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
Gaming companies sit at a unique crossroads: they’re part entertainment powerhouse, part tech platform, part media company. Whether you’re publishing blockbuster titles, running a mobile game network, or building immersive in-game ad experiences, you have access to vast amounts of player data—and massive potential for growth. What\’s standing in the way of growth and loyalty Video game publishers and platforms are increasingly turning to data to understand, engage, and retain their players. But that’s easier said than done. Here are the top challenges they face: Data lives in silos. Gaming companies often collect data across multiple platforms—console, PC, mobile—but can’t stitch together a full view of the player across devices and titles. Identity is hard to resolve. Players interact across games, apps, websites, and platforms. It’s tough to connect all those signals and create a consistent, personalized experience. Privacy is non-negotiable. Regulations are tightening. Any solution must not only be powerful—it must be privacy-safe. Ad performance is difficult to measure. It’s often unclear which campaigns are driving engagement, conversions, or purchases—especially across fragmented digital touchpoints. How Experian can help you win with data and identity Experian helps gaming companies stop leaving value on the table. We turn scattered player data into a single, unified view—giving you the foundation to better understand and engage your players. Our approach: Organize, enrich, activate 1. We clean and unify your data We help you build a solid identity foundation by resolving messy, duplicate, or outdated records across systems. That means your player data from mobile, console, PC, and web all connects—giving you a clear view of how your users engage across games and platforms. 💡 How it’s working: A global interactive gaming company is partnering with Experian to unify and enrich player profiles across systems—boosting the performance of both player engagement campaigns and in-game monetization strategies. 2. We deliver deep customer insights With Experian, you go beyond surface-level data. We help you understand player behaviors, financial attributes, interests, and lifestyle factors—fueling more personalized experiences, smarter segmentation, and better monetization strategies. 💡 How it’s working: A major game developer used Experian’s data enrichment tools to gain deeper insights into player behavior and financial attributes—enabling more personalized in-game offers, smarter audience segmentation, and stronger player retention. 3. We enrich profiles and help you activate across channels We enhance your player records with hundreds of attributes—so you can create custom segments that work. Then, we help you activate those audiences in real-time across digital, social, and programmatic platforms. 💡 How it’s working: A global gaming publisher used Experian to build custom audiences and activate across programmatic channels, driving higher in-game engagement and ad ROI. Turning audiences into ad revenue In addition to improving their own player marketing, gaming companies are unlocking a second growth engine: ad revenue from non-endemic brands. Much like retail media networks, game publishers and platforms are realizing the value of their audience data. From airlines and automakers to QSR and CPG brands, advertisers are taking notice of the high-value, high-intent audiences inside game environments. But to attract that ad spend, publishers need to offer more than impressions—they need precise audience targeting, cross-device identity, and reliable measurement. How Experian helps drive better ad performance To appear authentically to a gamer, you need to know who they are and what they care about. Experian helps marketers understand a person’s behaviors and preferences to enable relevant, personalized advertising. And since nobody wants to see the same ad ten times during a session, we help manage ad frequency across devices and placements to protect the player experience. Our approach: Extend reach, measure results 1. We expand your digital reach Experian makes it easier to find and connect with your players wherever they are—across devices, platforms, and publishers. We help you build scalable audiences you can reach programmatically and with precision. 💡 How it’s working: Unity, a leading gaming platform, is redefining the way marketers reach their audiences across major and emerging channels. They’ve tapped into Experian’s syndicated audiences to gain player insights and help advertisers connect with gaming audiences across mobile, web, and connected TV (CTV) based on behaviors and preferences. 2. We help you measure what matters Whether your goal is app installs, in-game purchases, ad engagement, or player retention, we help connect the dots. You’ll know which campaigns are driving action—and where to double down. 