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.
Contact us
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.
Latest posts
Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today
For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Contact us today
With the long-term effects to the economy unknown, many consumers are feeling the financial impact, while others are looking for opportunities, resulting in a transformational shift in spending. Some brands are experiencing decreased or paused marketing budgets, and you may be trepidatious about making the right decisions in your efforts to grow share of wallet. Recent events have been an impetus for change and we’re seeing brands make modifications to traditional marketing strategies. Some are developing innovative technologies and utilizing new sources of data and analytics. As we look at how these changes impact marketing results, we see the gap grow between those brands who are equipped to pivot and implement new strategies quickly, versus those who are not. So what steps can your organization implement now to make the smartest choices for both your customers and your business to secure more share of wallet? Here are four ideas to accelerate the success of your next financial marketing campaign: 1. Meet your customers wherever they are: Digital-first strategies have never been more relevant than they are right now. While consumers have fully embraced online engagement, marketers are even more focused on reaching high-value segments in the channels they utilize. By using an informed, data-driven strategy that includes preferred marketing communication channels and decision-making styles, engagement increases across those channels your target audience frequents the most. For example, are they heavy social media users? Do they prefer streaming TV? Or do they tend to rely on financial advice vs. performing their own research? To drive take rates, your audience must be exposed to a tailored message, in the right channel, and possibly multiple times. 2. Use messaging that resonates: As consumers refocus priorities, their expectations of brands with whom they do business are ever-increasing. Reflecting an understanding of the current needs and interests of your customers and prospects is an undertone that can only help strengthen their view of your brand. Consumer behavior has changed and is unlikely to revert to what was, so you want to be relevant, but you also do not want to be seen as ‘tone deaf’. As a result, consider revising your segmentation strategy to leverage predictive insights, such as household economic indicators, financial behaviors, lifestyle propensities and interests to help shape your message into one that truly makes an impact. 3. Prove the worth of your campaign: New consumer journeys are being formulated and showing ROI is imperative as your marketing budget is scrutinized. Having the right industry-relevant metrics and reports to analyze and share with leadership are key. Demonstrate that your campaigns are contributing to bottom-line success—and justify future campaigns—by using data-driven measurement insights collected across multiple reads and countless touchpoints. Marketing budgets are being scrutinized now more than ever, so showing ROI is critical. Having the right metrics and reports to analyze and share with leadership are key. 4. Follow government regulations—leverage Fair Lending-friendly audiences: Whether you’re cross-selling or prospecting, now is the time to identify the right audiences with rich data insights to not only execute impactful campaigns but adhere to government regulations that protect consumers and your organization. Trusting that the data you are activating follows Fair Lending Laws, including the Equal Credit Opportunity Act (“ECOA”) and the Fair Housing Act (“FHA”) is crucial. The Federal ECOA prohibits creditors from discriminating against credit applicants on the basis of several prohibited factors. Developing people-based segments that are not derived using these factors positions you to follow these regulations. Check out our previous blog post about Fair Lending-friendly audiences here. As you transition to new operating models, access to current and accurate consumer data can provide confidence in campaign potential, help you avoid business risk, enable you to respond to market changes and make better decisions. Experian can help you implement these strategies and put your brand unique position for growth. From start to finish, we provide the marketing solutions you need to plan, build and execute successful, Fair Lending-friendly campaigns to cross-sell to existing customers and acquire new customers. *Experian Fair Lending-friendly audiences do not constitute legal advice or otherwise assure compliance with the FHA, ECOA, or any other applicable laws. It’s recommended to seek legal advice with respect to the use of data in connection with lending decisions or application and compliance with applicable laws. Contact us today