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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.
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As audiences shift from linear TV to streaming and digital platforms, measurement is becoming more complex and critical. In 2024, brands that can unify impressions across channels, resolve identity, and connect measurement to business outcomes will gain a significant advantage. Here’s what advertisers and platforms need to know. Why TV measurement is under pressure One name has long stood as the bedrock in TV measurement: Nielsen. Nielsen Nielsen is a leading provider of TV audience measurement and analytics. It is known for its TV rating system, which tracks viewership across various demographics and time slots. Nielsen’s data is used by media companies, advertisers, and broadcasters to understand audience preferences, develop, and plan advertising campaigns, and monitor program performance. Nielsen’s recent global expansion Nielsen has continued to expand its global coverage and now fully represents 100% of TV households in the continental U.S., delivering comprehensive and accurate audience measurement. Through this expansion, Nielsen has remained a go-to resource for domestic and international television analytics. In 2021, Nielsen faced a significant setback when it was stripped of its MRC (Media Rating Council) accreditation, sending shockwaves through the industry. While the accreditation was eventually reinstated in 2023, the incident underscored the need for diversification and alternatives within TV measurement. TV measurement competitor outlook For decades, advertisers and agencies have relied on Nielsen's metrics as the gold standard, a trusted source of data guiding ad spending and campaign strategies. However, recent developments have shaken this foundation, prompting a reevaluation of the TV measurement landscape. One notable trend emerging in TV measurement in 2024 is the increasing interest in alternative measurement providers. As advertisers seek greater transparency, accuracy, and flexibility in measurement, many are exploring options beyond Nielsen. These providers offer distinct advantages and drawbacks, presenting advertisers and agencies with a wealth of options and considerations. Panel-based TV measurement providers Panel-based TV measurement has long been a staple in the industry, relying on representative samples of viewers to extrapolate audience behavior. In 2024, several providers offer panel-based solutions, each with different strengths. Comscore Comscore is a key player in panel-based TV measurement, offering comprehensive audience measurement solutions for both linear and digital television. With its massive panel of opted-in households, Comscore provides advertisers with detailed demographic and behavioral insights, enabling targeted advertising strategies. Comscore recently earned MRC accreditation for total household and average audience measurement in national and local TV reports. Kantar Media Kantar Media offers a range of panel-based TV measurement services, including audience measurement, ad effectiveness measurement, and competitive intelligence. With its global footprint and deep expertise in media analytics, Kantar Media helps advertisers understand audience trends and optimize their media investments. Kantar Media is currently working to create a cross-media measurement panel similar in size to what Nielsen offers. While Kantar Media does not presently operate in the U.S. TV measurement market, it would be a formidable competitor should it move into the arena. ACR-based TV measurement providers Automatic content recognition (ACR) technology has revolutionized TV measurement, allowing for real-time monitoring of content consumption across devices. In 2024, several providers use ACR technology to deliver innovative measurement solutions. iSpot.TV iSpot.TV has emerged as a leading provider of ACR-based TV measurement, using its advanced technology stack to capture and analyze TV ad exposures in real-time. Through its acquisition of 605, iSpot.TV strengthens its position in the market, offering advertisers enhanced audience targeting and attribution capabilities. iSpot.tv’s ad catalog and ad occurrence data are fully accredited by the MRC, which is one of its strongest assets. Watch our Ask the Expert with 605 here Samba TV Samba TV offers a comprehensive ACR-based TV measurement platform, providing advertisers with insights into audience behavior across linear, streaming, and connected TV environments. With its robust data infrastructure and machine learning algorithms, Samba TV enables advertisers to optimize their TV advertising campaigns for maximum impact. Samba has recently partnered with HyphaMetrics to create an alternative panel to compete with others in the market. TVision TVision is a smaller competitor in this group