{"id":181841,"date":"2024-04-18T23:10:42","date_gmt":"2024-04-18T23:10:42","guid":{"rendered":"https:\/\/userpilot.com\/blog\/customer-segmentation-examples\/"},"modified":"2026-03-24T15:02:25","modified_gmt":"2026-03-24T15:02:25","slug":"customer-segmentation-examples","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/customer-segmentation-examples\/","title":{"rendered":"19 Customer Segmentation Examples for SaaS Growth"},"content":{"rendered":"

Looking for the best customer segmentation examples? You\u2019ve come to the right place.<\/p>\n

These examples can help you understand how to target your marketing better to increase product engagement and usage. While a customer segmentation strategy provides your roadmap and customer segmentation models provide the data structure, these examples will help you figure out if you should segment users based on their age, company size, or pain points.<\/p>\n

Let\u2019s get started.<\/p>\n

19 Customer segmentation examples<\/strong><\/h2>\n

How do you select the right customer segmentation model for your product? Let\u2019s take a closer look at a few customer segmentation examples to help you get started.<\/p>\n

Customer segmentation example 1: Age-based<\/strong><\/h3>\n

Age is a commonly used demographic segmentation factor. Users in different age groups have varying buying habits, needs, preferences, and tastes.<\/p>\n

Segmenting users into age groups can help you tailor marketing messaging and in-app experiences.<\/p>\n

For instance, a B2C platform like TikTok, with a predominantly Gen Z user base, will create ad marketing campaigns targeting 15 to 25-year-olds. Similarly, in-app gamification<\/a> can be an excellent way to boost engagement among younger age groups.<\/p>\n

Customer segmentation example 2: Gender-based<\/strong><\/h3>\n

Sex or gender-based segmentation is another typical example of demographic segmentation<\/a>. Dividing users into different groups based on their gender can provide you with deeper insights into their behavior and purchase habits.<\/p>\n

Let\u2019s say you\u2019ve launched an online apparel store. You can group users based on their gender and target each segment with personalized clothing recommendations. Better still, you can customize on-screen elements, such as the color palette and page microcopy, so that they resonate better with each gender.<\/p>\n

Customer segmentation example 3: Occupation<\/strong><\/h3>\n

Segmenting customers based on their occupation helps you dive deeper into their income and purchase habits. You can also gain insights into when they\u2019re more likely to use your product and why.<\/p>\n

Take LinkedIn, for example. The user base comprises different professionals, including recruiters, sales managers, and marketers. Knowing how each customer segment navigates the platform helps deliver targeted ads and content recommendations, which in turn boosts engagement<\/a>.<\/p>\n

Customer segmentation example 4: Location<\/strong><\/h3>\n

Location-based segmentation involves dividing customers into different groups based on where they live. It\u2019s a valuable tool for products with an international user base, as it helps you customize the user experience for each country. Even if you have a domestic user base, you can create localized experiences<\/a> for users in different regions.<\/p>\n

\"Geographical-segmentation\"<\/picture>
Segmenting by location in Userpilot<\/a>.<\/figcaption><\/figure>\n

Customer segmentation example 5: Preferred language<\/strong><\/h3>\n

Language-based segmentation can be as straightforward as grouping users according to their spoken languages. Alternatively, you can segment users<\/a> based on their preferred linguistic style and tone.<\/p>\n

Let\u2019s say you\u2019re building a graphic design tool<\/a> that caters to folks all around the globe. You can tailor the languages for each region like French for France and German for Germany. Offer variations in English as well, such as British and American English.<\/p>\n

Customer segmentation example 6: Industry<\/strong><\/h3>\n

This comes in handy for B2B businesses. Let\u2019s say you\u2019ve built a CRM platform that caters to businesses in different industries, such as finance, insurance, and real estate. The needs of a sales<\/a> rep in an insurance firm will be different from those of a sales rep working for a real estate broker.<\/p>\n

