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

Early successes include revenue increases, global partnerships and fundraising NEW YORK, March 16, 2017 /PRNewswire/ — Tapad's entrepreneurial mentorship initiative, the Propeller Program, has seen extremely positive results since it began in September 2016. The five early-stage startups selected from Norway have gained momentum in establishing a U.S. presence. Tapad, now a part of Experian, is the leader in unified cross-device marketing technology. The company was acquired by the Telenor Group in 2016. Among the successes within Propeller: Xeneta, the leading ocean freight price comparison platform and contracted rate database, has raised an additional $12M in funding since beginning the Propeller Program. Before the end of 2016, the company had exceeded its revenue expectations by nearly 30 percent, proving the European-focused business could succeed in the American market. "Aside from directly impacting our revenue, the Propeller Program has provided us with incredible access to a countless number of external resources, including subject matter experts from the fields of fundraising, public speaking, corporate structuring and immigration law," said William Di Ieso, GM of North America for Xeneta. "We remain extremely grateful for the opportunity and exposure the program has provided for Xeneta." Bubbly, an in-store real-time engagement tool for non-buyers, now has clients on four continents. After only a few months in the U.S. market, Bubbly has signed deals with one major retail brand, one major toy manufacturer and a major global consulting firm. The Propeller Program has also opened doors for greater opportunities in Scandinavia and EMEA. After an introduction to Telenor Group's President and CEO Sigve Brekke, Bubbly is currently piloting its IoT kiosk with the company. "The mentoring sessions have been very valuable and have given us guidance as to how to best enter the U.S. market," said Marianne Haugland Hindsgaul, Bubbly CEO and co-founder. "Learning to do business in the U.S. is not something you can necessarily learn from a book. The most impactful lessons are based on real-world experience, and that is what the Propeller Program has given us." BylineMe, a marketplace for freelancers, publishers and brands to connect for content creation and distribution services, has built an extensive network of potential clients and investors. The company has tested its product in the U.S. market and gained valuable feedback for further development. Eventum, a property-sharing group that digitally assists in securing venues for meetings and corporate events, has closed a seed round of funding for nearly $1M. Eventum has also made key hires in the areas of business development and engineering. Socius, under the influence of Tapad, pivoted into the ad tech space, positioning itself as "a social native ad platform" for digital publishers. The company has attracted top talent to begin building out its U.S. business development and sales divisions. As a result, Socius has signed a host of premium publisher partners to validate its exciting new direction. "It is so rewarding to be able to support these Norwegian startups in a meaningful way," said Are Traasdahl, CEO and founder at Tapad. "Mentor relationships are critical for strategic growth, and I am proud to be able to pay forward the experiences I have gained as an entrepreneur. To me, the Propeller Program is a shining example of the magic that can happen when Norwegian innovation meets American opportunity." Contact us today!

