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
Tapad launches global privacy-safe solution to provide continuity in the absence of third-party cookies Switchboard, a module within The Tapad Graph, will connect emerging cookieless identifiers to traditional IDs, creating a more holistic view of the consumer and driving value exchange within the advertising ecosystem Tapad, part of Experian, a global leader in cross-device digital identity resolution, and a part of Experian, announced today the launch of Switchboard, a first-of-its-kind solution to help navigate the evolving cookieless landscape. Switchboard, a module within The Tapad Graph, will operate as a global, privacy-safe solution to provide continuity in the absence of third-party cookies by connecting new cookieless identifiers to traditional digital IDs for a comprehensive view of consumers and their digital touchpoints. Switchboard will enable interoperability across the growing number of these digital identifiers and the value exchange between publishers, content creators and consumers. Leading digital identity solutions partnering with Tapad, part of Experian at the launch of Switchboard include Unified ID 2.0, ID5, Lotame Panorama ID, BritePool, Retargetly IDx and Audigent Halo ID. Tapad, part of Experian plans to expand support to additional identity solutions on an ongoing basis. In addition to these identity solutions, early partners across the ecosystem include The Trade Desk, Amobee, Martin, ShareThis, Eyeota and Catalina. “This diverse group of launch partners and testing customers will prove that Switchboard is an important tenet for the future of identity resolution. We’re excited to be proactive in our approach to give marketers time to adapt new solutions and test their function in tandem with the third-party cookie, while continuing to give our customers flexibility and control,” said Mark Connon, General Manager of Tapad, part of Experian. “Facilitating access and usage of 1st party identifiers is crucial to help marketers prepare for the cookieless future. Thanks to Switchboard, ID5's cookieless IDs will be available to a wider audience of brands and agencies and enable them to run effective, data-driven campaigns beyond the third-party cookie,” said Mathieu Roche Co-founder & CEO of ID5. Switchboard provides value across the marketing and advertising ecosystem as the need for the ability to support multiple cookieless ID’s across ad tech increases throughout 2021. With a decade of expertise creating digital identity resolution products, Tapad, part of Experian is poised to solve this challenge through innovation and quality, privacy-safe data-driven solutions. “Interoperability is paramount for brand marketers, agencies, publishers and platforms if we want to support an open and free Internet and break free of the stranglehold of walled gardens,” said Pierre Diennet, Global Partnerships at Lotame. ”Lotame Panorama ID’s participation in Switchboard reflects our steadfast commitment to collaborating across and within the industry and providing value to all of its players.” “As advertisers continue to contemplate the future of identity, Amobee is proud to partner with Tapad, part of Experian on this next-generation solution to provide a comprehensive view of consumers,” says Bryan Everett, Senior Vice President of Global Business Development at Amobee. “With the imminent loss of cookies, advertisers must think creatively in order to respectfully engage consumers in a privacy-compliant way and Switchboard can play an important role in addressing their respective identity needs.” Tapad, part of Experian is welcoming identity solutions and Tapad Graph customer participation in Switchboard throughout 2021. Stayed tuned for more updates and information on Switchboard in the coming months. Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!
Adapt with Tapad, a part of Experian Leading browsers have made public announcements and technical deployments to reduce the digital advertising accessibility of third-party cookies for data collection, storage, and sharing due to growing privacy concerns. As a result, there has been growing momentum to find an alternative via cookieless IDs, with the intent to create a replacement that helps ensure continuity across the ecosystem. At Tapad we’ve chosen to approach the market with a solution that provides agnostic interoperability for these cookieless identifiers, so that marketers can continue to work with the identity providers of their choice while maintaining the most holistic view of consumers across digital touchpoints. Introducing switchboard Switchboard is a module within The Tapad Graph that leverages our core capabilities across machine learning and identity management to provide a connection between traditional digital identifiers and the new wave of cookieless IDs that will be utilized in the future. Customers of Tapad can take advantage of its broad ecosystem of identifiers to drive targeting and frequency capping strategies and enable detailed measurement and attribution post-deprecation of the third-party cookie. Our goal is to accelerate the adoption, scale, and utility of cookieless IDs with the release of the Switchboard module within The Tapad Graph, while maintaining an agnostic approach to the market. Switchboard for identity solutions In the evolving landscape agencies and marketers will need to invest, test, and analyze the best combination of cookieless ID partners to meet their objectives. The Switchboard module will increase the utility and value of the cookieless ID space in conjunction with other addressable IDs, by providing a layer of connectivity that will be natively missing with the deprecation of third-party cookies. Identity solutions at launch: Switchboard for graph customers For existing Tapad customers who leverage the Switchboard module in The Tapad Graph, it will provide a seamless way to facilitate interoperability while resolving identity back to a Household or Individual. By providing this translation layer, Tapad will take on the responsibility of encryption and decryption protocols where applicable, which will deliver added functionality to our customers. Tapad + Experian partners at launch: Use cases Resolve existing first-party data with new cookieless solutions through The Tapad Graph to minimize data loss Frequency cap at the Individual and Household level via Cookieless and traditional ID Reach consumers at scale across all touchpoints and IDs Build a more inclusive and holistic view of the consumer journey Run accurate and scalable measurement before and after the formal deprecation of third-party cookies in Chrome Map online