Demographic Segmentation: How To Use It (2026)

Demographic segmentation is a way for businesses to build marketing strategies suited to audiences based traits such as age, gender, income, education, or family status. It’s a type of marketing segmentation, which is the practice of dividing a target market into smaller groups with shared characteristics. Other types of marketing segmentation include behavioral segmentation, geographic segmentation, and psychographic segmentation.

According to HubSpot’s 2026 State of Marketing report, 93% of marketers report that personalization and segmentation improves leads and purchases.Store owners use demographic data, including age, location, and income, to personalize product recommendations, offers, and messaging for each segment.

Here’s an overview of demographic segmentation in marketing, plus examples of brands that target specific audiences in their marketing messages.

What is demographic segmentation?

Demographic segmentation is a marketing strategy that divides a target audience into groups based on measurable characteristics. Store owners use these segments to build marketing and pricing strategies for each demographic group. Demographic segmentation factors may include: age, gender, income, education, occupation, family size, religion, ethnicity, nationality, and customer status. 

Marketers can collect demographic information using customer data, surveys, and third-party sources like census data.

How demographic segmentation fits into market segmentation

Market segmentation helps businesses focus messaging, product decisions, and ad spend on specific groups instead of a broad audience. Marketers group segmentation strategies into four types:

• Demographic segmentation. Groups a target market by population traits such as age, gender, income, education, or family status.
• Psychographic segmentation. Groups a target market by values, interests, and lifestyle.
• Behavioral segmentation. Groups a target market by purchasing habits and product usage.
• Geographic segmentation. Groups a target market by location, such as country, region, or climate.

Demographic data comes from sources like account profiles, surveys, and census records. Psychographic and behavioral segmentation can rely on survey responses, purchase history, or browsing activity tracked through ecommerce analytics tools. Geographic segmentation uses location data alone and doesn’t include information about individual preferences.

Store owners combine demographic segmentation with the other three types to add context that population data alone doesn’t provide.

Why demographic segmentation matters for ecommerce

Demographic segmentation helps inform demographic marketing, which is the practice of shaping product, pricing, and messaging decisions around demographics. Demographic segmentation lets marketers connect with new and existing customer bases. 

Here are four reasons to use demographic segmentation in your marketing efforts:

• Increased precision. Analyzing demographic data points lets store owners tailor marketing messages, promotions, and product offerings to specific groups.
• Improved customer experience. Demographic segmentation lets store owners provide personalized services and recommendations tailored to specific groups.
• Insights for product development. Demographic data helps product teams identify the needs and preferences of specific customer groups.
• Focused marketing spend. Focusing marketing efforts on well-defined demographic segments directs budget toward specific groups instead of broad, undifferentiated campaigns.

Types of demographic segmentation

Marketers can group demographic segmentation into these variables:

• Geographic location
• Age
• Gender
• Income range
• Family structure
• Education
• Occupation
• Ethnicity and national origin
• Religious and cultural background
• Relationship to the brand

Geographic location

Location data typically falls under geographic segmentation, but it can blend with demographic segmentation in terms of climate, language, and cultural context. 

For example, a surfboard retailer targets marketing efforts toward Tahiti rather than Kansas, and a store selling in Austria uses German ad copy instead of Japanese ad copy.

Age

Dividing up the public based on age groups is one of the more common types of customer segmentation. Age segmentation is valuable because different generations have different standards and customer preferences. 

It can also inform where consumers ingest information. In a 2025 Pew Research Center survey, 87% of US adults 65 and older said they often or sometimes get news from television compared with 47% of adults aged 18 to 29. Meanwhile, 93% of adults aged 18 to 29 get news from digital devices.

Age segmentation appears in the clothing industry. Clothing brand Dôen sells coordinated Family Sets for parents and children, appealing to millennial parents, while shoemaker Rothy’s sets its sights on a broader age range, targeting those who care about sustainability and comfort.

Gender

Marketers use gender-based demographic segmentation to guide advertising decisions, however, it’s important for store owners to avoid gender stereotypes when applying this variable. 

Men’s grooming sales in the US topped $7.1 billion midway into 2025, up 6.9% year over year, according to market research firm NielsenIQ. Cosmetics brand Stryx formulates and markets concealer and tinted moisturizer specifically for men, a demographic historically excluded from cosmetics marketing.

