9 Customer Segmentation Software

A data-driven technology called customer segmentation software assists companies in breaking up their clientele into discrete groups according to similar traits, habits, or interests. These solutions let firms analyze vast amounts of consumer data to provide tailored marketing campaigns, enhance customer experiences, and optimize product offers.

Customer segmentation software, as opposed to conventional manual segmentation, automatically detects patterns in consumer behavior via the use of AI, machine learning, and real-time analytics. More precise and useful insights are produced as a consequence, enabling companies to successfully customize their approaches to various clientele groups.

Table of Contents

Top Customer Segmentation Software

1. Usermaven

Usermaven is one of the most advanced and privacy-compliant customer segmentation software available today, especially well-suited for companies in the B2B SaaS industry. Unlike traditional analytics platforms that often require complex configurations and extensive manual coding, Usermaven streamlines the process by offering automated event tracking with minimal scripting.

This makes it an ideal solution for both marketing and product teams who need accurate and real-time customer insights without dealing with technical hurdles. The platform enables teams to segment users based on behavior, product usage, and engagement metrics, allowing for more personalized marketing strategies and data-driven product decisions.

Its privacy-first approach also ensures compliance with major data protection regulations, making it a reliable tool for businesses that prioritize user data security and compliance.

Features:

Usage Tracking/Analytics.
Data Visualization.
Engagement Tracking.
Conversion Tracking.
Customer Segmentation.
Funnel Analysis.

Price:

Free plan available.
Contact sales for custom pricing.

2. Optimove

Optimove is a platform for customer development and cross-channel campaign management that combines data from four sources to provide users with a personalized predictive customer model. These sources include campaign response history, in-app or on-site user behavior, third-party data, and first-party raw data.

In order to find groupings of comparable consumers that are as homogeneous—with the least or lowest difference among customers—as feasible within each category, Optimove uses customer clustering analysis or mathematical models for segmentation. The software divides users into daily-refreshing micro-segments based on demographics, behavior patterns, and real-time activities.

Without using micro-segmentation, marketers may simultaneously tailor segments for analysis or campaign marketing utilizing any field. To find patterns and useful insights, Optibot, Optimove’s integrated marketing optimization bot, sorts through data according to one or more categories.

Additionally, by following clients as they transition between micro-segments, the platform accomplishes more thorough segmentation. This change takes into account the customer’s habits during their life.

Features:

AI/Machine Learning.
Behavioral Analytics.
Campaign Management.
Churn Management.
Communication Management.
Customer Profiles.
Customer Segmentation.
Data Integration.
Email Marketing.
Gamification and many more.

Price: $4,000/user/month.

3. Contentsquare

Contentsquare is one of the best customer segmentation software designed to help companies understand and optimize how users interact with their websites and applications. By providing in-depth visualizations of user behavior, Contentsquare enables businesses to see exactly how visitors navigate their digital properties, including where they click, scroll, pause, or abandon their journey.

This granular level of insight is especially valuable for identifying friction points—areas where users may struggle, experience confusion, or drop off. By pinpointing these problem areas, teams can make data-driven decisions to improve usability, increase engagement, and boost conversion rates.

Contentsquare also supports collaboration between marketing, UX, and product teams by offering a shared view of customer experience, ultimately driving better outcomes through smarter, user-centric design and continuous experience optimization.

Features:

Performance Management.
Performance Metrics.
For Websites.
For Mobile.
Reporting & Statistics.
Element Analytics.
Data Visualization.
Text Analysis.
Time on Site Tracking.
User Journeys and many more.

Price:

Free plan available.
Growth: $49/month.
Contact sales for the Pro & Enterprise plan.

4. Clearbit

Because it enables you to segment accounts—both individual and corporate customers—based on more than 100 criteria, Clearbit is a data enrichment tool that is suggested for B2B marketing. These consist of the number of employees, location, contact details, income, installed technologies, and more. Using these data elements, marketers may create groups that correspond to their ideal customer profile (ICP) for focused interaction.

Moreover, Reveal, Clearbit’s internet provider intelligence, alerts consumers when these “best-fit” businesses exhibit purpose, like viewing your price page or reading product reviews. This machine learning-driven platform gathers, sorts, and validates first- and third-party data from both public and private data sources.

Then, using validated data, Clearbit instantly updates new or existing corporate records and fixes those that are out-of-date or lacking. To locate new potential clients, you may also search the platform’s dataset, which includes 44 million businesses and 350 million contacts.

Features:

Campaign Management.
Email Marketing.
Lead Generation.
Activity Dashboard.
Lead Management.
Lead Nurturing.
Performance Metrics.
Proposal Generation.

Price: Starting from $299/year.

5. Heap

Another customer segmentation software that reveals and analyzes how users engage with your website or app is Heap, which leverages session replay. Also, the Illuminate data science layer of this tool assists you in determining the amount of work required by users of your website or application to complete a transaction as well as the events that result in conversion and retention.

According to Heap, you may establish “user cohorts” based on client categories based on their online activity patterns, from first contact to adoption, regardless of the marketing channel they started with. You may see which actions contribute to your company’s objectives and income by viewing segments based on page visits, media plays, uploads, data input, or social sharing.

Prioritizing your efforts to maximize these behaviors or alter your strategy or product might be aided by the study. The result may be a new offer to customize the user experience or the addition or enhancement of functionality to your website or application.

Features:

Customer Journey Mapping.
Reporting & Statistics.
Data Import/Export.
Product Data Management.
Performance Metrics.
Usage Tracking/Analytics.
Website Analytics.
Visual Analytics.
Retention Tracking.
KPI Monitoring and many more.

Price: Starting from $24,000/year.

