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.
2026 Digital trends and predictions report
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
Experian Marketing Services and Data Quality President Genevieve Juillard recently sat down with Zach Rodgers, host of the AdExchanger Talks podcast to discuss the future of identity, the importance of data transparency and privacy, and our recent acquisition of Tapad. Genevieve focused on the opportunity for our industry to reimagine an advertising ecosystem that is resilient and adaptable; one that takes advantage of emerging data and prioritizes data transparency and consumer privacy. She also discussed the importance of advertising strategies that put consumers at the heart of every decision and give them more control over their data. Genevieve shared with AdExchanger that Experian’s acquisition of Tapad, a global leader in digital identity resolution, was a natural fit for our company. Tapad’s approach and role in the ecosystem is very much aligned with Experian’s, which is to develop solutions that are resilient to industry and consumer changes. The combination of our capabilities supports interoperability across all types of identifiers, both online and offline, and will position us to help our clients navigate the post-third-party cookie world. To learn more about Experian’s plans to support an effective advertising ecosystem that will evolve with our dynamic industry, listen to the full podcast Embracing ‘Healthy Fragmentation’ In Ad Tech, With Genevieve Juillard. Get in touch
It’s been over a year since Google announced they’d be deprecating the third-party cookie and in that time there’s been a major focus on two types of cookieless identity solutions. Identity vendors and marketers are strategizing which of these two future solutions best fits their needs so they can achieve privacy-safe scale once third-party cookies are no longer available for use on Chrome. Let’s break down these solutions and the considerations marketers need to take into account when deciding what partners to move forward with in the future of identity resolution. Authenticated Traffic Solutions Authenticated traffic solutions (ATS) are a type of digital identification that asks the end-user to identify themselves via personal information, most commonly email address. Often, you’ll see self-authentication at the point of entry to a website that asks you to create an account or login immediately to access the content you are seeking. E-commerce sites use authentication to keep track of consumer purchases and inform advertising decisions for that customer; and publishers use it to tailor featured content, or, more importantly for this discussion, leverage it within the ad ecosystem for targeting. While authentication can provide very valuable user data for audience segmenting and targeting, it can be limited in scale for a single publisher to leverage and monetize on their own. That’s why some identity vendors have worked to integrate themselves within as many publisher authentication modules as possible, so that they can create an aggregate of scale for the ad ecosystem to tap into. But, even this isn’t going to deliver the reach marketers truly thirst for. Alternatively, Facebook has the scale for authenticated traffic, but they keep their data inside a walled garden, so the utility of those authenticated users is only valuable within the Facebook ecosystem. So how can authenticated traffic solutions increase scale to broaden the scope of identifiers they can collect and leverage? Hint: a few of the biggest players have already figured it out. It’s the single sign-on. Google is probably the largest purveyor of a single-sign on solution that can directly impact advertising capabilities. Can you think of a site you visit that doesn’t offer a sign-in with your existing Google account? It’s a short list. Google has integrated themselves into so many applications and publishers that “Login with Gmail” is just second nature (you pictured the Gmail logo when you read that, didn’t you?). Now, if you’re about to purchase something you found off an Instagram ad, or perhaps a retailer you buy from regularly, you’ve probably noticed options to proceed with your checkout via “Amazon pay” or “Apple pay”. These are also single-sign ons. You’re authenticating yourself through Amazon or Apple to that retailer in exchange for A- the safety and security that Amazon or Apple provide for your financial information and B- skipping the annoying process of manually entering personal information over and over again at point of sale. It’s starting to sound like there’s a lot of authenticated data out there isn’t it? Well, that’s true, but again, Amazon and Apple are walled gardens. Amazon is working diligently to build out their own ecosystem to leverage their content and retail channel data for a holistic offering. And Apple keeps user data very close to the chest, constantly limiting its utility for themselves and advertisers. So what is identity resolution doing about it? The Trade Desk announced their solution; Unified ID 2.0, which promises to leverage email authenticated identity for a truly scaled solution for publishers via Javascript through Prebid. By handing over UID2.0 to an independent unbiased organization like Prebid, The Trade Desk is creating instant scale and trust in their solution. Unauthenticated Traffic Solutions Unlike ATS, unauthenticated traffic solutions do not rely on a log-in to identify a user, but they also don’t rely on third-party cookies. Instead, unauthenticated solutions (UATS) leverage their existing streams of real-time data through Javascript on publisher sites or an SDK (software development kit used by apps). The type of information UATS solutions can collect via Javascript or SDK vary, but it can include IP address, user agent and device level info. But being able to read this information at the point of entry to a website does not make a quality identifier. The best unauthenticated solutions will have the ability to set or ingest this information into a unique