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
Audigent, a part of Experian, now offers turnkey, outcome-driven deals for brands through Amazon DSP, expanding advertisers’ options for advertising across the open internet. While buyers continue to activate through established supply paths with Amazon DSP, this collaboration introduces sell-side curation that expands data access and reduces overall buyer costs. Three paths to activation With Audigent's curation services now available through Amazon DSP, buyers have streamlined access to premium open-internet inventory and measurable results. Advertisers now have three simple ways to build or tap into curated deals: Off-the-shelf deals in Inventory Hub on Amazon DSP Buyers can access hundreds of pre-built curated deals, each designed to align with common campaign goals and accelerate time to market. Custom deal libraries built around KPIs Advertisers can work directly with Audigent and Amazon Ads to build tailored deal libraries that reflect their unique performance objectives. SimplePMP with AI-driven intelligence Audigent's proprietary AI technology powers its SimplePMP product, offering advertisers sophisticated segment recommendations to identify relevant audiences and inventory with enhanced accuracy. Data that drives performance Turnkey curation only works if the data behind it is immediate, precise, and actionable. With Audigent providing curation via Amazon DSP, each deal fuses premium, real-world signals with hand-picked inventory so every impression can move the needle. How turnkey curation works Here are three ready-made examples to spark ideas 1. Weather in real time When the temperature climbs above 85°F, a beverage brand’s “Hot-Day Hydration” creative can launch automatically. Twenty-four hours before a heavy-rain forecast, big-box retailers can push “Storm-Ready Supplies” for generators and batteries. Weather-triggered audiences from The Weather Company mean you buy only when conditions drive demand. 2. Moments that matter to fans Live Nation ticket-purchase signals that pinpoint two peak travel-booking windows—right after fans secure out-of-town concert or game tickets and again during the week leading up to the event—so airlines, online travel agencies, and hotels can serve timely seat-sale or last-minute lodging offers when intent (and conversion rates) are highest. 3. Intent you can see Bombora B2B signals surface companies researching topics like “zero-trust security” or “cloud cost reduction.” A cybersecurity SaaS can reach those accounts with demo ads, and an office-furniture brand can court firms exploring “hybrid-workspace redesign.” Media spend zeroes in on buyers already in-market. A customer-centric approach Audigent delivers turnkey, customer-centric solutions across the open internet through Amazon DSP, prioritizing quality over quantity through premium web inventory. As buyers and sellers embrace more direct, transparent, and addressable supply paths, this streamlined approach boosts efficiency and drives meaningful outcomes for brands. Interested in trying this new path with Amazon Ads and Audigent? Email: audigent_sales@experian.com. What's next? Audigent is committed to enhancing our curation services available through Amazon DSP. We're focusing on: Expanding our suite of turnkey solutions to address evolving advertiser needs in the open internet space Developing new data-driven insights to further refine audience segmentation and inventory selection Continuously improving our technology to deliver even greater value and efficiency for advertisers As the advertising landscape evolves, Audigent will continue to innovate, ensuring our offerings complement and enhance the capabilities available through Amazon DSP. Ready to cut supply path costs? Connect with us to design your first curated library Latest posts
Marketers aren’t thinking in channels anymore: they’re thinking in audiences. As consumer media habits have scattered across devices, platforms and formats, brands have shifted their focus from managing one channel at a time to delivering a connected experience. That’s the core of omnichannel marketing: meeting people where they are and making each touchpoint feel like part of a larger narrative. However, most brands still encounter the same roadblocks: siloed data, fragmented planning and tools that don’t integrate. And while the industry talks a great deal about omnichannel marketing, few are actually doing it well. The brands that figure it out won’t just reach more people; they’ll improve brand perception while improving the customer journey, achieving better outcomes, and optimizing their media spend more efficiently. Learn more about this trend in our 2025 Digital trends and predictions report. Learn more Why omnichannel is no longer optional Omnichannel marketing has long been a goal, but recent shifts in media and technology now make it a necessity. According to Forrester, 21% of global B2C business and tech professionals identified enhancing omnichannel or cross-channel customer experiences as a top priority for their organization today. Connected TV (CTV) and commerce media networks are emerging as dominant channels, necessitating the coordination of messaging across an expanding ecosystem of streaming, programmatic display, and commerce-driven environments in addition to the multitude of other addressable (and non-addressable) channels. Fortunately, identity solutions continue to evolve, enabling marketers to maintain audience addressability in digital channels even as traditional signals decline and privacy regulations intensify. Consumers expect this kind of cohesion. They don’t see “channels" – they just see a brand. A member of your loyalty program might browse a product online, see the exact item later on their socials, and then receive an email offer. If those messages feel disconnected or out of sync, this will not be a good customer