Reaching today’s diverse audiences is challenging. Broad marketing campaigns that cast a wide net often miss the mark, wasting resources and failing to resonate. Customer segmentation tools offer a solution: target the right customers with the right message.
This blog provides a list of the best customer segmentation tools available, a step-by-step guide on how to use these tools, and tips on selecting the right one for your business needs.
Customer segmentation tools, sometimes referred to as market segmentation tools, pull data from websites, social media interactions, or purchase histories to create highly targeted customer groups. These tools then analyze customer data like demographics, behaviors, and preferences to help you create relevant messaging that speaks directly to each segment, driving better customer engagement and ultimately boost conversions.
Let’s take a look at the top customer segmentation tools and compare their features to help you make an informed decision.
Let’s take a quick look at the top customer segmentation tools before we dive deeper into each of them.
Tool | Key Features | Best For | Pros | Cons |
---|---|---|---|---|
CleverTap | Advanced analytics, real-time & intent-based segmentation, RFM analysis, user journey tracking | Companies in e-commerce, media, and fintech aiming to enhance user engagement and retention. | Highly customizable segments, intuitive interface, real-time analytics, longer lookback period. | Primarily designed for businesses with established data collection strategies. |
HubSpot | CRM integration, behavioral triggers, automated workflows | Businesses that need an all-in-one marketing, sales, and segmentation platform. | Comprehensive CRM integration, strong analytics and reporting. | Higher price point for premium features. |
Mailchimp | Email segmentation based on demographics, purchase history, and engagement | Small to medium businesses focused on email marketing. | Affordable, user-friendly, multiple segmentation options. | Primarily focused on email, limited in other areas. |
Kissmetrics | Behavioral analytics, customer journey tracking, and pinpoint actions that lead to conversions. | Data-driven businesses that need in-depth behavioral insights. | Multi-channel tracking, in-depth behavior analysis. | It can be complex for users without technical expertise. |
Google Analytics | Website visitor segmentation by behavior, traffic sources, and demographics | Basic segmentation needs, especially for website traffic. | Free, accessible, and highly customizable. | Limited to web analytics, lacks deep segmentation options. |
Heap | Automatic capture of all user interactions | SaaS companies that need detailed user behavior data. | Comprehensive data capture and rich insights. | Setup and data interpretation can be challenging for beginners. |
Survicate | Customer feedback collection through surveys | Companies prioritizing customer feedback as part of their segmentation. | Real-time survey data, and flexible survey formats. | Limited beyond survey-based segmentation. |
Userpilot | Segmentation based on in-app behavior, onboarding progress, and product usage | SaaS companies focused on onboarding and product adoption. | Excellent for in-app messaging, and onboarding insights. | Primarily useful for SaaS and in-app contexts. |
Segment | Advanced audience segmentation and omnichannel communication | Businesses looking to enhance customer communication and engagement through data-driven segmentation and omnichannel messaging. | Integrates with other platforms is easy, allowing users to segment campaigns based on real-time data. | Segment has expensive add-ons and visits-based pricing. |
Qualtrics | Single platform for target group creation, results analysis, and AI-driven insights | Businesses seeking to tailor products and marketing to specific customer segments and improve customer segmentation research. | Intuitive survey builder and automated cluster analysis eliminate the need for specialized statistical expertise. | Steep learning curve. |
Choosing the right marketing segmentation tools is crucial for effective campaigns. Here are some of the best customer segmentation tools available in the market:
CleverTap’s customer segmentation tool is designed to give businesses a deep, actionable understanding of their users by helping conduct demographic, geographic, behavioral, and psychographic segmentation.
Best For: CleverTap’s segmentation tool is particularly beneficial for companies across various industries, including e-commerce, media, and fintech, aiming to enhance user engagement and retention through personalized and timely interactions.
Pros: Highly customizable segments, intuitive interface, real-time analytics, longer lookback period.
Cons: Primarily designed for businesses with established data collection strategies.
Learn more about CleverTap’s segments here.
Key Features: HubSpot’s CRM integrates segmentation with behavioral triggers and automated workflows, allowing businesses to manage leads, track customer journeys, and tailor marketing strategies.
Best For: Businesses needing an all-in-one marketing, sales, and segmentation platform.
Pros: Comprehensive CRM integration, strong analytics and reporting.
Cons: Higher price point for premium features.
Key Features: Mailchimp is a popular email marketing tool that offers segmentation based on demographics, purchase history, and engagement. It’s user-friendly and integrates well with other platforms.
Best For: Small to medium businesses focused on email marketing.
Pros: Affordable, user-friendly, multiple segmentation options.