ID through an infrastructure with incredibly fast speed that can process trillions of anonymous data signals across multiple channels and devices. And even more so, be able to interpret those signals into a profile using machine learning– all at the moment a user enters a domain. It sounds complicated because it is, but it also has a lot of potential. The identity space cannot rest solely on authenticated traffic solutions, because, as you can see, it could limit ownership and operability to just a few power players/walled gardens. This doesn’t help the larger ecosystem monetize and personalize ad inventory. The right unauthenticated solution, however, can unify cross-device individuals and households at scale, because they’re integrated on the broadest number of publishers/SDKs across platforms, have the best algorithms to build confident connections between identifiers, and are universally transactable across the most common sell and demand side platforms. Think of it as the perfect partner- speaking a common language that everyone in the ecosystem understands and acts on. Today more than twenty cookieless identifiers are available in market for the ad ecosystem, and Google hasn’t even announced a date of deprecation. It’s important to be on the lookout for differentiators like scale and precision. Most importantly, choosing a truly cross-device partner will be key, especially as more digital devices and IDs grow in adoption, like CTV has this past year. Taking advantage of both What we will come to find, once the third-party cookie is obsolete, is that choosing just one of these solution types, or partners, will be a disadvantage. The more the industry comes together to collaborate on solutions, the more apparent it is that both of them have value, and thus employing both solutions will give marketers the best opportunities. Tapad, now part of Experian, recently announced the launch of Switchboard; a module within our identity solution; The Tapad Graph, to create this agnostic interoperability for identifiers of all types, and choice and control for the ad tech vendors and marketers who want them. By instantly creating the ability to partner with multiple solutions, Tapad + Experian is ensuring that all use cases for the third-party cookie live on in our cookieless future. Get in touch
Tapad launches global privacy-safe solution to provide continuity in the absence of third-party cookies Switchboard, a module within The Tapad Graph, will connect emerging cookieless identifiers to traditional IDs, creating a more holistic view of the consumer and driving value exchange within the advertising ecosystem Tapad, part of Experian, a global leader in cross-device digital identity resolution, and a part of Experian, announced today the launch of Switchboard, a first-of-its-kind solution to help navigate the evolving cookieless landscape. Switchboard, a module within The Tapad Graph, will operate as a global, privacy-safe solution to provide continuity in the absence of third-party cookies by connecting new cookieless identifiers to traditional digital IDs for a comprehensive view of consumers and their digital touchpoints. Switchboard will enable interoperability across the growing number of these digital identifiers and the value exchange between publishers, content creators and consumers. Leading digital identity solutions partnering with Tapad, part of Experian at the launch of Switchboard include Unified ID 2.0, ID5, Lotame Panorama ID, BritePool, Retargetly IDx and Audigent Halo ID. Tapad, part of Experian plans to expand support to additional identity solutions on an ongoing basis. In addition to these identity solutions, early partners across the ecosystem include The Trade Desk, Amobee, Martin, ShareThis, Eyeota and Catalina. “This diverse group of launch partners and testing customers will prove that Switchboard is an important tenet for the future of identity resolution. We’re excited to be proactive in our approach to give marketers time to adapt new solutions and test their function in tandem with the third-party cookie, while continuing to give our customers flexibility and control,” said Mark Connon, General Manager of Tapad, part of Experian. “Facilitating access and usage of 1st party identifiers is crucial to help marketers prepare for the cookieless future. Thanks to Switchboard, ID5's cookieless IDs will be available to a wider audience of brands and agencies and enable them to run effective, data-driven campaigns beyond the third-party cookie,” said Mathieu Roche Co-founder & CEO of ID5. Switchboard provides value across the marketing and advertising ecosystem as the need for the ability to support multiple cookieless ID’s across ad tech increases throughout 2021. With a decade of expertise creating digital identity resolution products, Tapad, part of Experian is poised to solve this challenge through innovation and quality, privacy-safe data-driven solutions. “Interoperability is paramount for brand marketers, agencies, publishers and platforms if we want to support an open and free Internet and break free of the stranglehold of walled gardens,” said Pierre Diennet, Global Partnerships at Lotame. ”Lotame Panorama ID’s participation in Switchboard reflects our steadfast commitment to collaborating across and within the industry and providing value to all of its players.” “As advertisers continue to contemplate the future of identity, Amobee is proud to partner with Tapad, part of Experian on this next-generation solution to provide a comprehensive view of consumers,” says Bryan Everett, Senior Vice President of Global Business Development at Amobee. “With the imminent loss of cookies, advertisers must think creatively in order to respectfully engage consumers in a privacy-compliant way and Switchboard can play an important role in addressing their respective identity needs.” Tapad, part of Experian is welcoming identity solutions and Tapad Graph customer participation in Switchboard throughout 2021. Stayed tuned for more updates and information on Switchboard in the coming months. Get in touch