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
Originally appeared in AdExchanger Navigating the world of data and identity partners feels like scrolling through a dating app: a sea of options, but only a select few worth swiping right. To find your perfect match, look for a partner who ticks all the right boxes. Here’s your guide to finding your perfect match. 1. Identity resolution: It all starts with a strong foundation Great identity resolution depends on a rock-solid foundation. The best partners rely on offline data—like names, addresses, and emails—that rarely change, ensuring a consistent view of households, individuals, and their devices over time. You want someone who gives you the same understanding of your audience across every stage of a campaign. 2. In search of: A well-rounded, reliable identity partner When evaluating identity graphs, it’s essential to distinguish between digital-only graphs, offline graphs, and those rare gems who combine both. Digital graphs rely on digital identifiers, while offline graphs are grounded in persistent identifiers like name, address, and phone number. A partner who offers both creates a more complete and reliable view of consumers across channels, resulting in more effective targeting and measurement. 3. Match rates are like dating profiles—don’t be fooled by the numbers Match rates can look impressive, but they’re often misleading. They can also vary widely depending on the methodology and the IDs being tested. Some providers inflate match rates by limiting the scope of comparison or tweaking their standards. The real indicators of quality are the depth of the data, the quality of matches, and how often the graph is refreshed. Ideally, your partner updates their graph weekly or monthly. The inclusion of inactive IDs may inflate the perceived scale without reflecting the true addressable audience. It's like having a profile photo from ten years ago–a major no-no. 4. Authentic origins: Is their data genuine or just a catfish? Look into your partner’s data sources and place a premium on those with public records or direct to consumer relationships. Ask if they have the experience and expertise when it comes to all aspects of data processing from accuracy to privacy and security. Look for some clear third-party indicators for accuracy, like ratings from Truthset, but there is also a basic reality: either your partner is focused on privacy and accuracy, or they are just playing the scale game. Swipe left on those playing games. 5. The breadth to impress Depth matters as much as quality. Seek a partner with wide-ranging attributes that span key audience categories like demographics, interests, and purchase behavior. They should offer the flexibility to deliver both granular data scores and broad audience segments, empowering you to reach the right consumers across channels effectively. 6. The total package: Does your partner really have it all? A true, lifelong partner connects the dots seamlessly, offering a blend of data and identity that link households to devices while layering in rich marketing insights. This approach helps advertisers better understand their customers, reach the right audiences across channels, and measure the impact of their campaigns. The right partner is well-connected and ensures that all the pieces—identity, data, and activation—work in harmony. 7. Future-proof charm: Will they ghost you when cookies crumble? With the Identifier for Advertisers (IDFAs) gone, cookies on the wane, and IP addresses under scrutiny, a partner’s ability to adapt is critical. The most future-proofed solutions are based on offline identifiers like names and addresses, which are user provided and consented data points–making them more resistant to privacy changes. Additionally, look for partners who have made the necessary investments and are prepared to support the new wave of addressable IDs emerging as alternatives to traditional signals. 8. Privacy savvy: Do they respect boundaries? As privacy laws evolve, you need a partner with a strong history in privacy compliance and proactive leadership in navigating new regulations. Strong and transparent privacy policies and participation in privacy organizations are a good indicator of trustworthiness, especially as new rules emerge across different states. Look for a partner who takes data privacy as seriously as you do and gives you peace of mind when handling sensitive information. 9. Seamless connectivity: Do they play well with others? Data is only as useful as it is actionable. Connectivity across platforms is essential, so choose a partner with seamless integrations into the major platforms you rely on for advertising. This ensures your data quality and identity resolution remain intact throughout your campaigns, avoiding loss from multiple handoffs. 10. Killer customer service: Are they in it for the long haul? A great partner collaborates to solve challenges, not just to sell or upsell. Long-standing partnerships and testimonials about strong customer service are key indicators of reliability. Choose a partner who educates and guides you through technical and strategic challenges, fostering an environment where problem-solving and innovation thrive. Keep your standards high Only a handful of companies can meet these rigorous criteria, and you should refuse to settle for a partner that lacks any of these key dimensions. Successfully navigating signal loss, privacy compliance, and seamless omnichannel integration requires extensive resources, robust infrastructure, and years of expertise. Download our full matchmaking guide So, swipe right on a partner who can handle the complexities of modern marketing and deliver consistent, scalable successful marketing outcomes. Could we be your perfect match? Find out if it's a match today Latest posts
