B2B Customer Segmentation: 4 Key Data Points to Get You Started

1. Introduction to B2B customer segmentation

B2B customer segmentation is a crucial aspect for any business whose primary customer is other companies and organizations. Customer segmentation helps companies put their customers at the center of their business. 

How? Through this practice, the company can better understand the problems and needs of different customer segments so it can better meet each segment’s unique demands. With customer segmentation, marketing and sales teams can create more effective campaigns, improve their customers' experience, and grow in their respective markets.

With this article, you'll get a clear overview of how to segment your customers, what strategies are most effective, and what data you can use to optimize your B2B customer segmentation.

2. What is B2B customer segmentation?

B2B customer segmentation refers to the process of dividing customers for B2B (business-to-business) companies into different groups or categories according to common elements that distinguish them.

Simple B2B customer segmentation requires the collection and analysis of customer demographics, behavior, needs, and preferences. Through the use of this information, customer groups can be identified that will become specific segments.

3. Why do B2B companies need customer segmentation?

B2B companies need customer segmentation for several reasons:

  • More effective marketing
    • Improved campaigns: Segmenting customers allows B2B companies to tailor marketing messages to specific groups. This personalized approach is more likely to attract target audiences, increasing engagement and conversion rates.
    • Higher conversion rates: Tailoring sales pitches to the specific needs and pain points of each segment can lead to higher conversion rates and more effective sales processes.
  • Improved sales strategies
    • Customized sales approaches: Different segments may require different sales tactics. For example, a large corporation may need a consultative and detailed sales approach, while a startup may prefer a faster and more direct transition.
  • Strategic decisions
    • Market analysis: Segmentation provides insights into market structure, helping companies identify opportunities and threats in different segments.
    • Product development: Understanding the specific needs of each segment can guide new product development or modification of existing products to better meet market demands.
  • Resource optimization
    • Operational efficiency: By focusing on specific segments, companies can optimize their operations to better serve those segments, resulting in more efficient use of resources.
    • Cost management: Segmentation can help identify less profitable segments that may not be worth the investment, allowing companies to allocate resources more effectively.

4. What are the best strategies for B2B customer segmentation?


There are several strategies that companies can follow to have successful B2B customer segmentation. Some of these are:

4.1 Identify Clear and Specific Goals and Objectives

Before starting the customer segmentation process, it is important to identify what you hope to achieve through customer segmentation and how it can help the company. For example, the goal may be to increase sales in a particular market segment or to improve customer loyalty.

4.2 Use a Variety of Data Sources and Methods

To create accurate and reliable segments, it is important to collect customer data from a variety of sources and use a variety of methods. This can include the use of:

  • Customer surveys: To get direct feedback on needs and preferences.
  • Focus groups: To delve deeper into customer perceptions and experiences.
  • Behavioral data analysis: Data from the website, social media channels, and other digital sources.

4.3 Choosing the Right Segmentation Criteria

The criteria to be used to segment customers depend on the specific goals and objectives as well as the characteristics of the customer base. It is important to choose criteria that are relevant, meaningful, and actionable. Some common criteria include:

  • Firmographic data: Company size, industry, revenue.
  • Psychographic data: Specific customer needs, problems to be solved, benefits sought.
  • Behavior data: Frequency of purchases, brand loyalty, order volume.

4.4 Test and Refine Segments

Once initial customer segments have been created, it is important to test and refine them to ensure they are accurate and effective. This may involve:

  • Further research and analysis: Collecting additional data to confirm the segments.
  • Customer feedback: Using direct feedback to refine the segments.
  • Stakeholder engagement: Collaborating with other business departments to make sure the segments are useful and usable.

4.5 Using Segmentation for Marketing and Sales

Once customer segments have been identified and defined, it is important to use this information to guide marketing and sales activities. This can include:

  • Tailored marketing campaigns: Creating specific campaigns for each segment, with customized messages and offers.
  • Personalization of interactions: Using segmentation data to personalize communications and interactions with customers, enhancing their experiences with your brand.

5. How to do data-driven B2B customer segmentation?

B2B customer segmentation is usually based on 4 factors: firmographic segmentation, behavioral segmentation, technographic segmentation, and needs-based segmentation. Though there are other ways or other combinations of data that can be used for B2B customer segmentation, ere we’ll focus on these 4 main data categories that each enable a different kind of customer segmentation:

5.1 Firmographic segmentation

Firmographic segmentation divides the market based on company variables such as company size, industry sector, turnover, number of employees, and geographic location. The advantage of this segmentation concerns ease of data retrieval and direct segmentation.

Examples of Firmographic segmentation

Firm Size: Number of employees, annual sales.

Industry Sector: Manufacturing, technology, health care, financial services.

