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
Experian Marketing Services pinpoints rising social network sites in new study – Instagram and Pinterest lead the pack According to a new study by Experian Marketing Services, niche social networks significantly increased their market share of all visits to social sites, with Instgram and Pinterest leading the pack. The following graph illustrates the global growth between July 2011 and July 2012, based on share of visits to all sites by country: Social site North America Australia Hong Kong New Zealand Singapore UK Instagram 17,319% 362% 132% 843% 8121% 2028% Pinterest 5124% 798% 2373% 643% 623% 1489% Other niche social networks that have experienced significant gain include Stock Twits in the US, Redidt in Australia, and FanPop in the UK. According to Bill Tancer, head of Global Research at Experian Marketing Services, the growth of Instagram and Pinterest over the past year has been successful because they haven’t tried to be ‘another Facebook.’ Both networks are image based – something people love and relate to better than just words. For retail brands, sites like Pinterest present a great opportunity to promote products in a compelling and organized way to a wide group of people, globally. Deeper functionally, combined with a lower technical barrier to entry, will result in new leaders in social media being created, accepted and used within a matter of days – compared to the rate of adoption happening now over the course of weeks and months. Also included in the study for July 2011 to July 2012: Country Social network Description Percentage increase of market share of visits to All Sites between July 2011 to July 2012 North America www.skillwho.com Social networking community which allow users to find people with skills from friends, friends of friends, local area or the community. 7435% increase http://stocktwits.com StockTwits is an open, community-powered investment idea and information service. 943% increase Australia www.reddit.com Site where users vote for what is popular or not. 177% increase Brazil Google+ Google+ integrates social services such as Google Profiles, and introduces new services identified as Circles, Hangouts and Sparks. 5750% increase New Zealand www.reddit.com Site where users vote for what is popular or not. 107% increase Singapore https://steamcommunity.com Community site that assists users in finding games to play, people to play against, and serves as a meeting place for friends and team mates. 124% UK Google+ Google+ integrates social services such as Google Profiles, and introduces new services identified as Circles, Hangouts and Sparks. 476% http://www.fanpop.com Network of fan clubs for fans of television, movies, music and more to discuss and share photos, videos, news and opinions with fellow fans. 178% What social networks do you use most frequently? Do the results of this study surprise you at all? Feel free to share your thoughts with our readers in the comments section below.
The Republican and Democratic parties are gathering in the coming days to officially launch the Presidential campaigns of Mitt Romney and Barack Obama. In doing so, the candidates, the parties and their support groups will unleash unprecedented amounts of cash in an effort to influence American voters through advertising, much of it on TV. As such, Experian Simmons has released a new list of the top 20 television programs for reaching party loyals as well as three key swing voter segments. The segments come from the PoliticalPersonas consumer segmentation system, which classifies U.S. adults into one of 10 unique segments based on the individual’s political outlook and party ID as well as their attitudes and opinions towards key topics. The segments we will focus on in this post include the Super Democrats and Ultra Conservatives segments, which represent the most party loyal voters for Democrats and Republicans, respectively. We will also profile the TV preferences of three important swing voter segments during this election cycle, including: Mild Republicans, On the Fence Liberals and Green Traditionalists. For more information about the PoliticalPersonas segments, download the PoliticalPersonas Report. The shows in each list include those cable and broadcast TV shows with the highest concentration of viewers from each segment. For example, The Daily Show with Jon Stewart on Comedy Central has the highest concentration of Super Democrats of any non-news cable or broadcast show on TV. Likewise, Rules of Engagement on CBS has the highest concentration of Mild Republicans. Candidates, political organizations, and even traditional advertisers trying to connect with any of these voting segments would be wise to consider advertising on the programs listed below. For more information on PoliticalPersonas, watch our Webcast.
Marketers have always struggled to target the right consumer with the right offer. And with more than 313 million people live in the United States according to the U.S. Census, the challenge is more difficult than ever. With the proliferation of the Internet and mobile technology, today’s consumer operates differently and expects more from their favorite brands. To adapt to that new American consumer, marketers are using highly targeted strategies to drive interest. These can be messages that are relevant to a few hundred consumers or detailed one-on-one communications that target individuals at the point of sale or online. But some marketers struggle to execute these tactics effectively. Most segmentation is currently done prior to a campaign, meaning that marketers determine which message a consumer will receive before ever interacting with that individual. Unfortunately, with the rapid nature of purchasing decisions and buying transactions, businesses often miss opportunities because it takes too long to get the right message to the right consumer. To keep up, marketers need to collect intelligence at the point of contact so they can understand each individual consumer’s habits and preferences during that connection. This intelligence can then feed modeling algorithms that enable automatic offers based on an individual’s preferences. To develop a strategy around real-time marketing intelligence, marketers should take the following steps: Clean existing data – at the root of any intelligence strategy is data. Information determines a company’s ability to reach target individuals – and understand who they are and what they’re interested in. Unfortunately, if the data that feeds intelligence efforts is inaccurate, marketers are simply unable to communicate with or understand consumers. Ensuring the validity of contact information, internal records and third-party data elements helps organizations target consumers and ensures that sophisticated analysis is as precise as possible. Identify strategies – organizations should analyze their target markets and determine which communication channels could benefit from a more personalized customer experience. Marketers should decide how they want to change each communication to help drive the desired action from each consumer. Consider personalizing website displays based on geographic regions, customizing an introductory message or revamping loyalty campaigns based on purchase history and consumer interests. Real-time intelligence – marketers should build models to help predict the best offers for each target audience. These models can be designed to take into account demographic and behavioral information, as well as purchase history and internal data. Marketers can feed these models with intelligence gained at the point of contact to prompt consumers in real time with specific, relevant offers. As marketers continue to enhance and refine targeting efforts, it’s important to gain customer insight. Those who leverage these advanced technologies and strategies will create stronger customer engagement. Segmenting customers and taking measurable action in real time are advanced techniques that appeal to many marketers today. Achieving this level of interaction allows organizations to optimize marketing efforts and provide the right offer at the right time to the right consumer.