💡 How it’s working: A leading global game publisher is working with Experian to enrich player profiles, build and activate audience segments, and measure how campaigns drive in-game engagement and purchases—giving them a clearer view of ROI across digital channels. Why choose Experian Whether you’re trying to build stronger player relationships or turn your audience into a high-performing advertising engine, Experian gives you the data and identity foundation to make it happen. We help you: Organize and clean your player data Resolve identities across digital touchpoints Enrich your data with deep, actionable insights Build and activate target audiences Measure impact across the player journey Let\’s power up together We’re already supporting leading brands across the gaming ecosystem—from global game publishers and mobile app developers to in-game ad networks and gaming platforms. And we’re ready to help more companies harness the full power of their data. Get in the game with us 🎮 Latest posts
As a programmatic media partner for marketers and agencies, MiQ’s mission is to ensure their clients’ media investments are spent on the right audiences in the right environments. MiQ needed a stronger way to unify audience insights, increase scale, and improve efficiency amidst signal loss. To meet this challenge, MiQ integrated Experian’s Digital Graph into their Identity Spine, creating a more comprehensive view of their clients’ target audiences and ensuring their data-driven solutions remain effective, regardless of the signal source or identifier in use. What is Experian\’s Digital Graph? Experian’s Digital Graph is like a puzzle, connecting billions of digital identifiers to create a complete view of consumers. As signal loss makes targeting harder, our Digital Graph helps marketers stay connected by linking cookies, mobile ad IDs (MAIDs), hashed emails (HEMs), IP addresses, connected TV (CTV) IDs, and universal IDs, like Unified ID 2.0 (UID2) and ID5. We put the pieces together, matching first-party data to a variety of digital IDs for better targeting, measurement, and cross-device insights—so you don’t have to. Challenge: Strengthen targeting capabilities amidst signal loss MiQ needed to stay agile in its strategy and partnerships to ensure digital connectivity amidst ongoing signal loss. To maintain campaign performance and scale, MiQ sought privacy-first partners they could integrate into their Identity Spine. MiQ’s primary objectives included: Strengthen audience targeting across all digital environments, with or without cookies. Reach target audiences in privacy-compliant ways. Maintain or increase the scale — even as reliance on cookie-based targeting declines. The solution: Integrating Experian\’s Digital Graph into MiQ\’s Identity Spine MiQ incorporated Experian’s Digital Graph, licensing HEMs, UID2s, and third-party partner cookies, into their proprietary Identity Spine. MiQ’s Identity Spine seamlessly connects over 60 cookieless data feeds and 25 ID solutions. “Experian’s Graph has bolstered our already comprehensive, multi-ID Identity Spine with incredible data on cross-device ownership and cross-channel behavior.”Georgiana Haig, Strategy and Partnerships Director, MiQ Results: MiQ expanded the reach and scale of their Identity Spine The integration of Experian’s Digital Graph with MIQ’s Identity Spine enabled marketers to find, grow, and measure customers across screens even as signal loss evolves and traditional identifiers fluctuate. The integration allowed MiQ to: Create a unified view: MiQ now has a unified view of its clients’ target audiences, enhancing their audience understanding with the addition of 6.5 devices to each matched IP address, enhancing scale and targeting capabilities. Increase scale: By matching first-party data to multiple universal IDs, MiQ expanded its reach across devices, contributing to a 51% increase in seed audience reach and and a 64% increase in reaching using universal IDs. Improve efficiency: The combination of Experian’s data with MiQ’s Identity Spine improved cross-device ID resolution, leading to more accurate measurement and reporting with a 70% match rate in associating MiQ-provided IP addresses with universal IDs. Stay connected to you audience despite signal loss with Experian MiQ’s Identity Spine stays strong through their partnership with Experian, keeping audience targeting effective even as signal loss changes the landscape. Download the full case study to learn more about how Experian’s Digital Graph enabled MiQ to strengthen audience targeting despite ongoing signal loss. Download the full case study Contact us About MiQ MiQ is a global programmatic media partner for marketers and agencies, with 19 offices across Europe, North America, and the Asia-Pacific region. They specialize in connecting data from multiple sources to solve business problems for their clients. They are award-winning experts in data science, analytics, and programmatic trading, focused on ensuring clients’ media investments are spent on the right audiences in the right environments. To learn more, please visit www.wearemiq.com. Latest posts