that blends ACR-based TV measurement solutions with a panel-based approach, offering advertisers and networks real-time visibility into viewer engagement and attention metrics. By tracking viewer attention and emotional response, TVision helps advertisers understand the effectiveness of their TV ad campaigns and make data-driven decisions. Four common misconceptions in CTV advertising Advantages of alternative measurement providers As the TV measurement landscape evolves in 2024, alternative providers present compelling advantages over traditional approaches, with three key benefits to consider. Diverse data sources: Alternative providers use a wide array of data sources, including set-top boxes, smart TVs, streaming platforms, and digital devices, offering a more comprehensive view of audience behavior. Granular insights: Many alternative providers offer granular insights into viewer demographics, preferences, and engagement metrics, allowing for more targeted and effective advertising strategies. Real-time analytics: Some providers deliver real-time insights that let advertisers optimize campaigns on the fly and quickly act on emerging trends. Learn how our Digital Graph creates a unified view across TV and digital Challenges with alternative measurement providers Alternative providers face several key challenges that need to be addressed before they are widely adopted. Let's dive into each challenge in more detail. Fragmentation With multiple providers using different methodologies and metrics, achieving standardization and comparability across campaigns can be a daunting task. With the proliferation of over-the-top (OTT) services, the TV measurement landscape has become increasingly complex, with new platforms emerging regularly. While ACR technology has enhanced data collection directly from televisions, the market remains highly fragmented, with many manufacturers (like Vizio, LG, and Samsung) building their own ACR solutions. We've teamed up with both LG and Samsung to make our identity and audience solutions available directly within their platforms, enhancing targeting, activation, and measurement capabilities for advertisers in the CTV space. Data privacy concerns As TV measurement becomes increasingly data-driven, concerns around consumer privacy and data ethics loom large, necessitating robust privacy protocols and compliance measures. We’ve already seen lawsuits around the ACR approach to TV measurement. Education and adoption Shifting away from the familiar territory of Nielsen requires education and buy-in from stakeholders, including advertisers, agencies, and media buyers, which can be a gradual and iterative process. See how we help Optimum Media connect every screen to real results Next steps for an identity graph in TV measurement As the TV measurement landscape trends toward a blend of options instead of singular approaches, the ability to identify and target audiences across platforms is crucial. An identity graph serves as a foundational tool that can enable brands and advertisers to resolve disparate data sources into a unified view of the consumer. Experian’s Digital Graph includes more than 4 billion digital identifiers in the U.S., such as mobile ad IDs (MAIDs), universal IDs, connected TV (CTV) IDs, third-party cookies, and hashed emails (HEMs). Representing 250 million individuals and 275 million CTV IDs, it helps advertisers maintain consumer connections as signals fade. Our ability to merge offline and digital data delivers stronger ID resolution, cross-channel attribution, and clearer insights into audiences across streaming, linear, and digital environments. And because identity is only as powerful as the activation it enables, Experian’s data marketplace makes these audiences directly addressable across TV platforms. Advertisers can seamlessly activate custom audience segments for CTV, streaming, and linear partners – all while maintaining the same identity foundation across planning, targeting, and measurement. As advertisers navigate the complexities of the TV measurement landscape in 2024, combining Experian’s Digital Graph, Offline Graph, and data marketplace will be essential for building effective cross-channel advertising strategies and maximizing ROI. Learn how our Digital Graph strengthened MiQ's Identity Spine How Experian supports TV measurement Experian has been in the TV measurement space for decades and offers flexible attribution reports that can attribute media spend on TV to real actions or outcomes, such as website visits, physical location visits, and online and offline sales. We also have unique data through our automotive and financial databases that can be used for attribution. Through our Consumer Sync solutions, you can elevate your attribution quality to understand the true path to conversion by linking all digital touchpoints to a single person. The next frontier of