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
Article written by Jill Canetta, Experian Marketing Services’ Chief Data Officer, and Mark Pryzbylski, Experian Automotive’s Senior Director of Product Management At this point, it’s indisputable that the COVID-19 pandemic has completely changed everything for everyone on a multitude of levels. And now that the country is moving toward easing stay-at-home restrictions and people are starting to venture out into the world, auto marketers are faced with unique challenges amid an uncertain future and customers who aren’t sure of the best step to take next in their ownership experience or potential vehicle purchase journey. However, that uncertainty provides an opportunity for brands to make deeper connections with current customers and interested consumers—provided they can understand and address their customer’s needs in a supportive way. You need to lead with empathetic messaging that directly addresses their needs and offers support during this challenging time. Data is the starting point, and Experian is ready to help. First, you need to understand what consumer outlook looks like on a national scale, in real time. Using insights gleaned from consumers across the country, Experian created a US Consumer Sentiment Index built on daily survey findings that outlines what customers are thinking and how they’re feeling during COVID-19. As of June 10th, 2020: 44% have automobile payments they need to make monthly, with Millennials and Gen X leading the pack at 50% 21% are considering buying a new vehicle within the next few months, with Millennials at the forefront of this drive at 16% Of those considering a new vehicle, 63% will continue with their purchase as planned, 42% will buy something less expensive, and 18% will consider leasing, with Gen Z leading the last two these categories Certainly, this data can help auto marketers glean the information they may need to begin targeted outreach, especially when sentiment shows there’s still a need and desire to own, lease or rent a vehicle. But this is only part of the picture. To create a complete view of the customer, marketers need to fill in the blanks so they can thoroughly address their needs and let them know they’re both ready to help, and capable of doing so. For example, due to the changing landscape, it’s unlikely that dealership walk-in traffic is going to present the same opportunities for purchase that it once did. This means marketers will have to leverage new avenues to execute their outreach. Using the power of data, auto marketers can identify those who are most likely to be in the market for a new vehicle, such as those coming to end of lease or those who are soon to be in equity on their current vehicles. But how can this information help you in your outreach efforts? Demographic, behavioral, life event, lifestyle, automotive and attitudinal data can help you tailor a compelling message to address their stage of ownership—and potentially address their new or emerging needs as a consumer. Perhaps their child is starting college in the fall and needs a vehicle. Or maybe they’ve downsized and don’t need an SUV anymore, so a compact car would better fit their needs. When it comes to leaseholders, data can show you which leases are coming up for renewal or termination. Regardless of their situation, leaseholders will need to decide on their future vehicle needs whether it means buying their car, leasing another, or going in an entirely new direction—one that may potentially be more cost effective to address the issues they may suddenly be facing. Beyond identifying your target audience, you need to understand how to reach them. We also offer the opportunity for multi-channel media activation, leveraging our relationships with more than 100 media partners and digital platforms to launch and optimize your one-to-one marketing campaign across all channels. And to help you determine the ROI of your offline and online campaigns, our measurement tools help you gain actionable insights for future campaigns with easily digestible dashboards and reports. As we all adjust to the new landscape and find different ways to navigate the current environment, marketers need to be cognizant of how they’re targeting new consumers—especially when the landscape appears to be unstable. By addressing consumers with relevant and thoughtful messaging that supports their needs, marketers now have the opportunity to create deeper connections that can create loyalty that lasts a lifetime. Learn more about how the Experian Marketing Engine for automotive marketers can help.
It’s been more than two months since COVID-19 was declared a national emergency on March 13 and since that time, consumers have dealt with a lot of uncertainty and fear—ranging from the health and safety of their families to financial stability and beyond. With the prospects of returning to normal changing every day, consumers’ feelings around the pandemic and how they’ve adjusted have also shifted and will continue to do so in the months ahead. But just as the situation has been unprecedented for consumers, businesses are also in uncharted territory. Many have had to adapt operational strategies, while maintaining their ability to service their customers. Now, with stay-at-home orders beginning to lift and the easing of business restrictions in most states across the country, organizations will need to listen to their customers to help inform strategy moving forward, including reopening and operating in a post-pandemic environment. To help, we instituted a survey of the general population to better assess how consumer sentiment is shifting during the pandemic. In the five weeks since the data was made available on April 1, we’ve identified trends across a number of key areas of interest. General observations Less than a third of Americans (29%) are satisfied with their current situation; which has been fairly consistent throughout the five weeks.Women appear to have been quicker to grasp the seriousness of COVID-19 and feel the impact of the pandemic on their livelihood. Overall sentiment among women has improved but still remains lower than men. Americans experiencing minimal impact tend to be:Millennial males, residing in western urban areas who rent.Those less likely to watch the media and spend more time on entertainment.Only 10% of Americans are still willing to take on risk—buying investments and assets. Millennials tend to be more optimistic and actively taking on debt, seeking financial advice, buying assets/investments, considering new vehicle purchases. Retail spending heavily impacted 43% of consumers are cutting back on overall retail spend.Groceries and entertainment are the only categories that have experienced increases in retail spending compared to the past month throughout the five-week period. Spending on discretionary purchases like clothing, shoes, accessories, beauty and wellness has been significantly down for the past month.Baby Boomers and to a lesser extent, Generation X have been cutting back spending everywhere except groceries, but Generation Z respondents increased spending in most categories compared to the past month in the most categories. Americans experiencing financial hardship Half of American households are experiencing financial hardship; though the percentage has improved slightly from the beginning of April. Of those experiencing financial hardship, 74% have concerns about their ability to access food and essentials in the next month.More Americans have a financial reserve they can draw on than a month ago, suggesting consumers are adjusting and reducing their risk. The percentage of Americans who believe their situation will get better in the next