Delivering personalized customer experiences is essential, with 81% of customers preferring a personalized approach to their relationships with brands. However, 80% of consumers are concerned about how their data is used, presenting businesses with the challenge of balancing data collection and privacy with personalization. Despite consumer appetite for personalization, many organizations lack the data to make data-driven decisions: 68% of businesses don't understand how their customers think, and 82% don't confidently know their customers' pain points. Without this critical data, businesses cannot effectively create personalized consumer connections. Experian offers businesses robust and unique data through our Marketing Attributes to empower businesses with the insights required to derive accurate insights into consumers and drive personalized experiences. How Experian can help businesses with their data acquisition needs through Marketing Attributes Experian's Marketing Attributes allow businesses to license Experian's data attributes in part or full to provide reliable and accurate data solutions. These solutions assist companies in finding, reaching, and influencing their customers. They are supported by rigorous quality and privacy controls which has earned Experian a #1 data accuracy ranking by Truthset helping our clients reach people based on who they are, where they live, and what they do. Download our Marketing Attributes one sheet Experian has built a strong foundation of consumer behavioral and demographic data with over 5,000 attributes available across over 15 categories and verticals, helping our clients gain deep insights into their consumers. Below we go through five common use cases we have seen using Experian’s data to power various business initiatives. Exploring everyday use cases for Experian's Marketing Attributes 1. Understand areas of the country where your products or services are underserved For instance, a brand offers a diverse range of products that cater to various market segments and audience personas. They seek to gain a deeper understanding of geographic distribution to refine their marketing strategies. Specifically, they aim to identify which market areas are currently underserved, presenting a valuable opportunity for targeted marketing campaigns to boost product adoption in regions that have not fully embraced their offerings. Utilizing Marketing Attributes from Experian, the brand can access detailed data aggregated at the geographic level. This data provides crucial insights into markets where their products have seen limited adoption yet show a strong potential for success based on the preferences of their target audiences. This approach will help the brand strategically direct its marketing efforts to areas with high growth potential. Learn how Swiss Sense drove market-specific growth strategies with Experian 2. Better understand consumers who purchase within a category Brands frequently operate based on assumptions regarding their customers' preferences and interests, yet they may lack the comprehensive data necessary to substantiate these beliefs. Experian's Marketing Attributes provides brands with access to extensive data across 15 diverse verticals and categories. This wealth of information allows businesses to develop a holistic understanding of their customer base, enabling them to validate their assumptions and uncover valuable insights into customer behaviors. By utilizing this data, brands can significantly enhance their marketing strategies, refine their product offerings, and implement personalized tactics that resonate with their audiences on a deeper level. 3. Reach a new segment of the market for a new product offering Introducing a new product to a new segment of the market presents unique brand challenges. Without any historical customer data to draw upon, companies lack vital insights that could help them identify and reach their target audience. This absence of foundational knowledge makes it challenging to understand consumer preferences, craft suitable messaging, or determine the most effective channels for connecting with potential customers. To navigate these hurdles, brands frequently turn to Marketing Attributes for consumer research within the new segment. Analyzing demographics, common behaviors within a geographic region, or previous purchase behaviors can uncover patterns and preferences among potential customers. This deeper understanding enables them to create tailored audience models, allowing brands to develop and activate customized messaging based on common interests, identify channels consumers are most likely to engage by using TrueTouch data from Experian. 