TV measurement TV measurement in 2024 presents both challenges and opportunities for understanding audience behaviors and preferences. We anticipate a continued migration toward alternative providers as advertisers seek greater flexibility and accuracy in measurement. We expect a fragmented future for TV measurement, where data sources extend beyond traditional giants like Nielsen to include numerous smaller players. Despite the entrenched role of linear TV measurement, advertisers must adapt to a blend of data from diverse sources to navigate the evolving landscape. Read our playbook on how to capture future buyers on FAST At Experian, we have the solutions to help you tackle 2024 marketing trends and make the most of your consumer marketing data. Our Graph enables seamless tracking across devices and channels, allowing us to implement first-touch, last-touch, and multi-touch attribution models with unparalleled accuracy. By harnessing the capabilities of our Graph, our attribution solutions can assign value to every crucial touchpoint in the customer journey, giving you a more holistic and comprehensive view of your campaign performance. Connect with an Experian expert to learn more about how we can help you succeed in your marketing efforts. Connect with us today Latest posts FAQs What is TV measurement? TV measurement is the process of tracking how viewers consume content across linear, streaming, and connected TV (CTV), and connecting those impressions to advertising outcomes. Who is TV measurement designed for? TV measurement is built for advertisers, agencies, media owners, and platforms that need to understand reach, frequency, and ROI across fragmented TV and digital ecosystems. What types of TV measurement solutions exist today? There are panel-based providers (like Nielsen and Comscore), ACR-based providers (like iSpot.TV, Samba TV, and TVision), and hybrid or identity-based approaches that unify signals across channels. How do alternative providers ensure accuracy and performance? Many rely on diverse data sources (set-top boxes, smart TVs, streaming platforms) and identity graphs to improve match rates, reduce duplication, and deliver a more complete view of audiences. Is TV measurement privacy-compliant? Yes. Leading providers, including Experian, build privacy and compliance into their solutions. What makes Experian’s approach different from other providers? Experian uniquely combines offline and digital data within its identity graph, enabling precise ID resolution, cross-channel attribution, and outcome-based measurement that connects media spend to real actions. Where can I learn more or get started? You can explore Experian’s measurement solutions or connect with an Experian expert for a personalized walkthrough.

At Experian, we understand the critical role that audience targeting plays in the success of marketing campaigns. That's why we're excited to share this curated list, aimed at helping agencies and media buyers plan their campaigns and effectively reach their audiences with precision and confidence. What separates Experian's syndicated audiences Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, programmatic advertising platforms, and directly within Audigent for activation within private marketplaces (PMPs). Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes. Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent for activation in PMPs and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. Here's a look at the Experian audiences that were the most popular in Q2 2023. Which ones will you add to your Q2 campaign planning? Our top 10 audiences for Q2 Fitness enthusiast Lifestyle and Interests (Affinity) > Health & Fitness > Fitness Enthusiast In-store high spender on baby products Retail Shoppers: Purchase Based > Shopping Behavior > Baby Products: In Store High Spenders Has a bachelor’s degree Demographics > Education > Bachelor Degree In-market for an SUV and CUV Autos, Cars and Trucks > In Market-Body Styles > SUV and CUV In-market for a mid-size truck Autos, Cars and Trucks > In Market-Body Styles > Mid-Size Truck Homeowner Demographics > Homeowners/Renters > Homeowner In-market for a small, mid-size SUV Autos, Cars and Trucks > In Market-Body Styles > Small Mid-Size SUV In-market for a full-size truck Autos, Cars and Trucks > In Market-Body Styles > Full-Size Trucks In-market for a full-size SUV Autos, Cars and Trucks > In Market-Body Styles > Full-Size SUVs Household income level Demographics > Household Income (HHI) > $75,000+ Our top 5 audiences by vertical Which audience segments were the most popular by advertiser vertical? Advanced TV Household income level Demographics > Household Income (HHI) > $75,000-$99,999 Interested in dogs Lifestyle and Interests (Affinity) > Pets > Dogs (FLA / Fair Lending Friendly)1 Homeowner Demographics > Homeowner/Renter > Homeowner Household income