Customer Segmentation Examples to Grow Your Business

In the fast-growing digital marketing landscape, many businesses are struggling to nail their marketing goals. Despite aggressive marketing campaigns backed by heavy budgets, many marketers still report lower-than-expected ROIs.

How does this come about?

Well, the truth is that a lot of marketing campaigns yield nothing more than attractive vanity metrics, without enough conversions or sales. Customers, on the other hand, are bombarded with tonnes of irrelevant ads and messages that don’t spark their interest.

Many marketers are stuck in the endless cycle of trying to figure out what works and what doesn’t. If this is you and you’re looking for a way to supercharge your marketing campaigns, customer segmentation could be the solution you need. Customer segmentation can help you filter through the fluff and target your prospective customers only, improving your chances of success.

This blog post will explore some customer segmentation examples in detail, discuss their benefits, and show you how you can implement a successful customer segmentation strategy. Let’s dive in.

What Is Customer Segmentation?

Customer segmentation is the process of dividing prospective buyers into different groups based on their shared characteristics.

Customer segmentation can help you to better understand the unique needs and preferences of different groups of customers. This way, you can tailor your marketing messages to resonate with different segments of the target market.

Through customer segmentation, it’s easier to predict the best audience, channels, time, and type of content for your campaigns. Providing a more personalized experience that better addresses your customers’ pain points will improve your conversions, boost sales, and reinforce your brand authority.

The concept was first introduced by Wendell R. Smith back in 1950. In his journal, Product Differentiation and Market Segmentation as Alternative Marketing Strategies, Smith argued that businesses can gain more value from their marketing efforts if they target customer segments rather than the whole customer base.

Since then, customer segmentation has evolved to become a widely accepted strategy in the marketing toolkit. With the digital revolution, advanced analytic tools are transforming how business segment customers and craft personalized marketing messages, and the results are amazing.

Here are some statistics associated with customer segmentation:

• 98% of customers say they are more likely to buy from brands that offer personalized recommendations to them. (Source: Accenture, 2018)
• 75% of consumers are more likely to purchase from a business that recognizes them by name, recommends options based on past buys, or knows their purchase history. (Source: Accenture, 2016)
• 81% of consumers want brands to get to know them and understand when to approach them and when not to. (Source: Martech, 2018)
• 93% of businesses with an advanced personalization strategy experienced revenue growth. (Source: Monetate, 2018)

These statistics demonstrate the value of customer segmentation in supercharging marketing campaigns.

Let’s explore some of the most popular customer segmentation examples.

Customer Segmentation Examples Within Different Models

There are 8 common customer segmentation models. Customer segmentation models are the criteria used to divide customers into different groups. Different customer segmentation examples fall within these models.

Before we delve into the examples, let’s first mention that there’s no single customer segmentation model that works for every business. While one type of customer segmentation model may work for a business, another business may require a different type or a combination of two or more.

Here are the most popular customer segmentation examples within different models.

1. Demographic Segmentation

Demographics are broad statistics that describe people and their characteristics. Demographic segmentation involves splitting up customers based on observable features such as age, sex, occupation, marital status, income, educational levels, ethnicity, etc.

Demographic segmentation is the most common segmentation strategy because demographic data is relatively easy to collect and costs less to obtain. Also, this type of clustering is at the basic level of market segmentation.

Every business must understand the demographics of their potential customers before introducing a new product or service to the market. Targeting the right demographic is a good initial step in attracting the right customers to the business’s products.

Examples of demographic customer segmentation include:

• Age-based: Young and middle age adults are more likely to purchase gym and fitness products, while senior citizens require medical equipments and services more than fitness products.
• Sex-based: A company producing baby products is more likely to target mothers than fathers, despite both being parents. Mothers are more likely to be involved in baby care.
• Occupation-based: Real estate companies and car dealerships are likely to segment and target customers within the formal employment sector, with specific job titles. These customers are better placed to access loans for purchasing high-value assets.
• Education level-based: A company selling professional online courses is likely to target customers who have attained at least a high school level of education.
• Race/Ethnicity-based: A hair care brand may target only black customers if their products suit the hair type and style of this race.

Different groups of customers within a specific demographic may have different needs. For instance, a company producing skin care products serves both male and female customers within a similar age group. However, the company must employ specific approaches to market to these different user segments.

2. Behavioral Segmentation

Behavioral segmentation groups consumers based on observable behavior patterns.

Customer behavior includes traits like their knowledge of, attitude towards, use of, purchase frequency, or response towards a particular service, promotion, or brand.

Examples of behavioral segmentation include:

• Behavioral-based: Companies in the health and fitness industry are more likely to target people who go to the gym regularly or participate in online fitness classes.
• Loyalty-based: Customers who are loyal to a particular brand may receive special offers, rewards, or other incentives.
• Usage-rate based: A hotel booking company may reward customers who frequently book their hotels with attractive offers compared to those who book less frequently.
• Price-based: Airline companies may offer lower prices for customers who book early compared to those who book last minute. Generally, customers who book early are more price sensitive.