Industry-based segmentation can help you recommend relevant features and support resources to each user group. It will eliminate friction<\/a> from their journey and help them generate maximum value from your product.<\/p>\n

Customer segmentation example 7: Company revenue per year<\/strong><\/h3>\n

Annual revenue is a segmentation criterion used in firmographic segmentation. Segmenting user accounts based on revenue offers insights into the scale and size of their business. It can help you understand their needs<\/a> better and come up with more tailored product offerings and pricing.<\/p>\n

This type of segmentation is helpful for B2B products that cater to different types of clients, from small home-based businesses to corporations.<\/p>\n

Customer segmentation example 8: Company size<\/strong><\/h3>\n

Here, you group users based on the number of employees in their company. This is usually helpful when you want to personalize your product based on the user\u2019s company scale. Startups will have vastly different needs compared to enterprise businesses, for instance.<\/p>\n

You can also customize your pricing based on company size to better cater to a user\u2019s needs.<\/p>\n

\"Company-segmentation\"<\/picture>
Segmenting by company size in Userpilot<\/a>.<\/figcaption><\/figure>\n

Customer segmentation example 9: Growth stage<\/strong><\/h3>\n

If your product caters to B2B users<\/a>, it\u2019s crucial to understand where each user\u2019s company stands in terms of growth stage. This type of firmographic segmentation involves dividing users into different groups such as solopreneurs, startups, and enterprises.<\/p>\n

Monitoring and analyzing product usage for each segment will give you a better idea of their needs and in-app behavior<\/a>. You can use that data to create personalized onboarding experiences<\/a> for different groups.<\/p>\n

Let\u2019s go back to the example of a CRM solution. A solopreneur would only be interested in storing and organizing customer data. Overwhelming them with advanced features like sales and service could result in friction<\/a>. Growth stage-based segmentation can help you highlight the right features for each user, ultimately enhancing their experience.<\/p>\n

Customer segmentation example 10: Device type<\/strong><\/h3>\n

This is a type of segmentation where you group customers based on the type of device they\u2019re using. For instance, you can divide them into desktop and mobile users or Android and iOS users.<\/p>\n

Knowing what device each segment uses can help product teams optimize UI design<\/a>. For instance, if you\u2019ve launched an online news app, you can tailor the font size, color palette, and layout of your content for different device types. This will ensure a seamless experience regardless of the device used.<\/p>\n

Customer segmentation example 11: Existing tech stack<\/strong><\/h3>\n

With this type of segmentation, you group users based on the technology they use, such as devices or software. This can help them have a smoother experience with your app.<\/p>\n

Here\u2019s an example. Let\u2019s say your product is a digital adoption<\/a> platform. When a new user logs in, you can launch a welcome survey inquiring about the CRM software and analytics tools they\u2019re currently using.<\/p>\n

You can then divide your user base into different customer segments based on the CRM software they\u2019re using. Next, you can guide each segment to relevant support resources<\/a> that outline steps to connect their CRM with your platform. Alternatively, you can use tooltips<\/a> to highlight features on your platform that can help them use their CRM data better.<\/p>\n

Customer segmentation example 12: Customer pain points<\/strong><\/h3>\n

Pain points<\/a> are a widely used criterion for needs-based segmentation. This type of segmentation involves grouping users based on their challenges. Then, you can recommend the right features, knowledge base articles, and other resources to help them derive maximum value from your product.<\/p>\n

Customer segmentation example 13: Use cases<\/strong><\/h3>\n

This type of segmentation groups users based on why they\u2019re using your product. It can help you design tailored in-app experiences to guide users to the Aha! moment<\/a> faster.<\/p>\n

For instance, let\u2019s say you\u2019ve built an AI writing tool. Your customer base will likely comprise people who use the tool for copywriting, long-form content writing, and scriptwriting.<\/p>\n

Segmentation based on these use cases allows you to provide each user with contextual guidance<\/a>. Instead of overwhelming them with unnecessary features, you can gently direct them to the right features and resources that help them get their job done fast.<\/p>\n