Income range

Income-based segmentation groups customers by earning power, since some products and price points are out of reach for certain income segments. Income level shapes marketing messaging, such as an emphasis on luxury versus value for money, and the channels store owners use to reach each segment. A financial services brand may target high-income segments through financial publications or high-fashion magazines, while a budget retailer targets lower-income segments through broadcast TV or social media.

US households spent an average of $78,535 in 2024, according to the Bureau of Labor Statistics. Housing and transportation accounted for more than half of that total while housing made up 33.4% of spending, and transportation made up 17%. Apparel accounted for 2.5% of spending, and personal care products and services accounted for 1.2%.

Family structure

This is a type of segmenting based on marital status, family size, and family roles. Family structure segments include single people, parents, and couples. Lunchskins, a company founded by a mom looking to eliminate plastic waste when packing school lunches for her kids, targets parents and families in its marketing campaigns.

Education

Education segmentation groups customers by highest level of education completed, such as high school, undergraduate degree, or graduate degree. 

Marketers collect education-level data about existing and potential customers, then adjust things like ad copy language for each segment. For example, a brand marketing to doctoral-level professionals may use different messaging than a brand marketing to high school students.

Occupation

Marketers target customer groups based on the kind of work they do. This type of demographic segmentation applies to niche products tied to specific industries. For instance, medical scrubs and piano tuning equipment each target a specific occupational group.

Ethnicity and national origin

Businesses learn about a prospective audience’s nationality and ethnicity through market research or US census data. This segmentation variable groups customers by shared cultural background and shapes product offerings and ad language for specific communities. 

Cheekbone Beauty, an Indigenous-owned cosmetics brand, targets Indigenous consumers and has previously named products after Indigenous women, including former Ms. Universe Ashley Callingbull.

Religious and cultural background

Religious and cultural background segmentation groups customers by religious affiliation and cultural background, which can overlap with behavioral and psychographic segmentation types. 

Religious and cultural background aligns with beliefs, values, and lifestyle choices, such as dietary practices. Store owners marketing to customers who follow a halal or kosher diet highlight halal or kosher certification, or develop products that meet these dietary requirements.

Relationship to the brand

Businesses combine demographics like gender and age with customer status, such as whether a person is a new or repeat customer. Customer status is classified as behavioral segmentation, but ecommerce brands often layer it onto demographic data when building segments. 

For example, a brand might combine customer status with age by building a loyalty segment specifically for repeat customers aged 25 to 34, tailoring offers to that combined group.

Brand awareness, such as whether a prospective customer has seen a company’s ads or recognizes its name, factors into this segmentation type alongside customer status. 

Businesses solicit customer feedback and offer referral programs to encourage repeat purchases. Bombas’s referral program, for example, gives new customers 25% off their first purchase and gives the referring customer $20 in store credit.

How to use demographic segments in your marketing

Store owners apply demographic segments differently depending on the platform. In a 2025 Pew Research Center survey, 80% of US adults aged 18 to 29 said they use Instagram, compared with 19% of adults 65 and older. Roughly half of 18- to 29-year-olds use TikTok at least once a day, compared with 5% of adults 65 and older.

Build demographic segments in stages:

• Start with two to three segments. Choose the demographic variables most relevant to the product, such as age and income range.
• Compare conversion rate and average order value. Track how each segment performs against these two metrics before adding more segments.
• Expand based on the results. Add new segments once the data shows a performance difference between the segments already in use.

How to collect demographic data for your store

First-party data comes directly from a store’s own customers through account profiles, order history, and marketing preferences. 

The Shopify Forms app lets store owners create sign-up and lead-generation forms that collect this information directly on their online store. 

Shopify Messaging lets store owners communicate with customers by email and SMS, tracking engagement data such as opens and clicks along the way. 

Shopify’s customer segments can group this collected data into demographic and behavioral segments for target marketing.

Third-party sources can supplement first-party data with population-level demographic information:

• US Census Bureau. Publishes population data on age, income, education, and household structure.
• Bureau of Labor Statistics. Publishes data on employment, wages, and household spending.
• Pew Research Center. Publishes survey data on demographics, technology use, and consumer behavior.

Data collection carries legal obligations. The Federal Trade Commission enforces guidelines on how businesses collect, use, and disclose consumer data. 

The California Consumer Privacy Act grants California residents rights over their personal information, including the right to know what data a business collects and to request its deletion. 

The General Data Protection Regulation governs data collection for customers in the EU, requiring consent before collecting personal data and giving individuals the right to access or delete their information. Store owners collecting demographic data account for the regulations that apply to their customer base.