At A Glance
Your audience strategy works like a story. First-party data sets the outline, but scale and relevance come from connecting additional signals such as contextual, geographic, and behavioral data. Experian helps CMOs unify these inputs through identity, enabling consistent activation, privacy-forward targeting, and measurable outcomes as marketing strategies evolve in 2026.How should CMOs think about data as part of their audience strategy?
The best digital marketers possess excellent storytelling capabilities—and they fuel the plot with data.
When you think about it, your audience strategy is the whole story, and the type of data you use helps create each chapter. Just as any good book incorporates numerous literary devices, you must use more than one type of data to develop a dynamic, relevant, and timely narrative that captures your target users’ attention.
In 2026, marketers should prioritize and invest in data and targeting strategies beyond just first-party to drive growth, improve efficiency, and strengthen customer relationships.
Our 2026 Digital trends and predictions report is available now and reveals five trends that will define 2026. From curation becoming the standard in programmatic to AI moving from hype to implementation, each trend reflects a shift toward more connected, data-driven marketing. The interplay between them will define how marketers will lead in 2026.
Why is first-party data not sufficient on its own?
First-party data provides a strong foundation for targeting and measurement. It reflects information consumers have shared directly through brand interactions. That makes it reliable and central to audience strategy.
That foundation alone does not tell the full story. First-party data defines known customers, but limits reach and frequency. Growth depends on expanding beyond existing relationships.
Think of first-party data as a way to create an outline, not the whole story, about your target audiences—the main characters in your marketing. To flesh out the entire narrative about them, you must source, connect, and activate additional data.
The ability to unify different data sources with accuracy, scale, and privacy at the forefront sits at the core of Experian’s business. We unify household, individual, device, demographic, behavioral, and first-party signals, along with contextual and geographic data points, to build a reliable view of consumers, even when specific signals are missing. This clarity helps you personalize, target, activate, and measure with confidence.
By layering third-party data, contextual data, and geolocation data onto your first-party data foundation, your advertising strategies become stronger than if you used any of these sources as standalone solutions.
How do different types of third-party data add depth to audience profiles?
Third-party data expands understanding beyond known customers. If first-party data is the outline, third-party data helps with “character development”—a.k.a., addingdetailto your audience profiles. Good third-party marketing data complements first-party insights with demographic, behavioral, and transactional context, providing the missing puzzle pieces to complete the full customer profile. Filling in gaps in customer understanding helps youidentify, reach, and engage current and new customers more effectively. Third-party data allows brands to build loyalty with consumers by speaking to their interests and intent behind purchases.
Third-party data opens up new targeting tactics for advertisers, such as:
In addition to targeting, third-party data also remains critical to AI models, which must train on both structured and unstructured data. At Experian, 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.
How are contextual and geographic approaches reshaping audience targeting?
Contextual and geographic approaches to targeting focus on environment and behavior rather than identifiers. Regulatory scrutiny, stricter and more fragmented compliance standards, and rising consumer expectations are transforming how marketers approach third-party data targeting. Evolving privacy laws and inconsistent identifiers across environments require new approaches that balance performance and privacy.
Contextual and geographic targeting help marketers reach relevant audiences while maintaining privacy.
What is data-informed contextual targeting?
Contextual targeting connects audience attributes to the content environments people choose. It helps determine the setting of your story—where your characters spend their time.
Solutions like Experian’s Contextually-Indexed Audiences harness advanced machine learning technology to combine contextual signals (a tried–and-true targeting tactic) with third-party targeting to ensure marketers reach their target audiences on the content they tend to consume, regardless of environment or location. What’s excellent about data-informed contextual targeting is that it moves beyond traditional keyword-based strategies to reach consumers on websites that over-index for visitors with the demographics, behaviors, or interests they are looking to target.
What is data-informed geotargeting?
Geotargeting uses shared location patterns to support relevance at scale. Geotargeting is another possibility for further developing the scene of your story.
People with similar behaviors and interests tend to live in similar areas, which is why so much effort goes into location planning for brick-and-mortar stores. Data-informed geotargeting combines geos with third-party data to make more informed media buys based on common behaviors within a geographic location.
We launched our Geo-Indexed audiences, which use advanced indexing technology to identify and reach consumers based on their geographic attributes. These audiences help marketers discover, segment, and craft messaging for consumers without relying on sensitive personal information, enabling them to reach target audiences while maintaining data privacy confidently.
What role does AI play in third-party data targeting?
AI acts like an automated editor of your book, refining and finding new ways to put valuable third-party audiences and data to work without relying on segments linked to known or disparate identifiers.
We’ve used AI and machine learning at Experian for decades to bring identity, insight, and generative intelligence together so brands and agencies can reach the right people, with relevance, respect, and simplicity.
Why does a balanced, integrated approach that combines first-party, third-party, contextual, and geo-targeting data matter?
The combined effects of integrating third-party, contextual, and geotargeting data (and the marketing tactics it underpins) with first-party data will drive your success.