Summer may be vacation season for consumers, but it\’s go time for marketers. Between holiday weekends, travel season, and changing shopping habits, the pressure is on to deliver campaigns that land and convert. If you\’re feeling behind, you\’re not alone. Many marketers face the same challenge every year: How do you actually use the customer data you have to fuel high-impact, seasonal marketing? And how do you ensure your brand shows up in front of the right people in the right place before the competition beats you to it? That’s where Experian comes in. With Experian’s advanced Audience solutions, you can get ahead of the trends, connect with vacation-ready shoppers, and optimize performance across digital, TV, and retail media using customer data for seasonal marketing. Capitalize on vacation excitement to drive sales and growth Summer travel often triggers a surge in pre-trip spending. Surveys show that 82% of consumers plan to travel this summer, and according to Fortune, today’s travelers spend thousands of dollars on things like luggage, apparel, and recreation gear before they even leave their homes! But while consumer demand is heating up, so are the challenges. Marketers are navigating a turbulent economic environment shaped by shifting demand curves, tighter budgets, the rising cost of goods, and supply chain disruptions caused by newly imposed tariffs. These pressures are forcing teams to rethink everything from product positioning to pricing strategies. In this climate, it’s more important than ever to maximize performance, reduce waste, and stay laser-focused on reaching high-intent audiences likely to convert. Using customer data for seasonal marketing helps brands predict and capture demand with precise, relevant targeting. Whether your customers are planning a trip to the beach or hiking the Rockies, timely messaging and audience alignment can drive engagement and conversion. Experian Audiences power effective audience strategies But even the most compelling campaigns can fall flat if you\’re working with incomplete data, outdated segments, or generic targeting. Consumer data providers like Experian can help you fix that. Our Audience solutions help you go beyond assumptions and truly understand who your shoppers are, what they’re planning, and how they behave, so you’re ready to get in front of their summer plans. Six steps to creating a successful seasonal marketing campaign When you’re ready to turn summer intent into strategy, Experian Audience solutions help you translate vacation-driven behaviors into high-performing campaigns. Each product in the Experian Audience suite supports a specific stage in seasonal marketing planning and execution. 1. Define your goals Before diving into channels and creatives, get clear on your customer database marketing goals. Are you trying to increase online purchases? Drive in-store traffic? Expand brand awareness? Use Syndicated Audiences to set fast, focused goals. If you’re short on time, Experian’s 2,400+ Syndicated Audiences give you a head start. These pre-built, behavior-based segments — from luxury travelers to seasonal sports enthusiasts — help you quickly identify who to target, where they spend time, and how to message to them. With segments ready to plug into 30+ activation platforms, you can ensure quick, confident activation. 2. Decide what data you need and which audiences to target Using customer data for seasonal marketing means mapping behavior to intent. This core tactic in customer database marketing can help you drive deeper engagement. Our data solutions simplify the process, whether you’re starting with limited data or already know your best customers. If you’re starting with a list, Enrichment can append lifestyle, income, and travel preference data to help you understand what motivates your existing customers. If you don’t have a list, Marketing Attributes gives you full control when building new audiences or lookalikes based on relevant seasonal traits like beach vacationers or frequent CTV watchers. 3. Identify key holidays and events Summer is full of shopping triggers: Memorial Day, Father’s Day, Fourth of July, Labor Day, and countless local and regional events. However, not every customer behaves the same way. Use Enrichment to understand when your customers are most likely to act. By comparing your first-party data to broader market segments, you can time promotions more strategically. For instance, enrichment might reveal that outdoor gear buyers convert in early June, while luxury travelers plan closer to July. 4. Activate across digital, TV, and retail media Summer shoppers don’t stick to one screen. They’re streaming TV, reading travel blogs, browsing retail apps, and catching up on email — often from a beach chair or airplane seat. That’s why omnichannel delivery is a must, and it’s where consumer data vendors like Experian can help you reach your audience across channels with targeted messaging for key holidays and events: Syndicated Audiences simplifies omnichannel activation with built-in integrations to 30+ leading activation platforms. These pre-mapped segments let you deliver consistent messaging across the places where your audience is most engaged. Looking for privacy-forward reach? Contextually-Indexed Audiences are segments built by linking real-world behavioral data to the types of content those audiences typically consume online, allowing you to activate based on content instead of identity while offering a more contextually relevant experience. Using customer data for seasonal marketing, Experian maps real audience segments across web and app environments — like national park guides and travel blogs — for ID-free precision targeting in a cookieless environment. 