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.
Latest posts
Magnite and Experian have formed a strategic integration to enhance cross-device audience targeting in the advertising industry. Magnite, the largest independent sell-side platform, and Experian, a leader in consumer data and identity solutions, aim to optimize advertising capabilities by activating Experian's Consumer View in Magnite Access, an omnichannel audience product suite. This marks one of Experian’s first forays into a direct sell-side integration, a crucial step for the cookieless era. This collaboration offers targeting and efficiency across digital channels, providing advertisers and agencies with a more effective way to reach consumers. With Experian's robust deterministic offline data, generated from consumer purchase activity, enriched with insights on over 250 million U.S. consumers and 126 million U.S. households, advertisers can look forward to a new benchmark in targeted advertising available through Magnite Access. Thriving in a cookieless world With the looming deprecation of third-party cookies, audience, and identity solutions using first-party data are shifting to the sell-side. To that end, Magnite developed Magnite Access, a suite of omnichannel audience products that make it easier for media owners and their advertising partners to maximize the value of their first-party data assets. Access is adept at thriving in a post-cookie world through its effective utilization of sell-side first-party data, including within Magnite Streaming and SpringServe. Magnite Access’ deterministic and probabilistic tools provide sellers and buyers with a comprehensive solution to leverage their first-party data for audience targeting and insights. Experian's solutions are built to work efficiently in offline environments, making them well-equipped to thrive in a cookieless world. Brands can benefit from Experian's deep integrations within the ecosystem, providing data and audience solutions designed to perform in cookieless environments. "We're excited about the collaborative approach between Magnite and Experian. This off-the-shelf integration of Experian's syndicated audiences and the streamlined ability to receive custom audiences will provide a more accurate and cohesive consumer view, allowing us to reach our target audience and enhance campaign performance seamlessly."sam bloom, ceo, camelot Reach and impact As companies continue to rely on data-driven insights to make smarter, more efficient business decisions, partnerships between leading data and technology providers are becoming increasingly valuable. "Integrating with Magnite allows us to translate our extensive offline and online data into actionable, intelligent solutions for making smarter, more efficient business decisions. With Magnite's expertise in the omnichannel sell-side environment, this partnership is poised to empower businesses with the tools they need to succeed in today's data-driven landscape."chris feo, svp, sales & partnerships, experian Strengthening foundations within streaming Magnite's cutting-edge streaming solutions, integrated with Experian's robust data, facilitate a connection between data and inventory, providing enhanced targeting capabilities and consumer insights. "By integrating Experian's Consumer View capabilities into our platform, we are enabling advertisers to unlock improved targeting capabilities while benefiting from Experian's wealth of consumer insights. Our collaboration with Experian amplifies the value of our streaming solutions and enhances the overall advertising ecosystem by seamlessly connecting data, identity, and inventory."kristen williams, svp, strategic partnerships, magnite Precision and innovation: A new advertising era The synergistic partnership between Magnite and Experian is paving the way for a new era in advertising, offering targeting efficiency across digital channels. This collaboration is not merely a confluence of technologies but a testament to both companies' relentless pursuit of excellence in creating a consumer-conscious advertising ecosystem. By harnessing the wealth of consumer insights and integrating state-of-the-art technologies, Magnite and Experian are contributing to shaping the future of advertising, emphasizing accuracy and efficiency. It's a revolutionary stride toward understanding and reaching the consumer in more meaningful and impactful ways, setting new benchmarks in the advertising world. In a rapidly evolving digital landscape, this collaboration stands as a beacon, guiding brands toward intelligent, informed, and innovative advertising solutions, redefining the possibilities in targeted advertising and audience solutions. Connect with us to learn more about how you can access Experian’s Consumer View data solutions in Magnite Access. To learn more about our partner Magnite, visit their website. Latest posts
