At A Glance
AI can make marketing more human when it understands people in context. Experian’s technology interprets real-time contextual signals—from temporal to situational intent—to align every message with the moment. By connecting identity and context, marketers can create timely, relevant, and responsible engagement that builds trust and drives meaningful outcomes.Personalization without context misses the moment
Marketers have spent years perfecting personalization — but personalization alone often misses the mark. We’ve all seen it. You shop for a weekend getaway, then get served travel ads weeks later when you’re already home. The data was right. The timing wasn’t.
Personalization based only on identity and behavior knows who you are but not when or why you’re ready to act.
At Experian, we believe AI should make marketing feel more human. That means understanding people in context, recognizing their environment, mindset, and the moment, to create relevance that feels timely, not intrusive.
The context gap: Why identity and behavior aren’t enough
Identity and behavioral data can reveal the kind of consumer someone is and the kind of products they may want to buy. But they don’t explain what’s happening right now.
The missing layer is context: the dynamic, real-time signal that shows why this moment matters. Context bridges the gap between knowing something about a consumer and understanding their intent.
In an era of fragmented signals and stricter privacy rules, context is one of the most reliable ways to stay relevant without over-reliance on personal identifiers. It helps marketers adapt to shifting needs while keeping privacy intact.
How Experian interprets context in real-time
By context, we mean all the subtle, in-the-moment signals, like time of day, location, or what someone’s watching, that shape what people care about in real-time. At Experian, our technology interprets these in real-time:
Temporal signals
Time-based patterns such as daypart (morning vs. evening), recency (how fresh a signal is), seasonality (holidays, life events), and micro-moments (split-second intent-driven actions).
Environmental signals
The media or content environment; what type of program, article, or channel someone is engaging with when they see your ad.
Situational intent
Signals like browsing behavior or purchase patterns that hint at a person’s stage in the buying journey, from early research to final decision.
By layering these signals over verified identity and behavioral data, Experian’s AI-powered technology helps marketers predict not just who will act, but when they’re ready to act.
Experian’s approach: Turning context into relevance
Consumer behavior changes by the minute, and marketers need to adapt just as quickly. Our technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring your campaigns deliver meaningful relevance, not just broader reach.
Our process combines:
Input
Clean, accurate identity and audience data anchored in our privacy-first framework.
Enrichment
Our models fuse household, device, and publisher context to reveal moment-based intent.
Activation
We’re investing in agentic workflows that help marketers plan and execute performance campaigns at scale, activated via our real-time technology that dynamically adjusts deals and surfaces contextually aligned opportunities.
Governance
Every signal and recommendation follows Experian’s principles of transparency, consent, and ethical oversight.
We call this AI-powered simplicity tools that help marketers work more efficiently, with intelligence that feels intuitive and human-centered.
How context changes the game for marketers
AI without real-time context can only react based on what it already knows. AI-powered by in-the-moment contextual data points enables marketers to anticipate, not just react.
A travel brand can shift creative from “dreaming” to “booking” mode when AI detects signals of active planning.
A retailer can align promotions with trending content or regional weather shifts in real time.
A CPG brand can trigger different product messages based on the context of recipes or household occasions.
Adjustments based on contextual signals compound into meaningful gains — higher engagement, better efficiency, and a consumer experience that feels natural rather than intrusive.
Context makes AI more human
Context introduces empathy into automation. It’s what keeps AI from overstepping, ensuring the message fits the moment. When marketers respect timing, environment, and intent, ads feel like service, not surveillance. Context transforms relevance into respect.
At Experian, our vision is to make every signal serve people, not profiles. Because the more our technology (including our AI tools and capabilities) understands context, the more human marketing becomes.
At Experian, responsible intelligence is built in
Every contextual model we deploy adheres to our standards for transparent and responsible innovation. We validate inputs, monitor model drift, and ensure no context-based variable introduces bias or privacy risk. This is what responsible automation looks like in practice: intelligent, explainable, and ethical.
From who to when: Context is the future of AI-driven marketing
Identity tells us who someone is. Context tells us when it matters.
The next wave of AI-driven marketing will unite privacy-first identity with contextual intelligence to deliver real-time relevance, responsibly. At Experian, we’re building that future now. Our AI-driven capabilities bring identity, insight, and generative intelligence together so brands, agencies, and platforms can reach the right people, at the right moment, with relevance and respect.
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About the author
Matthew Griffiths
SVP of Technology, Audigent, a part of Experian
Matthew Griffiths is a seasoned technology entrepreneur and a driving force in advertising technology, data technology, and AI. As the Co-Founder and former CTO (now SVP of Technology) at Audigent, a part of Experian, he plays a pivotal role in shaping the company’s cutting-edge solutions for data activation, curation, and identity management.
With years of executive experience across the U.S., Africa, and the U.K., Matthew has a proven track record of leadership in steering the adoption and use of cutting-edge technologies to drive business outcomes. His expertise spans from collaborating with top global corporations and governments to spearheading award-winning technology projects that deliver life-changing impacts in some of the world’s most underserved communities.
Matthew’s dynamic approach to solving complex business and technology challenges makes him a visionary leader in the AdTech space, consistently driving innovation and performance through technology.
FAQs
Context makes AI-driven marketing more effective because it helps marketers understand people in context, recognizing their environment, mindset, and the moment, to create relevance that feels timely, not intrusive. Context helps marketers understand not just who a person is, but when and why they’re ready to act. Experian’s AI-powered technology layers contextual signals over verified identity data to deliver relevance that feels intuitive, not invasive. This approach connects recognition with understanding, making every campaign more effective and more human.
Identity and behavioral data can reveal the kind of consumer someone is and the kind of products they may want to buy. But they don’t explain what’s happening right now. That’s the context gap—the missing link between knowing something about a consumer and understanding their intent. Context closes this gap by analyzing environmental, temporal, and situational signals that reveal intent—without using invasive identifiers.
Yes, at Experian, our technology interprets contextual signals, including temporal, environmental, and situational, in real-time. By layering these signals over Experian’s verified identity and behavioral data graph, marketers can predict when consumers are most receptive, turning data into real-time opportunity.
At Experian, every contextual model we deploy adheres to our standards for transparent and responsible innovation. We validate inputs, monitor model drift, and ensure no context-based variable introduces bias or privacy risk.
– Privacy-first clarity: We unify household, individual, device, demographic, behavioral, publisher first-party signals, and contextual data points to build a reliable view of consumers, even when certain signals are missing. This clarity helps marketers personalize, target, activate, and measure with confidence.
– Predictive insight: Our models go beyond describing the past. They forecast behaviors, fill gaps with inferred attributes, create lookalikes, and recommend next-best audiences so clients can anticipate opportunity.
– AI-powered simplicity: We’re investing in generative AI and exploring emerging agentic workflows to reimagine how marketers work. Our vision is to move beyond basic audience recommendations toward intelligent audience discovery and automated setup, helping teams uncover opportunities they may not have considered, while spending less time on manual work and more time on strategy and outcomes.
– Real-time intelligence: Consumer journeys never stand still. Our AI-powered technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring campaigns deliver meaningful relevance, not just broader reach.
– Transparent and responsible innovation: We drive safe, modular experimentation, from generative applications to agentic workflows, always balancing bold ideas with ethical guardrails. We stay at the forefront of evolving legislation and regulation, ensuring our innovations protect consumers, brands, and the broader ecosystem while moving the industry forward responsibly.
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 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. 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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. 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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 your 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