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
NEW YORK, May 4, 2016 /PRNewswire/ – Tapad, the leader in cross-device marketing technology and now a part of Experian, has been honored with two iMedia ASPY Awards. Announced on May 3rd at the iMedia Summit in Lost Pines, TX, Tapad's 2016 ASPY Awards include "Best Customer Service" and "Best Mobile Partner." In 2015, Tapad's proprietary technology, Tapad Device Graph™, was named "Best New Media Innovation" and Tapad employee Chris Martin was awarded the "Rising Star Award." The iMedia ASPY Awards – determined exclusively by agency votes – recognize the industry's top marketing technology, media companies and publishers for outstanding service to agencies. The award for "Best Customer Service" recognizes Tapad's client services team and their dedication to helping agencies fully understand their consumers' behavior and achieve the best cross-screen campaign ROI through Tapad's Campaign Pulse and TV Pulse analytics reporting. The "Best Mobile Partner" win recognizes the abilities of the Tapad Device Graph™ to deliver unified cross-screen solutions for the company's partners. "We are privileged to have a talented and dynamic group of people on our client services team, and we are honored to be recognized by iMedia Connection and our agency partners," said Tapad Founder and CEO, Are Traasdahl. "We have always strived to provide the best solutions and the best customer support, so it's extremely gratifying to be rewarded for our efforts. If our clients and partners are happy, we are happy." For more information on the iMedia ASPY Awards please visit: http://aspyawards.com. Read the full press release here. Contact us today!
This article is an excerpt from Experian Marketing Services’ 2016 Digital Marketer Report. Download the full report to discover more insights and trends for the upcoming year! Support your mobile app with other mobile marketing initiatives Marketers are fascinated by mobile, and for good reason. It’s increasingly the device of choice for consumers. SMS and MMS messages, push notifications and the app inbox all offer marketers the ability to communicate directly with customers in a way that is immediate and friendly. Yet there seems to be an interest gap between developing mobile apps and building other mobile initiatives. In this year’s Digital Marketer Survey, 53 percent of respondents indicated that they plan to integrate a mobile app into their mobile marketing program in 2016, compared with only 40 percent for other mobile programs like SMS or MMS. Without a doubt, well-designed apps can be incredibly useful for building the brand relationship. Good apps focus on improving the customers’ experience by making their lives easier – by tailoring the content to their personal experience or lessening the number of steps it takes for them to perform an action. In service-based industries, apps can alleviate the need for in-store or in-branch services, helping companies become more lean and efficient. For example, consumer bank apps have redesigned the experience of depositing a check or transferring money between accounts, allowing them to cater to their customers’ needs faster and more efficiently than ever possible through a physical teller. That said, mobile apps are also time- and resource-intensive to develop, especially if they are well designed. Other mobile initiatives, like SMS and MMS text messaging programs or mobile wallet, require less investment to create and maintain. Additionally, imagine if every marketer who shared a plan to build an app actually followed through. That would mean a lot of competition for customers’ limited phone space. This is why I find the interest gap fascinating. Mobile apps are useful, but they should be part of a cohesive mobile strategy, supported with other mobile programs like SMS and MMS messaging that are less costly and can serve as an effective alternative for communicating with customers who have push notifications disabled, are inactive users, don’t have compatible phones or simply haven’t downloaded your app. Business needs can dictate mobile marketing strategy This concept is especially important for brands that use the mobile space to communicate service-related or operational messages, such as shipping and delivery notifications, fraud alerts or travel delay notices that require immediacy. These kinds of messages are time-sensitive and valuable. Customers who don’t have your app will benefit from their receipt if you offer it to them via another channel. Of course, it’s important to remember that not every business fits usage of SMS and MMS or app programs. Consider the needs and preferences of your unique customers to determine the need to develop a mobile program. After all, mobile experiences that are not well thought through may be more damaging than beneficial. According to a Google study of smartphone users, 66 percent of consumers will take negative action if a mobile site or app doesn’t satisfy their needs, such as being less likely to return to the site or app (40 percent) or purchase products from the company in the future (28 percent). Ultimately, if you’re investing in a mobile app experience, don’t forget about the power of a complimentary text message strategy. Mobile app marketing and text messages can go hand in hand. Develop an SMS experience that proves the value of your brand in the mobile space. Once you do, your customers and prospects will be more likely to believe in the value of your full app experience.
