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
We spoke with industry leaders from Ampersand, Basis Technologies, Captify, Cuebiq, CvE, Fetch, Madhive, MiQ, and Samsung to gather insights on how innovations in data and identity are creating stronger consumer connections. Here are five key insights to consider. 1. Build on trust with first-party data Stricter privacy regulations and growing customer expectations mean businesses must rethink how they gather and use data. A robust first-party data strategy centers on gathering high-quality data, such as behavioral and transactional data. By using behavioral, lifestyle, and purchasing data, brands can craft personalized strategies that align with their goals. This approach balances effective targeting with building trust and complying with privacy rules. Integrating identity solutions like Unified I.D. 2.0 (UID2) and ID5 into existing data strategies improves interoperability across platforms while keeping user privacy intact. These tools help create more effective campaigns. "We've been preparing and leaning into educating our clients around the value of first-party data. These are very important and primary considerations in any of our campaigns."April Weeks, Basis Technologies 2. Align metrics with business goals To demonstrate clear value, campaigns need to tie their outcomes to broader goals. Relying only on click-through rates or CPMs won’t cut it. Metrics that measure meaningful results, like driving sales or increasing customer retention, provide greater transparency than surface level data, like clicks or impressions. A continuous feedback loop between targeting and measurement ensures campaigns can be refined to better align with business objectives. This feedback helps marketers understand who they are targeting and how those audiences are driving key business results. Shifting focus to metrics that resonate with stakeholders ensures that marketing efforts are evaluated based on their true contribution to the company's objectives. "The television industry has access to more data than ever before, and at Samsung Ads, our ACR technology helps us provide valuable insights about what content and ads are being viewed. This abundance of data enables us to support clients in aligning their campaigns with business objectives effectively."Justin Evans, Samsung Ads 3. Personalize experiences to boost engagement Personalization drives stronger customer relationships by delivering tailored experiences to individual customer needs. Using data-driven insights to fine-tune offers and messaging makes interactions more relevant, strengthening brand loyalty. Combining behavioral, lifestyle, and transactional data provides a comprehensive understanding of the customer journey and ensures each touchpoint feels personal. Testing and iterating on personalization strategies also helps identify which data and approaches yield the best results. Scaling these efforts means customers receive the right messaging at the right time, and businesses see better outcomes. "Every business should be building a data strategy that thinks about the different versions of data that exist and how they bring that together. They don't necessarily need to own all of it but have a clear rationale and strategy about where you're using which data sets."Paul Frampton, CvE 4. Utilize advanced measurement tools for smarter decisions Improving the effectiveness of campaigns starts with using sophisticated measurement tools to gain actionable insights. Using analytics like brand lift studies, foot traffic analysis, app download tracking, incrementality, and share of search allows marketers to understand the full impact of their efforts. With these resources, teams can pinpoint what’s working, make real-time adjustments, and refine their approach. This adaptability ensures budgets are used as effectively as possible. Learn how Swiss Sense measured marketing outcomes using Mosaic® "We are playing a leading role in democratizing new tools for local advertisers. By mimicking the marketing funnel mentality, we've introduced solutions ranging from measuring brand lift to tracking foot traffic and app downloads."Luc Dumont, Madhive 5. Adapt quickly to stay competitive The only constant in advertising is change. Adapting quickly to new technologies and consumer behaviors keeps businesses competitive. A culture of agility fosters innovation, making it easier to respond to industry shifts and discover new opportunities. Companies that anticipate change and invest in modern data solutions position themselves for long-term growth. Whether it’s adjusting to privacy updates, exploring emerging tech, or staying flexible, businesses must continuously invest in adapting their platforms and strategies. "Falling behind is not really an option. There's always a change in advertising and in data where there's a new horizon. The people who stay close to that and innovate will always follow it."Amelia Waddington, Captify Shaping the future Building meaningful consumer connections requires advertisers to combine robust data strategies with flexibility and innovation. By focusing on these five considerations, marketers can adapt to today’s challenges while preparing for what’s ahead. Connect with our experts Latest posts
Agencies, platforms, and marketers stand at the crossroads of transformation, as privacy regulations tighten, technology accelerates, and consumer behaviors evolve. Yet these challenges also present extraordinary opportunities. Our 2025 Digital trends and predictions report highlights five trends that will shape 2025 and digs into: What’s changing in the market How to keep learning about your customers How to reach your customers in different places How to measure what’s really working along the way In this blog post, we’ll give you a sneak peek of three of these trends — from cracking the code of signal loss to tapping into the buzz around connected TV (CTV) and stepping up your omnichannel game. Think of it as a taste test before the main course. Ready for the full menu? Download our report to get the lowdown on all five trends. Download now 1. Signal loss: A rich appetizer of alternate ingredients As traditional cookies crumble, marketers need fresh ingredients to keep the flavor coming. Already, about 40% of browser traffic doesn’t support third-party cookies, and marketers are spicing things up with first-party data, alternative identifiers like Unified I.D. 2.0 (UID2) and ID5, and contextual targeting strategies. In fact, 50% more of our clients received alternative IDs (UID2, ID5, Hadron ID) in their Digital Graph in 2024 compared to 2023. The number of alternative IDs resolved to individuals in our Digital Graph increased by 30% year-over-year – as everyone looks beyond the cookie jar. There is no secret sauce to replace cookies. Instead, expect a multi-ID recipe that brings together different identifiers, unified by an identity graph. This approach turns a fragmented pantry of data into a cohesive meal, giving you a complete view of your customer on every plate. 