data into offline activities Hear why industry leaders are adapting with Tapad + Experian As advertisers continue to contemplate the future of identity, Amobee is proud to partner with Tapad, a part of Experian, on this next-generation solution to provide a comprehensive view of consumers. With the imminent loss of cookies, advertisers must think creatively in order to respectfully engage consumers in a privacy-compliant way and Switchboard can play an important role in addressing their respective identity needs. — Bryan Everett | Senior Vice President of Global Business Development | Amobee Connecting offline and online shopper activity in a privacy-compliant way is fundamental to marketing effectiveness and determining return on ad-spend. That’s why we’re excited to be a launch partner for Tapad + Experian's Switchboard offering; it provides a unified solution for supporting the variety of proprietary and anonymous user ID standards required by advertising demand-side platforms today. — Brian Dunphy | SVP Digital Business and Strategic Partnerships | Catalina As the industry evolves, Tapad + Experian's Switchboard presents a privacy-safe solution that allows for the continued activation of data and an alternative to advertising within walled garden environments. We look forward to collaborating with Tapad and the industry as we collectively transition to support cookieless identity. — Don Lee |SVP of Global Platform Partnerships | Eyeota We are excited to participate in this proactive solution to the sunset of third-party cookies. Switchboard’s agnostic interoperability, with BritePool and other ID providers, will create high-value for marketers as they transition to the era of cookieless web advertising. — David J. Moore | CEO | BritePool Interoperability is paramount for brand marketers, agencies, publishers and platforms if we want to support an open and free Internet and break free of the stranglehold of walled gardens. Lotame Panorama ID’s participation in Switchboard reflects our steadfast commitment to collaborating across and within the industry and providing value to all of its players. — Pierre Diennet | Global Partnerships | Lotame At this pivotal moment in the industry, we are excited to be partnering with Tapad, a part of Experian on their cookieless initiative and making Retargetly IDx available into the Switchboard solution, providing global brands, platforms and publishers with a compliant, cookieless ID solution for the Latin American market; enabling them to target, reach and measure users at scale through the region. — Daniel Czaplinski | CEO and Co-Founder | Retargetly With Audigent’s Halo ID, we’re architecting a cookieless future where clients and partners have confidence in the actionability and interoperability of exclusive 1st party audiences, originated from some of the world’s leading publishers and creators. We see collaboration as being critical to a collective understanding of identity and Tapad, a part of Experian as a trusted partner with solutions such as Switchboard to support continuity for marketers’ addressability. — Drew Stein | CEO and Founder | Audigent Facilitating access and usage of 1st party identifiers is crucial to help marketers prepare for the cookieless future. Thanks to Switchboard, ID5’s cookie-less IDs will be available to a wider audience of brands and agencies and enable them to run effective, data-driven campaigns beyond the third-party cookie. — Mathieu Roche | CEO and Co-Founder | ID5 Addressing the current identity challenge requires transparency and collaboration. We are pleased to align ShareThis data with Tapad + Experian’s growing ecosystem. ShareThis data helps marketers evolve beyond the cookie to complete the picture. Tapad + Experian’s Switchboard offering will support ShareThis’s deep connections to clients and technology platforms, preserving and growing the accessibility of our data. — Michael Gorman | SVP Product and Business Development | ShareThis Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!
With the emergence of email addresses as a currency for brands to communicate with their consumers offline; attaching email data to in-store purchases lays the groundwork for future advertising strategies. However, this advantage in having an additional digital touchpoint also creates a new challenge for marketers. How do they connect what they know about their customers via offline data and PII, or personally identifiable information, with what they want to know about their online behaviors and interactions? Taken a step further, how can they create actionable strategies that connect these two streams of consumer insights in order to drive them to make more future purchases; and even become loyalists? At a time when the shift from traditional to online shopping feels more like a landslide; connecting online and offline data has never been more valuable or more urgent. The solution for these marketers lies in the framework of identity resolution; and a key capability called hashed email onboarding. Hashed email onboarding is a privacy-safe way to connect consumer email addresses to their related digital devices and other digital identifiers. The methodology prevents the consumers actual email address from being readable; while still providing marketers a connection between those emails and other touchpoints for an individual. Instead of understanding the customer journey in two distinct parts; how they interact with a brand or company offline and separately how they interact with a brand online; hashed email onboarding allows for the two parts to be woven together in a holistic view of that consumer. The power of connecting these data sets can be seen when combining offline and online attribution and measurement to improve frequency capping and look-alike modeling. It’s important to note that not all identity resolution vendors that onboard hashed emails function in the same way or provide the same level of data. Some connect only to desktop or only to mobile devices; while others don’t actually make direct linkages at all- they simply provide the hashed emails as a targetable digital audience for upload. While hashed email onboarding and the connection between offline and online data is a powerful strategy; it needs to be as structured as possible across the most data available to reveal truly efficient targeting and measurement strategies. Tapad, a part of Experian has built a hashed email product feature that works with the existing flexibility of The Tapad Graph to deliver the most holistic consumer view in the structure that works best for your business objectives. Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!