With B2Metric's Customer Segmentation Solution, businesses can gain a comprehensive understanding of their customers, leading to tailored marketing strategies and an improved customer experience.

Ebru Şevik
9 Minute Read
Customer Segmentation
Return of Investment
Customer Micro Segmentation

Customer segmentation involves categorizing customers based on shared characteristics, allowing businesses to tailor marketing efforts, identify high-value customers, and foster customer loyalty.


As understanding customers is paramount in marketing, gaining insights into their needs, desires, and behaviors enables businesses to develop effective marketing strategies. Customer segmentation plays a crucial role in enhancing this understanding and gaining deeper insights into customer behaviors and preferences. By utilizing customer segmentation, businesses can optimize their marketing plans and create personalized experiences that resonate with their target audience.




  • Types of Segmentation : Different Approaches Used in Marketing


Customer segmentation can be a key element of the success of businesses that take a customer-centric approach. By segmenting based on customers' unique needs and characteristics, marketers get better targeting, customization, and communication. Here are the different types of segmentation commonly used in marketing.


1. Demographic Segmentation:


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Demographic segmentation enables customers to be segmented based on their demographic characteristics such as age, gender, income level, education level, and marital status. For example, demographic segments such as middle-aged women or high-income families can be created.




2. Psychographic Segmentation:


Psychographic segmentation allows customers to be segmented according to their psychological and social characteristics. Factors such as lifestyles, values, interests, and attitudes can be used for psychographic segmentation. For example, psychographic segments can be created, such as football enthusiasts, frugal consumers, or those interested in luxury goods.



3. Behavioral Segmentation:

Behavioral segmentation allows customers to be segmented based on their purchasing behavior and factors such as brand loyalty, frequency of purchases, and propensity to switch between product categories. For example, behavioral segments can be created, such as loyal customers, discount hunters, or opportunistic buyers with low brand loyalty.



4. Geographical Segmentation:

Geo-segmentation allows customers to segment based on their geographic location such as country, region, city, or neighborhood.


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5. Segmentation of Value (Value Segmentation)

Consider this segmentation to be a hybrid of the previous ones, with the addition of financial inputs and outputs. Customer-based RFM analysis is also an option. The six processes outlined below can be used to achieve value segmentation.


  • Creating segment criteria in their most basic form. Demographic segmentation rules can be applied here.
  • Defining the value created in you by the consumer in exchange for the goods or service. What exactly does the goal value represent?
  • Identifying and categorizing metrics for assessing value on a customer basis
  • By mixing these tags with additional segmentations, you can generate new scores.
  • Using tags and scores to create value segmentation. Customers can be assigned to different clusters by assigning weights to the label scores.
  • Testing the outputs.




  • What is RFM (recency, frequency, monetary) analysis?


RFM analysis is a popular segmentation technique that studies data-driven customer behavior. RFM rank and group customers based on the recency, frequency, and monetary total of their recent transactions to identify the best customers and perform targeted marketing campaigns. According to this analysis, a classification is made and special marketing strategies can be developed by looking at the classifications.


How recent was the customer's last purchase? Customers who recently made a purchase will still have the product on their minds and are more likely to purchase or use the product again. Businesses often measure recency in days. But, depending on the product, they may measure it in years, weeks, or even hours.



How often did this customer purchase in a given period? Customers who purchased once are often more likely to purchase again. Additionally, first-time customers may be good targets for follow-up advertising to convert them into more frequent customers.



How much money did the customer spend in a given period? Customers who spend a lot of money are more likely to spend money in the future and have a high value to a business.


RFM analysis numerically ranks a customer in each of these three categories, usually on a scale of 1 to 5 (The higher the number, the better the result). The “best” customer gets the highest score in each category (555).




  • The Benefits of Customer Segmentation

While the marketing world is getting more competitive day by day, customer segmentation is getting more and more important. Understanding customers better, focusing on their needs, and creating targeted marketing strategies enable companies to obtain an advantage over competitors. Here are the key benefits of customer segmentation to marketing strategies:



1. Better Customer Understanding and Targeting:

Customer segmentation allows companies to analyze customers in more detail. In this way, you can better understand the demographic, psychographic, and behavioral characteristics of customers in different segments. This information guides you through marketing communication and product/service development processes. In addition, by focusing on segments, you can more effectively identify your target audience and correctly direct your marketing resources.



2. Customized Marketing Strategies:

Customer segmentation allows you to create specific marketing strategies for each segment. You can offer product/service recommendations, organize promotions and personalize communication content according to the unique needs and preferences of each segment. By offering your customers more relevant and interesting offers, you can increase sales, increase customer satisfaction, and improve brand loyalty.



3. Higher Customer Satisfaction and Loyalty:

Customer segmentation makes it possible to provide better service and experience to customers. Marketing strategies that better respond to customers' needs, understand them and consider their priorities increase customer satisfaction. Satisfied customers have a high level of loyalty and tend to make repeat purchases. Loyal customers can also do positive word of mouth and help win new customers.



4. Efficient Use of Marketing Budget:

Customer segmentation allows businesses to use their marketing budgets more efficiently. Segmentation, which enables the best use of marketing resources by identifying different customer groups, enables you to make the right decisions by focusing on the target audience. Identifying customer segments enables more effective targeting of marketing campaigns and allows for special offers and messages to engage customers. This prevents waste of marketing budget, while increasing conversion rates, resulting in better results. Customer segmentation enables you to strategically manage your marketing budget and gain a competitive advantage by delivering the right message to the right audience.



5. Gaining Competitive Advantage:

Customer segmentation enables businesses to gain a competitive advantage in the market. Understanding the unique needs and preferences of different customer groups enables businesses to gain an advantage in the competitive market by creating product offers specific to these groups.



To summarize, customer segmentation helps marketers find answers to the following questions:

  • Who are your best customers?
  • Which of your customers could contribute to your churn rate?
  • Who has the potential to become valuable customers?
  • Which of your customers can be retained?
  • Which of your customers are most likely to respond to engagement campaigns?



  • How B2Metric Customer Segmentation Solution Works


B2Metric is a company that provides customer journey analytics solutions using advanced data analytics and artificial intelligence techniques. Customer segmentation allows a business to divide its customer base into different groups, allowing it to more effectively guide its marketing strategies and business decisions.

The B2Metric customer segmentation solution allows businesses to analyze large amounts of data and segment their customers based on specific characteristics. This segmentation offers many benefits, such as better targeting, marketing personalization, and providing a customer experience.


The B2Metric customer segmentation solution typically includes the following steps:


1. Data Collection:
The first step involves the business collecting data about its customers. This data can be collected from the customer base the business has or from different sources. For example, data such as demographic information (age, gender, income level, etc.), purchase history, website browsing behavior, and social media interactions may be collected.



2. Data Pre-Processing:
The collected data goes through some steps that need to be prepared for analysis. These preprocessing steps include cleaning redundant data, completing missing data, and editing the dataset. Consistency and meaningfulness of data are important to obtain accurate results.



3. Feature Selection:
It is necessary to determine the important features to be used in customer segmentation. At this stage, it is determined which features to consider, depending on the goals of the business and the segments it wants to analyze. For example, features such as demographics, purchasing habits, and website interactions can be considered.



4. Creating Segmentation Model:
B2Metric customer segmentation solution uses machine learning and data analytics techniques at this stage. Data is fed into the segmentation model and the model analyzes this data to segment customers into different groups. The model groups customers with similar characteristics or behaviors into the same segment using algorithms and statistical techniques.



5. Analysis of Created Segments:
It is important to analyze the created segments and to name them meaningfully. Businesses can perform statistical analysis to better understand the characteristics of each segment. For example, they might examine each segment's age distribution, income level, or purchasing habits. These analyses provide valuable information to better understand the identity and needs of each segment.



All in all, the B2Metric Customer Segmentation Solution provides businesses with an essential tool to better understand their customers, customize their marketing strategy, and improve the customer experience. Accurate and effective segmentation can help businesses stay ahead of the competition and help them adopt a customer-focused approach.



Customer segmentation is an effective approach that allows businesses to cater to the unique needs of their customers, customize marketing strategies, and achieve optimal outcomes. Given its significance, integrating customer segmentation into core business strategies is crucial for success. In this article, we've covered what customer segmentation is, why it's important, and the different types of segmentation and its applications. We also examined how customer evaluation is done with RFM analysis and the benefits of customer segmentation to businesses. Leveraging advanced solutions like B2Metric can further enhance your understanding of customers, streamline marketing activities, and gain a competitive edge in the market.



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