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
Leading global marketing technology company, Tapad, a part of Experian, adopts The Trade Desk’s streamlined cookie ID into its identity resolution solutions to increase global cookie coverage across the internet April 03, 2019 09:00 AM Eastern Daylight Time LOS ANGELES & NEW YORK–(BUSINESS WIRE)–Global marketing technology company, Tapad, a part of Experian, has partnered with The Trade Desk to onboard The Trade Desk’s unified ID solution into its digital identity driven solutions. The Trade Desk’s unified ID solution is free for all parties spanning the digital advertising supply chain, including SSPs, DSPs, DMPs and data providers. With leading players onboarding the unified ID solution, such as Tapad, streamlined cookie syncs make ad viewing experiences better for consumers, increase match rates for all parties, and expand cookie coverage on a global-scale. Adoption of The Trade Desk’s global cookie footprint enables Tapad customers to benefit from greater precision and potentially higher performing digital marketing campaigns. “Digital identity resolution is key to improving digital marketing campaigns. Supporting The Trade Desk’s unified ID solution, in conjunction with our cross-device and identity resolution offerings, helps us and the entire open ecosystem,” said Chris Feo, SVP of Global Data Licensing and Strategic Partnerships at Tapad. “It simplifies cookie syncing, and increases match rates among our partners; enabling our customers to improve marketing campaign performance.” “Identity is critical in the ecosystem and as a long-standing leader in the space, Tapad has shown a strong commitment to building digital identity resolution solutions that help marketers launch more effective campaigns on a global scale,” said Ed Chater, VP of Data Partnerships, The Trade Desk. “We are thrilled for their participation and look forward to solving the digital identity narrative across the industry through this partnership. The continued widespread adoption of the unified ID solution validates our collective mission to improve the effectiveness of digital advertising.” About Tapad Tapad, Inc. is a global marketing technology company and leader in digital identity resolution solutions. The Tapad Graph™, and related solutions, provide a privacy-safe approach to connecting device identifiers to brand and marketer data, thereby allowing for enhanced measurement, attribution, reach and ROI of marketing campaigns. The Tapad Graph™ enables marketers around the world to maximize campaign effectiveness and drive business results. Tapad is recognized across the industry for its innovation, growth and workplace culture, and has earned numerous awards, including the TMCnet Tech Culture Award. Based in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo, and is a wholly owned subsidiary of Telenor. About The Trade Desk, Inc. The Trade Desk™ is a technology company that empowers buyers of advertising. Through its self-service, cloud-based platform, ad buyers can create, manage, and optimize more expressive data-driven digital advertising campaigns across ad formats, including display, video, audio, native and, social, on a multitude of devices, such as computers, mobile devices, and connected TV. Integrations with major data, inventory, and publisher partners ensure maximum reach and decisioning capabilities, and enterprise APIs enable custom development on top of the platform. Headquartered in Ventura, CA, The Trade Desk has offices across North America, Europe, and Asia Pacific. To learn more, visit thetradedesk.com or follow us on Facebook, Twitter, and LinkedIn. Contact us today
by AdExchanger // Friday, March 15th, 2019 – 12:06 am “Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today's column is written by Preethy Vaidyanathan, chief product officer at Tapad, a part of Experian For years marketers asked, “How do we get more data?” Now that they've mastered data mining, marketers want to know what’s next. The time has come for organizations to make their abundance of digital data actionable, increase ROI and reach consumers with consistent, personalized experiences across all touchpoints. A seamless consumer experience can only be achieved by consolidating digital data. Organizations, however, are finding that consolidating data silos is more time-consuming and complicated than initially expected. The challenges One of the most pervasive obstacles companies face in when consolidating data is adopting inefficient and costly tactics that quickly become outdated. For instance, over the last couple of years, many companies turned to enterprise data warehouses to consolidate data silos, but some were too expensive or poorly suited for raw, unstructured and semi-structured data. This led companies to adopt data management initiatives, which bogged down many enterprises. Perception among senior level executives is another challenge. Many still question the need for digital transformation – achieving greater efficiencies through updating business and organizational processes with new technologies. Gartner found that more than half (54%) of senior executives