
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.
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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 Allison Dewey (Director, Data & Curation) at 33Across. Navigating complexity in digital advertising Digital advertising is more fragmented and privacy-constrained than ever. How is 33Across helping marketers cut through that complexity to drive real outcomes, and what makes your approach distinct? Reaching audiences without compromising scale or performance is one of the toughest challenges for marketers. Users consume content across multiple devices and channels, making it difficult for marketers to identify and accurately target them with the right message. 33Across segments leverage AI-powered contextual and behavioral signals across privacy-safe environments to help marketers accurately identify audiences, whether they’re streaming content on their connected TV or researching products on their mobile device. What sets us apart is that we don’t just identify valuable audiences; we help marketers also target cookieless inventory and power it with real-time signals. Marketplace integration milestones What excites you most about bringing 33Across audiences into Experian’s data marketplace? We’re excited to bring 33Across audiences into Experian’s data marketplace because it connects our unique segments with a powerful data ecosystem that marketers already trust. Buyers looking to activate audiences that are both privacy-safe and performant continue to tap into the Experian data marketplace for high-quality, high-performing data. We offer a wide range of audience verticals, including B2B, demographic, retail purchase data, interest and intent, and political data. In addition, we offer the ability to create custom segments across verticals. Our intent-based audiences, built from contextual and engagement signals, help buyers reach consumers on CTV, desktop, or mobile devices with scale. Being part of Experian’s data marketplace accelerates access to these audiences, drives better ROI, and helps brands future-proof their strategies today. Retail demand signals Retail brands are racing toward privacy-safe, first-party data. Which 33Across retail datasets or segments are experiencing the highest demand, and what makes them a must-have? Retail marketers are leaning into contextual and behavioral intent signals to complement their first-party data strategies. At 33Across, we’re seeing high demand for segments tied to shopping intent, including in-market consumers browsing for categories like fashion, home goods, electronics, and health & wellness. What makes these segments essential is their real-time nature – they can capture consumer interest as it happens. For retail brands looking to expand their reach while respecting privacy, our segments offer scalable, actionable intent that drives results. B2B without cookies Reaching real B2B decision-makers at scale is tough with or without signals. How does 33Across deliver both precision and reach in this environment? B2B marketing often struggles with balancing scale and specificity. 33Across addresses this by combining contextual precision with AI-modeled behavioral signals; this segment approach reaches professionals actively engaging with relevant content and topics, even in environments where IDs are unavailable. Marketers gain access to more signals and, in turn, better reach from 33Across’ unique publisher integrations and audience curation built from machine learning and AI. We surface intent through content consumption patterns and contextual engagement, unlocking valuable, privacy-safe signals at scale. Allowing B2B marketers to reach real decision-makers in a signal-sparse world. Use cases With retail, B2B, and beyond, can you share an example of how brands in these verticals are utilizing your audiences? Top brands that have a user-focused approach use 33Across audiences to drive scale; performance. These brands enable our segments to precisely reach the right users across devices and increase conversion rates; brand awareness. By reaching the right users, brands have higher conversion rates and increase campaign efficiency. Supply path innovation As identifiers disappear, advertisers are looking for scalable, privacy-safe ways to reach real people. How is 33Across helping unlock more addressable inventory and drive performance? By combining contextual, semantic, and engagement-based signals, we deliver intent-based targeting that performs across CTV, display and video. Higher addressability helps marketers not only extend their reach but also deliver personalized messaging across digital channels in a privacy-compliant way. Contact us FAQs How can advertisers reach audiences without traditional identifiers? By using contextual and engagement-based signals, advertisers can target consumers across CTV, mobile, and desktop in a privacy compliant way, even as identifiers become less available. What audience segments are most in demand for retail marketers? Segments tied to shopping intent, such