Not all customers are the same, so why waste your budget marketing to them like they are? McKinsey research shows that 71% of consumers want personalized shopping experiences, and 76% get frustrated when they don’t have them. That’s where demographic segmentation comes in.
But what is demographic segmentation, exactly? We define it as a process that helps you categorize your audience into meaningful demographic groups so you can reach the right people with impactful custom messages.
Businesses across industries are partnering with Experian to power smarter decisions and better results through solutions like demographic segmentation — but what does this look like in action? This article breaks down five real-world demographic segmentation examples, showing how businesses have worked with us to drive measurable success so you can see exactly how it can work for you.
What is demographic segmentation?
Demographic segmentation involves dividing your audience into smaller, more specific groups based on shared demographics like income, education, gender, job, family status, and more to gain a more granular understanding of your brand’s target segments. The better you know your audience, the better you speak to their unique needs — and the more effective your campaigns will be, as you’ll be able to target each segment with highly personalized content that resonates.
For instance, a company might market a new tech gadget to young adults in one way while promoting the same product to families with young children in a completely different way, ensuring the message speaks to each group’s lifestyle and priorities.
Demographic segmentation attributes
Some of the most common attributes used in demographic segmentation include:
Age
Each age group has different wants and needs. A new video game might catch the eye of teenagers, while a retirement plan is more likely to appeal to someone in their 50s or 60s.
Gender
Gender impacts preference for certain products, from fashion to gadgets, so knowing who you’re talking to helps make your marketing more relevant.
Income
Someone with a higher income might be more likely to purchase premium products, while someone on a budget will respond better to discounts or value-based offers.
Education
The level of education a person has can influence what kind of messaging will resonate with them, whether it’s complex or more straightforward.
Occupation
A marketing message targeting busy professionals might differ from one aimed at students or retirees. Occupation can tell you what’s important to a person in terms of their needs and lifestyle.
Family Status
A family with young kids likely has different priorities than a single person or a couple without children. You can adapt your messaging to be more relevant to what matters most to them, like convenience or value.
Benefits of using demographic segmentation
Demographic segmentation offers several valuable benefits for marketers. Here’s why it’s one of the most commonly used and effective ways to target audiences:
- Improved targeting and personalization: Demographic segmentation powers highly customized campaigns so you can cater to different income levels, family structures, job types, and so forth. B2C brands can provide offers based on factors like age, income, and gender, while B2B brands can target by occupation to reach decision-makers.
- Better product and service development: Understanding which demographics use your product or service is a great way to inform future improvements.
- Higher engagement: With highly customized content, you can speak directly to specific demographic groups and increase engagement.
- Cost efficiency: As you target the most relevant segments, you optimize your spending around the most likely buyers and will see better returns.
- Increased conversion and retention: Relevant, targeted messaging leads to higher conversion rates, and when people feel understood, they’ll want to keep coming back.
- Clearer customer insights: Demographic data provides precise, actionable insights for refining your marketing strategy.
- Simplicity and effectiveness: Demographic insights are immediately actionable and easy to implement, which gives you a great starting point for focused campaigns.
When to use other segmentation types
While demographic segmentation provides valuable consumer insights, there are times when other approaches may offer a more effective strategy:
- Your business provides location-dependent services. If you strictly serve a local area, geographic segmentation would be more effective in targeting customers based on location.
- You have access to detailed behavioral data. If you collect data on customer behavior (like browsing history or purchase patterns), behavioral segmentation would allow for more personalized targeting than demographics.
- You’re selling high-end luxury products. While income is a useful demographic variable, factors like values, aspirations, and lifestyle better capture the desires of luxury consumers.
- Your target audience shares similar behaviors, regardless of demographic factors. Behavioral segmentation might offer more insight if your customers engage with your product or service based on shared behaviors rather than demographic traits.
- Your product or service targets specific needs or pain points. Segmenting by need or issue rather than traditional demographic variables would likely yield better results if you’re offering a solution to a particular problem (like a health-related product).
How our customers are using demographic segmentation to produce tangible results
Demographic segmentation is about knowing your audience and using data to create marketing strategies that drive measurable outcomes. Let’s look at some real-world use cases from brands like yours that have been successful in this effort, working with Experian to translate demographic insights into significant business growth.
Use case #1: Identifying customer spending potential to boost growth for a retail chain
Objective
A large retail chain wanted to understand the spending potential of each customer in their stores. Their goal was to uncover and maximize untapped spending potential.
