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 campaigns applied to seven major holding companies, Tapad continues to see healthy adoption with The Trade Desk clients NEW YORK, NY – August 23, 2017 – Tapad, now a part of Experian, the leader in cross-device marketing technology, today announced its ongoing momentum with The Trade Desk, Inc. (Nasdaq: TTD), a global technology platform for buyers of advertising. Tapad is providing cross-device segments from the groundbreaking Tapad Device GraphTM through The Trade Desk’s platform. Since 2015, Tapad has seen steady growth in the use of its cross-device data across The Trade Desk platform. This forward progress continues, as 1H2017 saw important milestones for Tapad. Seven major private and independent holding companies now apply Tapad’s data to their campaigns, in addition to more than 1,500 unique brands. Tapad’s proprietary Device GraphTM connects billions of devices, providing unified and insightful data for brands, agencies, and marketers across the globe. Several of these clients, representing varying industries from financial, to auto, CPG and retail, apply Tapad’s data across a number of key tactics and strategies, including: first party CRM extension, third party audience extension, cross-device retargeting, cross-device frequency management, and more. Clients in these verticals continue to rely on Tapad’s cross-device data, as Tapad saw the amount of usage by financial and retail clients grow by four times over the past year, and double for automotive and CPG clients. “We are pleased to offer our clients access to Tapad’s device graph”, said David Danziger, VP of Data Partnerships, The Trade Desk. “Their cross-device identification capabilities have been a powerful addition to our omnichannel platform.” “This integration is a shining example of the amplifying effect of two of the best platforms working together,” said Chris Feo, SVP of Global Partnerships at Tapad. "Clients leveraging Tapad's Device Graph in The Trade Desk platform have the potential to see higher returns and reach with access to substantial cross-device data, as well as a very effective media platform." Contact us today!
Tapad Device Graph™ and Sojern’s mobile offering unify travel intent signals; achieve amplification rate of more than 600 percent NEW YORK, June 15, 2017 — Tapad, a part of Experian, the leader in cross-device marketing technology, is partnering with Sojern, travel’s direct demand engine, to provide marketers with an even stronger understanding of travelers as they research and shop across multiple devices. Combined with its 350 million global traveler profiles and billions of predictive purchase intent signals, Sojern utilizes the Tapad Device Graph™ to resolve the complex travel consumer journey, target travelers more precisely, and derive more actionable insights for its travel clientele. According to Sojern’s research, travelers visit hundreds of websites preceding their trip purchase, with some consumers reaching upwards of 450 touchpoints prior to booking. Sojern’s partnership with Tapad will help unify these touchpoints across devices, enabling travel brands to more effectively nurture and engage potential buyers during the purchase process, regardless of which device they use. “Sojern’s been focused on travel for over a decade, helping brands activate predictive purchase signals and leverage our traveler profiles into effective performance marketing campaigns,” said Mat Harris, Sojern’s VP of Product, Enterprise Solutions. “The cross-device insights we gain from the Tapad Device Graph provide a valuable tool for our customers to reach travelers across devices in real-time and at scale, on the right device.” Prior to selecting Tapad as its cross-device partner, Sojern surveyed several probabilistic and deterministic cross-device vendors and performed an extensive global test. The test was an examination of scale, match rate and several other factors, which enabled Sojern to learn as much as possible about each vendor. After examining the final test results, Sojern selected Tapad based on its excellent test performance, tried-and-true experience in the market and complimentary business model. To date, Sojern has already seen an amplification rate of more than 600 percent as a result of the integration, meaning that the Tapad Device Graph is connecting an average of six or more device and browser IDs for every one existing Sojern ID. “Not only is Sojern a compatible partner for our singular Device Graph capabilities, but they are also an incredible data partner to help expand our work in the travel industry,” said Pierre Martensson, SVP and GM of Tapad’s global data division. “Working with the team at Sojern allows us to solve a true challenge within the travel industry today: creating a unified view of customers so travel brands can better understand and access their key audiences at every point along their path to purchase.” Contact us today!
Leading data insights and cross-device-powered services bridge mobile insights with connectivity to drive real-time consumer intelligence NEW YORK, May 17, 2017 /PRNewswire/ — Tapad, now a part of Experian, the leader in cross-device marketing technology, has partnered with Resonate, a leading provider of real-time consumer intelligence and activation SaaS solutions. Through this partnership, Resonate will leverage the Tapad Device Graph™ to capture a deeper understanding of its mobile app audiences and provide brands with a more direct connection to their intended consumers. The integration of Resonate and Tapad's technologies equips mobile app brands with insights into their consumers' values, beliefs, motivations and purchase drivers. As a result, mobile app brands will better understand how to tailor messaging, drive advertising engagement, increase lift in performance across mobile consumers and ultimately boost revenue and returns. Utilizing the advanced data that the Tapad Device Graph™ provides, Resonate will create an Identity Service that connects mobile IDs to Resonate IDs for reporting insights both in-platform and out. To date, Tapad and Resonate have already driven incremental device connections for nearly 60 percent of customer profiles with an amplification rate of more than 120 percent, resulting in more than 400 million net new IDs within Resonate's user base. "After testing multiple partners over the course of 12 months, it was clear that Tapad was the partner for us, given their ability to provide cross-device connectivity for more than one billion unique IDs against our consumer base," said Joel Pulliam, SVP and chief product officer at Resonate. "In addition, Resonate customers have an inherent trust in Tapad's mix of probabilistic and deterministic mobile connectivity data to provide a unified understanding of their mobile audiences." "Partnering with Resonate will not only provide its brands with a more in-depth and actionable understanding of its consumers, but it will also allow our clients to connect with mobile consumers on a deeper level," said Pierre Martensson, SVP and GM of Tapad's global data division. "Resonate is not just answering the question of 'how' consumers are making purchases, but also tackling the more difficult question of 'why' they make certain buying decisions to best inform mobile brands about their audiences." Contact us today!