Think of how any good author crafts a story. Regardless of whether it’s fiction or non-fiction, they draw on both first-person experience and external research and sources to develop their plot. No single data source tells the full story. Integration allows marketers to understand audiences more completely and act with confidence.
Pooling these inputs together moves you closer to your goal of understanding the whole story about your target customers. In fact, an almost even number of marketers plan to use contextual targeting (41%) and first-party data (40%) as their main targeting strategies, amid privacy laws and the loss of persistent advertisers.
| Primary data strategy | Percent of marketers that plan to use this data strategy |
| Contextual targeting | 41% |
| First-party data | 40% |
A brand with strong first-party insights can extend reach by layering in additional signals. For example, a nutrition brand that knows who purchases protein supplements can expand prospecting by combining:
By connecting these inputs, the brand can identify new health-conscious audiences with similar interests and behaviors. This approach supports privacy-safe targeting while improving engagement and performance.
How can marketers build an integrated data strategy in 2026?
An integrated data strategy reduces friction and supports scale. The right data partner offers a unified solution that helps unify data, activate audiences, and adapt as the ecosystem evolves. Here’s how:
Marketers who want to create and activate campaigns more efficiently and effectively in 2026 need an integrated approach that combines first-party, third-party, contextual, and geotargeting data. Streamlining data integration and activation positions brands and agencies for sustainable growth and stronger consumer relationships in a privacy-conscious marketplace.
Build your next chapter on a connected data foundation
As audience strategies evolve, connection and interoperability matter more than ever. Connect with our team to learn how Experian helps marketers unify data, identity, and activation across channels.
About the author
Scott Kozub
VP, Product Management, Experian
Scott Kozub is the Vice President of the Product Management team at Experian Marketing Services working across the entire product portfolio. He has over 20 years of product experience in the marketing and advertising space. He’s been with a few startups and spent many years at FICO and Oracle Data Cloud heavily focused on loyalty marketing and advertising technology.
FAQs
In 2026, CMOs should prioritize and invest in data and targeting strategies that combine first-party, third-party, contextual, and geographic data to drive growth, improve efficiency, and strengthen customer relationships.
First-party data is not sufficient on its own because first-party data defines known customers but limits reach and frequency. Growth depends on expanding beyond existing relationships. The ability to unify different data sources with accuracy, scale, and privacy at the forefront sits at the core of Experian’s business. We unify household, individual, device, demographic, behavioral, and first-party signals, along with contextual and geographic data points, to build a reliable view of consumers, even when specific signals are missing. This clarity helps you personalize, target, activate, and measure with confidence.
Third-party data expands understanding beyond known customers. Third-party data opens up new targeting tactics for advertisers, such as:
– Location: Where people live, work, or spend large amounts of time
– Health: A combination of demographics, behaviors, and health needs
– Purchases: Using previous purchase behavior to identify the right audiences
– Behavioral: How people engage with brands or how they use social media
– Interest: Delivering ads based on interests, hobbies, or online activities
– Psychographics: Shared characteristics like attitudes, lifestyles, and interests
– Demographic: Age, gender, education, income, and religion
In addition to targeting, third-party data also remains critical to AI models, which must train on both structured and unstructured data. At Experian, 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.
Data-informed contextual targeting connects audience attributes to the content environments people choose. It helps determine the setting of your story—where your characters spend their time. Experian’s Contextually-Indexed Audiences harness advanced machine learning technology to combine contextual signals (a tried–and-true targeting tactic) with third-party targeting to ensure marketers reach their target audiences on the content they tend to consume, regardless of environment or location.
Data-informed geotargeting uses shared location patterns to support relevance at scale. Experian launched our Geo-Indexed audiences, which use advanced indexing technology to identify and reach consumers based on their geographic attributes. These audiences help marketers discover, segment, and craft messaging for consumers without relying on sensitive personal information, enabling them to reach target audiences while maintaining data privacy confidently.
In third-party data targeting, AI refines and finds new ways to put valuable third-party audiences and data to work without relying on segments linked to known or disparate identifiers. We’ve used AI and machine learning at Experian for decades to bring identity, insight, and generative intelligence together so brands and agencies can reach the right people, with relevance, respect, and simplicity.