say their digital business objective is transformational, while 46% say their objective is optimization. Digital transformation and data consolidation require time and effort. So, many large organizations work to overcome data silos as part of a multiyear digital transformation versus an immediate action item, delaying the benefits the company sees from taking on this project. All of these challenges make delaying progress in data consolidation easy, but companies should remember the impetus for doing so: creating a seamless customer experience that, in turn, drives business results. Brands with higher quality customer experience grow revenue faster than direct competitors with lower quality customer experience. The approach Many brands go into the digital transformation process assuming they have massive amounts of customer data, and that much of it is valuable or will be in the future. They might spend months aggregating that data in data stores or data lakes – at great expense. The trouble is that their data was scattered across multiple databases, which means it’s highly fragmented. As a result of this fragmentation, marketers can’t activate their data in ways that enhance the customer experience. To do so, companies must ensure their digital data is highly flexible so it can provide a holistic view of the consumer journey across every digital, in-store, in-venue and offline channel. I’d recommend that organizations taking on data centralization initiatives prioritize use cases that offer the company the greatest benefit. This is where organizations should establish a “crawl, walk, run” approach to data centralization to ensure key executives buy into the process. Starting with a subset of use cases, such as customer retention or upsell, or with a campaign, which is an even smaller starting point, allows executives to see the benefits of data consolidation projects relatively quickly. Once they validate these initial benefits, they can expand the range of use cases or campaigns, as well as the marketing ROI for their business. While data centralization is a long-term project that may take several years to complete, it doesn’t mean a business can’t get started now and see measurable results quickly. Break down data consolidation into stages so the organization can experience wins along the way. At the end of the day, data consolidation will help organizations deliver more effective marketing campaigns that drive business growth. Contact us today
Tapad's technology enhances Bidtellect clients frequency capping and audience extension capabilities cross device. NEW YORK, Feb. 28, 2019 /PRNewswire/ — Tapad, part of Experian, is a global marketing technology company and leader in digital identity resolution solutions, today announced a new partnership with Bidtellect (now Simpli.fi), a leading native Demand-Side Platform (DSP). Bidtellect's paid content distribution platform will leverage The Tapad Graph™ as its first cross-device partner. The integration will offer Bidtellect's clients in the U.S. and Canada cross-device frequency capping and enhanced audience extension capabilities. The combination of Tapad's leading cross-device technology, with Bidtellect's unparalleled scale and optimization capabilities, will allow content marketers within brands and agencies to develop even more strategic, effective content marketing campaigns. The Tapad Graph™ will allow content marketers to gain greater reach and create more relevant, unified messaging with targeted delivery, when used in conjunction with Bidtellect's technology. Marketers can expect to benefit from amplified reach, and enhanced, privacy-safe engagement with desired audiences as a result of this partnership. "Partnering with Tapad, the leaders in cross-device data, provides Bidtellect with a complete solution that leverages both probabilistic and deterministic mapping strategies," said Mike Conway, Chief Technology Officer at Bidtellect. "The Tapad relationship expands our audience size by providing the opportunity to reach the same user across multiple devices and, when used in conjunction with our frequency capping functionality, ensures increased reach, reduced ad saturation, and elimination of wasted ad spend." As the partnership progresses, Tapad will also work with Bidtellect to provide advanced attribution for conversions and engagement metrics including connectivity and amplification. These advanced insights will help brands and agencies develop a more holistic approach to content marketing, so they can build audiences and influence bidding algorithms that directly impact their business. "We're thrilled to be working with Bidtellect as the company's first cross-device partner," said Chris Feo, SVP of Global Data Licensing and Strategic Partnerships at Tapad. "At Tapad, we are continuously advancing our identity resolution solutions to keep pace with the ever-changing needs of marketers. As a part of that commitment, we look to work with partners where our technology is able to enhance their offering to better serve marketers. We are looking forward to creating that superior experience with the Bidtellect team." Contact us today