Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting 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: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. 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: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General 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.

Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
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: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.

Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. 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.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. 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. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.

Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. 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: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
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 starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.

Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. 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: 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.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.

We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
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.
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Industry leaders recently gathered at the influential Beet Retreat 2023 conference held in Santa Monica, sharing forward-looking perspectives on the future of advertising. This renowned event known for its diverse mix of leaders from TV, agencies, advertising, and technology sectors, was enriched by insights from Experian’s very own Chris Feo, SVP of Sales & Partnerships, and Kimberly Gilberti, Chief Product Officer. Both Feo and Gilberti brought their expertise and perspectives for harnessing the potential of high-growth connected TV (CTV) advertising. The era of connected everything at Beet Retreat 2023 In the “Era of Connected Everything,” panel, Feo dived into the concept of a ‘connected everything’ world. He emphasized the importance of balancing consumer and privacy expectations with the increasing integration of AI and machine learning. “As decisioning evolves, creative tech and data derived from creative scale will play a bigger role.”chris feo, svp, sales & partnerships Feo further discussed the potential of creative technology, particularly in how AI and machine learning could revolutionize content personalization. He cited examples where the same creative content is used indiscriminately across diverse demographics, suggesting a future where creative content adapts and performs well for a variety of audience identities. Experian's balanced approach at Beet Retreat 2023 During a fireside chat, Gilberti shared her vision on the transformative role of television in the advertising technology landscape. “Connecting exposure to business outcomes is the holy grail of measuring CTV and effectiveness.”kimberly gilberti, chief product officer Her insights reflected the growing interplay between digital and traditional TV advertising, and the opportunities arising from this convergence. Gilberti emphasized the critical role of data analytics in enabling advertisers to tailor content more effectively to diverse TV audiences. She envisioned a future where the integration of digital strategies and traditional TV advertising create a more cohesive and impactful AdTech approach. Future focus: Diversification and partnerships Both Feo and Gilberti underscored the need for advertisers to diversify their partnerships. By working with a variety of partners, you can mitigate risks and foster innovation, ensuring you are not overly dependent on a single channel or approach. Navigate what’s next with Experian Experian's contributions at Beat Retreat 2023 underscore our pivotal role in the AdTech industry. With a unique balance of offline and online data expertise, we are not just adapting to changes but leading the way in innovation and strategy. Our insights and approaches, as highlighted by Feo and Gilberti, demonstrate our commitment to guiding the industry through its rapid evolution, making our role indispensable in the future of advertising technology. At Experian, we’re your partner in data-driven marketing and can help make your interactions more meaningful. To learn more, connect with a member of our team today. Connect with us Latest posts

