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A deep dive with an Experian partner, Yahoo DSP

by Experian Marketing Services 9 min read March 19, 2026

At A Glance

Yahoo DSP is building toward a “DSP as infrastructure” model that plugs into advertisers’ existing workflows, tools, and agents. In this Q&A, Yahoo DSP shares how Yahoo ConnectID, interoperability, and Yahoo Blueprint Performance support targeting and measurement across CTV, live sports, and the open web. The interview closes with practical activation plays using Experian Audiences in Yahoo DSP.


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 Jessica Rocco, a Business Development Senior Director at Yahoo DSP (demand-side platform), about the shift toward agentic workflows and identity-led performance.

How is Yahoo DSP shifting from a platform to infrastructure?

Yahoo DSP has been positioning itself as more of a data backbone than a destination UI. What are the most important integrations you’re building for, and what does ‘plug-in ready’ look like in practice for an advertiser?

Illustration of a central data server connected to multiple nodes

We’re moving from DSPs as destinations to DSPs as infrastructure, as the industry shifts toward agentic workflows. This transformation is driven by data-led decisioning, greater standardization, with the ecosystem ready for it.

The last decade DSP competition has been primarily about UI features. That era is behind us. Today, differentiation comes from exclusivity, integrations, and interoperability. This means at Yahoo DSP we are thinking about where our partners and advertisers are and where they want to be. In practice, that may mean they never log into our UI at all.

Instead, Yahoo DSP becomes a flexible, plug-in-ready infrastructure that integrates directly into their workflows, tools, and agents. That’s why we’re building around two themes:

  • Data: Yahoo DSP’s data can be made accessible through performance tools, transforming it into actionable insights that drive better outcomes for advertisers.
  • Agentic AI: We see the opportunity to make a range of human and non-human activities more efficient, and we offer different paths based on the advertisers’ needs:
    • Use our native agents in Yahoo DSP for better performance and faster execution.
    • Combine our tools with external agents to unlock better decisioning and increased automation.
    • Fully decouple the concept of UI and enable end-to-end workflows powered by your or your partners’ agents.

In summary, we’re building a flexible and interoperable environment where advertisers can bring their planning, buying, and measurement technologies and leverage the Yahoo data and tools to enable more efficient and higher-performing media buying.

Why does identity sit below the interface at Yahoo DSP?

When you say the advantage sits below the interface, what are the core identity building blocks today, and how are you measuring progress, authenticated reach, match rates, deduplication, or something else?

Yahoo DSP treats identity as the performance layer that runs through the full campaign lifecycle. At Yahoo DSP, the core building block of that advantage is Yahoo ConnectID. It’s always activated in Yahoo DSP and powers every step of the campaign lifecycle. Built on top of our Identity Graph and today reaches 213 million logged-in users in the U.S. and 345 million globally (Yahoo data Q1 2026).

The building blocks of our Identity Graph include:

Deterministic and consented data: 

The power of Yahoo ConnectID lies in deterministic data from consented consumer relationships across Yahoo properties and trusted partners.

Privacy-centric approach:

Yahoo ConnectID respects consumer privacy and choice. Consumers can opt out through Yahoo DSP’s global privacy opt-out portal.

Scale and accuracy across households and users:

By resolving identity at user and household levels, Yahoo ConnectID ensures greater accuracy in targeting, measurement, and frequency management.

Interoperability:

Yahoo ConnectID works with 40+ leading Customer Data Platforms (CDPs) and Data Management Platforms (DMPs), enabling seamless first-party data onboarding for targeting and measurement with strong match rates.

The proof is in the numbers: 90% of Yahoo DSP spend runs on Yahoo ConnectID-enabled supply, reflecting the scale, trust, and performance that identity-driven activation delivers.

Why do CTV and live sports validate Yahoo DSP’s approach to identity?

Live sports are one of the toughest environments to get right on connected TV (CTV). Why is it a strong showcase for the Yahoo DSP identity approach, and can you share an example of impact you’ve seen on deduplicated reach or cost per unique household?

Two people watching a football game on a television screen

When it comes to live sports, the challenge is the scale of concurrent viewers. When an ad break occurs during a live sports event, our platform receives a spike of bid requests, which can cause buyers to exhaust their budgets too quickly, leaving valuable inventory unfilled later in the event.

We address this challenge with Yahoo Blueprint Performance, our enhanced AI-driven algorithm, which bids and paces more effectively, with 10x faster response times that consider the size of the spike and the advertiser’s remaining budget and flight (Internal Yahoo DSP data, Q4 2025). The result is not only more of the advertiser’s budget being spent during the event, but also a smoother distribution of impressions throughout the entire event.

Yahoo ConnectID is a key input into Yahoo Blueprint Performance. It enhances effectiveness by enforcing reliable frequency capping at the Household and/or user level, eliminating wasted impressions, improving media budget allocation, and ultimately driving better, more cohesive consumer experiences.

How should marketers activate commerce signals for intent with Yahoo DSP?

As shopper intent and transaction signals come in from commerce partners, what’s the recommended activation workflow, and where do those signals deliver the biggest lift alongside CTV and the open web?