level Demographics > Household Income (HHI) > $100,000-$124,999 Interested in arts and entertainment Lifestyle and Interests (Affinity) > Art and Entertainment > Visual Art and Design (FLA / Fair Lending Friendly) Agency Dog owner Lifestyle And Interests (Affinity) > Pets > Dog Owners Cat owner Lifestyle And Interests (Affinity) > Pets > Cat Owners Active investor Lifestyle And Interests (Affinity) > Investors > Active Investor Mutual fund investor Lifestyle And Interests (Affinity) > Investors > Mutual Fund Investor In-market for a full-size SUV Autos, Cars and Trucks > In Market-Body Styles > Full-Size SUVs Auto In-market for a new car Autos, Cars and Trucks > In Market-New/Used > New Car In-market for a used car Autos, Cars and Trucks > In Market-New/Used > Buyer Used In-market for a Honda Autos, Cars And Trucks > In Market-Make And Models > Honda In-market for an auto loan Financial FLA Friendly > In Market Auto Loan In-market for an auto lease Financial FLA Friendly > In Market Auto Lease Did you know? Consumers looking to buy a new vehicle prefer streaming TV, digital newspapers, and email for communication2. By merging our TrueTouchTM engagement channel audiences with our Auto in-market audiences, you can effectively target these consumers through their preferred channels. TrueTouch facilitates personalized advertising campaigns by predicting consumer preferences, ensuring messaging styles align with the right channels and calls to action. By understanding what types of media people prefer, you can match the best way to talk to them with what to offer, using the right channels for personalized ads. No consumer is the same – and you need to engage with them on their terms to successfully market to them. Financial Active in the military Lifestyle And Interests (Affinity) > Occupation > Military – Active In-market for a credit union loan Financial FLA Friendly > In Market Credit Union Loan 40-49 years old Demographics > Ages > 40-49 30-39 years old Demographics > Ages > 30-39 Small business owner Consumer Behaviors > Occupation: Small Business Owners Health 25-29 years old Demographics > Ages > 25-29 30-34 years old Demographics > Ages > 30-34 Weight conscious Lifestyle and Interests (Affinity) > Health & Fitness > Weight Conscious Moms interested in fitness Lifestyle and Interests (Affinity) > Moms, Parents, Families > Fitness Mothers High spenders at vitamin/supplement stores Retail Shoppers: Purchase Based > Health and Fitness > Vitamins/Supplements: Vitamins/Supplements Retail & CPG Dog owners Lifestyle And Interests (Affinity) > Pets > Dog Owners Cat owners Lifestyle And Interests (Affinity) > Pets > Cat Owners Fitness enthusiast Lifestyle and Interests (Affinity) > Health & Fitness > Fitness Enthusiast Interested in healthy living Lifestyle and Interests (Affinity) > Health & Fitness > Healthy Living High spenders at vitamin/supplement stores Retail Shoppers: Purchase Based > Health and Fitness > Vitamins/Supplements: Vitamins/Supplements Activate the right audiences with Experian When you choose Experian’s syndicated audiences, you gain access to over 2,400 audiences that span across 15 verticals and categories. These audiences are directly available for activation on over 30 platforms and can be sent to over 200 media platforms. Experian is ranked #1 for data accuracy (as validated by Truthset) and Experian Marketing Data is the foundation for successful targeting, enrichment, and activation. For a full list of Experian's syndicated audiences and activation destinations, download our syndicated audiences guide. Need a custom audience? We can help you build and activate an Experian audience on the platform of your choice. Connect with our audience team Check out other seasonal audiences you can activate today. Contact us Footnotes Fair Lending Act Friendly audiences: “Fair Lending Friendly” indicates data fields that Experian has made available without use of certain demographic attributes that may increase the likelihood of discriminatory practices prohibited by the Fair Housing Act (“FHA”) and Equal Credit Opportunity Act (“ECOA”). These excluded attributes include, but may not be limited to, race, color, religion, national origin, sex, marital status, age, disability, handicap, family status, ancestry, sexual orientation, unfavorable military discharge, and gender. Experian’s provision of Fair Lending Friendly indicators does not constitute legal advice or otherwise assure your compliance with the FHA, ECOA, or any other applicable laws. Clients should seek legal advice with respect to your use of data in connection with lending decisions or application and compliance with applicable laws. Experian looked at our Auto and TrueTouch audience data to understand media preference trends over the past year. Latest posts

