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.
Latest posts
As marketers, we all want to better leverage data to understand our customer and provide them with the best possible experience. It not only better serves our clients, but is ultimately more profitable for the company. But most of us struggle with large volumes of data, with no idea how to best use it. There are many factors that play into this problem. For most organizations, data is spread out across multiple systems with no consistent data management strategy. That means that as marketers, when we get the data, it comes in a wide variety of forms. The standardization could be different, customers could be missing certain record fields, purchase history could be divided into different accounts…you get the picture. This disparity makes it difficult for us to get any sort of insight from the information. How can we leverage data if it is inaccurate, incomplete and not accessible? Experian Data Quality recently completed a survey of over 250 chief information officers (CIOs) and found that they too are struggling to leverage data. Four out of five see data as a valuable asset that is not being fully utilized within the organization. In speaking with the CIOs, some of the biggest challenges aren’t just about technology, but rather organizational structure and company culture. Sixty-eight percent of CIOs struggle to find stakeholders who take anything other than a siloed view of data management. In addition, 70 percent of respondents say they struggle to implement data-driven decision making because no one seems to own the process. To improve data insight, organizations need to improve the structure around data management. This is where the chief data officer (CDO) comes into play. The chief data officer is a growing c-suite position that is getting more and more popular. Most of the CIOs we spoke with that had a CDO said the role had only been created in the last six months. The reasons companies are looking to put a CDO in place are all related to improving access and insight from data. CDOs are there to: Reduce risk around data-driven projects Curb costs from poor quality data Handle increasing data governance pressures As this role continues to grow, it is going to have a big impact not only on marketing, but also the organization as a whole. With that in mind, join us for a webinar on Tuesday, August 18th at 2 PM EST to talk about the emergence of the chief data officer. We’ll discuss data as an untapped resource, how the role is changing organizations and how to ensure your organization is ready for the shift that this new role brings. Register today!
There is much to be said about the differences between college-age consumers (19- to 21-year-olds) today and their counterparts five years ago. As many marketers recognize, young-adult consumers cannot be targeted based solely on generalizations and assumptions. To accurately and respectfully capitalize on this segment’s buying power, marketers need to understand how their spending patterns have changed in recent years and how to earn a slice of the group’s spend. Accounting for inflation, 19- to 21-year-olds are making more money than young adults did five years ago. Their pay has increased by 20 percent, and, interestingly, their spending has increased by 30 percent. So where are they spending this money? 1. Dressing for success According to Census Area Projected Estimates (CAPE) of expenditure data from Experian Marketing Services, both men and women in this age group are filling their closets with about 35 percent more professional attire — shoes included. This has brought 2015’s average spend up to $22,859 per year per household for college-age women and $11,196 per household for college-age men. This rise in spending on professional wardrobe could be attributed to more professional entry-level job expectations or a possible shift in technical trade positions to business professional positions. CAPE data also reveals a 70 percent increase in memberships to networking and recreational clubs. This increasingly professional outlook among college age consumers requires confidence and the right ensemble to proclaim success. Key takeaway: Position products and services to appeal to this career-minded consumer who is aiming to look the part. 2. “Go with the flow” What kinds of messages resonate with these individuals? According to TrueTouchSM data from Experian, college-age consumers can be best engaged when marketers appeal to them using a “Go with the flow” marketing message. “Go with the flow” has consistently ranked as the top motivating marketing message for college-age individuals in the study. The second and third most resonating marketing messages for this market are “Never show up empty handed” and “Work hard, play hard.” “Go with the flow” means this market has a live-and-let-live outlook on life. Brands who employ a similar outlook, don’t take themselves too seriously and extend no-risk offers may have a better chance to engage this cohort. Key takeaway: If marketers tailor messages around these motivating philosophies, they may have a better chance of earning this market’s business. 3. Offline entertainment For marketers in the retail industry, particularly those with clothing or supplies fit for the outdoors, be aware that this cohort of 19-21 year olds are visiting outdoor apparel and supplies sections more often than they did five years ago. In fact, they are spending 37 percent more on luggage and travel than the same age group 5 years ago. According to the same Experian CAPE study, renting RV’s and increasing spend on camping and winter sports equipment are expenditures getting more attention from college-age consumers this year. Key takeaway: Despite being pegged as a technology-first generation, this cohort also enjoys going “off the grid.” Even if you aren’t selling outdoorsy equipment, be aware that there is more to this age group than smartphones and Netflix. Combine the “go with the flow” attitude with their sense of adventure to better cater your messages to these consumers. A lot has changed in five years. Marketers trying to engage college-age consumers need to understand how spending habits (and motivations) are changing in order to provide the most relevant brand experiences and capture this hard-to-pin-down market. To see how Experian Marketing Services’ rich consumer data can help you profile your best customers, visit our website.
Data may not be the most glamorous aspect of marketing but it is at the heart creating meaningful consumer interactions in today’s data-driven world. In our award-winning, annual Digital Marketer Report we asked senior leaders about their top challenges and priorities. They said things like standing out against competitors, creating relevant interactions and customer acquisition. To my surprise, they didn’t say data. However, all the top challenges and priorities are predicated on having accurate, enriched data that is linked together in a central location for a complete customer view. The sobering fact is that most brands are not there yet. Most are not fully utilizing their data assets and maximizing their marketing intelligence. Take a look at these stats from the Digital Marketer Report to get an idea of where most brands are with data management practices. Overall, 45% of companies collect data via mobile – be it a mobile website, app or both TWEET THIS! 97% of companies suffer from common data errors. 61% of companies named human error as a top reason for data inaccuracies. TWEET THIS! On average globally, companies believe that 23% of their budget is wasted annually due to poor data quality. TWEET THIS! Today, only 35% of companies manage their data centrally through a single director. TWEET THIS! 99% of companies believe achieving a single customer view is important to their business. Only 24% of companies say they have a single customer view today. TWEET THIS! 29% of marketers who enrich their data with third-party data only add one type of data. TWEET THIS! One-quarter of marketers don’t enrich their data with any kind of third-party data. TWEET THIS! It’s important for marketing leaders to understand that they first need to focus on data and creating a customer-centric organization to support good data-management practices. Only then will they be able to reach their goals.