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:
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
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
Use case #3: Segmenting a health supplement ambassador program for enhanced engagement
Use case #4: Comparing customer bases: Insights for a retailer across two cities
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
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. 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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