With the impending deprecation of third-party cookies, marketers find themselves at the crossroads of innovation and adaptation. As we bid farewell to this identifier, the emphasis shifts to forging deeper connections, understanding customer needs, and navigating the marketing landscape with data-driven precision. At Experian, we stand as your trusted partner, committed to guiding you through this transition. In this blog post, we'll explore: How third-party cookie deprecation is impacting digital advertising Six alternatives to third-party cookies and where they fall short How Experian can help you navigate a cookieless world Four ways third-party cookie deprecation is impacting digital advertising Third-party cookie deprecation is causing significant challenges within the AdTech industry, manifesting in four key areas: Reach: Advertisers and demand-side platforms (DSPs) will face difficulties in reaching their target customers due to the absence of third-party cookies. Understanding audiences: Advertisers will find it challenging to understand the demographics and behaviors of their customer base without third-party cookies. Similarly, publishers are struggling to identify their audiences accurately, resulting in less addressable and appealing inventory. Measurement: Measurement providers may encounter obstacles in accurately assessing the effectiveness of advertising campaigns. Additionally, DSPs are finding it hard to measure the impact of their ads without the assistance of third-party cookies. Matching: Data providers may experience challenges in matching users with the appropriate audience segments, leading to difficulties in delivering targeted advertising. Six alternatives to third-party cookies As the deadline approaches for Google's removal of third-party cookies from Chrome by the end of 2024, marketers are scrambling to discover alternative methods for delivering effective advertising. Fortunately, various alternatives are emerging. However, the abundance of options can create confusion rather than clarity. Which alternatives are worth considering? Here are six compelling alternatives to third-party cookies: 1. First-party data Acquiring consented first-party data directly from users is becoming increasingly vital as it can lay the groundwork for more precise targeting. 2. Universal IDs Alternative identifiers like The Trade Desk's UID2 and ID5’s Universal ID are becoming increasingly important, offering the ability to maintain a comprehensive consumer view across channels and platforms, leading to enhanced personalization and addressability across various channels, even in cookieless environments. 3. Identity graphs As browser-based IDs shift and digital signals decline, the need for an identity graph grows, with companies adopting a "graph-of-graph" strategy by combining their own robust first-party data with licensed identity graphs, as highlighted in recent announcements by industry giants such as Disney, VideoAmp, and Magnite. 4. Contextual targeting Contextual targeting aligns publisher content with relevant ads, ensuring ad delivery based on content rather than individual identifiers. This privacy-respecting approach is less dependent on third-party cookies, providing effective audience activation. 5. Data collaboration In a cookieless world, it becomes more difficult for companies to "communicate" with one another. We expect to see more pick up of data collaboration in the market, using addressable IDs and identity resolution to power connectivity between partners and their data sets. 6. Google Privacy Sandbox The primary goal of Google’s Privacy Sandbox is to continue to deliver valuable consumer information that yields relevant marketing and media strategies, while protecting a user’s privacy. How these alternatives to cookies fall short While it's promising to see numerous alternatives to cookies emerging, it's essential to recognize that each alternative has its limitations and is not a perfect one-to-one replacement for third-party cookies. Let’s review the shortcomings of these alternatives, and then we’ll walk through how Experian can help you navigate these alternatives to cookies. 1. First-party data First-party data, which is data directly collected from your users with their consent, is highly valuable. However, you will likely face limitations in terms of the number of consumers in your database, the identifiers linking them, and the insights into their demographics and behaviors. To overcome these limitations, it's essential to expand both the quantity and quality of your first-party data. 2. Universal IDs Universal identifiers are valuable for tracking users across different devices and websites. However, no single universal identifier has enough reach to fully replace third-party cookies. Universal IDs are most effective in terms of scaling, when they are combined with other universal identifiers or alternative addressable identifiers. 