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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Definition of an NHL and Non-NHL fan The behaviors and preferences of National Hockey League (NHL) and non-NHL fans are compared in this report. Below are the definitions of each consumer type: NHL fans are 18+ adults who are either “very”, “somewhat”, or “a little bit” interested in NHL Non-NHL fans are 18+ adults who are “not at all” interested in NHL Who Are NHL Fans? Compared to 2006, there are 11 percent more American adults who are NHL fans*. And with 52 percent of its fans under the age of 45, the NHL’s fan base is – for the most part – young. NHL Fans Are Educated and Well Paid NHL fans are more likely than non-NHL fans to have graduated college and attained a graduate degree. The benefits of their higher education is clear as NHL fans are 64 percent more likely than non-NHL fans to personally earn an income of $150,000 or more annually. Next we’ll examine a few luxuries NHL fans enjoy: home-ownership, watches, and vehicles. Home Owners Seventy-seven percent of NHL fans own their place of residence. The graph below charts the percentage of NHL and non-NHL fans who own any resident type (includes house, condominium, co-op and mobile home). As illustrated, there are more NHL fans than non-fans who own homes that value at $300,000 or more. Watches Twenty-six percent of NHL fans purchased a watch for themselves or someone else in the last 12 months and their tastes are not cheap. NHL fans are 2.6 times more likely than non-fans to have spent $500 or more on a timepiece. Vehicles Similar to their watch purchasing behavior, NHL fans are willing to splurge on their vehicles. For their most recent vehicle purchase, NHL fans were 13 percent more likely than non-NHL fans to spend over $30,000. Internet Purchases NHL fans spend big online. During the last 12 months, NHL fans spent a total $9.9 billion on Internet purchases. Among those who made a purchase in the last year, NHL fans are 25 percent more likely than non-NHL fans to spend $1,000 or more online during the year. In fact, 41 percent of NHL fans who shop the Internet spend at least $500 online a year. Business Purchase Decision Makers The previous slides established that NHL fans have expensive taste and aren’t troubled spending extra to purchase personal items. However, can the same be said for business-related purchases? Indeed it can. Not only are there more NHL fans than non-fans making business purchase decisions, they’re also 54 percent more likely than non-fans to spend $100,000 or more on office products. Conclusion The National Hockey League has a growing fan base that doesn’t mind spending extra for products and services.