Geographic Location: Country, region, city.

Business Structure: Type of company (private, public, startup).

Life Cycle Stage: Startup, established companies.

5.2. Behavioral segmentation

Behavioral segmentation divides the market based on customer behavior, such as buying habits, brand loyalty, frequency of product use, and benefits sought. This type of segmentation allows you to target specific customer actions and improve the customer experience.

Examples of Behavioral Segmentation

Buying Habits: Customers who purchase frequently, occasionally, or seasonally.

Brand Loyalty: Loyal customers, customers who switch between brands.

Frequency of Product Use: Intensive users, occasional users.

Benefits Sought: Customers looking for quality, affordable price, convenience, or innovation.

5.3 Technographic Segmentation

Technographic segmentation divides the market based on the technologies used by customers, such as hardware, software, platforms, and IT infrastructure. This type of segmentation helps to understand customers' technology needs and provide more suitable solutions.

Examples of Technographic Segmentation

Type of Hardware: Use of PCs, Macs, mobile devices.

Software Used: Operating systems, specific applications.

Platforms: Use of cloud platforms, on-premises.

IT Infrastructure: Level of adoption of technologies such as IoT, AI, Big Data.

5.4 Needs-Based Segmentation

Needs-based segmentation divides the market based on the specific needs and preferences of customers. This approach makes it possible to develop products and services that exactly meet the needs of different segments.

Examples of Needs-Based Segmentation

Product Quality: Customers looking for high quality and performance.

Price: Price-sensitive customers looking for the best value for money.

Convenience: Customers looking for convenient and easy-to-use solutions.

Support and Services: Customers who require a high level of support and additional services.

Other types of B2B customer segmentation include tier-based segmentation, which divides customers into different tiers or bands based on factors such as their value to the company. Needs-based segmentation is a type of customer segmentation that divides customers into groups based on their needs.

6. How to buy B2B data for customer segmentation?

To buy B2B data for customer segmentation, you can use Datarade Marketplace. Explore a variety of datasets such as:

Looking for data?

Find quality datasets and APIs on Datarade Marketplace

Visit data marketplace ->

Monetize your data!

Publish your data products on Datarade Marketplace and reach +100K users

List your data ->
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B2B Customer Segmentation: 4 Key Data Points to Get You Started

1. Introduction to B2B customer segmentation

B2B customer segmentation is a crucial aspect for any business whose primary customer is other companies and organizations. Customer segmentation helps companies put their customers at the center of their business. 

How? Through this practice, the company can better understand the problems and needs of different customer segments so it can better meet each segment’s unique demands. With customer segmentation, marketing and sales teams can create more effective campaigns, improve their customers' experience, and grow in their respective markets.

With this article, you'll get a clear overview of how to segment your customers, what strategies are most effective, and what data you can use to optimize your B2B customer segmentation.

2. What is B2B customer segmentation?

B2B customer segmentation refers to the process of dividing customers for B2B (business-to-business) companies into different groups or categories according to common elements that distinguish them.

Simple B2B customer segmentation requires the collection and analysis of customer demographics, behavior, needs, and preferences. Through the use of this information, customer groups can be identified that will become specific segments.

3. Why do B2B companies need customer segmentation?

B2B companies need customer segmentation for several reasons:

  • More effective marketing
    • Improved campaigns: Segmenting customers allows B2B companies to tailor marketing messages to specific groups. This personalized approach is more likely to attract target audiences, increasing engagement and conversion rates.
    • Higher conversion rates: Tailoring sales pitches to the specific needs and pain points of each segment can lead to higher conversion rates and more effective sales processes.
  • Improved sales strategies
    • Customized sales approaches: Different segments may require different sales tactics. For example, a large corporation may need a consultative and detailed sales approach, while a startup may prefer a faster and more direct transition.
  • Strategic decisions
    • Market analysis: Segmentation provides insights into market structure, helping companies identify opportunities and threats in different segments.
    • Product development: Understanding the specific needs of each segment can guide new product development or modification of existing products to better meet market demands.
  • Resource optimization
    • Operational efficiency: By focusing on specific segments, companies can optimize their operations to better serve those segments, resulting in more efficient use of resources.
    • Cost management: Segmentation can help identify less profitable segments that may not be worth the investment, allowing companies to allocate resources more effectively.

4. What are the best strategies for B2B customer segmentation?


There are several strategies that companies can follow to have successful B2B customer segmentation. Some of these are:

4.1 Identify Clear and Specific Goals and Objectives

Before starting the customer segmentation process, it is important to identify what you hope to achieve through customer segmentation and how it can help the company. For example, the goal may be to increase sales in a particular market segment or to improve customer loyalty.

