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.
Latest posts
The holiday season is almost here, and knowing how each generation plans to shop can give your holiday advertising campaigns the edge you need. Our recent survey of 1,000 U.S. consumers reveals 2024 holiday shopping trends for each generation and key insights into their anticipated spending levels, preferred shopping categories, and how they look for gift ideas. In this blog post, we'll explore three 2024 holiday shopping trends across generations: Projected consumer spending Top categories on shoppers' lists Preferred channels for researching gifts Download our 2024 report 1. Projected consumer spending Over 1 in 3 Gen Z and Millennials are gearing up to increase their holiday budgets this year, while Gen X and Boomers are likelier to stick to last year's budget. 36% of Millennials and Gen Z plan to spend more this holiday season 45% of Gen X and 52% of Boomers expect their spending to remain consistent with last year What this means for marketers These insights highlight the importance of tailoring your messaging. For Gen Z and Millennials, emphasize value and unique offerings that justify increased spending. For Gen X and Boomers, focus on trust and reliability, reinforcing their confidence in your brand. How Experian can help you target these audiences Experian’s custom and syndicated audience segments, including Holiday Shopper High Spenders and Holiday Shopper Moderate Spenders, enable you to connect with these diverse consumer groups. Our audiences are available on-the-shelf of leading ad platforms to help you reach people across social, TV, and mobile. The election effect U.S. holiday retail sales saw 4.1% YoY growth in 2016 and 8.3% YoY growth in 2020 following presidential elections. There’s a chance that holiday spending increases after the 2024 election, regardless of the outcome. Experian has 240+ politically relevant audiences that you can activate across major ad platforms ahead of the upcoming election. 2. Top categories on shoppers' lists Different generations have distinct preferences when it comes to what they plan to buy. Gift cards top the list for Gen X and Boomers, while Gen Z leans toward clothing. Millennials are looking to splurge on toys, electronics, and experiences. 69% of Boomers and Gen X plan to purchase gift cards 72% of Gen Z will buy clothing 45% of Millennials will buy health and beauty items 25% of Millennials will buy tickets and 22% of Millennials will buy experiences What this means for marketers Align your product offerings and promotions with each generation's preferences to capture their attention. For example, highlighting versatile gift cards may resonate more with older generations, while showcasing trendy apparel and tech gadgets will appeal to younger consumers. How Experian can help you target these shoppers We offer audience segments like Holiday Shoppers: Apparel, Cosmetics & Beauty Spenders, and Toys Shoppers that you can activate to connect with consumers primed to purchase in these categories. We recently released 19 new holiday shopping audiences we recommend targeting to drive engagement and conversions. Download our audience recommendations here. 3. Preferred channels for researching gift ideas When it comes to finding the perfect gifts, Gen Z turns to social media, while Millennials prefer online reviews and video content. Boomers and Gen X are more inclined to visit physical stores for hands-on product evaluations. 29% of Gen Z and 26% of Millennials will look for gift ideas on social media 44% of Millennials will rely on video reviews and product demos on platforms like YouTube 49% of Gen X and Boomers plan to visit physical stores to evaluate products in person What this means for marketers Understanding where each generation looks for inspiration can guide your content and ad placement strategy. To engage Gen Z, focus on social media campaigns and influencer partnerships. For Millennials, consider investing in video content and reviews. For older generations, ensure your in-store experience is optimized to convert browsing into purchases. How Experian can help you engage these shoppers Our TrueTouchTM audiences can help you pair the perfect messaging styles with the right channels and calls to action. Our Social media channel and content engagement audiences can help you reach Gen Z who are likely to be active users on major social platforms and are Black Friday shoppers. For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Download our new 2025 Holiday spending trends and insights report This holiday season is about more than just transactions – it’s about cultivating meaningful connections with your audience. Download our 2025 Holiday spending trends and insights report, in collaboration with GroundTruth, to access all of our predictions for this year’s holiday season. Download now When you work with Experian for your holiday shopping campaigns, you’re getting: Accurate consumer insights: Better understand your customers’ behavioral and demographic attributes with our #1 ranked data covering the full U.S. population. Signal-agnostic