It’s back-to-school season. Knowing your target audience is an essential piece of planning a successful back-to-school marketing campaign. To get the most out of your marketing investment this back-to-school season, it’s important to understand how to identify and segment back-to-school shoppers so you can make sure that the right message reaches the right group at the right time.
In this blog post, we’ll cover how you can segment your target audience to create and deliver custom messaging tailored to individual groups. We’ll discuss segmentation methods that uncover:
- Who they are
- Where they live
- What type of person they are
- How they behave and spend
Here are our tips to accurately define and target your back-to-school marketing audience.
Maximize back-to-school marketing with customer segmentation
Customer segmentation is the process of dividing your audience into smaller groups based on common characteristics such as demographics, behaviors, psychographics, geographics, and more. The purpose of customer segmentation is to create a more personalized and effective approach to marketing. By understanding the unique needs and preferences of each segment, you can tailor your messaging, campaigns, and content to resonate with your customers on a deeper level.
Benefits of customer segmentation
Three benefits of customer segmentation include:
- Improved audience targeting
- Higher engagement rates
- Increased ROI
Instead of addressing your entire customer base with generic messaging, segmentation enables you to deliver custom campaign messaging that speaks directly to each group. This personalized approach helps build trust and loyalty with your customers over time.
Customer segmentation also allows you to better understand your customers, their motivations, and pain points, ultimately leading to more effective marketing campaigns.
Types of customer segmentation
When it comes to segmenting your customers, there are several methods to consider. By experimenting with different approaches, you can find the best fit for your business. Keep in mind that the most effective customer segments will differ depending on the industry.
Let’s review four types of customer segmentation that you can implement as part of your back-to-school marketing strategy.
1. Demographic segmentation
Demographic segmentation categorizes consumers into groups based on shared demographic characteristics such as age, gender, income, occupation, marital status, and family size.
For example, targeting college students during the back-to-school season with promotions on laptops is likely to be more effective than targeting retirees who may have less interest in such products.
2. Behavioral segmentation
Behavioral segmentation divides customers into groups based on their demonstrated behaviors. This method sorts customers by their knowledge of products or services, attitudes toward brands, likes/dislikes about offers, responses to promotions, purchasing tendencies, and usage of products/services.
Behavioral segmentation can help you identify the highest-spending customer segments, so you can budget and target more effectively. Through this type of segmentation, you can analyze each group’s patterns, discover trends, and plan informed marketing moves for the future.
In a back-to-school campaign, you could use behavioral segmentation to identify students who prefer to shop locally. You could then target students who value supporting local businesses and emphasize the importance of buying from local retailers during the back-to-school season.
3. Geographic segmentation
Geographic segmentation involves dividing your target market into groups based on their physical locations. Geographic segmentation reveals aspects of a local market, including physical location, climate, culture, population density, and language.
In a back-to-school campaign, you could use geographic segmentation to identify target audiences in colder climates who may be more interested in winter clothing and gear. You could also use geographic segmentation to target students living in college towns with messaging that speaks directly to campus life.
4. Psychographic segmentation
Psychographic segmentation groups customers based on psychological factors such as lifestyle, interests, personality, and values.
In a back-to-school campaign, you could use psychographic segmentation to target students who value sustainable practices, promote eco-friendly products, or offer incentives for recycling and reusing items.
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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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