At A Glance
First-party data creates value when marketers activate it. In 2026, leading brands will move beyond data collection by connecting, enriching, and activating their first-party data across channels. With identity as the foundation, first-party data activation improves relevance, efficiency, and measurement. Experian helps marketers turn static records into scalable audiences that perform across media.Why does activation expand the value of first-party data?
First-party data already delivers value through insight, personalization, and owned-channel engagement. In 2026, marketers expand that value by activating first-party data across owned and paid media channels. Activation is how existing data investments scale beyond CRM into broader audience strategies.
Simply capturing customer data used to feel like a win. Building a CRM, capturing emails, and logging transactions delivered valuable insights and fueled owned channels like email and direct mail. But that was largely where activation stopped.
In 2026, that mindset is no longer enough. Owning first-party data is now just the starting point. The real advantage comes from what marketers do next. Safely turning static records into addressable, scalable audiences is where first-party data can continue to prove its value.
How are marketers shifting from data collection to data connection?
As signals fragment, marketers are shifting from data collection to data connection to make first-party data usable across channels. Experian supports this shift by helping marketers onboard and resolve their data into a clean, connected foundation using our identity graphs. Connecting offline and online interactions allows brands to unify customer data across touchpoints to make it actionable. That connection enables more use cases, from audience activation and measurement to personalization and cross-channel optimization.
Most brands recognize the value of their own data. Fewer have the infrastructure to make it work across the media ecosystem. Data often sits in silos, disconnected from activation platforms, analytics, and measurement. Without the ability to unify, enrich, and deploy that data, first-party data remains underutilized.
In 2026, leading marketers are closing that gap by turning first-party data into audiences they can reach across owned and paid channels, bringing consistency to targeting and measurement. That same connectivity also enables better suppression, allowing brands to avoid targeting existing customers in prospecting campaigns. For consumers, this reduces irrelevant and repetitive ads. For marketers, it improves efficiency and protects the customer experience.
With Experian’s identity foundation in place, first-party data becomes usable across the media ecosystem. Marketers can enrich their first-party data with behavioral, demographic, and lifestyle insights, combined with trusted partner data, and activated across channels like social, programmatic, and TV, from a single environment.
Why is first-party data becoming central to media planning?
First-party data has become central to media planning because it gives marketers control, consistency, and continuity across channels. As media environments fragment, first-party data provides a stable signal that supports activation, personalization, and measurement at scale.
Rather than relying on any single data source, marketers are increasingly combining their own first-party data with trusted third-party and partner data to extend reach, improve relevance, and fill gaps in their own insights. Doing so effectively requires deterministic matching, privacy-first infrastructure, and partners that can support both owned and syndicated data at scale.
This approach allows brands to maintain control over their customer relationships while continuing to utilize third-party data for prospecting, modeling, and performance optimization across channels. As a result, first-party data activation is now central to how media strategies are planned and executed.
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.
What business impact does first-party data activation deliver?
First-party data activation delivers measurable business impact, including:
- 70% of B2B marketers plan to increase their use of first-party data, more than any other data strategy.
- 67% percent of brands and 80% of publishers expect to grow their first-party data sets in the next year.
- The payoff is tangible. Activating first-party data can reduce customer acquisition costs by up to 50% and drive a 10-15% lift in revenue.
Activation drives efficiency. Brands that put their own data to work see lower acquisition costs and stronger revenue lift. These gains come from relevance. When marketers activate audiences built from known customer relationships, they reduce waste and optimize toward outcomes that matter.
Experian’s Audience Engine supports this model at scale. Audience Engine helps marketers onboard and activate first-party data through a single unified platform. It connects more than 3,500 syndicated audiences, over 50 media platforms, and 20+ third-party data providers. Marketers can combine, gain insights from, and deploy first-party data quickly.
What should marketers plan for first-party data activation in 2026?
In 2026, marketers should plan for first-party data to operate across onboarding, activation, and measurement as a connected workflow. Planning now centers on interoperability, scalable activation tools, and privacy-forward enrichment rather than isolated data use cases. Identity underpins each of these three shifts.
Why first-party data activation matters to marketers in 2026
In 2026, first-party data delivers value when marketers activate it across channels. The opportunity is to extend the value of what already exists through activation, enrichment, and identity-led connection across channels. That means uncovering insights within your existing customer base, building lookalikes from your highest-value audiences, and activating those segments across every channel.
With Experian’s Audience Engine, marketers can onboard, enrich, and activate their first-party data in one secure, interoperable platform. Identity connects to outcomes. Performance becomes measurable. Privacy stays at the core.
To explore this trend and the others shaping marketing in 2026, download our 2026 Digital trends and predictions report.
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About the authors
Doug McLennan
Sr. Director, Product Management, Experian
Doug McLennan is the Senior Director of Product Management at Experian Marketing Services where he is focused on product strategy for activation. His past work includes managing syndicated audiences at Oracle Data Cloud and building personalized video ad products at an agency. Doug lives in Colorado and skis as much as his family will allow.
Rachael Weinstein
Director of Product Management, Experian
Rachael Weinstein is the Director of Product Management at Experian Marketing Services where she is focused on product strategy. Previously, she held product roles in advanced TV at WarnerMedia and worked in analytics across multiple startups.
First-party data activation FAQs
First-party data activation means using a brand’s own customer data to build addressable audiences across paid and owned channels. Experian’s identity spine connects, enriches, and activates that first-party data consistently while preserving control and privacy.
First-party data needs identity to connect customer records across devices, platforms, and environments into a unified view. Experian identity resolution makes it possible to activate, measure, and manage frequency consistently across paid and owned media.
First-party data activation improves efficiency by reducing waste and increasing relevance. Marketers focus spend on known and modeled audiences, suppress existing customers in prospecting, and optimize toward outcomes rather than impressions.
Experian supports first-party data activation by resolving, enriching, and activating customer data using identity as the foundation. Through Audience Engine, Experian enables onboarding, audience creation, cross-channel activation, and measurement within one environment.
Latest posts
In our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula's data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula's data quality, underscoring its position as a leader in the industry. Webbula's data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts