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
Get in touch
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
Audio platforms that overcome consumer identity challenges are winning new advertisers and driving higher ROAS. In this article, you’ll hear from leading audio platforms that are solving these challenges—and seeing results. Digital audio is evolving fast. What was once a niche channel of host-read sponsorships and direct buys is now a must-have in the modern media mix. Streaming platforms, podcasts, and digital radio are drawing more ad dollars thanks to audio’s ability to capture attention and connect with listeners. But with growth comes new pressure. Advertisers expect accuracy, scale, and to see results. At the same time, listeners want more relevant content and more personalized ad experiences. That’s where identity becomes essential. With Experian’s identity and audience solutions, audio platforms can: Bolster addressable audience targeting and personalization capabilities. Gain a comprehensive view of listeners’ digital identity to reach audiences across channels. Better understand consumer preferences, enabling advertisers to reach audiences with greater accuracy. Enhance the listening experience with more relevant content. Let’s break down the key challenges in audio—and how Experian can help solve them. Challenge 1: Anonymous listening limits addressability Most listening happens in environments where people aren’t logged in—via apps, smart speakers, and mobile devices. Without logged-in data, platforms struggle to know who’s listening and advertisers are unable to reach those anonymous listeners who don’t have an addressable ID. To overcome the identity gap in unauthenticated listening environments, leading audio platforms are turning to partners that connect fragmented signals—like device type, location, and behavioral patterns—to broader household and individual profiles. By using hashed emails and other alternative identifiers, platforms can begin to make anonymous sessions more addressable. This increase in addressability ensures the platform’s entire userbase can be reached, which leads to an increase in revenue. Experian’s solution Experian\’s identity spine, comprised of our Digital and Offline Graphs, helps you recognize listeners even when they’re outside your ecosystem. Platforms like Audacy are already leading the way. By integrating Experian’s Digital Graph, they’re gaining a more complete view of listeners’ digital identifiers—enhancing the experience across their app and website. With a better audience understanding, Audacy can deliver personalized content while helping advertisers reach specific groups with greater accuracy. Challenge 2: IP-based targeting falls short Audio has traditionally relied on IP addresses, but that’s no longer enough. A single IP could represent an entire household—or a public setting like a coffee shop. It’s not precise. Forward-thinking platforms are moving beyond IP-based targeting by integrating identity resolution technologies that combine household-level data with device-level intelligence. These solutions help distinguish between shared devices and individual listeners, allowing advertisers to serve more relevant messages without over-reliance on a single signal like an IP address. This layered approach improves precision—especially in dynamic listening environments like vehicles or communal spaces. Experian’s solution Our identity spine links home IPs to households, then connects them to specific devices and individuals. This helps platforms move beyond basic IPs and target real people based on accurate signals—even in shared listening environments like smart speakers and cars. We also help platforms and advertisers integrate alternative IDs—like Unified I.D. 2.0 (UID2)—into their programmatic audio campaigns. That means more reach, without compromising consumer trust. Challenge 3: Audio buying is fragmented From podcasts to streaming to radio, audio lacks consistency in how inventory is packaged and bought. It’s hard for advertisers to run scaled campaigns across channels—and harder still to measure performance. Plus, advertisers don’t think in silos—they think in strategies. If audio can’t connect to their display, connected TV (CTV), and social buys, it loses ground. What they need is a way to define audiences once and activate everywhere. To reduce friction in audio ad buying, platforms are investing in infrastructure that unifies audience insights across formats. By building a centralized view of the listener—regardless of whether they\’re tuning in via podcast, stream, or radio—publishers can offer advertisers consistent targeting parameters, clearer reporting, and better campaign orchestration. Identity graphs and audiences are playing a growing role in streamlining this complexity and unlocking scale. Experian’s solution Experian helps simplify audio buying. Experian audiences are built on top of our identity graph and are expanded to a deep set of digital identifiers, ensuring accuracy, scale and maximum addressability across channels. Platforms can blend their first-party data with advertiser data and our audiences—then deploy those audiences onsite or activate programmatically across open web and CTV. DAX is doing just that. DAX\’s partnership with Experian combines Experian’s 2,400+ audiences for targeting and activation with DAX’s innovative audio advertising approach. We’re helping advertisers connect with passionate and engaged listeners nationwide. \”Through our partnership with Experian Marketing Services, advertisers can unlock deeper audience insights and execute more impactful digital audio campaigns. By combining our shared market presence, knowledge, and forward-thinking approach, we’re strengthening our digital audio network offering and delivering value to all our advertising partners.