6. Graphite Note

Sales and marketing teams may now access more than just past consumer data from surveys and transaction records thanks to Graphite Note’s usage of AI. To create segments, the platform’s machine learning algorithms automate the process of identifying patterns in behavior and generating insights. These trends assist in determining your most valued clients, those who have ceased doing business with you, and the issues that consumers have with your specific offering.

Graphite Note is a no-code machine learning and data storytelling tool that helps your team comprehend the insights obtained by segmentation via visuals. To create forecasts for every section, you can then link your datasets to the tool’s pre-made templates.

Features:

AI/Machine Learning.
Customizable Reports.
Data Blending.
Demand Forecasting.
Data Discovery.
Data Visualization.
Forecasting and many more.

Price: Contact sales.

7. FullStory

FullStory bills itself as a digital experience intelligence platform that uses Autocapture to provide you with a sneak peek into how visitors behave on your website in general or on an individual basis. This feature records every user activity on your app or website, including clicks, scrolling, and highlights, allowing you to see patterns over time.

Heatmaps (a visual depiction of the most or least visited website items) and session replays (a chronology of activities every visit) are two ways to observe “auto-captured” activity. You may find areas for user interface enhancement by using auto-capture, which records dead and rage clicks—repeated clicking of a website or app element out of displeasure.

Segments may be made according to a variety of event or behavior parameters, such as the number of visitors that use a new feature, browse on mobile devices, switch from free to premium accounts, or finish customer journeys. Additionally, FullStory can monitor a range of use indicators to identify the variables associated with either churning or loyal clients.

Features:

Dashboard.
Visual Analytics.
User Journeys.
Performance Metrics.
Engagement Tracking.
Customer Experience Management.
Conversion Tracking.
Mobile Access.
Quantitative Analysis.
Real-Time Analytics and many more.

Price: Contact sales.

8. Baremetrics

Baremetrics is one of the best customer segmentation software that allows businesses to quickly access essential financial data and gain valuable insights into how different customer segments impact revenue. With its intuitive interface and real-time tracking, Baremetrics makes it easy to monitor key metrics such as Customer Lifetime Value (LTV), Monthly Recurring Revenue (MRR), Annual Recurring Revenue (ARR), and Average Revenue Per User (ARPU).

These metrics can be segmented across various audience categories, including new trial users, plan upgrades, customer switchers, cancellations, and even refunds. This level of segmentation empowers companies to understand revenue trends at a granular level, identify growth opportunities, reduce churn, and make informed decisions. Baremetrics is especially valuable for subscription-based businesses seeking transparency and clarity in their financial performance.

Features:

Activity Dashboard.
Customizable Dashboard.
Financial Reporting.
Sales Reports.
Scheduled/Automated Reports.
Search/Filter.
Data Import/Export.
Data Visualization.
Forecasting.
Alerts/Notifications.

Price: Starting from $29/month.

9. Segment

Segment is a powerful customer data management platform designed to streamline the way businesses collect, manage, and utilize data from various digital touchpoints. It gathers data points from both online and mobile applications, enabling companies to build a unified view of their users’ behavior.

What sets Segment apart is its ability to integrate seamlessly with over 300 different software tools—including marketing platforms, analytics suites, CRMs, and data warehouses—allowing businesses to process and access this vast pool of data through a single, centralized interface.

This eliminates the need for multiple tracking systems and reduces data silos, ensuring consistency and accuracy across all channels. Segment empowers teams to deliver personalized customer experiences, improve decision-making, and enhance operational efficiency through real-time, reliable data integration.

Features:

Website Analytics.
Reporting/Analytics.
Data Security.
Data Quality Control.
Multi-Channel Data Collection.
Data Analysis Tools.
Data Migration.
Data Integration.
Data Mapping.
Identity Verification and many more.

Price:

Free plan available.
Team: $120/month.
Contact sales for a business plan.

Qualities Of An AI Customer Segmentation Tool To Consider

These features should be included in the top AI-powered customer segmentation software:

Organization: All of your consumer data is centrally stored in AI segmentation tools. It should provide you with a cohesive view of your customers’ characteristics, the reasons they choose to work with you, and the aspects of your marketing that they find appealing.

Visualization and report distribution: Unlike spreadsheets, segmentation systems provide reports with eye-catching charts and graphs that make analytics and insights easier to grasp. Additionally, you may distribute these static or dynamic reports using the tools.

Customization: Using a measure across several segments is made possible by segmentation solutions. The AI technology must be able to identify the least satisfied consumers in a variety of areas, including age group, subscription plan, or product bought, if your net promoter score starts to drop.

Scalability: Partitioning AI is scalable; it can automatically compile data from new subscribers or consumers, whether they arrive in waves or in small amounts. New customer categories might result from a growth in customers, which would probably lead to new specialist reporting opportunities.

FAQ

Q: Define customer segmentation.

A: In order to enable customized marketing techniques, customer segmentation is the practice of breaking up a client base into discrete groups according to common traits like demographics, habits, or preferences.

Q: How is client segmentation improved by AI?

A: By automating data analysis, spotting trends, and generating dynamic segments from real-time data, artificial intelligence (AI) improves client segmentation and increases marketing operations’ precision and customization.

Q: What difficulties could come up when using AI to segment your consumer base?

A: The time needed for data processing, controlling data quantity, preventing too wide or narrow segments, and guaranteeing data quality are some of the difficulties. Furthermore, ethical issues about the protection of client data must be addressed.

Q: What role might AI technologies play in forecasting consumer behavior?

A: Businesses may anticipate demands, lower attrition, and enhance customer retention tactics by using AI solutions that use predictive analytics to evaluate past data and predict future consumer actions.