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.
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As I walked onto the buzzing streets of Cannes for the first time, my senses were immediately captivated by the energy that filled the air. I'd heard plenty about Cannes Lions, the globally revered International Festival of Creativity, but being in the midst of it all was an entirely different ballgame. 1. A visual extravaganza From the moment I woke up from my two-hour nap, (Seattle was a long way to travel to Cannes), I was awestruck by the grandeur of the festival. Usually known for its tranquil beauty, the city was alive and brimming with imagination. Massive installations, eye-catching billboards, and immersive media experiences were scattered over the two-kilometer stretch of La Croisette, transforming the city into a canvas of creativity. I saw firsthand how abstract concepts could be turned into palpable realities, especially those of Spotify, Yahoo!, and Stagwell's Sport Beach with their basketball court with stadium seating setup. 2. Nuggets of wisdom shared in panels The festival's days were jam-packed with thought leadership panels – each a masterclass in the ever-evolving universe of AdTech. Fortunately, as a member of the Experian team, I didn't have to travel far for unique panels; we hosted four panels throughout the week, and I was immersed in dynamic discussions about new trends, groundbreaking ideas, and the challenges ahead. One recurring theme that resonated with me was the intricacies of authentically connecting with consumers. Finding genuine human connections amidst digital chaos can be challenging in today's tech-driven world. These dialogues provided incredible insights into how we could maintain the delicate balance between personalization and privacy and effectively use artificial intelligence (AI) to enhance customer engagement without compromising the human essence in advertising. Watch our panels 3. Connect with your peers If Cannes Lions is known for anything apart from its creative inspiration, it's the unparalleled networking opportunities. The festival allowed me to interact with professionals from all corners of the world. Each exchange was not merely about exchanging contact details but building meaningful relationships. Will these first arcs lead to meaningful friendships? I sure hope so. 4. A comprehensive learning opportunity The most crucial aspect of the festival was the immense opportunity it offered for learning. I found myself constantly absorbing new information and insights from the panels, every conversation, and every chance meeting. 5. Juggle your time Effective time management was crucial for maximizing my Cannes experience, with many things happening concurrently. I would give myself a B- for this. During the day, when I had some downtime, I could have ventured to another panel, attended a networking event, or taken in a view of the city I didn't get. That's the biggest challenge, and the beauty of Cannes Lions is its unique blend of professional learning opportunities set against the backdrop of a picturesque seaside town, but how do you do it all? 6. Relish the experience My week at Cannes was filled with intense learning, insightful conversations, and eye-opening experiences, leaving me mentally drained and intellectually stimulated (I think those can happen concurrently). The festival left me with a renewed appreciation of why we do what we do in the AdTech industry: supporting the pursuit of creativity, the drive for innovation, and the desire to forge meaningful connections. Cannes Lions was more than just a festival – it was a week of stepping out of my comfort zone, gaining deep insights, and establishing relationships that I hope will last a lifetime. As I boarded my flight out of Nice, surrounded by adults with layers of event access bracelets, I was inspired and stacked with knowledge and ideas that will help drive meaningful marketing opportunities with our content and partnerships. The grandeur, the learning sessions, the networking, and the profound lessons exceeded all my expectations. My week at Cannes Lions was unique, intense, insightful, and unforgettable. It was an experience I can't wait to repeat! Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. Latest posts
It’s been one week since the highly anticipated Cannes Lions 2023 – the event of the year for advertising and creativity. We're thrilled to share our top four key takeaways from the event, showcasing what the industry will prioritize in the upcoming year. Signal loss At Cannes Lions 2023, experts underlined the detrimental effects of signal loss on advertising and emphasized the significance of having diverse channels. Discussions emphasized the importance of adapting paid media strategies to align with evolving consumer behaviors in order to remain relevant in the ever-changing landscape. Urgency in planning and avoiding being caught without a solid strategy was a common theme throughout the event. Alternative identifiers, like first-party data, were highlighted, as they prioritize privacy-centric approaches. Contextual advertising emerged as a key part of the solution, providing relevant ads that fit seamlessly into the user's experience. Collaboration Collaboration was a major theme at Cannes Lions 2023. Attendees explored topics such as maintaining privacy and identifying the right attributes for effective targeting. Clean rooms were discussed as a way to ensure privacy when sharing data, and highlighted partnerships as the key to unlocking interoperability within the advertising ecosystem. The discussions underscored the need for industry players to join forces and collaborate on solutions that benefit all stakeholders in the ecosystem. “What makes Cannes unique is that you have a lot of decision makers in the room at the same time. This leads to more efficiency in terms of coming up with goals and objectives and really getting to the heart of the key aspects for us to build partnerships.”alison omealia, vp, customer success, experian Personalization Personalization was a key topic of discussion at Cannes Lions 2023, with its growing significance in advertising taking center stage. The event emphasized the need to focus on serving up tailored content that resonates with individual consumers, cultivating brand