Person using a phone with icons representing online shopping, browsing, and payments

Commerce signals have indeed brought new opportunities for advertisers. Commerce media networks are goldmines of deep audience insights such as consumer behavior, purchasing patterns, product preferences, and more. These addressable audiences offer a perfect opportunity for advertisers to activate effective campaigns. At Yahoo DSP we enable advertisers to activate data from all leading commerce data companies, from retail media networks to travel media networks and a wide range of complementary data partners.

The recommended activation for advertisers is to maximize the effect of these data signals by tying them to a strong identity. This ensures that they maximize their scale and reach consumers across devices and channels. That’s why in Yahoo DSP, Yahoo ConnectID is always on to ensure precision and scale.

Additionally, it’s important that data is being activated across channels, especially CTV. Combining commerce data with CTV enables advertisers to reach engaged audiences while delivering premium, relevant ad experiences. Today, CTV is increasingly influencing mid- and lower-funnel performance. At Yahoo DSP, we provide access to 100% non-walled garden CTV inventory, giving advertisers scaled reach beyond closed ecosystems and enabling consistent identity-based activation across the open web.

Finally, commerce media networks can maximize impact by leveraging solutions that enable them to use their data for measurement and optimization. For example, Yahoo In-Flight Outcomes (IFO) allows advertisers to tie programmatic media investments to sales – even on a SKU level – and in-store visits in near real time. Yahoo Blueprint Performance, our advanced AI model, uses this data for in-flight optimizations that drive results. For example, a leading retail network saw a 22% lift in ROAS when activating Yahoo IFO (Yahoo DSP Q1-Q2 2025).

What drives DSP selection/decision in buyer evaluations in 2026?

In competitive bake-offs, what’s pushing brands and agencies towards their choice of DSP right now: Identity, supply quality, measurement, service model, or economics? And what objections are you hearing most that you’ve had to address head-on?

Icons representing identity, brand-safe inventory, measurement, strategic partners, and AI capabilities

Identity remains top of mind, as advertisers seek scaled, deterministic reach in a privacy-centric manner. Yahoo ConnectID provides that through the scale and quality of Yahoo data, built on hundreds of millions of authenticated users, enriched by interoperability with all leading data companies, such as Experian. Our foundation enables accurate targeting, holistic frequency management, and true omnichannel measurement, while delivering more cohesive ad experiences for consumers.

Second, supply quality and transparency are common concerns. Advertisers want assurance that they are accessing premium, brand-safe inventory and that their investments are working as intended. We address this through direct publisher relationships, curated supply paths, and transparent buying models that allow advertisers to make efficient, informed decisions.

Measurement is another challenge. Brands increasingly expect programmatic investments to prove impact against real business outcomes, not just media metrics. We meet this head-on with proprietary measurement solutions powered by Yahoo data, such as proprietary studies and Yahoo In-Flight Outcomes, complemented by partnerships with leading third-party vendors.

Our teams act as an extension of internal marketing teams, helping unlock smarter budget allocation and performance optimization. Ultimately, the connective tissue across identity, supply, measurement, and optimization is data. That’s why we continue to see programmatic investment consolidate around platforms that have scaled, high-quality first-party data. Strong 1P data is the backbone of effective programmatic, and we continue to see investment shift toward platforms that can offer it at scale and with quality, and Yahoo DSP remains top of mind for advertisers.

Finally, through our Agentic AI solutions, we increase team efficiency and minimize time spent on manual tasks, allowing them to focus on higher-value strategic decisions.

What are practical use cases for Experian Audiences in Yahoo DSP?

With Experian audiences available in Yahoo DSP, what are 2–3 ‘go-to’ plays advertisers should run (e.g., prospecting, mid-funnel qualification, suppression, measurement improvement), and what success metrics should they watch to prove incrementality?

Split illustration showing audience targeting on one side and connected TV viewing on the other

I’ll start with a prospecting use case. Yahoo DSP advertisers can activate Experian’s demographic, lifestyle, household and credit propensity segments to identify high-value prospects, while suppressing their own first-party audiences such as CRM lists, site visitors or recent purchasers to ensure that they are truly reaching net new customers. 

Advertisers can easily leverage the Yahoo Conversion API (CAPI) to send conversion data back to Yahoo DSP and be able to track incremental conversions from these new audiences.

Another example is reaching audiences that are in the market for a purchase. In this case, advertisers can combine Experian’s category-specific audiences, such as auto intenders, with Yahoo search signals to intersect household qualification with real-time intent. For example, an automotive brand can reach consumers who not only fall within priority income bands but are also actively searching for vehicle models or categories.

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About our experts

Jessica Rocco, a Business Development Senior Director at Yahoo DSP,

Jessica Rocco, Senior Director, Business Development at Yahoo DSP

Jessica Rocco is a Senior Director of Business Development for Yahoo Demand-Side Platform (DSP), with over 15 years of experience driving strategic data initiatives and partnerships across the programmatic advertising ecosystem, with a focus on identity, targeting, and measurement.


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Commerce media’s next chapter: Growing revenue without eating your own lunch

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. 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In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships. 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

Published: Mar 03, 2026 by Kevin Dunn, Chief Revenue Officer

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