A successful back-to-school campaign strategy starts with identifying the key audience segments to target. Over half of all searches related to back-to-school happen within a select group of consumers – knowing which ones can go a long way in forming an effective marketing strategy. Focus on this smaller, targeted set to maximize your efforts.
With over $72 billion projected in total U.S. back-to-school retail sales this year, you can capture more spend than ever before during this big shopping season by tailoring your strategy to a smaller set of targeted shoppers. Experian data can help you make the most of your back-to-school campaigns by uncovering the top five back-to-school audiences.
Five audience segments for 2023
Our data provides key insights into who these shoppers are and how to reach them, allowing you to create personalized content tailored to their needs. What are the top five audiences you should add to your 2023 back-to-school campaign?
- High-Net-Worth Households
- Bilingual Multi-Generational Households
- Suburban Savvy Shoppers
- Young Suburban Families
- Tech-Savvy Families
What do these audiences look like? Who are they? Where do they shop? Let’s review each audience in a little more detail.
High-Net-Worth Households
This group consists of households with above-average income and education levels. They often lease luxury cars, purchase products in every channel, travel extensively, and are philanthropic supporters of the arts.
Key features
- Wealthy
- Highly educated
- Lease luxury cars
- Purchase products in every channel
- Travelers
- Philanthropic supporters of the arts
Bilingual Multi-Generational Households
Large households in multilingual neighborhoods, filled with married parents and their kids. They are financially cautious, bilingual, and participate in team sports.
Key features
- Bilingual
- Large households
- Married with kids
- Financially cautious
- Team sports
Suburban Savvy Shoppers
Middle-aged couples and families who earn above-average incomes, maintain active lifestyles, and spend their money on quality home products and furnishings.
Key features
- Affluent
- Athletic activities
- Home products & furnishings
- Sporting goods
- High-priced children’s clothing
Young Suburban Families
This segment includes households in the middle child-rearing stages of life, typically with a dual income household and multiple children of school age. They typically have spacious single-family residences in suburban neighborhoods that are slightly above average in housing values. On weekends, these suburban young families often engage in activities like skateboarding, biking, and video games with their children.
Key features
- Comfortable lifestyle
- Children’s games
- Wholesale members
- Family-centric activities
Tech-Savvy Families
Highly educated, affluent couples in their peak earning years, with a preference for both traditional and digital media, who live in upscale housing and are savvy investors and environmental philanthropists.
Key features
- Highly educated
- Affluent
- Upscale housing
- Savvy investors
- Environmental philanthropists
- Tech apprentices
Watch our 2024 video for tips from industry leaders for back-to-school
In our new Q&A video with Experian experts, we explore changing consumer behaviors surrounding back-to-school shopping in 2024. In the video, we discuss:
- Anticipated shifts in consumer behaviors and shopping habits
- Tactics we predict marketers will employ to navigate signal loss
- Which channels will be the most successful
- And more!
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Discover Experian’s 19 new holiday shopping audiences designed for you to reach the most relevant shoppers this holiday season.
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. Contact us Latest posts
Experian’s 2024 Holiday spending trends and insights report covers consumer spending trends for the holiday season.