At the recent Beet Retreat 2023 in Santa Monica, a fireside chat featuring Kimberly Gilberti, Experian’s Chief Product Officer, shed light on how connected TV (CTV) is changing content delivery and introducing a profound shift in audience engagement and advertising strategies. In this blog post, we’ll recap Gilberti’s discussion about advertising on CTV. CTV's transformative impact on media consumption CTV brings together the nostalgia of traditional television and the cutting-edge capabilities of digital targeting, opening new doors for advertisers to connect more meaningfully with audiences. This integration heralds a new wave of viewer engagement opportunities. The revolution goes beyond altering content consumption modes; it fundamentally transforms how audiences interact with media. Advertisers now have the tools to forge deeper, more personalized connections with their audience, thanks to CTV. "The evolution of media is exciting, offering endless opportunities due to the vast inventory and engaged audiences. The key to using this is understanding the consumer, the 'who' behind the viewing."kimberly gilberti, chief product officer The evolution of advertising on CTV In CTV, traditional advertising strategies are being re-evaluated. Advertisers must pivot to meet changing viewer trends, focusing on campaigns that resonate on a personal level and harness the targeted delivery capabilities of the medium. Data and technology stand at the forefront of advertising on CTV. Effective collection, analysis, and application of audience data are crucial for creating impactful CTV campaigns. Advanced analytics tools are essential in deciphering complex viewer habits. Companies like Experian are key players, offering the necessary tools and insights for advertisers to navigate the CTV space effectively. "Experian's unique data assets are incredibly valuable. We understand consumers wherever they are, connecting the offline and online worlds. Our database, rooted in real people's information, is extensive and privacy-focused, covering virtually every U.S. household."kimberly gilberti, chief product officer The complexities and opportunities in advertising on CTV Even though the CTV landscape is filled with vast opportunities and significant challenges, one major hurdle is accurately identifying viewers within shared household accounts, complicating targeted advertising on CTV efforts. Additionally, the fragmentation of content across multiple streaming platforms amplifies the challenge of reaching specific audience segments. The presence of 'walled gardens' adds another layer of complexity in achieving a comprehensive understanding of audience behavior across different platforms. Despite these challenges, the potential for effective, personalized advertising on CTV is immense. Key to unlocking this potential is the accurate measurement of ROI and the alignment of content with viewer preferences. These areas of focus underscore the need for sophisticated identity resolution and audience analysis solutions. Collaboration is the key to unlocking CTV's potential The future of advertising on CTV relies on collaboration. Joint efforts from advertisers, agencies, technology providers, and publishers are essential for sharing data and insights while maintaining consumer privacy. This collective approach is pivotal in tackling the challenges of advertising on CTV and harnessing its full potential. As the industry dives deeper into the CTV landscape, insights from Beet Retreat 2023 and leaders like Gilberti underscore the importance of understanding and engaging with your consumers. The collaborative efforts of the industry, bolstered by technological and data-driven expertise, are critical in capitalizing on the power of CTV. Experian’s Collaboration solution connects our client's and partner's data to unlock more robust insights, smarter activation, and more holistic measurement for online and offline media efforts. To learn more about what our data collaboration services can do for your business in this new era of CTV, visit our website or connect with a member of our team today. Start collaborating with Experian Latest posts
In the fast-paced advertising world, collaboration is crucial to keep up with the flux in consumer behaviors. Samsung Ads and Experian have joined forces to address this challenge. This partnership aims to equip marketers with the necessary tools and insights to create compelling and impactful content that resonates with the right audience at the right time. By combining our expertise and precision, through this new partnership, we promise to maximize the reach, effectiveness, and efficiency of advertising campaigns. This collaboration ensures that marketing messages get noticed and strike a chord with the intended audience, leading to meaningful engagement and measurable outcomes. The Samsung Ads and Experian collaboration The powerful integration between Samsung Ads and Experian brings together Samsung Ads’ industry-leading viewership data and massive device scale with the detailed data insights of Experian. This combined effort enhances the effectiveness of advertising campaigns by merging scale with precision. Advertisers can now reap the benefits of a comprehensive solution that delivers customized content to a wide audience with unparalleled