All in all, having the correct insight into your prospective customers’ behavior will help you predict their needs and develop a more effective marketing strategy.

3. Geographic Segmentation

Geographic segmentation refers to splitting up your customers based on their location.

This can either be their place of residence, their current location, or places they go to frequently. There are several elements to consider when conducting geographic segmentation.

Geographic customer segmentation examples include:

• Country-based: A company selling winter sports equipment may market to different countries at different times of the year based on the prevailing weather conditions.
• Region-based: A restaurant franchise offers different menus in different regions based on the specific customer preferences within each region.
• Language-based: A multinational software company will segment users based on their local language.
• Neighborhood-based: A food delivery company is more likely to target densely-populated urban and suburban neighborhoods than rural areas.

Depending on your product, knowing the location, region, or type of environment your customers live in will help you target them better.

4. Psychographic Segmentation

Psychographic segmentation is a little similar to demographic segmentation, but it deals with characteristics that are more mental or emotional.

Psychographic segmentation helps companies understand their customers’ intrinsic needs and preferences, beyond the surface-level characteristics that define most marketing campaigns.

While psychographic data is more difficult to collect and easy to ignore, targeting a specific market with these needs can play a huge role, especially in product differentiation.

Examples of psychographic customer segmentation are:

• Value-based: A sustainable brand may target environmentally conscious customers whose values align with the cause, using search engines and social media to identify them.
• Interest-based: A travel company may appeal to adventure lovers by crafting their marketing messages to reflect a sense of thrill and excitement.
• Personality-based: Luxury fashion brands target customers with both a high income and the taste, exclusivity, and need for prestige.
• Attitude-based: A fitness company may target customers who have a positive attitude towards health and wellness by emphasizing the health benefits of their product.

Psychographic segmentation is a powerful strategy for product differentiation and for fostering brand loyalty. Many customers appreciate brands that try to connect with their intrinsic values and interests.

5. RFM Segmentation

RFM segmentation groups customers based on their purchase behaviors. RFM stands for Recency, Frequency, and Monetary value.

Let’s look at these in more detail:

• Recency: Recency measures how recently a customer made a particular purchase. Those who made a purchase recently are more valuable than those that did in the past.
• Frequency: This measures how often a customer makes a purchase. Customers who purchase more frequently are considered more valuable.
• Monetary value: This measures how much a customer spends on purchases. Customers who spend more are more valuable.

Customers can be allocated scores based on the RFM criteria, then grouped according to their scores. For example, customers with the highest scores can be considered “VIP clients” and offered special rewards or discounts to boost their satisfaction.

On the other hand, customers with lower scores may be re-targeted with ads or incentives to encourage them to make a different purchase.

6. Needs-Based Segmentation

Needs-based segmentation groups customers based on their unique needs and desires. This model assumes that different groups of customers have different requirements for a particular type of product, whether it’s from the same business or multiple competing businesses.

Marketers can take advantage of these unique customer needs to develop and target specific segments with tailored marketing messages and products. Customer needs can either be functional, emotional, social, or economical.

Nike is one company that has excelled in needs-based segmentation. Nike sells a variety of footwear suited for different groups of needs. One segment might focus on functional needs like comfort and durability for running marathons, while another segment might prioritize style, trends, and aesthetics for fashion-forward customers.

7. Technographic Segmentation

Technographic segmentation refers to dividing your customers based on the technology, or groups of technology, that they use.

This type of segmentation considers the types of devices customers use, their software, apps, level of technology adoption, and their mastery of the tech.

Technographic segmentation is especially important in industries such as hardware, software, and telecommunications. Product offerings within these industries must consider their customers’ technology preferences and level of adoption.

An example of technographic segmentation is when a company that sells marketing automation tools targets a business that’s already using HubSpot or Salesforce, two popular CRM tools.

8. Firmographic Segmentation

Firmographic segmentation is unique in this list given that it only applies to B2B companies. Firmographics refer to the attributes of a given firm, company, or organization.

Firmographics include aspects like company size, industry sector, number of employees, revenue, ownership structure, etc. To B2B companies, firmographic data is what demographic data is to B2C companies.

Firmographic data is useful in narrowing down the correct customer profile. This data can be combined with other types of market segmentation for the best results.

5 Benefits of Customer Segmentation

We are living in an era where millennials and Gen Z make up a huge portion of the customer base. These groups have different and more diverse needs than the previous generations, and customer segmentation is one of the best ways to address these needs.

There are many benefits of using customer segmentation to define your marketing strategies. Let’s look at a few.

1. Increased sales and revenue

The main aim of customer segmentation as part of a broader marketing strategy is to increase conversions, drive sales, and maximize ROI.

Through segmentation, businesses stand a higher chance of attracting new customers, increasing conversions, retaining current customers, and fostering customer loyalty.

2. Improved Understanding of Customers

Every business needs to understand its customers far beyond the initial market research prior to product development. The immediate benefit derived from improved customer understanding is a more personalized and targeted marketing campaign.

