We’re excited to introduce the next segment in our Q&A series, Ask the Expert! Ask the Expert features a series of conversations with product experts where we dive into the areas you care most about like identity resolution, targeting, attribution, and more. Our next segment features a conversation about sell-side targeting.
Mike Chowla, SVP of Product at OpenX joins us to chat with Experian’s SVP of Sales & Partnerships, Chris Feo. OpenX is the world’s leading sell-side platform for audience, data, and identity targeting. In their conversation, Mike and Chris review:
- The shift to targeting on the sell-side
- How first- and third-party data are being used on the sell-side
- How OpenX is thinking about alternative IDs
What is sell-side targeting?
Sell-side targeting optimizes the way buyers and supply-side platforms (SSPs) work together. This approach moves the responsibility of inventory and audience targeting from the demand-side platform (DSP) into the SSP, providing advertisers with increased reach and better performance.
With sell-side targeting, locating your target audience becomes easier as you have a more direct connection with publishers. This increases your ability to scale against a target audience. Specifically, the SSP directly matches the buyer’s audience or data segment to the publisher inventory and audience and automatically sends the impression to the buyer’s DSP of choice via a deal ID, providing advertisers with improved reach and performance metrics as well as control over their inventory. With more direct access, your budget can likely go further, and you can decrease your effective cost per mille (eCPM) and get more working media.
“Supply-side targeting is the next phase of how supply path optimization (SPO) and buyers will need to work more closely with SSPs.” – Mike Chowla, SVP, Product, OpenX
Buying on the sell-side vs. open exchange
When buying on the open exchange, you have access to a vast number of impressions. With sell-side targeting, you can apply your campaign targeting directly on the supply-side and activate those impressions through a deal ID. Sell-side targeting works across various formats including web display, mobile, in-app, and connected TV (CTV) for a seamless advertising experience.
OpenX offers the unique capability to match users using their device graph within their SSP. This means you can target users from traditional data sources such as cookies or mobile ad IDs (MAIDs) and reach them in CTV or app environments. This gives you even more reach and precision in your advertising efforts.
The role of first- and third-party data on the sell-side
Buyers are showing a keen interest in bringing their own first-party data into the process of sell-side targeting. Meanwhile, certain agencies have been actively involved in working with identity and data. OpenX is currently collaborating with several agency ID solutions such as Choreograph, Merkel, and Horizon.
Buyers are also purchasing third-party data and data segments from various providers through OpenX’s platform for sell-side targeting purposes. By utilizing this data on the supply side, buyers are able to increase the match rate against their first- and third-party data segments in all environments. This ultimately maximizes scale against these audiences and drives a more efficient CPM due to eliminating waste.
Measurement and attribution on the sell-side
In the current state of SSP advertising, there is more of an emphasis on targeting capabilities than measurement and attribution. That said, SSPs can provide granular log level reports that can be utilized for multi-touch attribution (MTA) or mixed media models (MMM). These granular insights not only inform measurement and attribution models, but they also provide valuable optimization insights such as clearing price.
Additionally, advertisers have all of the same reporting options that they’re used to getting through their DSP because their buys are activated via deal ID in the DSP of their choice.
What to consider when transitioning to sell-side targeting
There are two primary items you should consider when transitioning to sell-side targeting:
- Supply
- Reach
Reach
Collaborating with partners who have the right capabilities can greatly improve reach and audience extension across different devices. For instance, if you bring your first-party audience or a third-party audience and are identifying that consumer via a cookie or MAID, being able to extend that targeting segment to other devices and platforms can be highly beneficial.
Supply
It’s crucial to collaborate with partners who have the right access to supply and direct connections with publishers. While targeting is essential, it’s equally important to have high-quality supply to drive performance.
Reaching consumers in a cookieless future
Whether you’re targeting on the demand or sell-side, it always starts with the consumer and who you’re trying to reach.
Significant changes in the consumer privacy landscape are impacting advertisers’ ability to access various signals emitted by consumers through their devices and browsers. Recent developments from Apple and Google have further amplified this situation.
Alternative IDs as a solution to signal loss
In response, we’re seeing the emergence of alternative IDs like UID2, Ramp ID, and ID5. OpenX supports these types of IDs and considers them crucial for audience buying in a privacy-centric cookie-less future.
We are still in the early stages of this evolution. While some of the IDs have good coverage, cookies will continue to be the primary targeting method as long as they remain available.
Nevertheless, we see alternative IDs as one of several solutions that will become increasingly important as third-party cookies disappear. Contextual buying will also emerge, and a set of solutions will come together to enable advertisers to keep finding their audience in a cookie-less world.
Overcoming signal loss with identity resolution
Looking ahead, as we continue to lose signals due to the evolving consumer privacy landscape, we will witness two things:
- Continued fragmentation
- A wide variety of identifiers
Content will continue to be available on various devices. We’re currently experiencing the emergence of connected TV, but who knows what other devices will surface over the next five to ten years. As cookies disappear, which have been the primary identifier, and alternative IDs are introduced, the wide variety of identifiers will create further fragmentation. This highlights the need for identity in the future.
