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?
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:
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?
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?
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?
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?
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, 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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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 Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts