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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Many may remain apprehensive about safety and continue to “dine at a distance” until they’re confident that they can remain healthy, or until a successful vaccine goes into use. Even as states begin their phased re-opening plans, many continue to work from home—which has greatly affected both dine-in and QSR venues. Those who saw a robust lunchtime crowd probably saw a drop-off while business-based locals shifted their office plans. However, new opportunities have emerged for restaurants to reach out to their regular lunch crowd to offer delivery or attract a whole new lunch crowd who may not have thought to order from them before. Between the challenges of a post-pandemic world, a shifting of diner priority, and an uncertain future facing the restaurant world, it’s now more important than ever before to leverage an intelligent, data-driven marketing strategy to ensure your campaigns reach the right consumers, and also attract new customers to expand your customer base over time. All of this can be done using the power of data, but having the right data is key to making the most of your marketing efforts. As you’re crafting your current marketing plans, it’s important to look at all the variables you need to address to create more targeted messaging, thus helping you zero in on your most desired consumer base. The first thing to consider is, how well do you know your guests, and what do you know about them? If you have no insight into their dining habits or preferences, it will be challenging to come up with messaging that will speak to them. But with the right data, you can discover if they frequent your competitor’s locations (and if so, how often), which apps they’re using to order food, which days of the week, and even which meals they are most likely to order. You can also use this information to better understand how often you factor into your customer’s dining plans by understanding if they are beginning to commute again, or continuing to work from home, and if the latter, do they live near one of your locations. Data can also help you discover more about who they are, so you can even further tailor your messaging to their needs. Let’s say your target customer is married with children. Addressing their busy life as a professional and a parent, and sharing how you can ease the burden of dinnertime to make life easier for them, may be exactly the kind of message of support they need to encourage them to reach out to you. Using data based on demographics, lifestyle, behavior, attitudinal and mobile location data can help you cook up a marketing strategy with precision and success, resulting in more diners knocking on your door (or at least, calling for take-out). Another key component to consider is the use of mobile location data, which Zeta Global cites1 as being the most important data chain restaurants can use for their marketing plans. Not only can this data be used to better understand share of wallet and potential up-sell opportunities, but it can also be leveraged to reach out directly to potential new customers that have historically frequented your top competitors. You can also use mobile location data to connect with consumers who may be more drawn to your restaurant because of your delivery or curbside pick-up options, and craft outreach based on that information that will encourage them to order with you. As Hospitality Tech pointed out2, building trust in a post-pandemic world is key for QSRs who want to continue to encourage loyalty with current guests, and entice new ones to place orders. The key to making that happen is data. By deploying marketing messages that resonate, activating them on the channels your guests use most, then measuring the impact of your campaigns, QSRs can create more opportunities for success and customer connection that can translate into real, long-term results. Plus, the right data can help you increase store traffic with high value guests, reactivate guests who haven’t visited in a while and find new individuals who live nearby that closely resemble your current high value guests. Experian has decades of experience in helping organizations better communicate with their customers across all marketing channels. How can we help you? Find out more about our restaurant marketing solutions. 1https://zetaglobal.com/blog/chain-restaurants-need-customer-data/ 2https://hospitalitytech.com/new-marketing-communications-playbook-during-covid-19
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Overview Chartable leverages The Tapad Graph to improve cross-device attribution rates and remove non-addressable IPs for clients. Challenge Chartable needs to differentiate between consumer and potential business IP addresses to provide accurate household modeling and reduce excess data for their customers. Podcasting generally only has access to IP addresses as a form of digital ID which limits its ability to connect activity to individuals and extend it across all devices. The Tapad + Experian solution Using Tapad, now a part of Experian, Chartable is able to cut through the noise of IP data and discard any addresses deemed a shared IP or business. Then, Tapad + Experian connects individual users to their other digital IDs and users in their household; creating a richer attribution model for Chartable customers. Increase in podcast attribution rates Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!