format and may be apprehensive about the in-store experience, especially with all the changes required for re-opening. Using mobile location data, retailers can identify audiences that are more likely to return to in-store visits, and tailor messaging to address their questions and concerns to encourage their patronage. They can effectively communicate information surrounding the rules for in-store shopping, including face masks, social distancing, how they plan to protect their clientele, and more. If, after sharing their re-opening information, retailers find customers aren’t coming to them but are instead visiting competitors, mobile location data can help them determine consumer patterns based on competitor shopping to gain a greater understanding of why they’re shopping elsewhere. Using this information, retailers can adjust their outreach to better speak to their target customer and their needs, and encourage their visit with more relevant messaging. And of course, there will still be some customers who feel more comfortable continuing with online shopping. Mobile location data can also assist brands in identifying those audiences so that they can adjust their communications strategies and messages accordingly. Meanwhile, many retailers have shifted from a buy online pick up in store (BOPIS) model to buy online pick up at curbside (BOPAC), both for convenience and safety. As restrictions lift, some will soon be shifting back to BOPIS. Mobile location data can help you determine if this is a more preferred method of shopping by analyzing consumer behavior. If customers aren’t ready for an in-store visit but still have needs that could be met by a particular retailer, that brand can create messaging that supports their desire to do their shopping online and pick up their purchase—whether they come inside or opt for curbside pickup. The more retailers know about their customer’s habits, behaviors and interests, the more they can address their needs and concerns with personalized messaging that can make an impact. Additionally, because so much of life moved online during the pandemic, consumer data may be even more fragmented than before, with their attention spread across multiple devices and channels. Using mobile location data—in combination with demographic and psychographic data—retailers can learn more about consumer behavior, including stores visited, shopping preference insights, hobbies, and more. While the retail industry is facing incredible challenges in the wake of unprecedented change, the right data can help them bridge the gap between where they were, and where they want to be—especially when it comes to nurturing consumer connections. And as retail marketers work on new messaging that shares their unique plans for re-opening and emerging post-pandemic, how that communication is delivered, and who it’s delivered to, could make all the difference in a successful re-opening plan. Contact us today to find out how more about Experian’s retail marketing solutions. And be sure to check out our other retail blog posts as well.