experience, and a brand risks wasting impressions and losing conversions. Omnichannel isn’t about showing up in more places. It’s about showing up with a consistent message. The opportunities inherent in true omnichannel execution Despite the industry’s movement toward omnichannel marketing strategies, there are a few untapped opportunities brands would benefit from pursuing. Break down planning silos to optimize performance Many marketers still plan and measure media in silos: programmatic display, CTV, commerce media, search, social, email, SMS, and each might have their own budgets, strategies, and KPIs. This disjointed approach leads to inconsistent messaging, inefficient spend, and overexposure or underexposure to key audiences. The opportunity? Shift toward integrated media planning and measurement. By aligning teams and KPIs across channels, marketers can optimize frequency, coordinate creative sequencing, and better attribute business outcomes. Breaking down internal silos improves the customer experience and drives more effective performance. With two-thirds of North American CMOs naming siloed data as their biggest obstacle, those who solve it stand to gain a clear advantage. Encourage interoperability to activate audiences consistently Omnichannel success depends on defining an audience once and reaching them everywhere. But in today’s ecosystem, where walled gardens control inventory and many tools remain disjointed, this is easier said than done. Just under a third of marketers say the tools they use don’t work well together. The opportunity? Invest in interoperable systems that give you control over your data and privacy-safe solutions like clean rooms or universal IDs that enable consistent audience activation across platforms. Advocate for a unified identity framework Audience data remains fragmented: commerce media networks control shopper data, TV platforms hold viewership data, and walled gardens provide limited data transparency and determine which data they will share, making it difficult to recognize, reach, and follow the customer journey across digital touchpoints. Without a unified view, campaigns remain disconnected and cross-channel attribution is difficult. The opportunity? Advocate for a centralized, privacy-conscious identity framework that bridges fragmented data sources. This would allow marketers to recognize consumers across platforms and deliver cohesive messaging. Marketers need solutions that enable connected audience activation while respecting privacy requirements and platform-specific constraints. Without this, omnichannel remains an aspiration rather than a reality. Data and identity: The tools you need in your toolkit to make omnichannel work Implementing omnichannel right starts with establishing identity. Brands need a foundation that lets them connect the dots: across data, platforms and channels. Here’s how: Build a unified identity foundation “A single view of the customer is the foundation of a successful omnichannel program,” says Forrester in a December 2023 report on omnichannel. This begins by connecting disparate data sources, including persistent offline information, such as addresses, emails, names, and phone numbers, with digital signals, in a privacy compliant way. And this, in turn, creates a strong identity foundation. Solutions that integrate hashed email addresses (HEMs), mobile ad IDs (MAIDs), IP addresses, CTV IDs, and universal IDs enable brands to resolve customer identities across different platforms, ensuring that campaigns remain addressable as users transition between channels. Activate audiences everywhere, without the hassle Brands should be able to define an audience once and activate it across all addressable channels without unnecessary complexity. Interoperability between demand-side platforms (DSPs), supply-side platforms (SSPs), clean rooms, and private marketplaces (PMPs) ensures that high-quality audiences are matched with premium inventory in a targeted, transparent, and efficient manner. This connectivity helps maintain consistent audience targeting—even as consumers engage in different environments. By working with a partner that seamlessly integrates with major platforms, marketers ensure that data quality and identity resolution remain intact throughout campaigns, avoiding data loss that occurs when data is transferred between different, disparate platforms. Measure across channels, and the customer journey Effective omnichannel marketing isn’t just about reaching audiences—it’s about understanding how different touchpoints contribute to conversions. Advanced attribution models, incrementality testing, and cross-platform frequency management enable brands to use consistent identity across campaign planning, activation and measurement so they connect ad exposures to real-world outcomes. Achieving this requires a strong identity resolution partner—one that can unify audience data across environments and power accurate, privacy-compliant measurement at scale. The future of omnichannel marketing Omnichannel is becoming the baseline expectation for modern marketing. The brands that figure out how to connect the dots across the increasingly disparate media landscape will drive better performance and build stronger customer relationships. By working with a partner that can offer you an end-to-end data and identity solution focused on consumers, not channels, you can better understand your best customers (and your next customers), reach them across channels, and measure cross-channel campaigns more effectively, making true omnichannel execution more achievable. Get started today About the author Kimberley Klevstad Account Director, Retail, Experian Kimberley Klevstad is 25-year industry veteran with a wide range of experience driving strategic growth for global accounts across print, online, mobile, location-based and streaming audio platforms. Kimberley is currently a member of the Experian Marketing Services Retail team, advising top retail brands on data and identity strategies that will deepen loyalty and drive acquisition in an increasingly competitive landscape. Latest posts