Cross-screen marketing tech firm, Tapad, drove unified campaign; partnered with Statiq to measure cross-screen impact on in-store visits LONDON, March 8, 2016 /PRNewswire/ — Carat North completed the UK's most comprehensive digital campaign with Tapad, the leader in cross-device marketing technology and now a part of Experian. Coupled with location-based audience data from Statiq, this marks the first time a UK-company has measured the impact of unified, cross-screen campaign on in-store visits. Carat North served display and video ads to grocery shoppers for the leading retailer ASDA from August through October. During the campaign, Tapad utilized Statiq's audience data to measure which users visited a store after being exposed* to the campaign's ad on multiple devices. The digital campaign demonstrated a lift of 59% for in-store visits when users were exposed to ads on three devices over people who were shown an ad only on onescreen. Those who engaged with the ad were also 411% more likely to visit an ASDA store. Of those who were exposed to an ad, 248% were more likely to visit a store. Impressions served to mobile devices saw the highest success rate with an in-store visit lift of 67%. The campaign leveraged Tapad's proprietary technology, The Device Graph™, which Nielsen confirmed Tapad's cross device accuracy to be 91.2%, to serve ads sequentially on connected devices belonging to the same user. CARAT NORTH: "The ability to know which devices belong to our customer, coupled with the ability to deliver the right ad, and right message, wherever they are and on whatever device they're using, has been something this industry has long needed," said Steve Thornton, Digital Account Manager, Carat North. "We're impressed with the results that have come from the work with Tapad and Statiq for this media-first, and look forward to continuing to offer these solutions to clients like ASDA. Matching unified cross-device capabilities with real insights on campaign performance is an invaluable advantage in the marketing world." TAPAD: "This campaign is a perfect example of the capabilities of cross-device advertising," said Are Traasdahl, Founder and CEO, Tapad. "In addition to reaching users across devices, we're able to analyze campaign results and determine how different combinations of ad exposure, creative type or view frequency affected their decision to visit a location." STATIQ: "As a location data specialist, Tapad is our ideal partner – they are an industry leader and by working with them we are able to determine the impact unified messaging has on real world consumer behaviours," said Dean Cussell, Co-Founder of Statiq. "We believe this type of analysis will significantly aid brands in optimising future ad spend." About Carat North Carat North is a leading independent media planning & buying specialist in digital and non-traditional media solutions. Owned by global media group Dentsu Aegis Network, the Carat network is more than 6,700 people in 130 countries worldwide across 170 cities. Carat defined the sector when established as the world's first media independent in 1968 and is now Europe's largest media network, a position held for more than 15 years. For more information visit www.carat.co.uk About Tapad Tapad Inc. is a marketing technology firm renowned for its breakthrough, unified, cross-device solutions. With 91.2% data accuracy confirmed by Nielsen, the company offers the largest in-market opportunity for marketers and technologies to address the ever-evolving reality of media consumption on smartphones, tablets, home computers and smart TVs. Deployed by agency trading desks, publishers and numerous Fortune 500 brands, Tapad provides an accurate, unified approach to connecting with consumers across screens. In 2015, Tapad began aggressively licensing its identity management solution, the Tapad Device Graph™, and swiftly became the established gold-standard throughout the ad tech ecosystem. Tapad is based in New York and has offices in Atlanta, Boston, Chicago, Dallas, Detroit,Frankfurt, London, Los Angeles, Miami, Minneapolis, San Francisco and Toronto. TechCrunch called the powerhouse Tapad team "a hell of a list of entrepreneurs who created some of the most valuable online advertising companies of the last decade." Among Tapad's numerous awards: EY Entrepreneur of The Year (East Coast) 2014, among Forbes' Most Promising Companies two year's running, Deloitte's Technology Fast 500, Crain's Fast 50, Entrepreneur 360, Digiday Signal Award, iMedia ASPY Award, and a MarCom Gold Award. Read the full release here. *Tapad utilized Statiq's audience data to measure which users visited a store during, or within one month of, being exposed to the campaign's ad on multiple devices. Contact us today!