Solution
The large retail chain licensed Marketing Attributes to identify the top demographic factors that drove spending in the retail store the previous year. The four key drivers were:
- Age
- Income
- Family structure (household composition)
- Location/region
Results
By combining these attributes to create custom segments, we uncovered two valuable annual estimates:
- Potential spend: A conservative estimate of how much a customer could spend if they reached the top 20% of spenders within their specific demographic segment (based on data from the highest spenders).
- Unrealized spend: The difference between a customer’s annual potential spend and their current spend. An estimate of how much more they could be spending each year.
These demographic segments provided the marketing strategy the retail chain used to target $1.1 billion in unrealized spend. This revealed how much additional revenue could be captured by targeting the right customers with tailored marketing and offers through demographic segmentation.
Use case #2: Helping a financial institution identify regional DE&I opportunities
Objective
A large financial institution needed help identifying regional diversity, equity, and inclusion (DE&I) opportunities. They wanted to better prioritize their outreach to underserved communities in the Los Angeles area.
Solution
We provided the data and insights to pinpoint specific areas needing attention. We used three key indices to analyze the region:
- Income index: Measured each underserved economic group by comparing the percentage of low-to-moderate income consumers against the entire L.A. area.
- Ethnicity index: Measured the percentage of consumers by ethnicity, such as African-American, Hispanic, Asian, and others, against the entire L.A. area.
- Credit index: Identified potential credit disparities by looking at the average FICO score and the percentage of customers with credit accounts against the entire L.A. area.
Results
Our client received an analytics dashboard to track and report these metrics, providing clear, traceable data to prioritize DE&I outreach. This dashboard helped them measure progress toward more inclusive practices.
Use case #3: Segmenting a health supplement ambassador program for enhanced engagement
Objective
A health supplement company wanted to identify specific segments within their ambassador program to provide better support and increase engagement.
Solution
We developed tailored customer segments to address specific needs and behaviors. These segments included:
- Young and independent: Younger, lower-income singles or starter households who are just beginning to establish their own lives.
- Families with ends to meet: Young and middle-aged families with kids who are budget-conscious, often using coupons and enjoying fast food.
- High-end families: Middle-aged families with kids and high incomes, financially secure big spenders who also give to charities.
- Empty nesters: Older households with no kids who focus on cooking at home and may have more disposable income.
Results
Segmenting at registration allowed for more effective communication and engagement with prospects. Customized messaging, guided by customer demographics and purchasing behaviors, improved acquisition and retention by helping the right messages reach the appropriate individuals through their preferred channels.
Use case #4: Comparing customer bases: Insights for a retailer across two cities
Objective
A national retailer with locations in two major cities (their home base city and a recent expansion city) wanted to understand how different their customer base was in each city. They aimed to uncover key demographic and behavioral differences to refine their marketing strategies and ensure each location received the most relevant messaging and promotions.
Solution
We analyzed each city’s customers across a wide range of characteristics:.
- Demographics: The expansion city had a younger population with more families, while the home base city had an older and more established customer base.
- Purchasing behavior: Customers in the expansion city spent more per transaction than those in the home base city.
- Preferred marketing approach: Customers in the home base city were likelier to be Brand Loyalists, responding well to familiar, trust-driven messaging. Shoppers in the expansion city were Savvy Researchers who responded better to value-based content and product comparisons.
Results
Using these insights, the retailer tailored its marketing approach to align with each location’s customer base:
- Home base city: Focused on maintaining loyalty by emphasizing brand trust and highlighting long-term customer benefits.
- Expansion city: Positioned marketing to appeal to younger, family-focused consumers to showcase high-value purchases and competitive pricing
These adjustments led to improved engagement and higher sales in both cities.
Use case #5: Optimizing direct mail to help a nationwide retailer maximize impact on a limited budget
Objective
Facing a shrinking marketing budget, a nationwide retailer needed to refine their direct mail strategy to reach the right customers while reducing costs.
Solution
We developed a comprehensive dashboard summarizing two dozen recent direct mail campaigns, which allowed the retailer to:
- Understand the demographic composition of high-response customers across different regions.
- Identify key patterns in response rates, helping them pinpoint the most receptive audiences.
- Discover that the Power Elite Mosaic Group representing affluent, high-spending households comprised only 17% of their mailed audience but accounted for 47% of responses.
Results
With these insights, the retailer restructured their direct mail strategy to target the highest-performing segments. Changes like these led to a 30% reduction in mailing costs while retaining 92% of sales, proving that strategic segmentation can drive efficiency without sacrificing revenue.