as consumers browsing fashion, electronics, or health products, are highly sought after because they capture real time interest and drive results. How can B2B marketers find decision-makers without cookies? Combining content engagement patterns with machine learning allows marketers to reach professionals actively engaging with relevant topics, even in environments where IDs are unavailable. What makes privacy safe audience targeting effective? Privacy safe targeting uses real time contextual and behavioral signals to deliver relevant messaging across devices and channels without compromising consumer trust. How can real-time intent signals drive demand? Real time intent signals allow advertisers to capture consumer interest as it happens, helping demand side platforms and brands deliver timely, relevant ads that increase engagement and drive conversions across devices like CTV, mobile, and desktop. About our expert Allison Dewey, Director of Data and Curation, 33Across Allison Dewey is the Director of Data & Curation at 33Across, where she oversees data partnerships, integrations, and supply-side curation. With a deep expertise in audience targeting and signal optimization, Allison plays a key role in connecting data into the programmatic world. Allison holds a Bachelor's degree in Psychology from Bates College. About 33Across Rooted in over 15 years of data expertise, 33Across harnesses signals to enrich and expand marketers’ audiences and reach them wherever they consume content. Built from over 300 billion proprietary data signals, we apply machine learning and AI to create over 1,500 B2C and B2B segments using privacy-first principles to reach audiences. Latest posts

Originally appeared in Adweek This holiday advertising season, identity is the real differentiator Marketers are betting big on AI to run their holiday advertising, using it to build predictive audiences, generate creative at scale, and optimize media buys in real time. The draw is clear: greater efficiency, delivered at scale. But here’s the problem: without a solid identity foundation, AI is just guessing. And in a year when consumers are cautious and competition is fierce, guesses won’t deliver the outcomes you need. Experian’s 2025 Holiday spending trends and insights report shows that success this season will depend on connecting the right data to the right audiences in real time. Download the report now Are shoppers really using AI to make holiday purchases? Not yet. Only 12% of consumers plan to use AI tools to shop this season, mostly for finding discounts. Instead, trusted influences (like retailer websites, product reviews, and recommendations) still guide buying decisions. For marketers, that’s a signal to focus on credibility and connection. AI can support your holiday advertising strategy, but trust still wins the sale. Consumer sentiment heading into the holidays is low, but that could mislead marketers Here's why How marketers are really using AI in holiday advertising Behind the scenes, AI is working overtime. Teams use it to segment audiences, test creative, and optimize media in real time. These capabilities are powerful, but only if they’re grounded in accurate, persistent data. Think about the typical holiday shopper. They may browse a product online, validate it in store, and finally purchase days later from a different device than they used while browsing. If AI isn’t anchored in identity, it struggles to connect those touchpoints. Instead of amplifying relevance, it amplifies noise. See our predictions for Black Friday 2025 Why identity is the GPS for AI-driven holiday advertising Identity is what turns AI from a blunt instrument into an accurate tool. By unifying fragmented signals across channels and devices, identity provides the consistent consumer view that AI needs to be effective. With that foundation, AI can do more than churn out models. Instead, it can: Identify the right audiences and filter out waste Personalize with context, not just scale Measure real outcomes, linking exposures to visits and purchases Identity doesn’t just improve efficiency; it creates accountability. And in a season where every holiday advertising campaign dollar is scrutinized, accountability is the difference between investment and waste. Why connected data will make or break Cyber Week How to turn complexity into clarity this holiday season This year's holiday advertising season is complicated. Marketers are confident, consumers are cautious, and AI is somewhere in the middle. The challenge isn’t just speed or volume, it’s accuracy. By pairing AI with identity, you can adapt to real behavior instead of assumptions. You can build campaigns that are consistent across connected TV, retail media, and social platforms. And you can prove results when it matters most. AI isn’t a holiday miracle. But when it’s powered by identity, it can give you clarity in a noisy season and proof of performance when budgets are under scrutiny. Explore Experian's holiday audiences to activate this season What’s the real takeaway for marketers