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.
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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