Audigent, a part of Experian, is excited to announce that curated audience and contextual inventory packages are now accessible on Google Display and Video 360 (DV360), delivered via Index Marketplaces. These premium deals offer industry-leading targeting solutions, combining high-quality data and inventory to enhance scale, value, and performance across connected TV (CTV), display, and online video (OLV). The integration launches with over 250 ready-to-run deals covering various sectors, including some available for DV360 buyers for the first time, such as automotive, B2B, seasonal retail, sports fandom, travel, and weather, among others. Each deal combines exclusive audience data with premium inventory under a single DV360 deal ID. The supply-side activation lets you scale campaigns without cookies or device IDs, so results stay consistent even as traditional tracking disappears. "We’re excited to expand Audigent’s curated, data-enriched packages in DV360 with Index Exchange. Putting Experian’s audiences and Audigent's premium supply inside a single deal ID accelerates smarter decisions for marketers—letting brands activate, test, and see results right away.”Chris Feo, Chief Business Officer, Experian Why these packages stand out Unique targeting and supply packages Each package fuses exclusive data with handpicked inventory and ships as a single, ready-to-trade deal ID. Deep partner bench Audiences are sourced from first-party publisher data as well as data leaders such as Experian, Affinity Answers, Acxiom, Bombora, Circana, Dun & Bradstreet, Resonate, Sports Innovation Lab, The Weather Company, and more, providing buyers with deterministic purchase, intent, behavioral, and lifestyle signals in one flight. Future-proofed addressability Packages rely on Audigent’s identity framework, contextual intelligence, and supply-side data activation rather than third-party cookies or device IDs, keeping reach intact as identifiers fade. Three reasons these packages drive results Signal-agnostic reach: Cookieless, device-less targeting preserves scale today and tomorrow. Instant activation: Traders simply add the pre-curated deal ID to a DV360 line item and go live in seconds. Built-in quality assurance: Exclusive audience data is paired with hand-vetted inventory, so you start closer to KPIs from day one. Direct-to-source media buying that pays off By packaging curated, data-enriched deals directly atop Index Exchange, via the Index Marketplaces platform, Audigent eliminates extra hops and integrates premium partner data into a single price, with no additional data management platform (DMP) fees. That means higher match rates, simplified audience management, and a cleaner, greener path that concentrates spend on top-tier publishers. Paired with Index Exchange’s omnichannel reach, brands see stronger performance and lower waste, no trade-offs required. "Our goal with Index Marketplaces is to streamline access to premium supply, high-quality data, and measurable outcomes. Hosting Audigent's ready-to-run deals on Index lets DV360 buyers tap addressable inventory curated for scale, sustainability, and speed – no extra steps, just better results."Paul Zovighian, Vice President of Marketplaces, Index Exchange Real-world use cases Audigent’s deep data collaboration bench isn’t window dressing; it’s baked into every package. Deterministic signals from Experian and fellow data leaders come pre-loaded, so you tap high-intent, high-match audiences the instant you activate a deal ID. In-market auto shoppers Reach consumers actively researching specific vehicle types, such as compact cars, SUVs, trucks, or luxury models, using deterministic data from Experian. These segments predict purchase intent within the next 180 days, enabling the delivery of accurate messaging at the moment of consideration. B2B account growth Target decision-maker employees at companies segmented by employee count: 11–50, 51–250, or 251+, using Dun & Bradstreet’s data. Or reach small business professionals and business decision-makers via deals utilizing Bombora’s data assets. Sports fandom Engage verified MLB fans based on purchase behavior, powered by Sports Innovation Lab. Extend reach to contextual sports content, including live sports and sports-related programming across CTV and OLV. Seasonal retail bursts Engage gift-givers and in-market segments for gifts and occasions. Target DIY home improvers and verified affinity audiences for home projects. Reach back-to-school families by targeting parents preparing for the school year with Affinity Answers’ event-based segments. Weather-driven behavior Activate campaigns based on how real-time or forecasted weather conditions (like sunny days, outdoor activity suitability, or severe weather alerts) influence mindsets and decisions, powered by The Weather Company's data. "This collaboration integrates The Weather Company’s industry‑leading weather forecast data into DV360, the world’s largest buying platform, enabling real‑time relevance through curated deals. Experian contributes deep expertise in consumer audiences, The Weather Company delivers unmatched precision in timing and location, and Index Exchange adds efficiency and transparency – together creating a streamlined, turnkey solution for activation." Dave Olesnevich, VP of Data and Ad Product, The Weather Company Ready to activate? Search Audigent in DV360’s Marketplace, select the Audigent package that fits your KPIs, and add the deal ID to your line item. Prefer a custom build? Reach out to us at partnershipsales@experian to curate a package tailored to your campaign goals. The quickest path to performance is just one deal ID away. Contact us now Latest posts