
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

For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!

QSRs have emerged as superheroes during the pandemic, creating an entirely different consumer experience in record time by offering contactless delivery, curbside pick-up, and other innovations that have allowed them to stay open and operational when so many other businesses have shuttered. But as many states are still moving through their phased re-opening plans and more options become available to consumers, QSRs are challenged with keeping their momentum going. How can they continue to build on their success? The key is activation. Advertising on the right channels at the right time. The more QSRs can offer experiences that leverage the power of data to better speak to their customers and address their unique needs, the better chance they have of continuing to succeed in these unwieldy times. As we move into the fall and winter, and as more and more people look to QSR’s to help with their meal plans, consider the following: 1. Use data to create a more robust loyalty program. There’s no question consumers have plenty of QSRs to choose from and using a loyalty program is an excellent way to ensure they continue to view you as a preferred dining destination. But you might be surprised to learn how much of a difference it can make to your bottom line. PYMNTS reported that in 2019, Starbucks President and CEO Kevin Johnson shared how the company’s active mobile app rewards membership grew to 16.8 million users, which comprised 41% of sales in U.S. stores. The PYMNTS Restaurant Readiness Index also shows that 79.5% of QSR customers and 47.5% of QSR managers see loyalty programs as a feature that is important to a restaurant’s success. Now is a great time to review your loyalty program (or create a new one) and see if you can expand it to offer more perks, thereby enticing more customer interaction. A strong loyalty program should include a combination of your own customer data, enriched with third-party data for deeper customer insights, such as behavior, lifestyle and interests. 2. Make it easy for customers to order, purchase and pick-up with mobile ordering. Mobile ordering is no longer the wave of the future—it’s part of the new now. PYMNTS reported that Dunkin’ Brands CEO Dave Hoffmann noted on-the-go ordering experienced an average weekly sales increase of 25% year over year—and this growth was especially key in locations without a drive-through. For customers who want an easy option that allows them to order, pay and pick-up at curbside, mobile ordering is the ultimate in simplicity, and your data can help you determine who is most primed to take advantage of this option so you can push it directly to them. 3. Offer demographic and location-specific promos. The power of data can help you know a lot about your customers, from age and occupation to whether or not they have a family, how they spend their time, and how much of that time is spent at your competitor’s restaurant. This data can help you craft promotions that can speak directly to your consumer, ensure you’re advertising on the channels they prefer and frequent and get them in your door. When you know you cater to parents who are tired of a long day of homeschooling and work Zoom meetings, you can tailor and execute a promo campaign that speaks directly to their needs and deliver it to their preferred channel, encouraging them to skip cooking and order from you instead. Or maybe you have locations that are close to college campuses, allowing you to entice students with a two-for-one deal they just can’t pass up. And as offices start the slow process of opening back up, there’s an opportunity to welcome workers back to the neighborhood with a special curbside or delivery pick-up deal. 4. Ensure your customer knows your brand values. More and more, consumers are becoming conscious of who they spend their money with and why. As Longitude Design points out, this is something Ben & Jerry’s does exceptionally well, and their value message is spread across everything the brand does, from their scoop shops to their store-bought pints to their company-branded events. This is your opportunity to share what you value as a company and a brand, and how it aligns with your consumer’s lifestyle. Is your food sustainably sourced? Is your packaging environmentally friendly? Be transparent about your supply chain, share how you care for your employees, give some insight into the prep process behind your food, as these insights will help your consumer gain trust in you, which in turn creates loyalty. Social media is a great way to get the word out about your value-based operational initiatives. To learn more about how you can use data to build on and enhance the new customer QSR experience, visit our Restaurant Marketing Solutions page.

Healthcare marketers: Open enrollment starts November 1st. Are you ready? It’s that time of year again—time to promote your insurance plans to existing and potential members ahead of open enrollment. But do you know your members beyond the basics? Sure, you know their name, address, phone number and email address, but do you know what communication channels they prefer? Do you know their lifestyle, behaviors and interests? In order for member communications to be effective, they need to be data-driven—first and foremost. The problem is, the industry is fragmented—and so is its data. With individuals covered by both private and public insurance plans—many payers don’t have access to a complete and accurate view of members and their respective data. And as the industry continues to move toward digital transformation and embraces automation, organizations that aren’t leveraging data insights are in danger of missing out on the opportunity to create a more solid connection with members. Partnering with a third-party data provider like Experian to enrich your first-party data is the answer. With a reliable source of data, health plans can more easily identify members, deduplicate their profiles, and leverage accurate contact information and communicate on a personal, relevant, empathetic level. Here are 5 ways to attract new members and retain existing members: 1. Create more accurate personas for marketing needs: Whether we use your data or combine yours with ours, you can gain stronger member analysis for segmentation and modeling that can help you maintain current relationships or expand your outreach to acquire new members—and ensure the loyalty of both categories. 2. Ensure the accuracy of member data: With Experian’s identity and data solutions, you can rest assured that your member database is accurate and up to date to maximize contact rates and minimize errors. 3. Build strong communication channels with your members: Optimize your advertising efforts through preferred channels—and identify those communication channels—to effectively connect with your customers using our data identifying their lifestyle, interests, behaviors and more. 4. Understand more about your members’ needs and behaviors: We’ll help you keep your members healthy. What do your members do, need, prefer? How much can they afford for healthcare? How do they live? You could guess, or you can let unbiased data guide your decisions so you can better assist your members in their health care goals. 5. Create a better member experience: With data and insights, Experian can give you the information you need to enable a consistent member experience, allowing you to match your products in a way that complements your member’s needs and lifestyle. Experian cuts through the data overload by focusing on data that matters and drives actionable decisions. With Experian on your side, you’ll be able to leverage the largest consumer database. We’re here to help you to manage a wide range of marketing needs, including measuring your campaign impact and determining the best messages to use to connect with your audience. We can also assist with securely managing your data in a way that helps to ensure the accuracy of that data to give you the most up-to-date picture of your current member database. Ready to learn more about our healthcare marketing solutions for open enrollment? Complete our online form and an Experian Marketing Services representative will reach out to you soon.