5. Track and evaluate performance Don’t wait until the end of the campaign to make changes. Experian’s measurement tools help you track performance in real time, so you can optimize early and often. Measure how well specific audiences — enriched, syndicated, or contextual — are performing across platforms and use those insights to shift spend toward top performers. 6. Optimize and refine your strategy After the season ends, it\’s time to take what you’ve learned and build smarter for the next push. Use Outcomes to analyze: Who converted Which segments underperformed How your customer base compares to the broader market How your audience evolved Which campaigns drove meaningful adoption These insights can then inform your next round of audience building, so whether it’s back-to-school or a holiday, you’re already ahead. Example 1: The beach vacation shopper To illustrate Experian’s Audience solutions at work, let’s say a high-end swimsuit brand wants to reach women over 30 planning beach vacations to Florida, Hawaii, or Mexico. However, their CRM only includes basic transaction and purchase details and offers little insight into who their customers are. Audience solution: Enrichment Using Experian’s Enrichment solution, the brand could layer on lifestyle, income, and travel preference data to turn shallow profiles into rich audience segments. With a deeper understanding of their shoppers, the brand could develop a targeted messaging strategy by destination, build high-performing lookalike audiences, and confidently activate across channels. Example 2: The European traveler As another example, suppose a footwear brand wants to reach millennial travelers heading to Europe between May and August. They specialize in stylish, comfortable walking shoes that are ideal for travel but lack the technical in-house resources to build custom segments. Audience solution: Syndicated Audiences Using our Syndicated Audiences, the brand could easily tap into pre-built segments tied to leisure travelers, international shoppers, and comfort-focused footwear buyers. With plug-and-play access to over 2,400 verified audience segments, the brand could quickly layer this targeting into their programmatic and paid social campaigns without requiring custom development. And with fast speed-to-market and improved message relevance, the brand could launch cross-channel campaigns just in time for peak summer travel planning. Example 3: The outdoorsman Consider a camping tent company that wants to reach families planning summer trips to national parks, campgrounds, or RV resorts. They don’t have much first-party data to work with, but they know their audience is online, researching their next adventure. Audience solution: Contextually-Indexed Audiences With Experian’s Contextually-Indexed Audiences, the brand could target people actively reading content about outdoor travel (like hiking tips, campground reviews, or road trip itineraries) without relying on cookies or IDs. They’d be able to activate contextually relevant audiences mapped to sites that outdoor enthusiasts frequent and drive site traffic with strong click-through rates. Example 4: Big-box retailer launching summer gear Imagine a national retailer preparing to promote summer essentials like patio furniture, grills, fitness gear, and travel accessories. Their goal is to build predictive models for their summer product demand and reach new customers most likely to buy before they even search. Audience solution: Marketing Attributes With Experian’s Marketing Attributes, the retailer could license over 5,000 lifestyle, demographic, and behavioral variables to enrich internal models and uncover high-indexing consumer groups, such as outdoor entertainers or health-conscious families. This data-powered insight would help them predict demand and identify audience segments worth testing across media channels. The team could find new, qualified segments ideal for email and CTV activation and get a head start on the season, eventually increasing ROI on their summer campaign spend. Talk to Experian about your summer campaigns today Using customer data for marketing doesn\’t have to be overwhelming, especially when you have access to a trusted consumer data provider and plug-and-play audience tools for every stage of the funnel. Whether you’re working with a robust CRM or starting fresh, consumer data vendors like Experian can help you reach the right audiences with speed, accuracy, and confidence. Our advanced tools are designed for both advanced marketers and teams just beginning to explore consumer database marketing. No matter your goals, Experian is here to help you build an audience strategy that performs. Contact us today Latest posts