identity solutions: Our deep understanding of people in the offline and digital worlds provides you with a persistent linkage of personally identifiable information (PII) data and digital IDs, ensuring you accurate cross-device targeting, addressability and measurement. Secure connectivity: Bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing the integrations we have across the ecosystem, and using our marketing data in flexible ways. Make the most of this holiday shopping season with Experian. Contact us today to get started. Contact us Source Online survey conducted in June, 2024 among n=1,000 U.S. adults 18+. Sample balanced to look like the general population on key demographics (age, gender, household income, ethnicity, and region). Latest posts
Today, Experian is excited to introduce our Offline Graph as a standalone product that clients can license, marking a significant step in our commitment to powering data-driven advertising through connectivity. Offline Graph empowers advertisers and advertising technology companies to build and refine consumer profiles, contributing to data connectivity, more offline audience reach, and improved offline measurement accuracy. As a result of consumers engaging with content across more channels, there are more disparate data points than ever before. When you couple that with ongoing signal loss, the need for a unified identity solution has never been greater. Experian’s Offline Graph offers companies a license of stable offline data points, like name, address, phone number, email, geographic information, date of birth, and additional attributes that provide a complete view of household and individual identities. The Offline Graph integrates known offline identity information from reliable deterministic sources like property ownership records, public records, and marketing data to provide access to all United States consumers and households. How customers can use the Offline Graph A big box retailer fills in the blanks of their existing customer data and builds a database of prospects. A media platform more effectively onboards advertisers’ segments, enabling advertisers to reach more of their customers. A retail brand better understands their customer’s demographic and behavioral make-up, by licensing Offline Graph with Marketing Attributes. A connected TV (CTV) manufacturer increases audience reach and accurately quantifies the campaign impact for their advertising partners. Experian’s Offline Graph is already driving value across industries. Here’s some in-depth client success stories: Fusion92 licenses Offline Graph to help their clients transform their marketing Fusion92 is a marketing partner that fuels business transformation in today’s digital economy and delivers exponential returns for brands. Fusion92 licenses Experian’s Offline Graph to power their strategy: from research and discovery to audience creation, activation, and measurement. With access to our Offline Graph, Fusion92 ensures their clients get the insights, targeting, reach, and measurement they need to achieve their business goals. "At Fusion92, we are always pushing the envelope to develop solutions that lead to success for our clients. Our desire to innovate pushed us to find an industry-leading partner in data and identity. This led to us licensing Experian’s Offline Graph product, which we use to build more complete audience profiles for our clients. In doing so, we help brands target, activate, and measure their marketing campaigns more effectively, leading to superior results.”dave nugent, executive vice president of data and analytics, fusion92 Using Offline Graph to deliver relevant messaging to multiple audience cohorts A leading direct-to-consumer (DTC) company with strong customer relationships built a robust first-party data set, enabling effective customer retention. To attract new customers, they partnered with Experian to access offline identity data from Experian’s Offline Graph. The Offline Graph provides them with the data needed to validate their first-party data and with the keys to unlock new customers. With this data, the DTC company delivered the right message to both sets of consumers: existing customers and new prospects. By integrating Experian’s Offline Graph they broadened their reach, personalized their messaging, and improved their marketing. What sets Experian’s Offline Graph apart from the competition Stability of data: With data from deterministic sources, our Offline Graph ensures that your view of consumers – and your ability to connect with them – is stable over time. Connected digital and offline data: Seamlessly connect offline data with digital identifiers through our Digital Graph, enabling a holistic approach to marketing, while ensuring consumer privacy is prioritized. Tailor made for your use cases: Build the Offline Graph to fit your specific needs, selecting the exact offline identity information required for your campaigns. Expanded consumer insights: Connect more data points to enrich your understanding of consumer demographics and behavior, using Experian’s Marketing Attributes and Audiences data. Offline Graph: Your gateway to consumer connectivity As signals fade, there is a large emphasis on procuring and having accurate consumer data. Experian’s Offline Graph delivers the connectivity and insights necessary to stay ahead. Whether you aim to strengthen your existing data or access entirely new data sets, Experian’s Offline Graph offers a solution tailored to your needs. Transform your data strategy with Experian’s Offline Graph — your gateway to a unified consumer identity solution. Contact us Latest posts