affinity. The intersection of science and art was highlighted, emphasizing the role of data-driven insights and creativity in supporting frequency capping and delivering engaging content. Advertisers are adapting to cookie deprecation by shifting from cookie-based third-party targeting to first-party data solutions. This is due to the significant changes in the consumer privacy landscape, which have limited advertisers' access to signals emitted by consumers through their devices and browsers. As a result, alternative IDs like UID2, Ramp ID, and ID5 are emerging as viable options for advertisers to continue personalized targeting. Balancing AI and creativity at Cannes Lions 2023 Participants shared invaluable insights on how to strike the right balance between harnessing AI's capabilities and nurturing creativity to keep the human touch alive. The event emphasized the importance of understanding the boundaries of AI while utilizing tools that drive innovation and imagination. Attendees explored the dynamic roles that AI provides and discussed how it can help push the boundaries of their creativity while still keeping the human element intact. As technology continues to advance, so does the need for advertisers to adapt their approach and integrate AI in a way that enhances their creative output. Experian events at Cannes Lions 2023 We hosted a series of events that included a kick-off event and four panels. The activities were designed to provide attendees with valuable insights on various topics related to advertising and data privacy. Here's a recap of what we covered during the week. Experian’s Cannes Lions kick-off event We co-hosted a kick-off event on Sunday with Audigent. It was a successful event that brought people together to launch an important week in the AdTech industry and build connections with clients and prospects alike. Data on the sell-side Ongoing signal loss has marketers, agencies, and platforms tapping directly into the sell-side for high-quality audience and context. In this panel, industry experts from Truthset, Captify, Audigent, Newsweek, and PubMatic joined Experian to discuss the imminent disappearance of cookies and the need to adapt and future-proof data privacy strategies. The deprecation of third-party cookies presents an incredible opportunity to redefine data privacy practices and empower consumers. Our panelists emphasized the need to adapt and invest in alternative identifiers in order to thrive in a cookie-less future. Publishers were urged to create valuable content, engage in first-party activities, and consider the next generation of consumers who are growing up without traditional identifiers. The fragmented landscape calls for a variety of tactics and partnerships, while AI can provide opportunities to explore beyond deterministic identifiers, fostering creativity and innovation in advertising practices. Stacking the marketer's toolbox for success In partnership with Adweek Abroad in Cannes, industry leaders from FreeWheel, Tubi, and Instacart joined Experian to discuss opportunities for brands to unlock deeper, richer, and more scalable insights into current and potential customers. The panelists highlighted several key considerations, including building a robust first-party data strategy, ensuring accuracy in data quality partnerships, and establishing better-connected communications and relationships with consumers. Participants acknowledged the value of consumer data and urged advertisers to remain purpose-driven, always putting the viewer first. The freshness and recency of data were identified as critical factors for establishing quality connections with consumers and staying attuned to consumer trends. What does the future of identity hold? During this panel discussion, industry leaders from the IAB, MiQ, Cint, Direct Digital Holdings, and Tatari joined Experian to explore the future of identity. The panelists discussed the challenges cookie deprecation poses in programmatic advertising and the need for new identifiers and solutions. They also acknowledged the expanding media landscape and the importance of frequency capping and attribution measurement in a post-cookie era. Trends to watch for include the potential consolidation of identifiers and the movement of first-party data in-house by larger media companies. Panelists shared different views on cookie deprecation readiness and the overhype of AI in the industry. Streaming takes center stage OMG, Roku, AMC Networks, Paramount, and Disney joined Experian to discuss streaming TV as a fragmented and evolving landscape. The panelists debated whether it has become a performance channel and emphasized the need for client education, attribution, and optimizing performance metrics. They also discussed reaching audiences across different mediums with data interoperability, audience targeting, and reliable identity solutions. The panelists explored the emerging trend of AI, optimizing ad placement, refining targeting, streamlining creative approval, and enhancing ad breaks. “A lot of trends in AdTech are relevant to TV, but the most consistent trend has definitely been having a solid identity source throughout the whole lifecycle of a campaign within TV.”ali mack, sr. director, platforms, experian Watch our panels Let’s keep the conversation going The innovation and possibilities for signal loss, collaboration, personalization, and balancing AI and creativity are limitless, but understanding exactly how to get there is what can make all the difference. As we wrap up another successful week at Cannes Lions, let's use these conversations as an opportunity to advance together toward a more connected future — what trends are you most looking forward to? If you’d like to discuss any of these topics further, get in touch with us! Contact us Check out more Cannes content: Insights from a first-time attendee Four new marketing strategies for 2023 Exploring the opportunities in streaming TV advertising The future of identity in cookieless advertising Maximize ad targeting with supply-side advertising Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. Latest posts
