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.
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Commerce media networks have had a strong start. Growth has been fast, demand has been strong, and brands have made it clear they want closer access to commerce-driven audiences. But as more networks mature and enter the space, many are starting to feel the same pressure point: scale. Most commerce media networks were built as managed service businesses. That model works well early on. High-touch, white-glove partnerships make sense when you’re working with a handful of strategic brands. But there’s a ceiling. There are only so many teams, only so much inventory, and only so many advertisers that model can realistically support. It’s one thing for a large retailer to build custom programs for a P&G. It’s another to do that at scale for hundreds or thousands of brands. At some point, growth slows, not because demand disappears, but because the model can’t stretch any further. The scale problem no one likes to talk about That’s where many commerce media leaders find themselves today. Pausing to assess what comes next. For a long time, growth has been measured almost entirely through media dollars. That mindset is understandable. Media is familiar, it’s easy to quantify. It shows up clearly in negotiations and revenue reports. But viewing commerce media networks purely as media sales engines creates long-term risk. It can strain brand relationships, limit innovation, and distract from what commerce media networks actually do better than almost anyone else: understand consumers deeply. Signals are the real asset Commerce platforms sit close to decision-making. They see what people search for, what they consider, what they buy, and when those behaviors change. Those signals are incredibly powerful. And yet, most networks only activate them inside their own walled environments. That’s a missed opportunity. Curation represents the next area of growth for commerce media networks, and it doesn’t require replacing or diminishing existing media revenue. In fact, it complements it. No single commerce media network has all the data needed to give advertisers the scale and reach they’re looking for. And no advertiser wants to recreate the same audience in dozens of disconnected platforms. That friction creates inefficiency and slows decision-making. Why collaboration supports sustainable growth The opportunity is to look beyond first-party data alone and start thinking about collaboration. Second-party data. Data partnerships. Signal sharing done responsibly and transparently. Imagine an advertiser defining an audience once and being able to understand and reach that audience across multiple commerce environments. Not through a series of disconnected buys, but through a more consistent approach built on shared understanding leading to increased reach and more impactful campaigns. That’s easier for advertisers to manage, and it creates an additional revenue stream for commerce media networks that complements media sales rather than competing with them. Curation strengthens media, it doesn’t replace it Media will always play an important role. There is clear value in custom experiences tied directly to a commerce environment. Think buyouts, sponsored experiences, custom creative integrations. Those are situations where brands want to work closely with the network itself. But the signals commerce media networks hold don’t need to be limited to those moments. Those signals can be monetized independently through data products, co-ops, and partnerships that extend their value into other channels. That’s how curation adds value without undercutting existing revenue. A practical path forward for commerce media leaders For commerce media leaders thinking about their next phase of growth, the focus should be on sustainability. Building a massive media operation takes time and investment. Data-driven revenue streams can be introduced more quickly, require fewer internal resources, and provide steadier margins. It’s a practical approach. Use signal-based revenue to fund growth. Let that revenue support investment in tooling, talent, and media innovation over time. Bootstrapping, in the truest sense. Why transparency matters early There’s also a broader responsibility here. In many advertising channels, transparency followed growth, often after pressure from the market. Commerce media networks have an opportunity to do this differently. To lead with transparency from the start. To be clear with brands and consumers about how data is used, how signals are created, and how value flows through the ecosystem. Because the reality is this: commerce media networks are holding some of the most valuable intent signals in the market today. But those signals don’t retain their value in isolation. 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Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together. Latest posts