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
Twenty years ago this week, the first mobile text message, or SMS, was sent by British engineer Neil Papworth. Today, Americans are texting more than ever and among young adults, many of whom were not yet born when the first message was sent, texting is almost as common a mobile activity as talking. And why wouldn’t it be? According to the latest Simmons National Consumer Study, 48% of adults ages 18-to-24 say that a conversation via text message is just as meaningful as a telephone call. A similar share of adults ages 25-to-34 feel the same way. Regardless of age, texting is still, technically, the second most common activity that Americans engage in on their cell phone after talking. During a typical week, 95% of mobile adults talk on their mobile phone, while 59% text. Among adults ages 18-to-24, however, 89% talk on their phone and 85% text. Despite the increasing availability of mobile chat or instant message applications, texting remains the dominant means for exchanging short messages. Only 8% of all mobile adults use their phone to IM or chat. The fastest thumbs To get a more in-depth understanding of the texting habits of adults today, we leveraged data from the Simmons Connect mobile panel of 1,485 U.S. smartphone owners. Hands down, young adults text more than any age other age group. During a typical month, in fact, smartphone-owners ages 18-to-24 send 2,022 mobile text messages and receive another 1,831 for a combined total of 3,852 texts sent and received. With every age bracket we move up, the number of mobile texts drops by roughly 40%. For instance, smartphone owners ages 25-to-34 send, on average, 1,110 text messages a month and receive another 1,130 for a combined total of 2,240 messages. We are also able to leverage the Simmons Connect smartphone panel to understand mobile calling behaviors. The data shows that while young adults hold the record for the most text messages sent and received, they actually make and receive few calls, by comparison. During a typical month, smartphone owners ages 18-to-24 make 119 calls on their mobile phone and answer another 64 calls. Adults ages 35-to-44 make and receive the most calls on their mobile phones in a given month. (Call counts do not include inbound and outbound calls that go unanswered.) Text around the clock Unlike television and radio, which have peak hours for reaching consumers, mobile text messages reach Americans throughout the day, providing advertisers with a medium to connect with consumers any time they want or need. No surprise, young adults are the most likely to send and receive mobile text messages throughout the day. The smartphone panel data shows that during every hour between 8:00 A.M. and midnight, more than half of young smartphone owners are both sending and receiving mobile text messages. Even when most of us are asleep, young adults’ smartphones continue buzzing from inbound texts. In fact, 37% of 18-to-24 year-old smartphone owners receive texts at 4:00 in the morning. By comparison, just 20% of smartphone-owners ages 25-to-34 years-old receive texts at this late (or early) hour as do 17% of those 35-to-44, 15% of those 45-to-54 and 10% of those ages 55 and older. Better to send or to receive? During overnight hours, the share of young smartphone owners who send texts surpasses the share who receives them. However, by 8:00 A.M., the difference between those two figures narrows to the point that they are nearly equal. In fact, from noon until 11:00 P.M., young adults are more likely to send mobile text messages than they are to receive them. Call or text? While texting is still a secondary use of mobile phones after calling, that’s not the case all day, especially among young adults. In fact, while smartphone owners ages 18-to-24 are more likely to make an outbound call than they are to send a text from their phone between 7:00 A.M. and 10:00 P.M., they are more likely to send a text between 11:00 P.M. and 6:00 A.M., during hours when they might understandably wake the recipient. That should help us all sleep a little better.
Black Friday online traffic increased 7% in 2012 versus 2011 as the top 500 retail sites received more than 193.8 million total US visits. So far this Holiday week of online traffic to the top retail sites is up 10% on average. Online retail traffic was up 1% on Black Friday compared to Thanksgiving Day 2012 traffic this year. Amazon.com remained the top visited retail site on Black Friday while Walmart was the second most visited retail site. BestBuy moved up to the 3rd most visited site while Target was the 4th most visited site. JC Penney moved up from being the 8th most visited retail site on Thanksgiving Day to the 5th most visited on Black Friday. Among the top 5 sites, JC Penney saw the biggest day-over-day growth at 26%. Looking at the top 20 retail sites on Black Friday, the Apple Store site saw the biggest day-over-day growth at 99%. Check back for CyberMonday insight and a weekly recap of this week. Learn more about the author, Matt Tatham
A few months ago, during a conversation with the Simmons team at Experian Marketing Services, we started talking about how Hispanics are influencing the mainstream. Someone threw out the “salsa outsells ketchup” anecdote we’ve all heard, and we realized that it was time to stop reusing the same examples and start trying to really prove whether or not this influence is happening. Not long after, the Latino Influence Project was born. The study leverages a custom analysis of data from the Simmons National Hispanic Consumer Study, which measures over 48,000 respondents across 60,000 variables, including language, demographics, brand preferences, attitudes, lifestyles and even political outlook. Not surprisingly, the data showed that non-Hispanics who live in high-density Hispanic neighborhoods behave, buy and believe more similarly to Hispanics than non-Hispanics living in low-density Hispanic neighborhoods, even after controlling variables such as geography, education, income, age and other factors. Some of our findings reinforced what we expected to see. For example, the data shows that non-Latinos living among Latinos: Consume and enjoy more Hispanic products, including food, music and sports. They are 5.5 times more likely to eat jalapeños and are 6 times as likely to listen to and enjoy salsa and merengue. Enjoy standing out in the crowd and being fashionable. They are twice as likely to say they like to stand out from the crowd and 70% more likely to experiment with new clothing styles. However, we were surprised to see that the Latino influence on the mainstream extends far beyond just food, sports and fashion. Non-Latinos living among Latinos also: Lead the way in technology. They are twice as likely to use their cell phones and the Internet for information and entertainment. Eat less processed food. They are twice as likely to look for organic and natural when shopping for food. Are environmentally conscious. They are twice as likely to buy recycled products. The growing Hispanic population together with the influence they are exerting on non-Hispanics that live around them means that our whole notion of “general market” is changing, and will continue to evolve. We think that’s pretty cool. To find out more about the Latino Influence Project and learn more about what we found (and what we think it all means), please join the Webinar being hosted by Wing and Experian Marketing Services on Thursday November 29th, 2012 at 2:00 EST. You can also download the Latino Influence Project report. Holly McGavock is Wing's Director of Planning, where she helps brands like Olay, Downy, Red Lobster and Radio Shack, among many others, connect with Latino consumers.