In addition to that, your business stands to benefit way beyond any marketing-related goals. You might have found the perfect product-market fit, but customer needs are complex, diverse, and will always evolve.

The insights derived from customer segmentation can help you modify, improve, or even change your product along the way. Businesses that are constantly trying to understand their customers’ needs register a better customer retention rate compared to those that don’t.

3. Enhanced Customer Experience

Customer segmentation helps you personalize your product and product messaging to the needs of your prospective customers. This will enhance customer experience and build customer loyalty.

Improved customer experience will lead to customer satisfaction, and who knows, in the long run, your product might enjoy some free word-of-mouth marketing from your loyal customers.

4. Better Resource Allocation

By focusing your marketing resources on your most valuable customer segments, you’re able to optimize your marketing budget and enjoy the highest ROI possible.

Customer segmentation helps you identify the right customers to target, the correct marketing strategies to employ, and the best marketing channels to use.

5. Better Price Optimization

Every business needs to consider the income levels and price sensitivity of their customers before marketing to them. The more your product falls within your customer’s budget, the better your chances of making a purchase.

Customer segmentation helps you group customers based on their price preferences, ensuring you only market to those who can afford to purchase your product.

How to Implement a Customer Segmentation Strategy

Now that you understand the value of customer segmentation, how can you go about implementing an effective customer segmentation strategy?

Here, we’ll outline a step-by-step approach you can take to implement your customer segmentation strategy.

1. Define Your Marketing Objectives

Before you get started with customer segmentation, it’s important to define your marketing goals. Having well defined objectives makes it easy to measure your progress and stay on track. This will set a good foundation for your strategy and improve your chances of meeting your marketing goals.

So, what are you trying to achieve with segmentation?

Do you want to increase brand awareness, boost conversion rates, improve customer satisfaction, or increase sales?

When setting your goals, always try to ensure that they meet the SMART criteria. SMART goals are Specific, Measurable, Achievable, Relevant, and Time-bound. SMART goals will give your strategy a sense of direction and help you optimize your resources, including time.

2. Collect Customer Data

Once you have your objectives figured out, the next step is to collect data. While some customer data is readily available, other types of data need more time and resources to collect. It’s better to collect as much information as possible, but ensure you prioritize the information you need to create a useful segment.

Customer data is everywhere, and it might be challenging to group and generate useful insights from the vast pool of data. Customer Relationship Management(CRM) and marketing automation tools can streamline the process and help you make sense of the data.

These tools gather data from multiple sources and provide a unified database, combining both sales and marketing data. This way, you can map out individual customer behavior including the acquisition channels, customer journey, and customer lifetime value.

3. Analyze Customer Data

To create a valuable customer segment, you need to identify specific patterns in customer data. Data analysis takes into account the similarities and differences within specific data sets.

For example, you may notice that Product X is more popular within a certain age group, which uses a particular social media channel, and makes purchases during a specific time of the month or year. This information is enough to create a buyer persona and dig deeper into understanding the unique pain points and character of this persona.

4. Create Customer Segments

Consider the example of Product X highlighted above. Based on the insights obtained from the data analysis, you can create a user segment taking into account the age, gender, location, social media preference, and buying habits of the persona.

Different customer segments may have similar features, so it’s important to understand the defining characteristics that stand out the most. This will go a long way in helping you decide the best digital marketing channels to use and how to craft your marketing message.

5. Develop Targeted Marketing Strategies

With your customer segments in place, you can proceed to craft suitable marketing strategies to target them. Targeted marketing campaigns will provide a more personalized approach and boost conversion rates.

For instance, you can develop a focused email marketing campaign that targets a specific customer segment. According to a study by MailChimp, customer segmentation increased email open rates by 14.31% and click rates by 100.95%.

Here are a few ways you can develop a more personalized marketing campaign:

• Make a connection with your target audience.
• Craft your message based on the customer’s situation, and how your product can help.
• Deliver content and experiences that inspire and generate engagement.
• Lean on the audience persona to direct your creativity.
• Include your purpose, mission, or vision in your marketing messages.

Remember, the goal of developing a targeted campaign is to connect with the customer. Therefore, ensure the customer remains the focus of your brand messaging and product positioning. A single product may have many use cases, but focus on the most important use case for each segment.

6. Test and Refine

Let’s face it; even with the most advanced data and tools, marketing is still a trial-and-error undertaking. Besides, customer needs keep evolving, competition keeps rising, and new marketing channels and preferences develop over time.

Always ensure you test your strategy over time and adjust it accordingly. For instance, you can test which marketing channels or promotions are bringing in the most leads and allocate more resources to these channels. You may also stumble on new opportunities along the way and refine your whole approach or product.

Work With An Experienced Team to Nail Your Customer Segmentation Strategy

Customer segmentation can supercharge your marketing efforts. Effective customer segmentation helps you understand your customer’s needs, boost sales, improve customer satisfaction, and foster customer loyalty.

However, the process of customer segmentation, from strategy to implementation, can be pretty involving, especially if you are a small business without an in-house marketing team.