3. Identity graph Identity graphs excel at connecting digital audiences. However, establishing an identity graph from scratch is a significant accomplishment, demanding expertise, financial resources, and more. 4. Contextual targeting Contextual targeting and advertising aim to place your ads next to relevant content. However, there's a risk that your ads might appear alongside misaligned content, reaching audiences who are uninterested or unintended. 5. Data collaboration Data collaboration is beneficial for enhancing your consumer data and informing your strategies. However, it can introduce potential data security risks, if not done in the right framework, and may lead to subpar matching results due to issues like data hygiene or discrepancies in identifiers. 6. Google Privacy Sandbox Google’s Privacy Sandbox aims to balance effective advertising with consumer privacy and data security. However, it lacks transparency and has yet to prove its effectiveness, raising concerns about whether it meets industry standards. How Experian can help you navigate a cookieless world As an industry innovator and leader in data and identity, we've developed solutions to address the challenges posed by the shift away from third-party cookies. Our products are designed to adapt to these changes and ensure your success. We've anticipated industry shifts and proactively prepared our offerings to support you through this transition. Below we outline how our products are ready to support you through the transition away from third-party cookies. Graph The Experian Graph facilitates connectivity without relying on cookies. Our Graph helps ensure connectivity by supporting a variety of addressable identifiers, not limited to but including universal IDs, like Unified ID 2.0 (UID2) and ID5's universal ID. Whether you have first-party data or not, our Graph can be used to expand the reach of your first-party data or provide you with access to the full scope of our Graph's 126 million households and 250 million individuals. Activity Feed Supported by our Graph, Activity Feed can help you deliver digital connectivity and resolution in a cookieless environment. Activity Feed can resolve disparate activity to a single, consumer profile. It can expand the quantity of addressable identifiers associated with your first-party consumers. Additionally, Activity Feed, by joining disparate activity and identifiers, provides clearer insights, more addressable targets, and more holistic measurement. Our Marketing Attributes and Audiences In a cookieless environment, our Marketing Attributes and Audiences provide valuable information and insights about who your consumers are, like their demographics, shopping patterns, and more, to facilitate more informed decision-making. You can use our Marketing Attributes and Audiences to enrich your first-party data, giving you crucial insights into your customers so you can make informed, strategic decisions. They can be matched to universal identifiers, expanding their utility. Additionally, our Marketing Attributes and Audiences are sourced from non-cookie dependent offline and digital sources, ensuring they are unimpacted by third-party cookie deprecation. Collaboration While third-party cookies have primarily served to connect data in the industry, many companies are turning to data collaboration in lieu of having third-party cookies. In doing so, they can connect data with key partners, which they can use to make better media decisions. Experian Collaboration helps make data collaborations better, powering higher match rates by using the various identifiers supported in our offline and digital graphs. Through our current support of collaboration in three environments, within Experian, through crosswalks, and in clean rooms, such as AWS, InfoSum, and Snowflake, we ensure that you only share the data you intend to share, while the sensitive information remains secure. This way, your partner and you can focus on how to use the data to benefit you and not on anything else. Get started with alternatives to third-party cookies today While many view the deprecation of third-party cookies as disruptive, we see it as an opportunity for the industry to embrace a new era of advertising while prioritizing consumer privacy. Achieving this balance is crucial, and Experian's solutions are here to help you navigate it effectively. As the AdTech industry gravitates toward a few tactics to effectively advertise in the cookieless future, Experian is here to understand your core needs and recommend products that will help. In a rapidly evolving marketing landscape, Experian stands as your trusted partner, offering expertise in data-driven and identity solutions. Connect with our team to seamlessly transition into these alternatives to third-party cookies, ensuring your marketing strategies remain effective, privacy-compliant, and focused on meaningful connections. Get started today Latest posts