Originally appeared on VideoNuze
Connected TV (CTV) is a leading platform in digital advertising, combining the precise targeting of digital ads with the broad reach and storytelling power of traditional TV. This creates an immersive experience that offers full-funnel marketing results. As consumer time spent watching CTV has doubled over the past five years and linear TV viewing patterns have shifted, advertisers now see CTV as essential for reaching and engaging audiences.
Of those CTV users, viewers increasingly choose to watch content with ads. By 2025, free ad-supported streaming TV (FAST) viewers will increase to 49% of CTV users, further highlighting the opportunity for marketers to captivate audiences in ways standard digital display ads can’t match. With the explosion of consumer time spent and advertising dollars following, making CTV more addressable and targeted requires a combination of identity and audience.
Historically, the IP address has been the most popular way to target a household with a CTV (e.g., LG, Samsung, Vizio device) or streaming platform (e.g., Disney+, Paramount+, Roku, Amazon Prime, etc.). As IP addresses continue to fluctuate in terms of durability, consistency, and type, including the increased adoption of IPv6, we have seen a new incumbent enter the CTV ecosystem: Unified ID 2.0 (UID2).
UID2 stands out as a particularly valuable tool for CTV advertisers. It provides a standardized way to identify and target users across CTV and traditional channels like display and mobile while respecting consumer privacy. Given that purchases might not occur on CTV, UID2’s ability to link ad exposure on CTV to conversions on other devices is crucial for demonstrating a CTV campaign’s true impact.
Authenticated audiences are key to CTV’s appeal
A significant advantage of CTV is its high rate of logged-in, authenticated users. This provides marketers with reliable first-party data for targeting and measurement purposes. UID2 benefits from this since it’s a universal identifier based primarily on first-party data, such as people’s email addresses and phone numbers.
Authenticated viewers can also be connected across different devices, enabling marketers to understand the full customer journey, which helps attribute conversions more accurately to CTV ads.
Key advantages of CTV for digital marketers
- Superior viewing experience: Larger screens and a captive audience watching high-quality on-demand content
- Authenticated users: Enables precise audience targeting, more personalized ad experiences, and enhanced cross-device attribution
- Value exchange: Viewers get cost-effective content with personalized ads, leading to higher engagement
“Authenticated viewers and universal IDs like UID2 are revolutionizing CTV advertising, enabling the effective delivery of personalized content and ensuring strong engagement for marketers; Paramount is committed to optimizing across platforms and will continue to utilize tools and advancements that maximize reach for our partners and improve the user experience for our viewers.”
Travis Scoles, Executive Vice President, Paramount Advertising
The role of universal IDs in CTV advertising
Universal IDs, like UID2, play a critical role in CTV by ensuring consistent user identification across platforms while respecting privacy. Adoption of UID2 is gaining traction in the TV industry, with brands such as AMC Networks, Disney, Dish Media, FreeWheel, NBCUniversal, Roku, and Paramount integrating it into their digital advertising ecosystem. As authentication increases across traditional digital and mobile apps, especially CTV, universal IDs like UID2 enable cross-device and cross-channel identity strategies without cookies. This is especially important as traditional identifiers like third-party cookies and IP addresses face an uncertain future.
Better understand and reach your audience with identity graphs
For CTV ad spending to catch up to time spent with CTV, the industry must use these authenticated signals and universal IDs. Identity graphs, like Experian’s, integrate various identifiers (e.g., universal IDs, CTV IDs, IP addresses), allowing CTV platforms to understand relationships between households, individuals, and devices. This understanding enables:
- Publishers using universal IDs can make advertising on their platform more addressable, which will lead to higher demand.
- Marketers can achieve greater precision with cross-device targeting, cross-channel frequency management, and more holistic measurement since conversions often happen on non-CTV devices.
- Viewers receive a more personalized ad experience (without seeing the same ad repeatedly), which will increase engagement with a marketer’s campaign.
Watch our Ask the Expert video with The Trade Desk to deepen your knowledge on CTV advertising and UID2.