4.2 Use a Variety of Data Sources and Methods

To create accurate and reliable segments, it is important to collect customer data from a variety of sources and use a variety of methods. This can include the use of:

  • Customer surveys: To get direct feedback on needs and preferences.
  • Focus groups: To delve deeper into customer perceptions and experiences.
  • Behavioral data analysis: Data from the website, social media channels, and other digital sources.

4.3 Choosing the Right Segmentation Criteria

The criteria to be used to segment customers depend on the specific goals and objectives as well as the characteristics of the customer base. It is important to choose criteria that are relevant, meaningful, and actionable. Some common criteria include:

  • Firmographic data: Company size, industry, revenue.
  • Psychographic data: Specific customer needs, problems to be solved, benefits sought.
  • Behavior data: Frequency of purchases, brand loyalty, order volume.

4.4 Test and Refine Segments

Once initial customer segments have been created, it is important to test and refine them to ensure they are accurate and effective. This may involve:

  • Further research and analysis: Collecting additional data to confirm the segments.
  • Customer feedback: Using direct feedback to refine the segments.
  • Stakeholder engagement: Collaborating with other business departments to make sure the segments are useful and usable.

4.5 Using Segmentation for Marketing and Sales

Once customer segments have been identified and defined, it is important to use this information to guide marketing and sales activities. This can include:

  • Tailored marketing campaigns: Creating specific campaigns for each segment, with customized messages and offers.
  • Personalization of interactions: Using segmentation data to personalize communications and interactions with customers, enhancing their experiences with your brand.

5. How to do data-driven B2B customer segmentation?

B2B customer segmentation is usually based on 4 factors: firmographic segmentation, behavioral segmentation, technographic segmentation, and needs-based segmentation. Though there are other ways or other combinations of data that can be used for B2B customer segmentation, ere we’ll focus on these 4 main data categories that each enable a different kind of customer segmentation:

5.1 Firmographic segmentation

Firmographic segmentation divides the market based on company variables such as company size, industry sector, turnover, number of employees, and geographic location. The advantage of this segmentation concerns ease of data retrieval and direct segmentation.

Examples of Firmographic segmentation

Firm Size: Number of employees, annual sales.

Industry Sector: Manufacturing, technology, health care, financial services.

Geographic Location: Country, region, city.

Business Structure: Type of company (private, public, startup).

Life Cycle Stage: Startup, established companies.

5.2. Behavioral segmentation

Behavioral segmentation divides the market based on customer behavior, such as buying habits, brand loyalty, frequency of product use, and benefits sought. This type of segmentation allows you to target specific customer actions and improve the customer experience.

Examples of Behavioral Segmentation

Buying Habits: Customers who purchase frequently, occasionally, or seasonally.

Brand Loyalty: Loyal customers, customers who switch between brands.

Frequency of Product Use: Intensive users, occasional users.

Benefits Sought: Customers looking for quality, affordable price, convenience, or innovation.

5.3 Technographic Segmentation

Technographic segmentation divides the market based on the technologies used by customers, such as hardware, software, platforms, and IT infrastructure. This type of segmentation helps to understand customers' technology needs and provide more suitable solutions.

Examples of Technographic Segmentation

Type of Hardware: Use of PCs, Macs, mobile devices.

Software Used: Operating systems, specific applications.

Platforms: Use of cloud platforms, on-premises.

IT Infrastructure: Level of adoption of technologies such as IoT, AI, Big Data.

5.4 Needs-Based Segmentation

Needs-based segmentation divides the market based on the specific needs and preferences of customers. This approach makes it possible to develop products and services that exactly meet the needs of different segments.

Examples of Needs-Based Segmentation

Product Quality: Customers looking for high quality and performance.

Price: Price-sensitive customers looking for the best value for money.

Convenience: Customers looking for convenient and easy-to-use solutions.

Support and Services: Customers who require a high level of support and additional services.

Other types of B2B customer segmentation include tier-based segmentation, which divides customers into different tiers or bands based on factors such as their value to the company. Needs-based segmentation is a type of customer segmentation that divides customers into groups based on their needs.

6. How to buy B2B data for customer segmentation?

To buy B2B data for customer segmentation, you can use Datarade Marketplace. Explore a variety of datasets such as:

Looking for data?

Find quality datasets and APIs on Datarade Marketplace

Visit data marketplace ->

Monetize your data!

Publish your data products on Datarade Marketplace and reach +100K users

List your data ->
B2B Data

B2B Lead Generation Companies: Features and Pricing

B2B Data

What is B2B Sales? Definition, Examples & Top Strategies for 2024

B2B Data

How to Choose the Best B2B Data Provider: 6 Tips from a Top Industry Specialist