Ditch the cookie, not the data with the next evolution of contextual targeting Today, we're excited to announce Contextually-Indexed Audiences, a game-changer in contextual targeting. Experian’s new solution offers advertisers a powerful, privacy-safe solution that combines the precision of deterministic audience targeting with the flexibility of contextual targeting. Powered by real-time analysis from two million websites, access to 1,400 trusted audience segments, and easy activation through the top demand-side platform’s contextual marketplace or Audigent private marketplaces (PMPs), this solution offers advertisers a scalable way to reach their target consumers. With this solution, advertisers can reach consumers on websites that over-index for visitors with the demographics, behaviors, or interests, they are looking to target. For example, an automotive brand can select Experian’s “Contextually-indexed in-market for a luxury electric car” audience segment and reach consumers when they are browsing websites that often attract that exact segment. Best of all, this is done in a privacy-safe way since it’s not reliant on cookies, mobile ad IDs (MAIDs) or other user identifiers. How Contextually-Indexed Audiences work Contextually-Indexed Audiences harness advanced machine learning technology to move beyond traditional keyword-based strategies. The solution works in three steps: First, it analyzes traffic from over two million websites and mobile apps to identify the types of frequent visitors to those platforms. Next, using Experian’s Digital Graph, it resolves the identities of those visitors and maps them to more than 1,400 of Experian’s Syndicated Audiences, determining which audiences are most overrepresented on each site. Finally, the relevant audiences are assigned to those sites, allowing advertisers to deliver ads to people in those audiences while they are actively browsing the websites — without relying on user identifiers. Customer success story A leading auto manufacturer was among the first clients to activate this new solution while we were in beta. The goal was to identify new contextual targeting solutions that focus on privacy while maintaining scale and performance. The client identified two key target audiences: first-time vehicle buyers and experienced buyers. The initial campaigns using this new solution were highly successful. Even as the campaign scaled to twice the original volume, it continued to deliver three times the targeted click-through rate (CTR) goal. “Partnering with industry leaders like Experian, we're pushing the boundaries of contextual targeting with innovative data strategies that offer buyers greater flexibility and improved performance. These advanced contextual solutions are exciting as they not only drive results but also have the same privacy safeguards as traditional contextual targeting.”Matt Griffith, CTO & Co-Founder, Audigent Benefits of Contextually-Indexed Audiences Accurate consumer reach: Real-time integrations with over two million websites and apps coupled with machine-learning indexing technology ensure audience segments are constantly refreshed, which means advertisers reach consumers based on their latest habits. Privacy-safe audience targeting: These audiences are not reliant on cookies or any other user identifiers for targeting. Audience customization: Create the right audience segment for your campaign by using a combination of over 1,400 audiences across 12 data categories like demographics, politics, health, travel, finance, and TV. Flexible activation: Activate these audiences instantly in the top demand-side platform’s contextual marketplace or utilize our partnership with Audigent to create a custom private marketplace (PMP), where they can be activated across any media buying platform. When using a PMP, advertisers benefit from additional performance optimization capabilities. Experian’s Contextually-Indexed Audiences offer advertisers a powerful solution that combines the precision of audience targeting with the flexibility of contextual targeting. With real-time analysis of over two million sites and access to 1,400 trusted audience segments, advertisers can reach consumers based on their exact behaviors and interests. This is done in a privacy-safe, yet scalable way since it’s not reliant on cookies or other user identifiers. Whether activating instantly through the top demand-side platform or customizing through Audigent PMPs, this is the future of audience targeting. Ditch the cookie, not the data, and elevate your strategy today. Contact us Latest posts