Common misconceptions in this article…
Connected TV (CTV) continues to expand as a dominant force in digital advertising. Streaming adoption is climbing, yet advertising budgets aren’t keeping pace. With the Newfronts and Upfronts presentations completed, advertisers are being asked to make big decisions with lingering questions still in the mix.
One of the biggest barriers? Persistent misconceptions about what CTV can and can’t do. That uncertainty can hold teams back from putting serious weight behind the most addressable screen in the house.
Experian works with leading CTV partners to tackle those concerns head on – whether it’s improving measurement, reducing wasted impressions, or making audience data more actionable.
To help marketers walk into Upfront conversations with clarity and confidence, we connected with industry experts from Ampersand, the Advertising Research Foundation (ARF), FreeWheel, and Madhive to separate fact from fiction.
Here are four common CTV myths – and the reality behind them
1. CTV is not ready for performance marketing
Why this misconception exists
CTV was once seen as a branding tool—good for awareness, but hard to measure. Without clear attribution or precise targeting, it wasn’t built for the kind of performance marketing advertisers expect from digital media.
What’s actually happening
In the not-so-distant past, marketers lacked a consistent way to connect CTV impressions to digital or in-store actions because of device fragmentation and limited signal sharing between platforms. Today, you can reach specific audiences on the biggest screen in the house—and know what happened after they saw your ad.
Advancements in identity resolution and cross-device tracking now allow advertisers to measure everything from incremental reach to store visits and purchases. The growing use of universal identifiers like Unified ID 2.0 (UID2) makes it easier to connect ad exposure to real outcomes across screens.
“With better visibility into who’s watching CTV and what they do afterward, it’s no longer just about getting a message in front of people—we can actually understand if it drove real-world results, like a store visit or a purchase. By tapping into high-quality audience data—from behavioral to demographic to transactional—we’re able to improve match rates and reach, which ultimately leads to more meaningful outcomes for advertisers.”
Murphy Vandemotter, Director of Data Operations, Madhive
That shift—from impressions to impact—is what makes CTV a true performance channel, not just a way to build brand awareness.
How Madhive works with Experian to provide data that drives better targeting and measurement – at scale
Madhive is helping local advertisers achieve better CTV outcomes by integrating Experian’s syndicated audiences directly into the Madhive Data Marketplace. Advertisers are using Experian’s data to better understand local audiences, deliver more personalized messaging, and extend campaign reach – in some cases, achieving 10x the reach compared to other marketplaces.
Combined with Madhive’s measurement tools and real-time optimization capabilities, advertisers can maximize their CTV investments by building lookalike audiences, quickly adjusting underperforming strategies, and personalizing engagement with viewers at the local level.
2. CTV advertising lacks brand safety and fraud protection
Why this misconception exists
CTV is sometimes lumped in with the broader digital ecosystem, where concerns around fraud, brand safety, and opaque buying paths are more common. Some advertisers worry they’re not getting what they paid for—or worse, that their ads could appear next to low-quality content.
What’s actually happening
CTV has a much stronger foundation for brand safety and ad fraud than many marketers realize. The most effective way to minimize risk is to work directly with premium publishers and their primary technology platforms — not through long, complex chains of intermediaries that can open the door to fraud and low-quality placements.
Platforms like FreeWheel provide direct access to premium CTV inventory across major broadcast and cable brands, helping marketers consolidate spend and significantly reduce exposure to risk. Working with primary supply partners ensures ads run alongside trusted, high-quality programming, not questionable or low-value content. By prioritizing direct paths to premium publishers, advertisers can take greater control over where their campaigns appear, achieving better transparency, higher quality, and stronger outcomes.
“Advertisers can reach a broad collection of premium CTV inventory directly through FreeWheel. This not only greatly reduces a marketer’s risk, but it also provides certainty that they’re getting what they paid for in terms of quality content to appear alongside their brands.”
Matt Clark, VP of Strategic Partnerships, FreeWheel
In other words, cutting corners often increases risk—while consolidation and direct access to premium supply creates a cleaner, safer media buy.
How Experian and FreeWheel match quality content with quality targeting
Industry standards like OpenRTB 2.6 are evolving to give advertisers more control over where and how their ads appear. At the same time, Experian is helping advertisers maximize that control through our integration with FreeWheel.
Advertisers can access Experian’s syndicated audiences directly within FreeWheel’s sell and buy-side programmatic advertising platforms. This gives advertisers the ability to create and activate campaigns across linear, digital, and advanced TV. Backed by a deep understanding of people in the offline and digital worlds, Experian’s data is ranked #1 in accuracy by Truthset, giving advertisers confidence that they are reaching the right people. Television audiencesyou can reach include cord-cutters and consumers who subscribe to free and paid ad-supported streaming TV services.
3. CTV audiences are too fragmented to manage effectively
Why this misconception exists
With so many streaming platforms and devices in play, US households subscribe to 4 paid video streaming services on average, it can feel nearly impossible to manage reach and frequency without overspending or annoying your audience.
What’s actually happening
Advertisers don’t need to choose between scale and precision anymore. With the right audience and identity strategy, it’s possible to connect the dots across screens and unify fragmented viewing behaviors.
“We activate first- and third-party data across CTV, linear, and video-on-demand in a consistent way—making sure campaigns reach real households, not just devices. We also track unduplicated reach and frequency across platforms, so advertisers can understand what’s actually working. Together with Experian, we can measure whether those impressions moved the needle and guide media planning with full-funnel attribution insights.“
Anastasia Dukes-Asuen, Sr. Director of Advanced TV Data & Insights, Ampersand
Experian Audiences are built on our household-level identity graph, giving advertisers a powerful tool to manage reach and frequency across screens.
How Ampersand works with Experian
Ampersand utilizes Experian Marketing Data to enhance audience-based media planning, activation, and optimization across linear and addressable TV platforms. By combining Experian Audiences with a footprint of 64 million data-enabled homes, Ampersand helps advertisers find the most valuable networks and dayparts to reach their intended viewers. Through its Addressable Simulator tool, powered by Experian data, Ampersand models different budget scenarios to show how reallocating spend into addressable TV can extend reach and improve efficiency. Using Experian-powered targeting has delivered real-world results, like helping a national cruise brand achieve a 14% lift in incremental reach, a 3.1x increase in frequency, and a 24% lower effective CPM.
4. CTV is only for younger, tech-savvy audiences
Why this misconception exists
Streaming was originally associated with younger viewers, leading advertisers to believe CTV wasn’t an effective way to reach older demographics. That impression stuck, but it’s no longer true.
What’s actually happening
Smart TVs are everywhere, and CTV has gone mainstream. Across generations, households are tuning in to ad-supported streaming services in record numbers—and they’re doing it on the biggest screens in their homes.
What ARF data shows
New research from the Advertising Research Foundation (ARF) backs this up.
According to the 2024 DASH TV Universe Study:
- 77% of U.S. households own at least one Smart TV
- 82% receive at least one ad-supported streaming service
- 62% of households receive at least one ad-supported subscription streaming service (AVOD) like Netflix or Max with ads
“The audience with the highest Smart TV and ad-supported CTV adoption? Millennials and Gen Xers—Americans in their prime parenting years. Even Boomers have embraced CTV: 73% own a Smart TV and 72% receive at least one ad-supported CTV service.”
Jim Meyer, General Manager of the Advertising Research Foundation (ARF) DASH TV Universe Study
ARF and Experian gives marketers the most accurate understanding of who is watching
We partnered with the ARF and its DASH universe study to create 18 TV audiences. By combining the ARF’s DASH data set with Experian Marketing Data, we developed one-of-a-kind TV audiences that reflect how viewers interact with digital devices and e-commerce accounts. We created this resource so our customers can align their marketing campaigns with media usage. These audience segments also yield insights that help marketers reach their audiences with the right messages and content.
Make CTV work for you this Upfront season
CTV is evolving fast, and advertisers who rely on outdated assumptions risk missing out on its full impact. If you’re weighing where to place your bets this Upfront season, don’t let old myths steer you off course. CTV delivers reach, performance, and accountability—especially when powered by high-quality data.
Experian helps advertisers get more from their CTV investment with household-level insights that control ad frequency and unified audience activation to maintain consistent messaging across platforms.
Let’s make your CTV campaigns work smarter. Learn how Experian can help you understand your customers, reach the right audience, and measure performance.
Get in touch
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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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