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Originally appeared in Streaming Media Magazine Navigating today’s fragmented, privacy-conscious media landscape is a bit like stepping into a dense jungle. The buy-side—marketers, agencies, and demand-side platforms (DSPs)—must find their way through signal loss, measurement challenges, and evolving consumer expectations. But this isn’t just a challenge; it’s a strategic opportunity. Let’s dive into how buy-side players can use Experian’s advanced data and identity solutions to be their guide through the jungle and emerge as winners. Marketers: Maintaining personalization and measurement across channels Marketers are navigating an increasingly fragmented media jungle, where the deprecation of signals like cookies, mobile ad IDs (MAIDs), and IP addresses makes finding and understanding audiences feel like guesswork. To chart a clear path, marketers need a reliable compass—and identity resolution provides exactly that. A strong identity provider, grounded in offline data like names, addresses, phone numbers, and emails, acts as a guide through the chaos. By connecting offline signals with digital identifiers in a privacy-first manner, marketers can uncover the relationships between households and devices, then enrich those profiles with valuable marketing data. With a complete view of your customers, you gain deeper insights and can seamlessly reach the right audience across channels—even as signals evolve. It’s a marketer’s North Star—constant, dependable, and always pointing you in the right direction. How Experian can help Imagine a financial services brand aiming to connect with high-net-worth individuals across today’s fragmented media world. They’ve excelled on social and search but now want to dive into connected TV (CTV) and other emerging channels. Enter Experian’s Digital Graph. By seamlessly connecting digital identifiers like MAIDs, CTV IDs and hashed emails (HEMs), our graph becomes the bridge that unifies their audience across every channel. Suddenly, the same audience that saw their ad on social during lunch is now watching a personalized spot on CTV that evening, all thanks to Experian. The result? A cohesive campaign that delivers hyper-relevant messages, stronger engagement, and measurable success. With Experian, fragmentation becomes connection, and personalization stays powerful across the entire media landscape. Agencies: Strategic partners in a fragmented world Agencies are the architects of the identity jungle, building bridges that guide brands through fragmentation and deliver campaign success. Thriving in this terrain requires data solutions that create actionable insights, enable personalization, and drive measurable outcomes. To meet marketers’ demands, many agencies have invested heavily—acquiring data companies or forging strategic partnerships to strengthen their foundations in data and identity solutions. These investments help them connect fragmented audience data and unlock new opportunities for their clients. But even with in-house capabilities, agencies often need more—more attributes, more integrations, and greater connectivity. In the jungle of identity, success isn’t just about building better data assets; it’s about ensuring those assets can be utilized across platforms. How Experian can help Picture a large independent agency ready to step up its game—expanding beyond its middle-market niche to attract enterprise-level clients. But to play in the big leagues, they need more than a solid strategy; they need data and identity solutions that deliver a competitive edge. Enter Experian. With our rich identity graph and deep customer insights, the agency can unlock new opportunities for its clients. Imagine offering enterprises the ability to connect fragmented audience data, create hyper-targeted campaigns, and measure success across every channel. The payoff? The agency doesn’t just win over new enterprise clients; it strengthens relationships with existing customers by proving it can navigate today’s fragmented media landscape with precision and measurable impact. With Experian, the agency becomes an indispensable strategic partner in the data-driven advertising world. DSPs: Navigating signal loss with a multi-ID strategy For DSPs, navigating the identity jungle means forging a path through the winding trails of cookieless strategies. With third-party cookies fading and no single identity solution—like Unified ID 2.0 (UID2)—able to cover all media engagement, DSPs must adapt to a multi-ID world. The challenge is twofold: finding flexible solutions to manage a multitude of identifiers while staying compliant with a growing number of state-level privacy laws. It’s not just a technical problem; it’s a call for strategic vision. And the way to thrive in this ever-changing terrain is to invest in identity solutions that connect digital and offline identifiers to a single customer profile. How Experian can help Imagine a DSP navigating a complex web of identifiers—UID2, HEMs, proprietary IDs—while juggling compliance with evolving privacy laws. Experian steps in as the ultimate connector. Our identity solutions, powered by stable offline data, are signal-agnostic and integrated across the advertising ecosystem. This ensures that DSPs can confidently manage multiple identity frameworks, keeping campaigns targeted, measurable, and compliant. With Experian, DSPs gain more than a stopgap solution; they get a future-proof identity strategy. The result? Better targeting, smoother omnichannel execution, and the strategic edge needed to thrive in a fragmented, multi-ID world. Turning identity challenges into a strategic advantage The identity jungle is a thriving ecosystem for those with the right guide. Experian helps marketers, agencies, and DSPs chart the course by unifying multiple identifiers into a single, complete customer profile. With the right tools (and a good map), buy-side stakeholders can learn more about their customer, reach audiences across channels, and deliver personalized marketing. Read our companion article to learn how the sell-side is approaching data and identity challenges. Read now Get started today 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. Download our new 2026 Digital trends and predictions report Marketing in 2026 will be defined by connection: between activation and measurement, data and AI, platforms and outcomes. These connections are what turn innovation into impact, and they’re where Experian helps marketers lead with confidence. What you'll learn AI is only as good as its data : Find out why the marketers who shape how AI works, with high-integrity, human-centered data, will be the ones who lead. Activation and measurement are coming together: Explore how marketers are shifting from reporting after the fact to guiding performance in the moment. First-party data activation is becoming a foundational capability: See how it’s now possible to onboard and activate privacy-compliant audiences across channels, all from a single system. Commerce media is no longer just a retail play: Understand why auto, CPG, financial services, and travel brands are now adopting retail-style models to connect data, media, and sales outcomes. Curation is the new programmatic standard: Learn how curation brings identity, quality, and control together, allowing marketers to target confidently across connected TV (CTV), audio, and the open web. 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