Identity resolution at Experian matches fragmented identifiers to a single profile to create a unified, cross-channel view of your consumers. Our identity resolution solutions can help future-proof your marketing strategies.
How Experian and OpenX work together
Experian is a key player in OpenX’s OpenAudience solution and helps to power many of their data segments as well as their identity graph. While OpenX collaborates with a variety of providers and operates a fully interoperable platform, Experian remains valuable to the core technology within OpenX’s SSP.
“Experian powers a lot of the data segments and identity graph that OpenX has in our OpenAudience capabilities as part of our SSP.” – Mike Chowla, SVP, Product, OpenX
Watch the full Q&A
Visit our Ask the Expert content hub to watch Mike and Chris’s full conversation on sell-side targeting. In the Q&A, Mike and Chris also share their thoughts on the impact artificial intelligence (AI) will have on the AdTech industry and their go-to sources for staying up to date on all things AdTech.
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About our experts
Mike Chowla, SVP, Product, OpenX
Mike Chowla is the SVP of Product at OpenX where he leads product development and innovation, from customer discovery and user research to the development, delivery, and support of a market-leading product suite. Chowla holds a BS in Engineering from the University of Southern California, and an MBA from The University of Pennsylvania.
Chris Feo, Chief Business Officer, Experian
As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats!
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Viewers shift between streaming services, live TV, and on-demand content across multiple devices, making it harder to know exactly who sees your message. Instead of wondering if your ads are reaching the right viewers, it's important to have a clearer understanding of viewing behaviors so you can focus your efforts on the audiences that matter most to your campaign. Experian has collaborated with The Advertising Research Foundation (ARF) to create new opportunities for marketers. By combining data from the ARF’s DASH (Device and Account Sharing) study with Experian Marketing Data, we’ve developed a new way for you to understand and reach modern TV viewers. Instead of estimating who might see your message, you gain a clearer view of viewing behavior and can align activation with the audiences that matter to your campaign. What is the DASH study? The DASH study, developed by the ARF together with the National Opinion Research Center (NORC) and seven industry sponsors, including Experian, provides a detailed picture of how American households consume TV and digital media. This research offers an unbiased and accurate view of media habits, measuring everything from device usage to streaming account sharing. When this viewership data is combined with Experian Marketing Data, it allows for the creation of unique audience segments. These segments are built on real-world media and device usage, providing a more accurate representation of how people watch, share, and engage with TV content. This combination of identity and connectivity helps marketers understand exactly how people engage with media, technology, and their favorite brands. “Television viewing behavior has undergone a massive transformation, making it challenging for advertisers to reach their target audience and optimize frequency. These audiences give advertisers invaluable tools for managing their campaigns in an increasingly fragmented environment.”Doug McLennan, Director of Product Management How do DASH audiences help? By using the DASH study, Experian developed TV audience segments that reflect how people truly interact with content. These audiences provide the insights you need to align your campaigns with actual media consumption habits, helping you reach viewers with more relevant messages. This approach moves beyond basic demographics. It allows you to connect with people based on specific behaviors, such as co-viewing, screen preferences, or household streaming habits. The result is a more focused and efficient advertising strategy that delivers better outcomes. “DASH has established itself as a reliable and unbiased calibration set, a “true North”, for media measurement. Our collaboration with Experian puts the power and precision of DASH in the hands of marketers and advertisers as well.” Paul Donato, Chief Research Officer Which audience segments help you target viewers more effectively? These audience segments make it possible to find specific types of viewers and align your marketing campaigns with their media usage. Whether you’re connecting with people who are receptive to ads, households that enjoy shows together, or individuals who are frequent streamers, you can approach campaigns with greater accuracy and confidence. We’re pleased to introduce these segments and continue our partnership with the ARF, creating new opportunities to help you build effective connections with your target audiences. Explore some of our key audience segments: Ad Acceptors: Viewers who are more open to watching advertisements. Ad Avoiders: People who actively try to skip or block ads. Co-Watchers: Households where multiple people view content together. Solo Watchers: Individuals who typically watch TV by themselves. Paid TV High Spenders: Households that subscribe to multiple paid TV or streaming services. Large Screen Viewers: People who primarily watch content on large television screens. Small Screen Viewers: Individuals who prefer watching on smaller devices like tablets or phones. How can I use these audiences? Experian’s DASH audiences are available in your demand-side platform (DSP) of choice, ready for activation across all offline and online channels. This easy access means you can build more effective campaigns without changing your existing workflow. Using these segments, you can manage your advertising with greater confidence. You gain the tools needed to navigate the fragmented media environment and ensure your campaigns are seen by the right people. This targeted approach helps you maximize the impact of your marketing efforts and achieve your goals. Strengthen your TV planning and activation with DASH audiences. Are you ready to connect with your audience in a more meaningful way? FAQs What is the DASH study? The DASH study, developed by