At A Glance
Experian and Yieldmo collaborate to help marketers navigate signal loss with privacy-safe contextual advertising. By combining Experian’s identity solutions with Yieldmo’s advanced targeting, this collaboration enables effective audience engagement in a world with fewer traditional signals.Note: While third-party cookies are no longer being phased out, this webinar was recorded in 2023 when cookie deprecation was still a key industry focus. The strategies discussed reflect that time frame and remain relevant for addressing broader signal loss challenges.
With major browsers discontinuing support for third-party cookies, marketers must rethink how to identify and engage their audiences. Contextual advertising offers a privacy-safe solution by combining contextual signals with machine learning to deliver highly targeted campaigns. In a Q&A with our experts with eMarketer, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions at Experian, and Alex Johnston, Principal Product Manager at Yieldmo, we discuss how contextual advertising addresses signal loss, improves addressability, and delivers better outcomes for marketers.
The macro trends impacting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason (Experian): Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex (Yieldmo): Third-party cookie loss is already a reality. As regulations like theGeneral Data Protection Regulation (GDPR) and the California Consumer Privacy Act(CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now! Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Solving signal loss with contextual advertising
How does contextual advertising help marketers engage audiences with new strategies like machine learning and artificial intelligence (AI)?
Jason (Experian): Contextual advertising helps marketers engage audiences by combining advanced machine learning with privacy-safe strategies. We focus on using AI and machine learning to better understand behavior, respect privacy, and deliver insights. As third-party cookies go away, alternative identifiers are coming to market, like Unified I.D. 2.0 (UID2). These are going to be particularly important for marketers to be able to utilize them. As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex (Yieldmo): There’s been a renaissance in contextual advertising over the last couple of years. Three key drivers are shaping this shift:
- The loss of identity signals is forcing marketers to rethink how they reach audiences.
- Advances in machine learning allow us to analyze more granular contextual signals, identifying patterns that are most valuable to advertisers.
- Tailored models now use these signals to deliver more effective campaigns. This transformation is occurring because of our ability to capture and operate on richer, more detailed data.
Reach consumers with advanced addressability
How does advanced contextual advertising help marketers reach non-addressable audiences?
Jason (Experian): Advanced contextual advertising helps marketers reach non-addressable audiences by taking a set of known data (identity) and drawing inferences from it with all the other signals we see across the bidstream. It’s about using a small seed set of customers, those who have transacted with you before or match your target audience, and training contextual models to make the unknown known. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Alex (Yieldmo): I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space. High-quality, privacy-resilient data sets are critical for building these campaigns. Companies like Experian, with deep, rich training data, are well positioned to support advertisers in building extension audiences.
Creative strategies that improve ad performance
Why does creative strategy remain essential for digital advertising success?
Jason (Experian): Creative strategy remains essential because it provides valuable signals for targeting and engages audiences effectively. In this advanced contextual world, good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex (Yieldmo): Creative and ad formats are powerful signals for understanding audience engagement. At Yieldmo, we collect interaction data every 200 milliseconds, such as scrolling behavior or time spent on an ad. This data fills the gap between clicks and video completions, helping us build models that predict downstream actions. Tailoring creative to specific audience groups has always been one of the best ways to improve performance, and it remains essential in this new era of contextual advertising. Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is.
Our recommendations for actionable marketing strategies
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason (Experian): My recommendation for marketers building out their yearly strategies is to be proactive and start testing and learning these new solutions now. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex (Yieldmo): Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Contact us
About our experts
Jason Andersen
Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston
Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.yieldmo.com.
About Yieldmo
Yieldmo is an advertising platform that fuses media and creative to meet audiences in the moments that matter. Using proprietary data and AI, Yieldmo uses advanced targeting to deliver context-aware creative when and where it’s most effective, all while respecting user privacy. The result: ads that belong on inventory brands trust. For more information, please visit www.yieldmo.com.