\” Brian Conlan, President of DAX United States In addition to integrating Experian’s Digital Graph, Audacy is also integrating Experian\’s syndicated audiences to unlock accurate insights like demographics, shopping behavior, and interests – providing listeners with a more personalized advertising experience and advertisers with a higher return on investment. “Historically, audio advertising lacked precise targeting capabilities, making it challenging for advertisers to reach specific audiences. By integrating our digital identity graph and syndicated audiences with Audacy’s platform, we’re transforming how advertisers connect with listeners. This collaboration enables more effective audience targeting and delivers personalized, impactful audio experiences across all channels.”Chris Feo, Chief Business Officer, Experian Privacy is non-negotiable Everything we do is privacy-forward by design. Backed by Experian’s Global Data Principles and decades as a regulated institution, we rigorously vet every data source to ensure compliance with all federal and state laws. Build an audio strategy that performs with Experian Your advertisers want more from their audio investments. With Experian, you can give it to them. We help you: Expand digital addressability to maximize reach for marketers and drive revenue growth for your platform. Create and activate addressable audiences across all channels. Enhance the listening experience with relevant content and personalized ads. Audio has always been a powerful way to connect. Now, it’s ready to perform. Let\’s connect Latest posts
When we launched our data marketplace earlier this year, we set out to transform how the industry discovers and activates privacy-safe audiences and maintains addressability across display, mobile, and connected TV (CTV). Yieldmo was one of the first adopters and their story speaks volumes about what’s possible when flexible tech meets premium data. Large retail brand boosts in-store traffic with Yieldmo and Experian Yieldmo, an advertising platform known for its inventive, AI-powered creative formats and privacy-first inventory, partnered with Experian to support a leading athletic retailer’s campaign focused on driving in-store traffic. The goal? Attract in-store shoppers likely to purchase from competitors, particularly during key sales windows. Using Experian’s Audience Engine platform, which includes our proprietary and third-party data marketplace, Yieldmo built a high-performing, self-serve targeting strategy that included both conquesting and in-store shopper segments. With the ability to easily combine Experian Audiences and Partner Audiences, like those from Alliant, Circana, Webbula, and Sports Innovation Lab, Yieldmo quickly built precise apparel and footwear audiences. Using Experian’s identity graphs in Audience Engine, Yieldmo increased cross-channel addressability to maximize campaign scale and impact. “Experian’s data marketplace in Audience Engine fills a critical gap, letting us quickly search by brand, build smarter conquest segments, and activate custom audiences fast. The platform is flexible and the support is hands-on and reliable.”Abby Littlejohn, Director of Sales Planning at Yieldmo With self-serve setup that cut down manual work, the ability to build highly tailored audiences, and expected lift in store visits, Experian helped the team achieve standout results. \”We selected Experian as our primary third-party data partner based on contract ease, audience quality, and speed. Through Experian, we can find high-performing audiences from multiple providers that meet our client’s targeting objectives. We include Experian audience segments in 80% of formal RFP proposals and are in active discussions on how to optimize for future campaigns—making Experian a go-to partner for third-party targeting.”Nelson Montouchet, AVP, Strategic Partnerships, Yieldmo More data, more reach: Experian’s data marketplace fuels smarter targeting across ad platforms Today, just months after launch, Experian’s data marketplace is gaining traction across the ecosystem. Over 10 platforms, including leading supply-side platforms (SSPs) and TV platforms such as Madhive, OpenAP, and Optimum, are now actively utilizing our data marketplace to enhance their activation capabilities. As privacy rules tighten and many identity signals start to fade, a lot of activation platforms are finding it tougher to reach their audiences. This is where our data marketplace shines, with one of the most comprehensive identity graphs out there, 126 million households, 250 million individuals, and over four billion active digital IDs, we make it easy to activate audiences while keeping addressability high across channels. We preserve accuracy when scaling to digital IDs via our identity graphs since Experian is rooted in offline data, which provides better connections and smarter targeting. “Our long-standing partnership with Experian and breadth of Experian\’s data marketplace, combined with the interoperable, direct matching methodology of our Open Identity solution, make it possible for OpenAP to enable advertisers and agencies to use best-in-class data partners to build audiences with the highest fidelity and consistently reach audiences at scale wherever they are consuming content across premium video.”Chris LoRusso, Chief Business Officer at OpenAP Experian’s data marketplace has grown to include over 20 premium data providers, such as: “We’re thrilled to bring PlaceIQ’s privacy-first, visit-based audiences to Experian’s marketplace, giving brands quick and easy access to high-intent shoppers. From recent big-box customers to yoga-studio regulars, advertisers can add real-world relevance to campaigns across every channel.”Brian Bradtke, Head of Partner Development, Precisely PlaceIQ These partnerships bring unique value to platforms looking to understand and engage audiences more effectively, whether through physical location intelligence, sports and fandom insights, or behavioral intent signals. What’s next As we head into one of the industry’s key events this summer at Cannes, the excitement around our data marketplace continues to build. We\’re focused on expanding our data ecosystem and helping platforms and marketers turn fragmented data strategies into a unified competitive advantage. If Yieldmo’s story is any indication, this is just the beginning. Let’s connect and explore how Experian’s data marketplace can help you drive more revenue, scale your audience reach, and stay ahead of privacy shifts. Connect with us 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