In this article…
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.
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.
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.
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.
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.
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.
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.
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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. 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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. Start exploring Latest posts
FAQs
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.
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.
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.
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.
Yes. Leading providers, including Experian, build privacy and compliance into their solutions.
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.
You can explore Experian’s measurement solutions or connect with an Experian expert for a personalized walkthrough.