At A Glance
Real-time data enrichment (RTDE) helps programmatic campaigns use fresh bid-time signals when ad placement decisions are made. This article explains how RTDE works, why signal freshness matters for agentic media buying, and how Experian help marketers connect identity, audience packaging, curation, and measurement.Programmatic needs decisions grounded in trusted signals available at the moment a bid is made. As campaigns lean further into automation and agentic media buying, real-time data enrichment (RTDE) gives marketers a way to compute derived, bid-time signals during the ad placement process. That can cut latency, reduce unnecessary data movement, and keep media decisions tied to current conditions rather than delayed inputs.
This matters as identity, data collaboration, and measurement become core marketing infrastructure. Marketers need signals they can trust, partners that work across the ecosystem, and enough flexibility to keep control as buying systems become more automated.
How does RTDE work in programmatic advertising?
In programmatic advertising, RTDE works by computing useful signals inside the auction path before a bid is placed. The goal is to give bidding systems more current inputs without moving raw data through a long chain of vendors.
When a bid request fires, RTDE computes derived signals, such as validated identity attributes, cohort scores, or context flags, inside the auction window and passes those signals to the bidder. Instead of sending raw data through a long chain of vendors and hoping it is still useful by the time it’s used, RTDE runs closer to the supply-side source and sends the output needed for the bid.
That gives you a more current view of what’s happening in market, from regional demand shifts, to seasonal patterns, to live inventory changes. It can make first-party activation more responsive and keep programmatic decisions closer to the moment media is bought.
For brands, agencies, publishers, and platforms, this creates a more flexible way to use data across partners without sending raw inputs through every step of the workflow.
How does RTDE improve programmatic performance?
RTDE improves programmatic performance by helping close gaps between available data and the bid-time decision. It gives campaigns signals that are current, consistent, and usable across auctions. These gains can help put budget against impressions with a stronger basis for action, which matters most in categories where timing and relevance shape performance.
It can also give teams a clearer way to connect data quality, identity, and measurement decisions across different activation paths.
RTDE improves programmatic performance by focusing on:
Why does signal freshness matter in agentic buying?
Signal freshness matters in agentic buying since software agents make autonomous decisions in real time. Without fresh, accurate signals, these agents risk acting on outdated or incomplete information. As AI takes on more campaign decisions, the quality of the consumer data, identity layer, and governance behind those decisions becomes even more important.
Outdated signals can lead to missed opportunities, such as failing to capitalize on sudden spikes in demand or changes in consumer behavior. Fresh signals ensure that campaigns remain agile and responsive, even in fast-changing market conditions.
Signal freshness is critical because it ensures:
What makes Experian a trusted partner in RTDE?
Experian is a trusted partner in RTDE because we bring together independent identity, audience data, broad media partner integrations, and governance. That combination enables marketers to use bid-time enrichment responsibly and connect programmatic decisions to measurable outcomes.
We work across the advertising ecosystem, not inside one closed environment. That independence helps marketers maintain choice across agencies, platforms, publishers, commerce media networks, clean rooms, and measurement partners.
Our identity solutions help you build a flexible foundation for programmatic advertising across planning activation, curation, and measurement. With access to over 5,000 behavioral, demographic, and lifestyle attributes, we ensure a richer understanding of audiences.
We prioritize data governance and security, handling sensitive information responsibly to maintain privacy-forward solutions.Integrations with over 200 media partners make it easy to activate addressable audiences and improve campaign performance. We’re focused on making enrichment more immediate and usable at bidding time through timely, trustworthy, and governable signals.
That combination matters as AI agents and marketing systems rely on consumer data to make faster decisions. The stronger the identity, governance, and data stewardship behind those systems, the more confidence teams can have in how decisions are made.
Experian helps marketers build actionable programmatic strategies
We can help you build actionable programmatic strategies by connecting identity, audience packaging, curation, and measurement into one cohesive foundation. This foundation makes ad placements easier to execute and measure, while reducing friction between planning and activation. We can help you build audience packages and curated deals that align with your campaign goals. This gives marketers a flexible identity foundation that can adapt as partner needs, channel plans, and data collaboration models change.
You can activate addressable audiences across advanced TV, social, and programmatic platforms, then measure how campaigns connect to consumer behavior and real-world outcomes. Our capabilities give teams a clearer path from planning to activation to measurement.
A strong RTDE strategy connects activation with governance, measurement, and transparency, giving teams a clearer view of how audiences are built, where they’re used, and how outcomes are evaluated.
Get started with real-time data enrichment
Real-time data enrichment signals are only valuable when they can be used at the moment decisions are made. We bring timely, trustworthy signals into the programmatic workflow so your campaigns can respond to current conditions.
As the market changes, marketers need identity and data partners that protect control, preserve choice, and make trusted data usable across the full programmatic workflow.
Connect with us to discuss how real-time data enrichment can support your programmatic strategy.
Contact us
About the author
Matthew Griffiths
SVP of Technology, Audigent, a part of Experian
Matthew Griffiths is a seasoned technology entrepreneur and a driving force in advertising technology, data technology, and AI. As the Co-Founder and former CTO (now SVP of Technology) at Audigent, a part of Experian, he plays a pivotal role in shaping the company’s cutting-edge solutions for data activation, curation, and identity management.
With years of executive experience across the U.S., Africa, and the U.K., Matthew has a proven track record of leadership in steering the adoption and use of cutting-edge technologies to drive business outcomes. His expertise spans from collaborating with top global corporations and governments to spearheading award-winning technology projects that deliver life-changing impacts in some of the world’s most underserved communities.
Matthew’s dynamic approach to solving complex business and technology challenges makes him a visionary leader in the AdTech space, consistently driving innovation and performance through technology.
FAQs
Real-time data enrichment is the process of computing derived signals during the bid request process, before an ad placement decision is made. In programmatic advertising, it helps bidding systems use current signals, such as identity attributes, cohort scores or context flags, instead of relying only on delayed inputs.
Real-time data enrichment helps media buyers make bid decisions with fresher, more consistent signals. That can improve how campaigns respond to demand shifts, seasonal patterns, inventory changes, and conversion behavior.
Real-time data enrichment matters for agentic media buying since autonomous agents need current, reliable signals to make sound decisions. If the signals are stale or incomplete, agents can miss changes in demand, inventory, or audience behavior that affect campaign outcomes.
Experian’s identity foundation helps marketers resolve and validate the signals that support real-time data enrichment. Experian’s data, privacy-forward approach, and integrations with more than 200 media partners help marketers activate addressable audiences and connect programmatic decisions to measurable outcomes.
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