4. Create custom lookalike models based on your current customers We have found brands trying to launch an acquisition campaign to look at consumers whose behaviors and interests closely mirror those of their highest-converting customers. However, they often lack the necessary data to find new customers that look like their most loyal base. To address this gap, they turn to Marketing Attributes in combination with Experian’s Offline Graph or Digital Graph, which allow them to pinpoint and analyze the key characteristics and behaviors that define their top customers and reach these consumers on digital or offline channels. Marketing Attributes power the insights into their client’s behaviors and Experian’s Offline or Digital Graph create the linkage to their customer base. Using these insights, the brand can develop a distinct audience model tailored to reflect their most successful customers' unique traits and preferences. This customized approach will help them reach potential new customers who will likely engage and convert. 5. Develop unique audience products We have seen clients use their own first-party data alongside Experian Marketing Attributes and other data sets they own or lease. With Experian's Offline Graph or Digital Graph, they can connect the different data sources together to create a tailored audience solution that meets the specific needs of the brand's clients and the requirements of their market segment. Exploring joint solutions Combining Experian’s Offline Graph with Marketing Attributes Many customers use Experian’s Offline Graph with Marketing Attributes to connect Experian’s data to the brand’s offline marketing strategy. Experian’s Offline Graph offers companies a license of stable offline data points, like name, address, phone number, email, geographic, date of birth, and more that provide a complete view of household and individual identities. Powering use cases like: Regional consumer insights for marketing strategy, media activation, product and location planning Offline media activation, including direct mail, telemarketing, out-of-home, and more Client-driven enrichment The combination of Offline Graph and Marketing Attributes provides unmatched consumer connectivity, enabling clients to generate custom insights, inform product strategy, and activate marketing campaigns. Offline Graph acts as the link between consumers insights and activation. Download our Offline Graph + Marketing Attributes one sheet Combining Experian's Digital Graph with Marketing Attributes The uncertainty around third-party cookies in Chrome and the overall decline in signal complicates the industry’s ability to reach the right consumer. Omnichannel media consumption results in scattered data, making it harder for marketers and platforms to understand consumer behavior and reach them across channels. These challenges call for a comprehensive solution. Our Digital Graph and Marketing Attributes solution addresses these challenges by providing identifiers for seamless cross-channel engagement. By adding Marketing Attributes, like demographic and behavioral data, marketers and platforms also gain a better understanding of their customers. This solution uses Experian’s Living Unit ID (LUID) to combine offline and digital data, giving customers deeper insights into consumer behavior, greater audience reach, and improved cross-channel visibility. Transform insights into loyalty with Experian’s Marketing Attributes Experian's Marketing Attributes enable businesses to gain valuable insight into their prospects and customers. Through this deeper understanding, they can deliver personalized experiences while successfully navigating the complexities of data acquisition and privacy. This helpful information allows brands to make strategic, informed decisions that enhance their marketing efforts. Ultimately, these insights foster more substantial, meaningful connections between businesses and their customers, leading to enhanced customer satisfaction. Get started today Latest posts
Setting sail For hospitality and travel marketers, understanding which marketing efforts lead to actual bookings can be a tidal shift. Windstar Cruises—renowned for its intimate yachts and off-the-beaten-path itineraries—wanted data-driven visibility into how digital media placements translated into confirmed reservations. Windstar turned to the strategic media expertise of MMGY, a leading integrated marketing company dedicated to the travel, tourism, and hospitality industries and Experian's marketing data and identity solutions to bridge this gap. Together, they developed a closed-loop attribution system that directly tied digital campaigns to offline passenger bookings. The challenge: Blind spots in the booking journey Windstar Cruises had plenty of top-of-funnel metrics—impressions, clicks, website sessions, cruise quote requests—but struggled to connect these indicators to confirmed reservations. Without that link, it wasn't easy to pinpoint which audience segments were most valuable in their marketing campaigns or accurately measure return on ad spend (ROAS). Traditional attribution methods and limited booking system data painted an incomplete picture, leaving Windstar to wonder which media channels and audience strategies were truly driving revenue. MMGY and Experian: Bridging data gaps to power attribution Comprehensive pixel tag MMGY designed an online-offline measurement strategy and coordinated with Experian to deploy pixels across Windstar's digital media placements. These pixels captured valuable event-level data—ad exposures, clicks, site visits, and more—so that every interaction could be matched back to a future booking if it occurred. Identity resolution and data enrichment Using the Experian identity graph, Experian matched Windstar’s reservation data with its extensive consumer database. This approach provided a precise, individual-level view of how digital interactions translated into real-world sales. By combining pixel data (which identifies who viewed specific ads) with reservation data (which shows who ultimately made a booking), the solution delivered a comprehensive, end-to-end, multi-touch perspective on the customer journey. Advanced audience segmentation Utilizing MMGY’s powerful Terminal audience modeling platform—which integrates MMGY Travel Intelligence performance and intent data, Experian’s consumer intent data, and the client’s first-party data— MMGY in conjunction with Experian’s marketing analytics team developed custom audiences designed to drive incremental traveler growth. These audience segments identified travelers most likely to engage in the unique travel experiences Windstar offers. The insights revealed not only who these travelers are, but also where they consume media, how they make travel decisions, and what influences their purchasing behavior. This data guided the development of hyper-targeted media buys, ensuring Windstar’s messaging reached the right people on the right platforms at the right time—maximizing engagement and driving qualified leads. The results: Mapping spend to bookings By utilizing data connectivity and measurement, Windstar gained the insights needed to optimize every aspect of its marketing—audiences, media placements, channels, and more. This data-driven approach revealed which tactics were most effective and enabled Windstar to refine campaigns in real-time for maximum impact. 6,500+ bookings attributed to digital efforts: Over 6,500 bookings—valued at over $20 million—were tied to specific MMGY-managed placements, demonstrating which data-driven tactics led passengers to book. This level of attribution was only possible because we helped Windstar measure and connect the right data points. 13:1 ROAS: By investing $1.48 million in highly trackable, data-informed media, Windstar achieved an impressive 13:1 return on ad spend. Data connectivity gave Windstar the clarity needed to target the right audiences and channels—turning every $1 of spend into $13 of bookings. Actionable cost per booking benchmark: Armed with the ability to map ad spend to individual bookings, Windstar’s average cost per booking settled at $236. With insight into which audiences and placements performed best, Windstar adjusted its strategy in real-time, lowering acquisition costs across the board. High-value reservations: Attributed bookings were, on average, $500 higher in value than non-attributed bookings. By focusing on the right customer segments and messages—determined through precise measurement and segmentation—Windstar secured more bookings and maximized revenue per guest. Terminal Audiences outperformed: For Terminal-targeted segments, the ROAS soared to 28:1 with nearly half the cost per booking compared to non-Terminal audiences. This outcome illustrates how advanced data segmentation and connectivity deliver more profitable guests at lower acquisition costs—further proof that continuous optimization grounded in real data pays off. What this means for travel and hospitality Windstar's success story illuminates a bigger truth for the travel and hospitality industry: closing the attribution loop is no longer optional. In a fiercely competitive marketplace, brands need concrete proof that their marketing investments drive awareness and translates into real revenue. By marrying MMGY's travel-specific marketing acumen with Experian's marketing data and identity solutions, travel brands can: Invest with confidence: Marketing investment flows to the most effective channels and placements based on actual bookings, not superficial metrics. Refine strategies: Real-time attribution data creates a feedback loop marketers can use to iterate on messaging, creativity, and targeting for even stronger results. Capture higher-value guests: Pinpointing and appealing to likely travelers allows marketers to increase booking volume and total revenue per booking. Charting a course for data-driven success By seamlessly linking digital exposure to confirmed reservations, Experian and MMGY gave Windstar Cruises the compass they needed to navigate the complexities of digital marketing confidently. This new level of insight is empowering Windstar to double down on the campaigns, creatives, and segments that move the needle the most. For travel and hospitality brands worldwide, data-driven attribution goes beyond simply understanding what happened—it’s about shaping what comes next. When marketing decisions are guided by real customer journeys and precise ROI metrics, brands can make more innovative investments, foster stronger guest relationships, and chart a course toward sustainable growth. Ready to embark on your own data-driven journey? Contact us to learn how Experian and MMGY can help you create impactful, measurable marketing strategies. Contact us About MMGY MMGY is a leading integrated marketing company dedicated to the travel, tourism, and hospitality industries. With deep expertise spanning research, brand strategy, media planning, and creative execution, MMGY helps global travel brands forge meaningful connections with consumers. By utilizing data-driven insights, cutting-edge technology, and decades of experience, MMGY delivers strategic programs that capture attention and drive measurable results for its clients—ensuring that every marketing investment is tied to clear business outcomes. Latest posts