Oh, how the time flies. We’re already into March of this young 2017, and as much as it pains me to say, it’s probably about time we begin thinking about Holiday 2017. But such is life, and if we have to do it, we might as well do it right. So how do we start to think about “doing it right” in Holiday 2017? Well, as an analytics guy, I might be biased, but I believe the data contains the answers. While there are obviously many more factors, which you can see in our 2016 Holiday Insights webinar, data points and concepts to consider, let’s dive into a few interesting 2016 holiday marketing insights that can help you begin prepping for this upcoming holiday. First, a quick note on the data in this post – all data is collected from a holistic study that examines a single inbox designed to mimic the “average” consumer…and since, on average, most email subscribers aren’t doing more than opening, we make sure that no content is clicked through and no transactions are recorded. We then coded each email on a variety of different metrics, some of which you’ll see below. Finally, in order to increase the robustness of our evaluations, we examine each brand within the study individually, first by calculating the overall average KPIs for the time period within the study. Then, we compare each mailing for each brand against that brand’s baseline, creating a +/- metric on a per campaign basis. Then, we average those metrics across each brand, creating a model for expected performance compared to the “typical” mailing. To illustrate, let’s examine the following (simplified) sample table. Suppose we want to know what the “expected” impact of X for a brand’s marketing program. In the table below, we’ve gathered the open rates for campaigns that exhibit X for brands A & B. The table also shows the long-term average open rates for each brand, and the percent change of the campaigns compared to that baseline. By averaging those results, we get a holistic “expectation model” for campaigns exhibiting X. In this sample, we can generalize to say, any campaign including X for any brand should, on average, expect an open rate that’s about 9% lower than their long-term baseline. Peak week’s heavy influence I don’t think it’s an earth shattering revelation that the data shows peak week’s performance as being significantly above average, but it often surprises me to see just how much better it does than the surrounding time periods. This is easily seen in the chart below, where I’ve plotted every single mailing’s +/- revenue per email over time. I’ve categorized the mailings as “holiday” vs “standard” to see if there were any significant patterns. As you can see, most mailings performed worse than the baseline, due to the baseline being so heavily influenced by peak week, with mailings performing 2-5x better than average. What does it mean? Peak week’s impact is large enough that brands might want to consider viewing it in a vacuum, away from the days surrounding it, in order to get a better read on the overall health of their email program. Your brand should expect much better than average results throughout peak week, of course, and if the data doesn’t show that, you might be in trouble! Holiday messages get a boost with subject line mentions Throughout holiday, creative treatments and copy call out or hint towards specific holidays. Overall, those holiday messages generally perform better than average across all KPIs, as shown below. These results improve even further when those specific holidays are mentioned within the subject line, with Black Friday mailings seeing the largest increase when combined with a subject line mention. What’s most interesting to me, however, is how negatively Christmas themed mailings were affected when the holiday was called out in the subject line (a net 25% decline in revenue per email). All of these results may arise from a case of self-selection bias, whereas we should expect a specific holiday message to do better than average simply because it’s a specific holiday theme. This concept works in a few ways: a) If a company is giving a great offer, they might want to make it feel more “special” by creating a unique theme and selling concept around it (the holiday) . b) If a company has decided to devote resources to creating a mailing designed around a specific holiday, likely requiring a change in the creative process / design or additional strategizing around copy and positioning, then they will likely want to attach stronger offers to make the increased effort worth it. c) Due to the date of deployment, companies are more likely to both add strong offers and devote creative resources to a mailing because they implicitly understand that customers are more likely to engage on those days due to larger economic or societal trends and to differentiate themselves from the noise. d) If companies are devoting good offers or creative treatments to a specific holiday (or both), then the best companies realize that they should signal this with a mention in the subject line, leading any message with a holiday mention to of course do better What does it mean? The data highlights a particularly interesting in holiday email analytics – understanding causal effects. Sure, theming a mailing around a specific holiday might be the cause for the improved metrics, but it’s more likely that we assign holiday themes to a mailing that would have done well already. This is a much larger concept to think about in marketing, and the main takeaway is to be highly critical of any causal inference you make regarding performance. There are bigger factors at play with subject lines than length I have a deep-seated skepticism of any broad subject line analysis – subject lines are a quagmire of entanglements, where no single feature can ever be considered in a vacuum against any other feature. And yet, a tiny bit of Googling reveals hundreds of posts about subject lines, ranging from improving open rates with personalization and emojis to the grand-daddy of them all – shorter subject lines improve open rates. The argument for shorter subject lines in and of itself is an entanglement nightmare, since shortening a subject line can mean creating more clarity and precision to what you’re saying or cutting off back end details that might not be important or making sure relevant data always shows up on mobile. All of these are good ideas, but they are lumped into “shortening subject lines,” despite being fixes for potentially different problems. Oh, and never mind the fact that I’ve never seen any real analysis backing up the broad idea that shorter subject lines create higher “expected” open rates (most don’t normalize the data to try to control for subject line length, and therefore likely read other confounding factors). Our holiday study demonstrates the lack of empirical evidence behind the maxim of “shorter equals better,” showing a wide spread of outcomes at each subject line length and little discernible correlation. Even controlling for longer or shorter subject lines versus the brand’s average shows no real pattern, suggesting that brands that radically increase or reduce their subject lines aren’t expected to see much of a change in open rate performance. What does it mean? Engagement in your mailings is predicated on a much broader combination of relationship building, consistency, and brand value than the subject line – especially its length. Sure, shorter subject lines might force brand’s to be more precise and clear in detailing the mailings contents, but just lopping off words isn’t the most sophisticated path to brand positioning out there, is it? As with any sort of data-driven recap, it can sometimes be difficult to understand what our major takeaways are – after all, shouldn’t we just do what the data says? Not necessarily. The great thing about any “global” recap is that it allows for greater context around your own strategies, ideas, and performance. While the data may suggest particular things (add a specific subject line call out for holiday mailings!), more nuanced thinking might suggest deeper reasons (confounding factors!). That doesn’t mean a recap isn’t important or useful: it just means you – as a brand or strategist or tactician – have to be well informed of what the data says and what it implies. Then you can adapt your strategies accordingly. Of course, if you need some assistance, you can also reach out for help with campaign analysis or marketing strategy. And, as always, happy planning! Interested in more strategic and tactical planning tips? Watch our webinar “Trends are dead ends: Create a clear road to success with our 2017 planning tips” for free!

The volume of email being sent is growing at a rapid pace, that means consumers are wading through hundreds of emails on a daily basis. Combine that with the fact that most consumers spend just a few seconds looking at an email, and you see that marketers need to find better ways to capture and hold audiences’ attention. One answer? Kinetic email. Consumers access their email on a number of devices, including desktop, tablets and smartphones. While marketers have already designed emails to fit the screen of any device their audience uses, kinetic email enables them to develop content that is more interactive and dynamic. Rather than an immediate gateway to the website, consumers can explore the brand’s offerings without leaving their inbox. For example, retail marketers can use carousel navigation to showcase color and size choices within the email. This is not only more convenient for the consumer, but cuts down on the steps to purchase. But how effective is it? In Cross-Channel Marketing’s Q4 2016 Email Benchmark Report, we analyzed seven brands that sent out kinetic emails in 2016, and compared the results to similar non-kinetic mailings sent by the same brands. Based on findings from our report, kinetic emails increased unique click rates by as much as 18.3 percent, and click-to-open rates by more than 10 percent. Other findings included: Email volume increased 14% percent year-over-year, while open, click and transaction rates, revenue per email and average order volumes all remained relatively stable during the same time period. Fifty-six percent of total email opens occurred on mobile phones or tablets in Q4 2016. Revenue per email increased to $0.08 in Q4 2016 compared with $0.06 the previous quarter. But don’t just take the data at face value. Test email campaigns with your own audience to see if kinetic email works for you. Roll out new designs in a staged fashion, from simple to more complex, and measure the performance of campaigns with and without kinetic designs. You can also take it a step further and test based on the type of designs, choice of products, and audience segmentation. Maybe one type of messages works better for a particular audience. At the end of the day, each consumer is unique. There isn’t a one size fits all approach. Marketers can leverage our data and insights to better understand how consumers in specific verticals respond to email, and adjust their marketing campaigns accordingly. Consumer preferences change constantly. It’s the marketers who can adapt and deliver messages that resonate that will stay ahead of the competition. Download a complimentary copy of the email benchmark report and learn more about kinetic emails.