Contextual advertising FAQs
Contextual advertising works by targeting audiences based on the content they’re engaging with, rather than relying on personal identifiers or traditional tracking methods. Yieldmo’s platform uses advanced contextual signals and machine learning to deliver relevant ads in privacy-safe ways.
Contextual advertising addresses signal loss by focusing on environmental and content-based signals instead of relying on thir-dparty cookies or other traditional identifiers. Experian’s identity solutions complement this approach by enabling marketers to connect with audiences in a compliant and scalable way.
Creative is important in contextual advertising because it engages audiences and provides valuable signals for targeting. Yieldmo’s platform collects interaction data, such as scrolling and time spent on ads, to refine campaigns and improve performance.
Marketers can reach non-addressable audience through advanced contextual targeting, which uses known data, like seed audiences, to identify patterns and extend reach. Experian’s identity solutions and contextual data from, Audigent, a part of Experian, help marketers connect with these audiences in privacy-safe and effective ways.
Latest posts
The concept of identity resolution has emerged over the years as a strategic imperative among marketers and technology vendors. A report by Forrester contends that accurately establishing and maintaining customer identity is one of the most perplexing challenges facing marketers today. Customers have footprints in the offline and online worlds and tend to seamlessly transition across various channels and devices – presenting a unique challenge to truly understand who they are. But the ability to stitch these disparate components of information together means marketers can make better decisions and have more meaningful interactions with their customers. And for customers, this means an experience with personalized advertising content more likely to resonate with them. Why should marketers prioritize identity? The ability to accurately identify customers is the most basic prerequisite for marketing analytics, orchestration and execution. As such, it is becoming increasingly important for brands and marketers planning to link together disparate systems of audience insights and engagement to foster a more seamless and personalized omnichannel customer experience. For example, if an advertiser can identify a customer’s interests, as well as how that person prefers to consume information, then the advertiser can create and deliver messaging that will resonate with the customer. However, like most competitive differentiators, the mission critical components to accurately determine an identity reside within the suite of identity management tools at the marketers’ disposal and the expertise required for proper execution – a struggle for most marketers. But when properly implemented, a comprehensive customer identity strategy can be among a brand or marketer’s most valuable and proprietary assets. Where to begin with identity resolution? With the convergence of CRM platform data, cross-channel online touchpoints, offline record linkage management, probabilistic cross-device graphs, and data onboarding—evolving from point solutions to unified platforms—marketers are faced with an increasingly complex set of challenges in addressing and solving for customer identity management. To properly implement from the get go, and to avoid having to bolt on disparate technologies down the road, emerging industry trends and success stories suggest marketers need a neutral technology service provider that can provide each of these solutions via a single, unified platform. A vendor that can build a solid identity management foundation comprised of omni-channel targeting and attribution, cross-device resolution, online-offline linkage management, and data onboarding form the nexus of a cohesive identity strategy, built to last. Experian helps connect consumer identity As a trusted name in data and information services for more than 40 years, we are committed to privacy by design and the responsible usage and security of data. Whether you’re a brand, agency, or publisher, Experian has the wide-ranging toolset to help you put people at the heart of your business and make better marketing decisions. By harnessing the power of the sum of these parts, fusing both offline and online identifiers and attributes, Experian has established a leadership position in identity management. If you're ready to begin building your identity foundation, contact us and get started today! Learn more about why identity matters to marketers and consumers, here! Contact us today