Explore demographic segmentation with Experian
Now that we’ve defined demographic segmentation and provided real-world examples, it’s time to explore how Experian data can help you better understand and connect with your audience. Experian’s Marketing Attributes provide rich, privacy-conscious insights into consumer demographics, lifestyles, and behaviors. These insights empower marketers to personalize experiences, refine targeting strategies, and make more informed decisions. With a deeper understanding of who your customers are, you can create more meaningful, impactful campaigns that drive stronger engagement and results.
Connect with us today to see how our data and expertise can improve your targeting, personalization, and campaign performance.
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Cross-device matching and pixel-based foot traffic attribution reporting empower digital marketers with greater control of location-based campaigns.RALEIGH, N.C. (PRWEB) AUGUST 04, 2020 Tapad, part of Experian a global leader in digital identity resolution, and Reveal Mobile, a leader in location-based marketing, today announced a collaboration that combines Tapad's digital cross-device matching technology and pixel-based attribution features with Reveal Mobile’s VISIT Local, the software that hundreds of digital agencies and brands use for location-based analytics. The partnership is designed to drive improved performance by optimizing ad targeting and messaging for location-based campaigns. Powered by Tapad’s privacy-safe cross device matching, marketers using VISIT Local to power location-based campaigns can enhance how they reach shoppers. When one member of a household shops for groceries, clothes, household goods or any other consumer item, a conversation between multiple members of the household typically takes place beforehand. With cross device matching, marketers can reach everyone who has influence over what to buy and where to buy it. VISIT Local users can expand location-based services with a single click to include devices that share the same household, including targeting across multiple devices owned by the same user, allowing advertisers to maximize messaging and increase their share of wallet among consumers. “VISIT Local has always given our customers access to high-intent location-based audiences. With the addition of cross device matching from Tapad, advertisers can boost audience sizes up to 300 percent while maintaining full confidence in quality and relevance,” says Brian Handly, CEO of Reveal Mobile. “VISIT Local users can now apply multiple criteria and attributes to a single location-based audience, giving them the advanced control and transparency they need.” As reliable attribution becomes increasingly complex for marketers and ad buyers who need to prove value, the addition of Tapad’s pixel-based foot traffic attribution to VISIT Local enables the measurement of actual campaign effectiveness by tying ad views to in-store foot traffic. This new feature, which will be available in VISIT Local this fall, lets Reveal Mobile customers understand who visited a retail location as a result of being served an ad, providing a more accurate view into return on ad spend during and after advertising campaigns. “Tapad’s goal is to empower marketers with digital advertising efficiencies at scale across devices,” says Mark Connon, COO of Tapad. “With cross device matching and pixel-based foot traffic attribution, marketers using VISIT Local can better address the consumer’s preferences and habits, and deliver them consistently actionable information on user behavior. These capabilities advance location-based advertising in ways marketers need and want.” In addition to these new features, VISIT Local’s location-based audience builder now enables marketers to create custom audiences made up of people who have visited different places on different dates. This gives VISIT Local users the ability to segment and create the most highly targeted audiences possible. For example, a marketer who wants to advertise for a chain of restaurants can easily target visitors of different competitors in different cities. Or a marketer who wants to advertise vacation destinations can target people who have been to various resorts at different times of year. Or a marketer who wants to advertise the release of new music can target people who have been to concert venues in different cities on different dates. “Many of our customers need to create highly custom audiences so they can run experiments, test messaging, and run increasingly competitive campaigns,” says Handly. “Everyone who uses VISIT Local can now apply multiple criteria and attributes to a single location-based audience, giving them the advanced control and transparency they need.”To learn more about Tapad’s digital identity resolution products, visit our identity solution page. To learn more about Reveal Mobile’s location-based marketing offerings, visit http://www.revealmobile.com. About TapadTapad, Inc. is a global leader in digital identity resolution. The Tapad Graph, and its related solutions, provide a transparent, privacy-safe approach connecting brands to consumers through their devices globally. Our one-of-a-kind Graph Select offering enables marketers the flexibility and freedom of choice to correlate devices to varied objectives, driving campaign effectiveness and business results. Tapad is recognized across the industry for its product innovation, workplace culture and talent, and has earned numerous awards including One World Identity's 2019 Top 100 Influencers in Identity Award. Headquartered in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo. About Reveal MobileReveal Mobile is a leader in location-based marketing, analytics, audiences, and attribution. Creator of VISIT Local, VISIT Match and VISIT Data, the company’s products help digital agencies, brands and retailers of any size leverage location data to understand and reach the right audiences. Reveal Mobile is CCPA compliant and a member of the Network Advertising Initiative, which conducts an annual privacy certification. The company is based in Raleigh, NC. For more information, visit https://revealmobile.com. Contact us today
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 Contact us today
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