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In this article… What is a walled garden? Integrated marketing is more important than ever Perspectives on walled gardens from Cannes Lions 2023 Walled gardens aren’t going away in the near future The fuure of walled gardens Digital marketers face an ongoing challenge in the form of "walled gardens," closed online ecosystems where it is difficult to access user data. As we get ready for 2024, it's more important than ever for marketers to evaluate the current challenges and opportunities surrounding walled gardens and to take stock of the impact of walled gardens in marketing as an industry. What is a walled garden? A walled garden is a closed online ecosystem controlled entirely by one tech company. Advertising on these ecosystems is fairly locked down, as major tech companies with walled gardens tend to tightly control access to the user data, content, and advertising that appears within the ecosystems. Some examples of walled garden ecosystems include Google, Facebook, Amazon, and Apple. These walled gardens have particular advantages, like access to massive user bases and precise targeting within the individual ecosystems. It can also be difficult to reach said audiences outside of the ecosystems, reducing the amount of control you have over your advertising strategies. Learn more about walled gardens. Learn the differences between walled gardens and hedged gardens. Integrated marketing is more important than ever Today, it's become more crucial to connect with consumers over multiple touchpoints, which can be done from tech like connected TV (CTV) to websites, mobile devices, and even shopping in a physical store. However, as integrated marketing gains utility, many platforms with walled garden ecosystems have increased, making a truly integrated and personalized marketing strategy more difficult in many situations. As a result, many marketers have realized the value of a more streamlined marketing approach, emphasizing the importance of fully integrated advertising strategies. Though there are surely marketing advantages to gain from walled garden ecosystems, especially in audience size, the challenges they pose will require you to innovate and find more creative ways to engage with your audience from platform to platform. Perspectives on walled gardens from Cannes Lions 2023 Offering a poignant view of industry trends and ideas, the Cannes Lions International Festival of Creativity of 2023 had much to say about the significance of walled gardens in the marketing world. Let's look at two key takeaways from this year's festival. Retail media In recent years, many retail companies have started selling ad space within their own walled garden shopping platforms, dubbed "retail media." Platforms like Amazon and Walmart have developed their own particular advertising ecosystems where they sell ads to marketers within the shopping environment itself. Navigating the sell-side of retail media’s walled gardens While retail media offers marketers unique opportunities, it's not without its challenges. For one, ad space in these environments is limited, so the competition can be difficult on the sell-side, leading to higher ad costs. Additionally, this shift in dynamic also forces marketers to change how they prioritize their marketing channels, looking closer at the results of their efforts rather than focusing on particular channels within the platforms themselves. Opportunities in the buy-side of retail media’s walled gardens Brands on the buy-side see various benefits from advertising within retail media channels and walled gardens. By browsing in an online shopping environment, the users in these ecosystems are likely high-intent shoppers, people who are further down the sales funnel and who are ready to make a purchase soon. Shoppers can also be precisely targeted within these environments, as marketers are given the ability to access very specific audience segments based on details like shopping behavior, preferences, and even purchase history. Omnichannel marketing To more effectively engage audiences even among an abundance of walled garden ecosystems, speakers at the 2023 Cannes Lions Festival discussed the importance of omnichannel marketing. By emphasizing strategies that reach the consumer through multiple touchpoints, marketers can deliver a unified brand experience across channels. This allows marketers to focus more on results than specific advertising channels, including walled garden platforms. Walled gardens aren’t going away in the near future Though various challenges are associated with walled gardens in advertising, they aren't going anywhere. So, what's the current state of these environments throughout the industry? Efforts are being made to break down walled gardens in tech In a handful of countries, regulatory actions have been put forward to address how dominant many major tech companies are in their respective markets. One major example of this is Meta and Google's entanglements in Canada. Currently, neither company can display news on their websites in the Canadian market. This decision was reached to give Canadian news agencies more control over their advertising revenue since, previously, the tech giants received more views and, therefore, gained the ad revenue. Though relatively small, this does indicate a certain shift in dynamic. Why companies are resisting Despite their challenges, walled gardens in 2023 persisted, mainly because they are particularly adept at generating revenue for the tech companies that control them. In 2022, 78 percent of global digital advertising revenue came from these closed ecosystems, and projections expect that figure to rise to 83 percent by 2027. From the viewpoint of a company that operates in a walled garden, the idea of releasing their control over their environment represents losing out on a stream of vast revenue, making letting go of a walled garden ecosystem an unattractive prospect. The future of walled gardens As time progresses, what can digital marketers like you expect from walled garden ecosystems in the near future? A cookieless future A huge element to consider is the transition to a cookieless future. Many major browsers have begun phasing out the use of third-party cookies. 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Navigating the evolving landscape of walled gardens in 2024 As we begin 2024, you will continue facing opportunities and challenges regarding walled gardens. The 2023 Cannes Lions International Festival of Creativity re-emphasized how important it is for marketers to stress omnichannel marketing within walled garden environments and become well acquainted with identity resolution solutions as we move into a cookie-less future. All of this requires you to become comfortable with walled gardens being here to stay and innovate to navigate an evolving and developing landscape. We’re here to help you navigate the evolving landscape of walled gardens in 2024. Contact us today. Get in touch Latest posts