Customer segmentation example 14: Customer journey stage<\/strong><\/h3>\n

In this type of segmentation, you group users based on where they\u2019re located in the customer journey. It helps you develop more personalized marketing messaging<\/a> that resonates with each segment.<\/p>\n

For instance, you can divide users based on whether they are first-time visitors, new customers, or repeat customers<\/a>. Many apps use this segmentation type to personalize in-app experiences based on a user\u2019s eagerness to purchase.<\/p>\n

Monitoring the behavior of users in different stages of their journey can also help you understand why many of them drop off<\/a> at specific steps and then work to fix the problems accordingly.<\/p>\n

Customer segmentation example 15: Usage patterns and behavior<\/strong><\/h3>\n

This segmentation type divides customers into groups based on their product usage patterns. SaaS companies have several uses for this, such as analyzing and improving feature adoption<\/a> or understanding user preferences.<\/p>\n

Here\u2019s an example. You can segment users by whether they\u2019ve tried a new feature or not. In the first segment, you can launch a survey asking about their experience and feedback. For the second one, you can create an interactive walkthrough<\/a> that helps them understand how to use the new feature.<\/p>\n

Customer segmentation example 16: Pricing tier and value-based segmentation<\/strong><\/h3>\n

It involves dividing your user base based on their selected pricing tier. Let\u2019s say your product comes with three pricing plans\u2014free, growth, and enterprise. Segmenting users based on their selected plan offers insights into how much revenue you can generate from each account. Also, you can devise ways to maximize customer lifetime value<\/a> with targeted upsells and upgrade recommendations.<\/p>\n

Customer segmentation example 17: Satisfaction scores<\/strong><\/h3>\n

Segmenting users based on satisfaction scores<\/a> provides you with a closer look at overall user sentiment<\/a> around your product. Also, you can identify users who are happy with your product and monitor their behavior through analytics reports like path analysis.<\/p>\n

It\u2019ll help you understand how happy users<\/a> interact with your product and the paths they take to reach certain features. This data can come in handy for eliminating friction from the user journey.<\/picture>\n

Customer segmentation example 18: Values<\/strong><\/h3>\n

Value-based segmentation involves grouping customers based on their values. It can help you understand what motivates users to behave in certain ways<\/a> so you can improve your messaging and build meaningful user relationships.<\/p>\n

Let\u2019s take the example of a grocery delivery app. If a segment in your user base values sustainability, you can send them personalized push notifications or newsletters to showcase your efforts to minimize carbon emissions. Also, you can create tooltips<\/a> within your app to show users how they can minimize their carbon footprint (such as opting to get the order without a plastic packet).<\/p>\n

Customer segmentation example 19: Interests<\/strong><\/h3>\n

You can also create user groups based on common interests. This comes in handy for delighting users with personalized<\/a> content recommendations, such as on video streaming websites. Alternatively, a food delivery app can use interest-based segmentation to personalize restaurant recommendations for each segment.<\/p>\n

How to perform customer segmentation analysis<\/strong><\/h2>\n

Now that you\u2019ve learned about some of the best customer segmentation examples, let\u2019s find out how you can perform a segmentation analysis to put them into practice.<\/p>\n

Seeing these examples is just the beginning. To turn these ideas into a functioning system, you should follow a structured customer segmentation strategy. Once your strategy is set, you can use Userpilot<\/a> to build these specific examples by filtering by user properties, tracking custom events, and analyzing trends.<\/p>\n

1. Define your segmentation goals<\/h3>\n

The first step is to understand why you want to segment your user base using the examples above. Do you want to maximize the adoption of a new feature? Or maybe you want to improve customer satisfaction and loyalty. Knowing the answers to these questions will help you select the right segmentation model and criteria.<\/p>\n

2. Collect customer data to segment customers<\/h3>\n

The next step is to collect in-depth customer data relevant to your chosen example. Here are a few ways to do that:<\/p>\n