Our next segment in our Ask the Expert series dives into the importance of data enrichment and its benefits across connected TV (CTV) advertising. Ask the Expert features a series of conversations with product experts where we focus on topics that matter the most in AdTech. In our latest segment, Natalia Irmin, Director of Strategic Data & Media Partnerships at a4 Advertising, joins us to chat with Experian's SVP of Sales & Partnerships, Chris Feo. a4 is an advanced advertising and data company that offers audience-based, multiscreen advertising solutions for local and national advertising businesses. In their conversation, Natalia and Chris review: The benefits of data enrichment First-party data enrichment across advertising Data enrichment in CTV advertisingHow Experian and a4 work together What is data enrichment? Data enrichment enhances first-party data sets using third-party data sources. This process involves merging first-party data from internal sources with data gathered from other internal sources or from external third-party sources. Examples of data that can be part of the enrichment process include: Demographic information Contextual signals Behavioral patterns Interests Purchase-intent The more you know about your customers, the better equipped you are to reach them where they are with the right message. By enriching your data, you can enhance your messaging, provide personalized offers, and establish a loyal customer base. First-party data enrichment across advertising Businesses are transitioning from cookie-based third-party targeting to first-party data enrichment solutions as a result of cookie deprecation. When data enrichment is paired with internal first-party data, you can generate a more holistic customer profile. a4 has a rich set of first-party data, based on the subscriptions to their services. a4 uses first-party data enrichment across advertising in two ways: Measure performance using their viewership dataAdvise their customers on where they should focus their advertising efforts based on the customer's viewing behavior a4 supports the enrichment of their customers' first-party data so they can get the most out of their insights. With Experian’s privacy-first approach, a4 can continue to rely on their first-party data while protecting personally identifiable information (PII). Data enrichment in CTV advertising CTV advertising refers to digital advertising that appears through a streaming service during a viewer’s video content, like a movie or TV show. CTV ad campaigns allow businesses to personalize their digital marketing messages while the viewer watches content on various platforms. CTV offers a highly measurable opportunity to increase brand awareness. Benefits of data enrichment in CTV advertising Data enrichment provides three key benefits that can enhance targeting, personalization, and campaign effectiveness in CTV advertising. Understand your target audience By using enriched data such as demographic information, viewing behavior, and interests, you can gain deeper insights into your target audience, refine your targeting strategies, and create highly personalized ad experiences. Data enrichment also enables better measurement and optimization of ad campaigns, maximizing ROI. Integrate enriched data with other marketing channels You can integrate enriched data into CTV with data from other marketing channels. This enables the creation of comprehensive and cohesive marketing strategies that provide consistent messaging and enhance cross-channel targeting. Enhance the value of ad inventory Data enrichment can also benefit content publishers and broadcasters by enhancing the value of ad inventory and providing more targeted and effective advertising opportunities. Enabling your marketers to target specific audiences will result in improved campaign performance. Through data enrichment, you can increase return on your ad spend and boost the value of your publisher’s ad inventory. a4 and Experian can help your business attract additional demand with audience enrichment. a4 uses Experian’s vast offering of audiences and combines it with Experian’s Graph. This data can later be used to activate across a4’s parent company, Altice’s owned and operated properties, as well as beyond Altice’s own footprint via premium publisher partners. How Experian and a4 work together a4 and Experian have a long-standing partnership that enables a4 to enhance its data. Through our Consumer View and Consumer Sync products, a4 can add audience attributes to its subscriber and viewer data to precisely pinpoint the audience that its clients are targeting. Experian helps a4 in building a comprehensive customer profile, which helps expand the customer base for a4's advertising clients. We form partnerships, like we do with Experian, to enhance our data further, so that we can combine the power of the viewership and exposure data for those other attributes that clients might need.” – Natalia Irmin, Director, Data & Strategic Partnerships, a4 Advertising Through Experian's audience attributes and Graph, a4 can assist advertisers in targeting audiences beyond their usual reach, creating a better user experience. a4 can personalize experiences and promotions to prioritize customers with a higher likelihood of making a purchase. By tailoring messages and promotions to individual customer preferences, businesses can improve their advertising efforts and deliver them through their preferred channels. Watch the full Q&A Visit our Ask the Expert content hub to watch Natalia and Chris's full conversation about data enrichment and its benefits across the advertising world. In the Q&A, Natalia and Chris also share their thoughts on the importance of first-party data enrichment, addressability, and measurability in CTV advertising. Watch now About our experts Natalia Irmin, Director, Strategic Data & Media Partnerships, a4 Advertising Natalia Irmin is the Director of Strategic Data & Media Partnerships for a4 Advertising. With over 10 years of experience working with data in the Defense, Finance, and Advertising industries, Natalia currently leads the a4 Strategic Partnerships team in the development of advanced data and media products in support of the organization’s media planning, buying, and advanced analytics business. Natalia holds an MBA from the NYU Stern School of Business and a Bachelor of Arts from Tel Aviv University in Israel. Chris Feo, SVP, Sales & Partnerships, Experian As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats! Latest posts