ARF, provides an unbiased view of how American households consume TV and digital media. It measures device usage, streaming habits, and account sharing to create a detailed picture of media consumption. How does Experian help advertisers understand media habits? Experian combines its Marketing Data with insights from studies like DASH to create audience segments based on real-world behaviors. This allows advertisers to align their campaigns with how people actually consume content. What types of audiences can I target with these segments? Audience segments include Ad Acceptors, Co-Watchers, Solo Watchers, Paid TV High Spenders, and Large or Small Screen Viewers, enabling precise targeting based on viewing habits. Why is understanding viewing behavior important for advertisers? By focusing on actual media consumption habits, advertisers can deliver more relevant messages, reduce wasted impressions, and improve the overall effectiveness of their campaigns. 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. As TV becomes more sophisticated, our data and services will enable you to unlock a holistic identity. Chris Feo, SVP of Advanced TV and Platforms, spoke with Broadcasting & Cable about how our data powers measurement, audience insights, and results for businesses within the TV space. "As more and more companies enter the general TV space, whether you're a publisher, an advertiser or anyone in between that's doing measurement, insights, analytics, our data or our services will play a role in some part of that value exchange." – Chris Feo, SVP of Advanced TV and Platforms, Experian Marketing Services 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
Over the past two decades, we’ve seen healthcare become increasingly interconnected. Healthcare systems can share a patient's clinical information in a variety of ways. A Pharmacy Benefits Manager can share it through an Electronic Health Record. An MRI scanner can also capture and store patient images on a picture archiving and communication system (PACS). Despite this wealth of information, according to the CDC, 20 million U.S. citizens don’t have access to medical care when they need it. A patient’s well-being should represent more than their clinical data. How can we increase access to care for those individuals? We can look towards non-clinical factors, like the social determinants of health, for answers. Coordinate care for at-risk patients What if you could identify patients who are likely to readmit due to factors outside of their medical conditions? We can use demographic, geographic, and socioeconomic data to discover patients that need greater access to care. The social determinants of health (SDOH) can uncover factors that may increase the burden of disease for some populations. What are the social determinants of health? They are the conditions in the environments where people are born, live, learn, work, play, worship, and age. Think of factors like safe housing, transportation, job opportunities, and education. These conditions can affect a wide range of health, functioning, and quality-of-life outcomes and risks. What insights can the social determinants of health reveal? Experian Health’s Social Determinants of Health solution offers holistic insight into the financial, transportation, and technological barriers individuals may experience. These barriers could hinder their access to care, medication, food, and housing. It's important to find a solution like ours that offers prioritized, proactive suggestions for interventions that help remove or reduce such barriers for improved health outcomes. Our rich household data sets can provide key insights into the SDOH. This data can answer key questions such as: Are there existing populations with housing instability issues? How much price sensitivity do consumers have for medication? Are there markets or locations that have food instability issues? Is transportation an issue that makes it hard for patients to access care facilities? Are there geographic influences that drive or prevent diagnosis and care? In the chart below, we break down the SDOH into five categories. We outline key considerations that offer insights to provide patient-specific context for your caregivers. Finally, we present patient engagement strategies that are SDOH factor-specific and based on best practice interventions and program types. Social determinants of health data in action While much of healthcare focuses on clinical outcomes, our Consumer View data can provide a wealth of insight into a variety of non-clinical factors that can influence quality of care. A profile of core demographics such as age, ethnicity, and gender can uncover new opportunities or highlight areas where engagement does not align with medical research. We can discover patients at-risk for not being able to access essential services utilizing key, social determinants of health and geographic profiling. When combined with core demographics like age, gender, and ethnicity, we can compare any patient population against expected SDOH norms to uncover significant gaps in access to care. Our data shows that: 1 in 12 households have no access to a vehicle 1 in 4 households are sensitive to the cost of medication 1 in 5 households have very low technology sophistication 1 in 7 households live below the federal poverty level Once you have this data, what can you do with it? You can develop an inclusive education and communication campaign with our data-driven content and contact engagement solution. This solution empowers you to pair the perfect messaging styles with the right channels to deliver a personalized experience to broaden your reach. For those individuals who have little access to technology, an email campaign may not reach them. We can identify additional engagement channels like the traditional newspaper, radio, direct mail, or even broadcast TV to determine the best medium to expand your market while increasing access to care. By using decision making styles and engagement channels, together we can reduce the burden of care on the medically underserved. Let’s drive inclusive healthcare together Develop a more holistic view of your patient population while increasing healthcare equity. We can help you use the social determinants of health for actionable care management. Contact us to learn how you can fold this data into your healthcare ecosystem. Get in touch