accuracy. “Navigating the dynamic landscape of digital advertising requires innovative solutions and strategic collaborations. This partnership with Samsung Ads exemplifies our commitment to empowering advertisers with data-driven insights that reach and resonate with audiences. With Experian Marketing Data directly accessible within the Samsung DSP, advertisers are equipped to orchestrate campaigns with unprecedented precision and impact, marking a significant stride in personalized advertising." chris feo, svp, sales & partnerships, experian Samsung Ads: Orchestrating reach and precision Samsung Ads’ suite of advertising solutions uses Samsung’s massive global scale to bring advertisers unmatched opportunities to engage consumers across every screen, during every moment that matters, delivering quantifiable results on a massive scale. Samsung DSP: Key features and benefits Samsung Ads believes that smarter advertising doesn’t need to be more complicated. With Samsung DSP, every intuitive feature is engineered to make media simple again, offering advertisers the ability to reach their audience more effectively, across every screen. Addressable TV Transforms traditional viewing experiences by delivering personalized content to specific households, enhancing engagement and connection. Contextual targeting Nurtures audience engagement by placing ads in relevant content environments that amplify their relevance and impact. Global reach Navigate the digital expanse with agility, delivering content to millions of consumers across devices and platforms, in brand-safe environments. Data-driven targeting Combine Samsung Ads' unrivaled proprietary device data with Experian's insights, to translate global reach into personalized consumer engagement. “The new partnership between Experian and Samsung Ads is an exciting development for advertisers as they look to maximize the effectiveness of their marketing campaigns. With hands-on access to Experian’s identity solution and audiences directly within our platform, Samsung DSP, advertisers can now better address their most important audiences on the screens they use most.”alex boras, platform lead, samsung dsp Why choose Experian in Samsung At Experian, data is more than just numbers; it tells detailed stories about what consumers like, how they behave, and their experiences. Each piece of data supports the connective networks that offer advertisers nuanced insights and actionable strategies. Ease of use Experian syndicated audiences take the guesswork out of developing segments, and they are available turnkey on the Samsung Ads shelf. Expansive reach, scale, and flexibility Our breadth and depth of data ensures detailed and targeted insights, spanning multiple verticals and can be directly attached to households, providing contextual relevance to each consumer's behaviors and purchase patterns. A rich data set that encompasses 126 million households and 750 million hashed emails 5,000 data attributes for enrichment, licensing, and audience creation 2,400 ready-to-use audiences on integrated platforms spanning 8 verticals, complemented by an average of 2,300 attributes per household and 250 attributes per consumer Four benefits to advertisers The partnership between Samsung Ads and Experian offers a plethora of benefits to advertisers, including: Enhanced audience targeting You can use Samsung Ads' ACR data and Experian's syndicated audiences to create highly targeted campaigns that reach the right audience at the right time. This can lead to significant improvements in campaign performance, such as increased engagement, conversion rates, and ROI. Optimized ad spend You can reduce wasted ad spend by using Experian's data to identify and avoid audiences less likely to be interested in your products or services. This can help you get the most out of your advertising budget. Improved attribution You can better understand the consumer journey by tracking how audiences interact with your ads across different devices and platforms. This information can be used to optimize campaigns and improve overall performance. Brand safety You can ensure that your ads are displayed in safe and secure environments by using Samsung Ads' brand safety solutions. This helps to protect brand integrity and reputation. Samsung and Experian are steering the future of advertising Together, our goal is to bring personalized and improved ad experiences to the forefront. This partnership allows advertisers to tailor their ads to individual consumer interests and needs, using the rich consumer data insights provided by Experian. Additionally, the partnership offers measurable aspects that allow advertisers to assess the effectiveness of their campaigns across various platforms, increasing their return on investment. By enhancing the overall ad experience, Samsung and Experian ensure that ads are more relevant and less intrusive, improving consumer engagement. Connect with us to learn more about how you can access our syndicated audiences in Samsung’s DSP. To learn more about our partner Samsung Ads, visit SamsungAds.com. Latest posts