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.
Get started now
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
Autotrader leverages The Tapad Device GraphTM to achieve higher performance and reach new audiences across all devices New York, NY – September 6, 2017 – Tapad, the leader in cross-device marketing technology and now a part of Experian, today revealed findings from a campaign conducted with Autotrader which connects with more actual car buyers than any other third-party listing site.* Autotrader’s premium audience, combined with the Tapad Device GraphTM, delivered significant audience extension across desktop, mobile, and tablet to drive awareness and maximize both reach and delivery across screens. To help analyze shopping behaviors across multiple devices, the global automotive brand for this campaign turned to Autotrader and Tapad, who created a cross-device pre-roll video strategy with a focus on viewability, concentrating on potential customers already searching for vehicles. By using a one-to-one connection, instead of look-alike modeling, Tapad also ensured that the automotive brand discovered only new consumers across all of their devices. This approach discovered a new potential audience of more than 14 million consumers, eliminated communication waste and the risk of duplicates, increased overall performance, and ensured more of their campaign dollars reached meaningful audiences. Overall, this case study represents a leap forward in terms of audience-based targeting and the highly-sought after multi-touch attribution modeling. “We really enjoy working with the team at Tapad to help execute our Audience Extension campaigns”, said Lynne Green, product manager at Autotrader. “Their ability to meet the demands of an ever-changing industry, as well as their dependable customer service has allowed us to confidently deliver against our unique in-market automotive audience and provide our clients ongoing messaging opportunities to our audience beyond Autotrader.com.” “How identity relates to conversion behavior is a complex part of any advertising campaign,” said Jeff Kelosky, RVP and head of global automotive at Tapad. “After identifying auto consumer’s behavioral patterns and device usage while shopping for vehicles, we knew we could successfully help Autotrader and its automotive brand clients maximize campaign viewability and drive results.” To learn more about using Audience Extension with Autotrader, click here. For more about the Tapad Device GraphTM, or to request a demo, visit https://www.experian.com/marketing/consumer-sync Contact us today
With campaigns applied to seven major holding companies, Tapad continues to see healthy adoption with The Trade Desk clients NEW YORK, NY – August 23, 2017 - Tapad, now a part of Experian, the leader in cross-device marketing technology, today announced its ongoing momentum with The Trade Desk, Inc. (Nasdaq: TTD), a global technology platform for buyers of advertising. Tapad is providing cross-device segments from the groundbreaking Tapad Device GraphTM through The Trade Desk’s platform. Since 2015, Tapad has seen steady growth in the use of its cross-device data across The Trade Desk platform. This forward progress continues, as 1H2017 saw important milestones for Tapad. Seven major private and independent holding companies now apply Tapad’s data to their campaigns, in addition to more than 1,500 unique brands. Tapad’s proprietary Device GraphTM connects billions of devices, providing unified and insightful data for brands, agencies, and marketers across the globe. Several of these clients, representing varying industries from financial, to auto, CPG and retail, apply Tapad’s data across a number of key tactics and strategies, including: first party CRM extension, third party audience extension, cross-device retargeting, cross-device frequency management, and more. Clients in these verticals continue to rely on Tapad’s cross-device data, as Tapad saw the amount of usage by financial and retail clients grow by four times over the past year, and double for automotive and CPG clients. “We are pleased to offer our clients access to Tapad’s device graph”, said David Danziger, VP of Data Partnerships, The Trade Desk. “Their cross-device identification capabilities have been a powerful addition to our omnichannel platform.” “This integration is a shining example of the amplifying effect of two of the best platforms working together,” said Chris Feo, SVP of Global Partnerships at Tapad. "Clients leveraging Tapad's Device Graph in The Trade Desk platform have the potential to see higher returns and reach with access to substantial cross-device data, as well as a very effective media platform." Contact us today
Tapad Device Graph™ and Sojern’s mobile offering unify travel intent signals; achieve amplification rate of more than 600 percent NEW YORK, June 15, 2017 – Tapad, a part of Experian, the leader in cross-device marketing technology, is partnering with Sojern, travel’s direct demand engine, to provide marketers with an even stronger understanding of travelers as they research and shop across multiple devices. Combined with its 350 million global traveler profiles and billions of predictive purchase intent signals, Sojern utilizes the Tapad Device Graph™ to resolve the complex travel consumer journey, target travelers more precisely, and derive more actionable insights for its travel clientele. According to Sojern’s research, travelers visit hundreds of websites preceding their trip purchase, with some consumers reaching upwards of 450 touchpoints prior to booking. Sojern’s partnership with Tapad will help unify these touchpoints across devices, enabling travel brands to more effectively nurture and engage potential buyers during the purchase process, regardless of which device they use. “Sojern’s been focused on travel for over a decade, helping brands activate predictive purchase signals and leverage our traveler profiles into effective performance marketing campaigns,” said Mat Harris, Sojern’s VP of Product, Enterprise Solutions. “The cross-device insights we gain from the Tapad Device Graph provide a valuable tool for our customers to reach travelers across devices in real-time and at scale, on the right device.” Prior to selecting Tapad as its cross-device partner, Sojern surveyed several probabilistic and deterministic cross-device vendors and performed an extensive global test. The test was an examination of scale, match rate and several other factors, which enabled Sojern to learn as much as possible about each vendor. After examining the final test results, Sojern selected Tapad based on its excellent test performance, tried-and-true experience in the market and complimentary business model. To date, Sojern has already seen an amplification rate of more than 600 percent as a result of the integration, meaning that the Tapad Device Graph is connecting an average of six or more device and browser IDs for every one existing Sojern ID. “Not only is Sojern a compatible partner for our singular Device Graph capabilities, but they are also an incredible data partner to help expand our work in the travel industry,” said Pierre Martensson, SVP and GM of Tapad’s global data division. “Working with the team at Sojern allows us to solve a true challenge within the travel industry today: creating a unified view of customers so travel brands can better understand and access their key audiences at every point along their path to purchase.” Contact us today