month or so has increased. Feelings about healthcare remain consistent 62% of respondents are concerned about visiting the doctor, and 37% are evaluating alternative care methods. Health concerns remain prevalent, but Americans are a little less concerned about filling prescriptions than a month ago. A little more than half of Americans are confident of their ability to pay medical expenses if a family member contracts COVID-19 and requires hospitalization—a small improvement since the survey began (46%). Increased media consumption 58% of respondents are spending more time on home entertainment, including streaming services, social media and video games.The survey shows Netflix has benefitted the most from increased TV/movie consumption; but other services have experienced strong gains. Nearly one-third of Americans have increased their video game play during the COVID-19 pandemic; though the percentage is down from its peak in mid-April.Baby Boomers are more likely to have increased their viewing of Cable TV, but much less likely to have increased consumption of any other media sources.Generation Z and Millennials are increasing consumption of a broader array of media, including Instagram, YouTube, video games, Snapchat, Spotify and Tik Tok. How do businesses move forward? Using insights to inform strategy With much of the focus for politicians, local community leaders and health experts shifting to reopening businesses and public establishments, we have to keep in mind, the post-pandemic environment will look much different than what it was just a few months ago. Just because businesses get the green light to open, there may be hurdles to return to “business as usual.” Consumers’ appetite to resume normal engagement with businesses will vary. For instance, some may opt for curbside pickup or delivery options for retail purchases or telehealth services for routine medical needs. Businesses need to adapt to the customer. In an ecosystem driven the customer experience and human connection, gauging consumer sentiment and preference will be a crucial first step. The road ahead will be long, but the more businesses understand their customers, the better positioned they will be to deliver effective communications and also make strategic investments. What programs and initiatives can be started to better serve customers? What areas can be cut to save costs? Our world was turned upside down the last two months and continues to change every day with still many unknowns. As businesses plan for the next few months and beyond, it’ll be critical to understand how consumer mindsets and behaviors are shifting. Relevancy has always been mission critical, but now, more than ever, businesses need to have consumers at the center of their strategies.
Marketers are always looking for creative ways to get the most out of their digital marketing investments. While there may be different paths to optimization, reducing media spend and cutting costs without sacrificing ROI is ideal. We empower marketers to take back control of their budgets and reinvent their media strategies by leveraging the right data at the right time. And, given today’s challenging climate, there’s no better time. Every Business Has Different Deeds Whether you’re a direct-to-consumer brand building a loyal customer base or a financial service simply letting customers know you’re here for them during a challenging time– identity resolution is essential to connecting with your audience without breaking the bank. That’s why we have built solutions that provide flexibility and control when you need it most. Putting Data Into Action Experian's "Tapad Graph" is a global, privacy-safe cross device graph is one powerful file. Updated weekly, and containing customized device IDs and digital attributes, The Tapad Graph enables smarter targeting strategies and a reduction of wasted impressions. What that means is more marketing efficiency and a stronger ROI for your business. Saving resources and money sound good to you? This guide breaks down four ways you can implement cost savings measures without sacrificing performance or prohibiting KPIs. Frequency Capping and Suppression Clustering device IDs by the individual and household means you have access to more ways to reach consumers, but it doesn’t always mean you should be using all of them across every campaign. Hone in on the channels and devices where consumers make most of their lower funnel decisions and purchases – and cap brand-awareness level placements or aspirational media that requires more exposure to generate engagement. This doesn’t mean limiting the devices you target, but being more aware of how often you’re targeting the same person across those devices. If you’ve successfully begun, or heck, even completed the consumer journey with an individual, congratulations. Now, you may want to consider what to do with the rest of the digital devices and users in that same household. Sure, there’s a time for conquesting an entire home of purchasers, but that’s not always the most effective way to maximize your media. That’s why The Tapad Graph is built to be flexible, providing a holistic view of all individuals and their associated devices and digital IDs – so you can suppress them once you’ve conquested the household decision maker or achieved the desired lower funnel activity. Save those impressions for someone else and save money for yourself. The great thing is whether you’re uploading this data into a DMP or a DSP, you can segment your target audience with a frequency cap threshold or suppress them entirely. Not only can you apply these tactics across traditional digital media, but we can include Connected TVs for OTT targeting as well, making your media strategy as holistic as your identity resolution tactics. Cross-Device Targeting and Attribution Consumer behavior and device trends are changing these days, so shouldn’t your digital marketing change too? Desktop usage is now up as much as 22%* as more people are working and learning from home. And remember that old iPad? With more people at home, we’re dusting off more devices and tablet activity is increasing more than 30%*. Sure, people are still constantly on mobile– but it might be time to consider implementing cross-device targeting and optimization for those dayparts when their focus is elsewhere. Identity resolution should be a key element of customer journey mapping and attribution in order to truly give credit to the right channels and build a baseline for the right cost-per modelling. Coupling The Tapad Graph with raw events data can granularly attribute engagement, actions and conversions at the digital ID, device, and even user-level – thereby teaching you more about your customer’s preferences. Leverage these insights to create more tailored messaging and promotions on your owned and operated channels, to funnel impressions to specific screens and platforms, and to target users based on where they are in the purchase funnel. Data That Gives You Control If you’re already implementing cross-device, have you started suppressing the devices where engagement with your brand isn’t happening? That’s right, you can use The Tapad Graph after-the-fact as well. Weekly graph updates with 60-day look-backs enable weekly campaign optimizations. That gives you the flexibility and control to avoid devices and platforms where users aren’t as active. You can only make decisions based on the data you have in front of you, so make sure you're partnering with the right solutions for your business. Does identity resolution sound like something you need? Contact us and we can help you get started with all that The Tapad Graph has to offer. 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!