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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It’s the holiday season! For some, this is the time of year for family, friends and reflection. For the other 97 percent* of us, it’s time to shop! America’s obsession with Black Friday, Cyber Monday and the rest of the holiday shopping season has never been stronger. Or weaker? Or something? All I know is that you should be skeptical of anything you see regarding the Thanksgiving weekend performance. And now, I will tell you about the Thanksgiving weekend performance We’re not discussing revenue in this post. Instead, we’ll dive into the weekend’s email subject lines – more specifically, how “percent off” deals affected email open rates. As everyone knows, Black Friday and Cyber Monday are the days for deals. Juicy “percent off” offers motivate customers to buy, buy, buy. But is the conventional wisdom, that “a deep discount will get people to engage with my brand,” actually right? A few weeks ago, my counterpart in the UK published an analysis of how percentage off discounts influence open rates. Taking the cue from Karl, I wanted to expand this analysis into the U.S. market, paying special attention to Thanksgiving weekend. To begin, I gathered data on a few thousand mailings from our largest retail clients. To determine the baseline expected open rates, I averaged each brand’s performance in the 6 weeks prior to Black Friday. I then analyzed all the mailings sent on Black Friday and Cyber Monday, dividing the subject lines based on the appearance of a percentage off offer. Interestingly, percentage off offers were less prominent than I expected: And when percentages off were present… their values were all over the place: Higher volume doesn’t lead to improved performance Conventional wisdom would suggest that advertising a discount more frequently would lead to better performing discounts. The data, however, doesn’t support that idea. When I looked at volume distribution and relative performance for each advertised discount, I found a relatively strong negative correlation of -0.63. So the more frequently a discount was advertised, the worse it tended to perform. We can see this visually in the chart below: On average, advertising discounts did not significantly improve open rates. What happened? The first thing to note here is the wide spread in the data – some percentage off discounts worked very well! Overall, though, shouting about a discount wasn’t what convinced customers to open emails during the holidays. But maybe it wasn’t just the percentage off discounts that faltered this season – perhaps all opens were down? As you can see in the histogram above – this wasn’t the case. The average mailing not touting a percentage off discount did ever so slightly better than the baseline average. Still, the spread of data is very wide, with a lot of variation in results. It could be that the dispersion of results was a product of each brand’s initial baseline; brands that normally had great engagement would see positive gains for percentage off discounts while brands with poor engagement would see little to negative lifts, or vice versa. But this hypothesis was also proven incorrect, as the relative starting place for each brand versus the discount performances had a correlation approaching zero. No matter which way I sliced it, the performance of discounted subject lines were more or less random. Ultimately, this last point is the most important. The subject line, for all its ubiquity and focus, is probably a lot less influential than we tend to believe. Sure, a subject line can be optimized, carefully crafted to invoke the greatest lift in response possible, but the baseline expected performance is influenced by a much larger conversation – the one between the brand and its customers. If the brand relationship has been cultivated and refined through intelligent interactions and sophisticated targeting, the open rate is likely going to be higher. If every marketing message simply shouts, DISCOUNT, DISCOUNT, DISCOUNT, and there is no larger value-add, engagement probably won’t be great. Advertising a discount in a subject line might really help get people involved – or it might not. So what is the future of the subject line? Are they worth the disproportionate time and energy that marketing organizations tend to spend on them? Or should we recognize that their importance is probably minimal? The truth is, it’s a little bit of both. Subject lines are important – they are the first impression and often the first interaction of the day with a customer. But their importance is likely inversely related to the strength of the brand (the “from” line, if you will). The stronger the relationship is, the less important the subject line becomes. Maybe that’s the ideal – a perfect “from” name, one that tells you more about what’s inside the message than a subject line ever could. *Not a real stat Connect with Jacob Davis, Senior Analyst, on Twitter: @davisj2007.
Before we get to the gift guides, here’s a brief update on the hottest products from the week including Cyber Monday. This week’s biggest movers and new additions to the list are a clear sign that Christmas is upon us. “Star Shower,” a laser light that bathes your house in festive lights without having to untangle cords, jumped to second place, up 49 rank points from the week prior. Likewise, the return of “Elf on the Shelf” to the hot products list coincides with his return to the homes of children nationwide. Otherwise, things seems to have stabilized with Fitbit showing no signs of falling from first place and Pie Face game being this year’s sensation. Toys Shopkins remains the toy to beat this season followed by Pie Face game, which remained in second place after skyrocketing interest during the week of Thanksgiving. Toys new to the top 10 this week include some old favorites like the Easy Bake Oven and Paw Patrol toys as well as the new entrant Glammin Salon Vanity. Keep checking back each week for the latest hot toys. This chart shows the 10 most searched for toys and games based on search clicks to Toys “R” Us – USA. Gift guide insight When it comes to buying presents for the holidays, some individuals are easy to shop for while others require a bit of inspiration. And when consumers need inspiration, consumers turn to the Web. Searches for “gifts for,” “gift guide” and “gift ideas” grow increasingly common as we get closer and closer to Christmas with peak search activity around this topic typically observed during the last full week before Christmas, which this year would be the week ending Saturday December 19th. Some of the most common gift recipients mentioned in gift guide-related searches are: “men,” “guys,” “her,” “mom,” “dad” and “girlfriend.” But shoppers are also frequently looking for suggestions on the perfect gift for someone very specific interests, such as “hunters,” “gamers” and “beer lovers” as well as specific types of gifts, like “tech” or “personalized.” The following gift guide insights, derived using our new AudienceView platform, were designed to highlight for you, as a marketer, the interests and preferences of key consumer segments so that you can more effectively tailor your campaigns to be more relevant and engaging. But if it also helps you, as a consumer, come up with the perfect gift for that hard-to-shop-for person in your life, then even better! Each gift guide contains a representative mix of search terms that were performed at above average rates by each audience segment during the four weeks ending November 28, 2015. They include a mix of product and retail brands and provide a good idea of the interests, style preferences and lifestyles of each audience. Learn more about how AudienceView can deliver unparalleled insights into your consumer audience so that you can deliver a better brand experience.
It’s October, and you know what that means; leaves are changing, sweaters are being pulled out of the closet, pumpkin-flavored items are taking over coffee shops. For many marketers, this is the most exciting (and stressful) part of the year. Holiday marketing is ramping up, and it will only increase in intensity as the weeks go on. Luckily, we’re hard at work here at Experian, analyzing data from past holiday seasons to bring you the insights you need to make your holiday marketing programs successful. We’ve examined search and email behavior to compile a list of the most important days to email and trends that will help you delight your customers from now until the New Year. You can access all of these insights in our Holiday 2015 Marketing Insights Calendar, which covers marketing trends from October through December. Holiday marketing tips for October With Halloween fast approaching at the end of the month (and Thanksgiving/Black Friday/Cyber Monday not far behind), marketers should use October to solidify their plan for the holiday season. Here are three things you can do to optimize your impact this month: 3 ways to optimize your holiday marketing programs in October Target reactivation campaigns to last year’s holiday-only shoppers to maximize active subscribers this season Perform a data cleanse and email verification to ensure message delivery. List health is key to a successful holiday season, and now is the time to double check. Consider offering Halloween-specific products for the little ones. Costumes for newborns and toddlers are on the rise, so don’t forget about the youngsters! Want more holiday marketing insights? Don’t miss our upcoming webinar, Check your list twice: Last-minute marketing strategies for the holiday season.