this season? Don’t assume AI alone will save your holiday advertising strategy. It won’t. Consumers still trust human voices more than machines, and your AI models are only as strong as the data beneath them. Identity is the difference between guesswork and accuracy, between activity and impact. This holiday season, the winners won’t be the brands that simply spend more or automate faster. They’ll be the ones that put identity at the core of their AI strategy and meet consumers where they really are. Download Experian’s 2025 Holiday spending trends and insights report to see where consumers are spending and how identity can help your holiday advertising campaigns more effective. Download now FAQs Why isn’t AI enough on its own for holiday advertising? AI works best when it’s grounded in accurate data. Without identity, it can’t connect actions across devices or channels, which limits its effectiveness. How does identity improve AI-driven campaigns? Identity creates a single, persistent view of your audience. That means AI can personalize content, measure conversions, and cut waste with far greater accuracy. What does “identity” mean in marketing terms? It’s the data layer that connects people across their devices, browsers, and behaviors—so your campaigns reach real individuals. How can marketers prove ROI in holiday advertising? By tying exposure to verified outcomes—like store visits or purchases—using identity-linked data. That’s how Experian helps brands move from impressions to impact. Latest posts

What challenge did the pet brand face? A national e-commerce pet supplier wanted to expand into audio advertising to diversify beyond display campaigns. But with only one team member available to test this new channel, they faced three hurdles: Prove performance in a new channel Run lean with limited bandwidth Show purchase intent, engaged site visits, and completion rates fast They needed a partner to handle execution and supply optimization so their lean team could focus on strategy and selling audio internally. Hear how we're working with Audacy to help our clients connect beyond the screen Tune in here The solution: How did Experian Curated Deals help? Audigent, a part of Experian, ran point on setup, optimization, and real-time reporting. The brand turned to Experian Curated Deals. Together we: Streamlined access to curated inventory, cutting intermediaries and boosting efficiency Handled campaign setup and supply-side optimization Delivered real-time demand-side platform (DSP) reporting for agile targeting refinements Provided an extension of their in-house team, giving them bandwidth to focus on pitching audio internally “What stood out about Experian was their real-time control and the depth of their trading team. I knew I could hand them a campaign, and they’d run with it.”Programmatic Media Lead, National e-commerce pet supplier Want to see the full case study? Download it here What results did the campaign deliver? In just a few months, audio transformed from a small test into a top-performing channel: Exceeded KPIs by 63% Increased purchase intent and engagement vs. competing platforms Matched display performance without creative refreshes or incentive overlays Earned budget increases, positioning audio as a long-term investment Reduced internal setup time, freeing the team for strategic projects “Experian became more than just a media partner: they filled critical gaps that would typically require outsized investment in internal resourcing.”CMO, National e-commerce pet supplier Explore more examples of how brands are driving performance with Experian Windstar Cruises Leading athletic retailer Swiss Sense Why does this matter for marketers? For marketers, audio isn’t experimental anymore. It’s a proven channel that can drive both engagement and conversions. This case study shows how brands can: Use Experian Curated Deals to validate new channels with minimal risk. Lean on Experian to handle execution, freeing teams to focus on growth. Drive meaningful engagement and purchase intent, not just impressions. For marketers navigating limited resources and pressure to prove ROI fast, Experian Curated Deals provides both performance and confidence. Want to beat your campaign goals by double digits? Contact us today FAQs What is Experian Curated Deals? Experian Curated Deals streamline access to premium media inventory by eliminating unnecessary intermediaries, optimizing efficiency, and ensuring campaigns perform against KPIs. Why use curated deals for audio advertising? Curated deals help brands test and validate audio quickly, without the heavy lift of manual setup and supply path management. Can audio really drive conversions? Yes. In this case, audio campaigns not only exceeded awareness and engagement goals but also matched the conversion performance traditionally associated with display. How does Experian support lean teams? By managing setup, supply optimization, and reporting, Experian acts as an extension of your team, reducing internal workload while driving performance. Latest posts