Partnership Yields Increased Match and Connectivity Rate Through Tapad Graph, acquired by Experian March 27, 2018 — New York, N.Y. — Tapad, part of Experian, is reinventing personalization for the modern marketer and today announced the impactful results of its strategic partnership with Flashtalking, the leading global independent platform for ad delivery, unification and insights. Flashtalking is one of Tapad's most engaged partners, using the Tapad Graph to unify cross-device engagement and identity-driven consumer behaviors for attribution modeling. The company leverages a unique identifier that, in conjunction with Tapad's Graph, provides robust multi-touch attribution solution for its clients. This partnership has resulted in above-industry match and bridge rates for Flashtalking and its customers. Overall, the Tapad Graph yielded a 71 percent match rate with 41 percent of converters engaging on multiple devices, highlighting the importance of cross-device measurement. Tapad’s identity solutions provide Flashtalking with a more holistic view of global engagement. Flashtalking marries ad server log file data with the Tapad Graph to connect all interactions in the consumer journey. This enables Flashtalking to provide more accurate and impactful cross-device attribution, which ultimately enables better optimization. These achievements have led to recognition of Tapad and Flashtalking’s work by the I-COM Global Forum for Marketing, Data and Measurement. “Tapad allows us to understand user engagement across devices and platforms at both the household or individual user level, which is extremely beneficial when providing marketers with true path to conversion and attribution,” said Steve Latham, global head of analytics at Flashtalking. “Since our relationship began, we’ve successfully leveraged Tapad data to provide more accurate, actionable insights that have helped numerous brands achieve substantial gains in media effectiveness.” Flashtalking client Michael Lamontagne, SVP of analytics and CRM at 22squared says “We are big believers in using cross-device insights to improve our campaigns. Flashtalking has been a strategic partner in the pursuit of that goal. By incorporating the Tapad Graph, Flashtalking delivers powerful insights into user engagement and media attribution across browsers and devices. Of equal importance, their bundled solution makes it easy and efficient, saving our team countless hours of busy work.” “Our ongoing work with Flashtalking has had a significant impact on the accomplishments we’ve achieved,” said Chris Feo, SVP, strategy & global partnerships at Tapad. “Being able to grow with a dedicated partner that leverages our proprietary technology in unique ways has helped us uncover the global impact our services can have on a business. We’re proud to drive success for Flashtalking’s clients on a global scale.” Contact us today
The Tapad Device Graph™ Complements Freckle’s IoT Capabilities to Extend Scale and Precision of Audience Data New York, NY — December 6, 2017 — Tapad, part of Experian, is the leader in cross-device marketing technology and Freckle IoT, the global leader in multi-touch, offline attribution, today announced they are partnering to provide brands with a holistic and insightful view of their customers, in predefined locations in all global markets. Starting today Freckle IoT will be leveraging the Tapad Device Graph™ to supplement the company’s data set to offer brands more granular attribution data. Consumer’s online behavior is becoming more and more complex, with the average consumer owning three or more devices and 35 percent of consumers converting on a different device from the one on which they started their research. These interactions become even more complicated when considering how online interactions and media impact offline sales. The collaboration between Tapad and Freckle, which combines Freckle IoT’s persistent location data with Tapad’s proprietary cross-device technology, is an important step in empowering brands with the information they need to better understand how digital media, consumed across multiple devices, is impacting offline attribution. Using its opt-in, first-party data, Freckle IoT helps brands measure the effectiveness of their advertising by independently matching media spend to in-store visits. Tapad’s technology extends Freckle’s data-set by allowing brands to access additional deterministic and probabilistic data, at scale and across all devices, to analyze consumer behavior ahead of in-store purchase. “Combining our technology with Tapad’s identity-driven solutions was a natural fit for our business,” said Neil Sweeney, founder and CEO at Freckle IoT. “With our unbiased, agnostic measurement and Tapad’s precise and privacy-safe data set, we knew this partnership would be a strong complement to providing more effective results for the needs of our brand partners.” “Freckle IoT is a valuable partner for Tapad as our cross-channel attribution capabilities continue to expand at global scale,” says Chris Feo, SVP, strategy and global partnership at Tapad. “Marketers today need a tool that can address the online and offline disconnect throughout the consumer journey. Freckle’s IoT innovations combined with the Tapad Device Graph help address this need by providing brands, across multiple verticals, accurate and precise identity-driven data powered by true consumer behavior — online and offline.” For more information on Freckle IoT’s measurement offerings, please visit www.freckleiot.com. Contact us today