2. The rising power of CTV: A hearty entrée of opportunities CTV is quickly becoming the main dish on the streaming menu, as viewers load up on their favorite shows. While CTV is slated to make up 20% of daily U.S. media consumption by 2026, advertisers are still holding back on pouring in the ad spend. To unlock its full flavor, marketers need to whip up solutions like frequency capping and unified audience activation. Although CTV will account for 20% of daily U.S. media consumption by 2026, it’s projected to command only 8.1% of ad spend. Frequency capping and unified audience activation solutions will be key to unlocking CTV’s full potential. By 2025, nearly half of CTV "diners" will choose free ad-supported streaming TV (FAST). Marketers need strategies to prevent ad overexposure. With 50% of U.S. consumers avoiding products due to ad overload, and 30% of marketers willing to increase their CTV spend if frequency capping improves, unified identity solutions help ensure every impression is served just right. 3. Omnichannel: A flavorful fusion plate No one likes a one-flavor meal. Marketers are moving beyond single-channel “side dishes” to omnichannel “fusion feasts” that blend direct mail, digital, CTV, and retail media networks (RMNs) into a truly cohesive culinary experience. Even though only 21% of global B2C professionals currently put omnichannel at the top of their shopping list, the growing demand for seamless, audience-first campaigns is heating up. In 2025, having an audience-first approach will be like having a perfect pairing for every course. Unified identity solutions act as your master sommelier, ensuring that each channel complements the next, and every customer enjoys a well-rounded, memorable journey. Vertical trends: A dessert sampler from four unique kitchens Different markets have their own signature flavors. In Auto, crossover utility vehicles (CUVs) claim 51% of new vehicle registrations, and consumers in the 35-54 age group and families are the primary buyers. Automotive marketers should prioritize CUV advertising with a strong focus on family-oriented and income-appropriate messaging In Financial Services, marketers need to anticipate shifts in consumer behavior tied to economic conditions, such as increasing demand for deposit products when interest rates are high. For insurance, aligning campaigns with life events, like new home purchases or marriage, can maximize engagement. In Healthcare, advertisers are prioritizing personalized, regulation-compliant campaigns that address social determinants of health (SDOH). In Retail, advertisers are increasingly activating on both CTV and social platforms, with many managing their own in-house campaigns. While larger brands often rely on media agencies, a shift toward in-house media buying is emerging among some bigger players, offering more control over audience targeting and performance metrics. Our report covers each vertical’s unique menu, helping you select the right “ingredients” for your customers. With the top Experian Audiences on hand, you can create feasts that delight, nourish, and convert. Hungry for more? Download our full menu The three “samples” you’ve just tasted are just the starters. Our 2025 Digital trends and predictions report serves up five insights, complete with strategies, data, and tools to help you adapt, scale, and thrive in 2025. Ready for the full menu? Download our report now and discover all five trends that will shape your marketing “cookbook” in 2025. Bon appétit! Download now Experian's U.K. 2025 advertising trends This article highlights the major advertising trends set to shape the U.S. market in 2025, but significant industry changes are happening on a global scale. For a more comprehensive look at worldwide trends, check out Experian's U.K. 2025 advertising trends. Read now Contact us Latest posts
Swiss Sense’s mission is to provide exceptional sleep comfort for all. The European retailer analyzed their customer data in one market to better understand their ideal customer profile and scale these learnings to other markets. To achieve this, Swiss Sense used Experian’s Mosaic® data, a profiling tool that segments households into categories based on their lifestyle, interests, and demographics. Using Mosaic data, Swiss Sense identified key customer personas and tailored their communications to match. Partnering with Experian, they created personalized product recommendations and delivered targeted messaging through direct mail, out-of-home (OOH) advertising, and leafleting campaigns. What is Mosiac? Experian’s Mosaic data helps businesses understand their customers better by grouping households into segments based on their lifestyles, interests, and financial situations. It gives marketers a clear picture of who their customers are, so they can create more targeted campaigns. Challenge: Utilize data-driven insights to drive market-specific growth strategies Swiss Sense wanted to expand its presence across all of its markets. To achieve this, they analyzed customer data in the Netherlands to identify their ideal customer profiles and replicate their success in other regions. Their objectives included: Develop regional strategies Integrate data-driven insights into their local and international marketing strategy The solution to achieve data-driven marketing Swiss Sense saw that Experian could provide a data-driven view of customers in other countries using both Global and local Mosaic profiles. They chose Experian as their partner to ensure a persona-based segmentation across multiple countries. This partnership allowed Swiss Sense to: Gain consistent customer insights across all operational markets. Equip marketing and operational teams with precise data for targeting and personalization. Drive adoption of the segmentation strategy by giving end users access to a bespoke dashboard with the data. Results: Driving targeted marketing and personalized experiences with Mosiac By partnering with Experian, Swiss Sense was able to seamlessly implement a solution tailored to their unique needs. Swiss Sense gained an overview of its customer base while using the more granular Mosaic data in each country to gain the optimal understanding of each region’s customers. These insights helped Swiss Sense’s marketing team, allowing them to craft targeted customer content, suggest relevant imagery, and adopt the right tone of voice. Identifying key Mosaic growth segments further enabled Swiss Sense to focus marketing efforts on regions and cities over-indexing for their ideal customer types. This led to the execution of highly targeted offline campaigns, including: Direct mail flyers delivered to target audiences’ homes OOH advertising in cities where key segments over-index Distributing leaflets in public places such as target town centers Download our case study for the full details of Swiss Sense’s journey to international growth. Download the full case study now Contact us About Swiss Sense Founded by the Diks family in 2006, Swiss Sense is a Dutch family-owned retailer specializing in high-quality beds, mattresses, and bedroom accessories. With over 2,000 employees and stores across multiple European countries, Swiss Sense is dedicated to providing exceptional sleep comfort for all. To learn more, please visit www.SwissSense.nl. Latest posts