Latest posts
Year after year, CES signals where marketing is headed next. In 2026, the message was clear. Progress comes from connecting data, intelligence, and outcomes with discipline, not spectacle. Across AI, programmatic media, and measurement, the same priorities surfaced again and again. Under the bright lights of Las Vegas, three themes cut through, and each one pointed to a future where data, intelligence, and outcomes move in lockstep. Here are the three themes that defined CES 2026. 1. Agentic AI proved that it’s only as good as its data inputs AI was once again the star of the show. At CES 2026, marketers focused less on demos and more on proof that AI improves decisions, reduces friction, and drives outcomes. Every credible use case traced back to accurate, privacy-first data. What changed at CES was how that intelligence is being applied. Agentic AI systems designed to act autonomously are moving beyond insights and into execution. From media buying to optimization, these agents are increasingly expected to make decisions at speed and scale. That shift raises the stakes for data quality. When AI is operating campaigns, not just informing them, accuracy and privacy are non-negotiable. Without accurate, privacy compliant data, AI agents struggle to reflect real behavior or support responsible personalization. A reliable, privacy-first data foundation is what turns AI from an interesting experiment into an operational advantage. That advantage gets even stronger when it’s anchored in an identity graph that understands people and households across channels. When identity and intelligence move together, AI becomes more accurate, accountable, and effective at driving outcomes. In an AI first world, the strongest signal isn't scale. It's data quality. 2. Curation goes mainstream Curation is no longer experimental. At CES, it showed up as an mandated capability for buyers and sellers navigating fragmented signals and complex supply paths. Marketers want intentional media buys they can explain, defend, and repeat. AI is accelerating this shift. As AI systems take on more responsibility for planning, packaging, and optimization, curation provides the guardrails. It defines what “good” looks like (premium supply, trusted data, and clear performance goals), and allows AI to operate within those constraints driving the optimal outcomes for marketers. Rather than maximizing inventory access, curation prioritizes control, transparency, and performance. Buyers want premium supply aligned to specific goals. Sellers want clearer paths to demand. They can play the odds or own the outcome. When data leads, they own it. When curation is powered by high-fidelity audiences and a connected identity framework, it becomes even stronger. That’s what allows curated deals to deliver clarity, confidence, and repeatable performance. This shift reflects a broader move away from probability-based buying toward outcome ownership, where AI-driven systems are measured not on activity, but on results. 3. Activation and measurement finally shared the same stage Activation and measurement are now coming together around shared data and identity. CES 2026 marked a turning point where closing the loop felt achievable, not aspirational. Both the buy- and sell-sides face pressure to show that media investment drives outcomes. Agentic AI was a quiet driver of this optimism. As AI agents increasingly manage activation decisions in real time, marketers need measurement systems that can keep up. That requires a shared data and identity foundation. One that allows AI-driven actions to be evaluated against outcomes consistently, across channels and partners. "The companies leading in alternative data aren't just optimizing for growth, they're setting a new standard for inclusion, precision and responsible lending." – Ashley Knight, SVP of Product Management, Experian Achieving that requires a consistent identity spine that connects planning, activation, and outcomes across channels. And that spine is strongest when it’s built on accurate, privacy-first data and audiences that understand people and households. That connection allows marketers to move beyond proxy metrics and evaluate performance based on tangible results. When campaigns and measurement rely on the same data foundation, AI driven platforms can optimize toward outcomes such as new customers, account growth, or in-store activity, not just delivery metrics. That’s the connective layer that turns disconnected touchpoints into a measurable, outcomes-based system. The takeaway CES made one thing clear: agentic AI is moving marketing from intention to execution. But only for teams with the right foundation. AI is maturing, but only for teams with accurate, connected, privacy-first data that AI agents can act on responsibly. Curation is scaling, giving both humans and AI systems clearer paths to quality, control, and differentiation. Activation and measurement are aligning, allowing AI-driven decisions to be judged on outcomes, not assumptions. We’re building for that world today. One where agentic AI operates on a trusted data and identity foundation, curation defines the rules, and outcomes determine success. With the right foundation and the deep data inputs, you can move faster, reduce risk, and let intelligence (human and artificial) work together to deliver results that last long after the neon lights fade.
Remember when “6-7” was all over your feed and no one really knew why, but somehow everyone got it? In 2025, the internet proved that connection doesn’t always make sense — at least not at first. The “6-7” meme was random, ridiculous, and everywhere. It spread because it felt connected; an inside joke everyone could share. Marketing in 2026 will have its own 6-7 moment. Experian’s 2026 Digital trends and predictions report explores how 2026 will be defined by connection: between activation and measurement, data and AI, platforms and outcomes. After years of fragmentation, the industry is finally unifying around shared foundations: data accuracy, identity resilience, and measurable performance. Here are three connections to watch for in 2026. 1. AI is only as good as its data foundation AI’s performance depends on the quality, recency, and integrity of its inputs. In 2026, marketers will recognize that the differentiator is not the algorithm itself but the data that informs it. As AI becomes embedded into workflows (from audience discovery to media optimization) accurate identity and privacy-safe data become essential. Why it matters Good data fuels responsible automation, predictive insight, and personalization that feels human. Without it, even the most advanced models will simply automate bad decisions faster. What actions should marketers take to strengthen their data foundation? To make AI adaptive, ethical, and aligned with real-world context, marketers need to strengthen the data foundation beneath it. In 2026, that means taking four core actions: 1. Prioritize accuracy Verify data and anchor it in real human identity, rather than inferred or fragmented signals. 2. Keep data fresh Ensure inputs stay current through continuous updates that reflect real-time consumer behavior and conditions. 3. Maintain consent standards Source data responsibly and stay compliant with privacy regulations emerging across 20+ U.S. states. 4. Enable interoperability Connect data securely across platforms through a signal-agnostic identity framework that supports consistency and scale. When these elements come together, AI becomes more than just automation: it becomes adaptive, ethical, and responsive to real-world context. 2. Commerce media expands beyond retail Commerce media is no longer just a retail play. What began as retailers monetizing their data and media has evolved into a multi-sector movement uniting data, media, and transaction insights. Auto, travel, CPG, and even financial brands are launching their own media networks or partnering with existing ones to close the loop between exposure and conversion.
This content is password protected. To view it please enter your password below: Password: