At A Glance
AdRoll and Experian help marketers grow the full funnel by combining audience data, identity resolution, and connected TV (CTV) measurement. Marketers can reach new prospects, retarget across screens, and measure CTV's impact on website visits, keeping strategic decisions in human hands as AI takes on more optimization tasks.Key takeaways
- eMarketer forecasts that U.S. advertisers will spend more on connected TV ($17.73 billion) than primetime linear TV ($16.98 billion) in 2026.
- AdRoll’s Household Reach & Site Visit report, built on Experian’s Digital Graph, links CTV exposure to later website visits at the household level.
- Marketers can access Experian Audiences and Experian Audience Engine directly inside AdRoll’s campaign workflow without a separate data integration.
- AdRoll recommends a clear AI framework: people set the what and why, while AI manages the how and how much of campaign execution.
Finding new customers is only part of the challenge. Marketers also need to reach the right people across CTV and digital channels, then understand what happens after the first impression.
Will Nixon, Head of Data Partnerships at AdRoll, joined us to discuss how Experian Audiences and cross-device identity help marketers fill the funnel, prove CTV’s impact on the customer journey, and keep people in charge of strategy as AI takes on optimization.
Reach, accuracy, and proof don’t always move together
Growth marketers must balance scale, relevance, and proof. Layer too many audience segments and reach shrinks; go too broad and relevance suffers. CTV adds a measurement challenge because viewers can’t click the ad, leaving last-click attribution unable to capture the full journey.
That matters as CTV attracts more investment. For the first time, eMarketer forecasts that U.S. advertisers will commit more of their upfront TV budgets to CTV ($17.73 billion) than to primetime linear TV ($16.98 billion) in 2026.
As more budget moves to CTV, the pressure to prove it’s working grows with it. Marketers need to reach the right people consistently, then connect ad exposure to what happens next. That’s where the AdRoll and Experian partnership comes in: Experian’s audience data brings new prospects into the funnel, AdRoll’s long track record in retargeting keeps the conversation moving toward purchase, and a durable identity layer connecting the journey across screens.
Building the funnel on Experian data, inside AdRoll
AdRoll gives marketers access to Experian audience data right inside the campaign workflow, so they can plan and activate campaigns without a separate data integration.
Together, these capabilities help marketers move from understanding an audience to reaching it, then connect campaign activity across devices.
Connecting the big screen to what happens next
CTV gives marketers a powerful way to reach people, but the lack of a click can make it difficult to connect an ad exposure directly with later engagement.
AdRoll’s Household Reach & Site Visit helps marketers connect CTV exposure with later website engagement. Built on our identity graph, the report shows how many households a CTV campaign reached and how many of those households visited the marketer’s website after ad exposure.
That links two parts of the journey: CTV exposure and later website engagement from a digital device in the same household.
“This gives our sellers and our customers confidence to reinvest in CTV, because before this they were a little bit flying blind: we invested in CTV, we ran all these ads, but what was the impact of that? This helps tell that story.”
AdRollWill Nixon, Head of Data Partnerships
Where people stay in charge as AI takes on more campaign optimization
Even with AI handling more of the work, marketers still need to decide who leads and where the technology can help. AdRoll uses a simple framework: people own the what and why, and AI owns the how and how much.
People define the business outcomes and creative guardrails. AI can recommend how to allocate budgets across channels, measure performance, and learn from campaign data. The more of those decisions AI makes, the more data quality, governance, transparency, and marketer control matter.
“Humans own the what and the why: what are we trying to achieve for customers, and why does it matter to them? AI owns the how and how much: how are we going to reach the users, how much are we going to spend on each channel, and how are we going to measure it?”
AdRollWill Nixon, Head of Data Partnerships
This is also why the AdRoll and Experian relationship matters; Experian’s audience data and identity resolution give AdRoll a trusted, well-governed foundation, so marketers can rely on the data behind the how and how much while they stay focused on the what and why.
What this means for your next campaign
If you’re planning a full-funnel program, start with four questions:
Together, AdRoll and Experian help marketers connect audience understanding, activation, identity, and measurement across more of the customer journey.
Ready to grow your funnel with Experian and AdRoll?
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About our expert
Will Nixon
Head of Data Partnerships, AdRoll
Will Nixon is the Head of Data Partnerships at AdRoll, where he leads the commercial strategy for the company’s audience targeting and identity data products. A 15-year AdTech veteran, Will also leads supply path optimization strategy at AdRoll, as well as publisher development at Virool and Brand.net. Will also enjoys spending time in the mountains or the ocean while he awaits the 50-year storm.
FAQs
Experian’s Digital Graph connects mobile advertising IDs and CTV IDs to households, giving AdRoll’s Household Reach & Site Visit report the identity layer it needs. This lets marketers see how many households a CTV campaign reached and how many of those households later visited their website, closing a gap that last-click attribution can’t cover.
Experian Audiences are thousands of ready-to-use, syndicated segments covering demographics, financial profiles, intent, interests, and purchase behavior that marketers can select directly inside AdRoll. Experian Audience Engine works differently by letting marketers combine their own first-party data, such as an email list, with Experian’s Marketing Attributes to build a custom modeled audience when a syndicated segment isn’t the right fit.
CTV is harder to measure because viewers can’t click the ad, so last-click attribution models can’t capture the full path to a later action. That’s why household-level identity resolution, like the kind Experian’s Digital Graph provides, is necessary to connect a CTV ad exposure to what a household does next.
Latest posts
Advertisers continue to increase their spending across addressable TV, connected TV (CTV), and digital. According to IAB’s “2021 Video Ad Spend and 2022 Outlook” report, digital video ad spending is expected to increase by 26% to $49.2 billion in 2022. Understanding who consumers are and how to best reach them in their preferred channel is becoming more complex. Damian Amitin and Colleen Dawe discuss how a seamless identity strategy can address the complexity of the emerging TV space. The evolution of identity resolution Around ten years ago, the idea of digital “identity resolution” or “Device Graphs” was born. This idea connected cookies and MAIDs to understand when many IDs were the same person or household. In more recent years, our industry began to connect that initial understanding to the CTV ecosystem. But, a large part of the TV ecosystem existed in silos, like first and third-party audience data, and the growing advanced TV market. The goal of identity resolution has always been to understand the consumer better. To achieve more accurate targeting and measurement in the CTV ecosystem, we must incorporate the following: What we know about the household and consumer from an ID perspective Who the consumer is as it relates to audience data, as well as the wealth of first-party data in the advanced TV space We know the cookie is a flawed way to collect data. While Google delayed the deprecation of third-party cookies, there are other challenges that we face right now. Such as the glaring gap in Safari traffic and the Identifier for Advertisers (IDFA) turning to “opt-in.” Understanding consumer behavior across devices and platforms continues to challenge marketers and publishers. These challenges are creating the need to find more stable identifiers. Though the cookie remains valuable, it has an uncertain future. This has led advertisers to place bigger bets on the combination of addressable and CTV. The overlap in addressable and CTV data leads to fragmentation Personally identifiable information (PII) makes up the majority of addressable TV households’ data. Part of the attraction to CTV is that their IDs remain universal, persistent, and stable. Analysts project that CTV ad spending will hit $23B in 2023. Consumers now have an average of 4.7 streaming subscriptions per household. It’s no surprise then, that Disney+, HBO, and Netflix released or announced ad-supported tiers. Addressable TV and CTV are often thought of as distinct markets across the industry. But, in the context of identity, we should look at them through the same lens. Millions of households still consume TV and video content via a set-top box or through apps on CTVs. This is in addition to what they consume on their laptops, tablets, and phones. Of the top 11 cable and satellite providers, 65 million U.S. households still have a box in their homes. On the other hand, approximately 96 million U.S. households have at least one or more Smart TVs and streaming services. With about 126 million total U.S. TV households, that’s a lot of overlap. There are still significant numbers of both addressable and CTV homes. How can we address fragmented TV consumption? Through a holistic and comprehensive approach to identity. An approach that captures addressable TV, CTV, and digital identifiers. An approach that captures all audience attributes inside of a single identity graph. This is the ideal approach for publishers, AdTech vendors, and brands. Discover how to unlock holistic identity How can we achieve a holistic identity? Through a three-pillared approach: First-party data onboarding Digital identifiers Consumer data First-party data onboarding Bringing offline data from a brand’s consumers is very valuable due to the quality of the data. Because the data is being collected right from the source, you know it’s accurate. It provides the foundation you can build your identity strategy from. Digital identifiers Once you create a foundation with first-party data, you need to connect it. Either with an internal or licensed digital ID graph. Then you can understand the connections between all devices within the household. Consumer data After you know which devices tie to a single consumer, you’ll want to act on that knowledge. The next step is to partner with a data provider that can help you understand your consumers. Establishing this partnership will help improve targeting, measurement, and the customer experience. To achieve a well-rounded customer view tomorrow, we need to start today The three-pillared approach bridges the gap between the offline and online worlds. This provides a well-rounded view of customers and audiences. However, the ability to tie these aspects of identity together still presents several challenges. To achieve the three-pillared approach today, you need to use many vendors and fragmented data sources. Often with conflicting data. As we look forward, the tools to do this are becoming more advanced and unified. The players in our ecosystem should adopt a seamless identity strategy. One that provides a privacy-safe yet full-picture solution. That means capturing and unifying all devices within a household. While also understanding the consumer behaviors and profiles behind those devices. Keep up with your customers and their data Once we create an informed identity strategy, we can begin to understand the makeup of each household and the individuals within. In this new world, personalizing the experience for an audience is key. Where do they prefer to spend their time? What type of content are they most engaged in? Only then can we as an industry provide an optimal experience for each consumer. All while driving greater ROI for advertisers and publishers. Are you ready to know more about your customers than ever before? Let’s get to work together to achieve your marketing goals. Contact us to learn how we can connect the complex dots of identity resolution. About our experts Damian Amitin, VP of Enterprise Partnerships, Experian Marketing Services Damian Amitin is the VP of Enterprise Partnerships and joined Experian during the Tapad acquisition in November 2020. Damian is a senior sales and partnerships executive, specializing in the identity resolution and marketing data ecosystem. Damian helps brands, publishers, and technology vendors enable enhanced ID resolution through The Experian/Tapad platform to attain a 360 view of the customer across targeting analytics, attribution, and personalization. Colleen Dawe, Senior Account Executive, Experian Marketing Services Colleen Dawe is a Senior Account Executive on the Advanced TV Team within Experian Marketing Services. With 15 years of experience working within the television ecosystem, Colleen works with clients to bring the value and expertise of Experian to support their objectives in the areas of data, identity, activation, and measurement. Get in touch
Brands can leverage non-clinical factors, like the social determinants of health, to gain a holistic view of their patients and increase access to care.
Next up in our Ask the Expert series, we hear from Sarah Ilie and Lauren Portell. Sarah and Lauren talk about the internet’s value exchange – what we gain and lose when it’s so easy to share our information. Is convenience hurting or helping us? The age of connectivity Today, it’s almost unimaginable to think about how your day-to-day life would look without the convenience of the internet, smartphones, apps, and fitness trackers; the list goes on and on. We live in the age of connectivity. We have the convenience to buy products delivered to our homes on the same day. We can consume content across thousands of platforms. We also have watches or apps that track our health with more granularity than ever before. The internet’s value exchange In exchange for this convenience and information, we must share various kinds of data for these transactions and activities to take place. Websites and apps give you the option to “opt in” and share your data. They also often let you know that they are collecting your data. This can feel like an uncomfortable proposition and an invasion of privacy to many people. What does it mean to opt-in to a website or app’s tracking cookies? What value do we exchange? What opting in means for you Opting in to cookies means that you are allowing the app or website to track your online activity and collect anonymous data that is aggregated for marketing analytics. The data provides valuable information to understand users better to create better online experiences or offer more useful products and content. Granting access to “tracking” offers several benefits to users such as a customized, more personal user experience or advertising that is more likely to be relevant. For example, let’s imagine you have recently been using an app or website to plan a camping trip. By sharing your data, the website or app has visibility into what is interesting or useful to you which can lead to related content suggestions (best campsites) or relevant advertising and product recommendations (tents and camping equipment). It’s important to know that the marketing data collected when you opt in is extremely valuable. The revenue that advertising generates is often very important to websites and apps because this is how they make money to continue providing content and services to consumers. Data privacy practices Privacy concerns regarding how companies and developers use tracking information have risen over the last couple of years and have resulted in additional protection for consumers’ privacy while still allowing companies to improve their products and advertising. One big step in this direction has been simply making people aware that their data is being collected, why it’s being collected, and providing users with the option to share this data for marketing analytics through opting-in or not. Other important steps to maintain online privacy include formal legal legislation and self-regulation. The right to privacy is protected by more than 600 laws between individual states and federal legislation and the U.S. House Committee on Energy and Commerce recently voted to pass the American Data Privacy and Protection Act. Additionally, marketing organizations such as the Interactive Advertising Bureau and Association of National Advertisers regulate themselves with codes of conduct and standards given there is so much attention on privacy issues. Is the internet’s value exchange worth it? The data that we choose to share by opting in has a lot of benefits for us as consumers. There are laws in place to protect our data and privacy. Of course, it’s important to be aware that data is collected and used for marketing purposes, but it’s also reasonable to share a certain amount of data that translates into benefits for you as well. The best data unlocks the best marketing. Contact us to tap into the power of the world’s largest consumer database. Learn how you can use Experian Marketing Services’ powerful consumer data to learn more about your customers, drive new business, and deliver intelligent interactions across all channels. Meet the Experts: Lauren Portell, Account Executive, Advanced TV, Experian Marketing Services Sarah Ilie, Strategic Partner Manager, Experian Marketing Services Get in touch