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
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Distribution via LiveRamp enables seamless cross-device customer experiences through more platforms NEW YORK, Nov. 15, 2016 /PRNewswire/ – Tapad, now part of Experian and the leading provider of unified cross-device marketing technology solutions, today announced an expanded partnership with LiveRamp™, an Acxiom® company and leading provider of omnichannel identity resolution, to make the proprietary Tapad Device Graph™ accessible beyond Tapad-hosted direct integrations. Through LiveRamp, Tapad's Device Graph Access now extends to more than 400 ad tech and mar tech platforms. Tapad's Device Graph™ enables marketers to understand, monetize and measure consumer engagement across all digital channels, and Tapad's unified consumer view is recognized as one of the most accurate, scalable cross-device solutions in the market today. Through the expanded partnership with LiveRamp, the Tapad Device Graph can be distributed to the hundreds of platforms used to reach consumers on digital channels and measure campaign performance – even as devices are added daily to Tapad's extensive graph. "Increasingly, marketers want access to cross-device targeting and measurement capabilities within their preferred platforms," said Anneka Gupta, chief product officer of LiveRamp. "Our expanded partnership makes it easy for marketers to access Tapad's graph through the rapidly growing set of integrations available in our partner ecosystem." This is the latest of several initiatives between the two technology platforms designed to make the integration of cross-screen platforms seamless, privacy-safe and easy to use for dynamic and engaging marketing efforts. "During the past year, Tapad has expanded its global presence and rapidly grown its data business – Tapad Coral – doubling the number of companies integrating our device graph into their platforms and growing our annualized run rate by 210%," said Pierre Martensson, GM of Tapad Coral and APAC. "Our expanded partnership with LiveRamp positions us to meet the increased demand for Tapad Device Graph Access and enable new platforms to apply our graph with unprecedented speed." Contact us today
Cross-Screen Pioneer Explores the Power of Connected Cars as a Vehicle for Customer Engagement LAS VEGAS, NV — (October 26, 2016) –Kate O’Loughlin, GM of Media for Tapad, addressed the J.D. Power Automotive conference audience today in Las Vegas, NV. With more than 1,400 participants representing every facet of the automotive marketing profession, the conference has become the industry's leading marketing event. Bringing the unified, cross-screen perspective to the stage, O’Loughlin discussed the vital role of connected cars in the consumer engagement process. She is a founding member of Tapad which launched the world’s first cross-screen marketing technology in 2010. Tapad was acquired by the Telenor Group early in 2016. Key points from O’Loughlin’s J.D. Power 2016 address included: The marketers who deliver relevant and engaging content in a privacy-safe setting will be in the strongest position to navigate the proliferation of connected devices, including the connected points in cars. As automakers innovate the technology in cars, marketers need to be prepared for the size and diversity of data available for understanding consumers. It’s going to be increasingly difficult to wade through the data, so now is the time to build a solid framework for understanding the person behind the data. Marketers who evolve — and take a holistic approach — to their campaign measurements will achieve marked improvements in efficiency and an enhanced understanding of their core audiences. Actionable brand engagement metrics like Viewable Exposure Time (VET) will continue to overtake traditional advertising performance metrics. VET evaluates the optimal amount of time an ad is present on a screen to incite consumer action. In early testing by Tapad, campaigns that employ VET see conversion rate performance improvements from 13 to 60%. The consumer-centric technology solutions of the future need to be as scalable as they are affordable. Learn more about Tapads’ recommended Viewable Exposure Time metric contact us today! Contact us today