Cons: Primarily focused on email, limited in other areas.
Key Features: This tool specializes in behavioral analytics, allowing businesses to track customer journeys and pinpoint which actions lead to conversions.
Best For: Data-driven businesses that need in-depth behavioral insights.
Pros: Multi-channel tracking, in-depth behavior analysis.
Cons: It can be complex for users without technical expertise.
Key Features: Google Analytics is widely used to segment website visitors by behavior, traffic sources, and demographics. It provides a solid foundation for web-based customer insights.
Best For: Basic segmentation needs, especially for website traffic.
Pros: Free, accessible, and highly customizable.
Cons: Limited to web analytics, lacks deep segmentation options.
Key Features: Heap automatically captures all user interactions to provide a complete picture of customer behavior across digital touchpoints. Ideal for mapping digital journeys.
Best For: SaaS companies that need detailed user behavior data.
Pros: Comprehensive data capture and rich insights.
Cons: Setup and data interpretation can be challenging for beginners.
Key Features: Survicate collects customer feedback through surveys, enabling segmentation based on real-time insights. It’s useful for businesses that rely on customer feedback to drive strategy.
Best For: Companies prioritizing customer feedback as part of their segmentation.
Pros: Real-time survey data and flexible survey formats.
Cons: Limited beyond survey-based segmentation.
Key Features: Userpilot segments users based on in-app behavior, onboarding progress, and product usage, helping SaaS companies reduce churn and improve engagement.
Best For: SaaS companies focused on onboarding and product adoption.
Pros: Excellent for in-app messaging and onboarding insights.
Cons: Primarily useful for SaaS and in-app contexts.
Key Features: Segment offers advanced audience segmentation and omnichannel communication, enabling businesses to improve customer communication and engagement strategies through data-driven segmentation. It provides real-time dashboards and custom audience reports.
Best for: Businesses looking to enhance customer communication and engagement through data-driven segmentation and omnichannel messaging.
Pros: Integrates with other platforms is easy, allowing users to segment campaigns based on real-time data.
Cons: Segment has expensive add-ons and visits-based pricing.
Key Features: Qualtrics offers a single platform for creating target groups and analyzing results. It uses advanced analytics with machine learning and AI to identify new customer segments and determine how to attract them.
Best for: Businesses seeking to tailor products and marketing to specific customer segments and improve customer segmentation research.
Pros: Intuitive survey builder and automated cluster analysis eliminates the need for specialized statistical expertise.
Cons: Steep learning curve.
The benefits of segmentation tools extend well beyond personalization.
Businesses that use these solutions often see measurable improvements in their marketing efforts. According to research from DMA, segmented email campaigns can drive a 760% increase in revenue. But that’s just the beginning.
Uncover your most profitable customer groups and understand their specific behaviors and preferences. Focus your resources on nurturing these segments to maximize ROI.
Create highly targeted campaigns that resonate with specific customer segments, leading to higher engagement rates and better conversion rates. For example, here’s what an e-commerce retailer would do:
Tailored experiences and relevant offers, enabled by customer segmentation, boost customer loyalty, repeat purchases, and customer lifetime value, significantly improving your bottom line.
Customer segmentation tools offer a powerful way to get your marketing efforts in front of the right people, but using them effectively requires some strategic steps. Here’s a guide to making the most out of your segmentation efforts.
The first step in using a customer segmentation tool is gathering all the data in one place. It can pull data from multiple sources, so you can get a 360-degree view of your customers.
Once your data is integrated, you can begin to see patterns, which is the foundation of your segmentation strategy.
With a unified view of your customers, it’s time to define your segments. Segmenting can be based on demographics (like age or location), behaviors (such as purchase history or website visits), or audience preferences.
For example, a clothing retailer might distinguish between frequent buyers and first-time visitors, while a service business could focus on stages in the customer lifecycle, such as leads, first-time buyers, or loyal customers. Starting with a few high-impact segments will keep the process manageable and help you meet your marketing goals.
Now that you have your segments, your tool will help you organize customers accordingly. This may include setting up rules like:
Quality segmentation tools often automate much of this process, making it easy to manage large data sets. Build automated segments with customer segmentation tools
With your segments ready, it’s time to tailor campaigns for each one. Personalized messaging can take the form of email marketing, special offers, product recommendations, or website content.
For instance, to boost the lifetime value of loyal customers, you might offer personalized discounts or early access to sales.
The more personalized your messaging feels, the more likely customers are to engage.
Segmentation isn’t a set-and-forget process. Track performance across your segments and make adjustments as needed. Key metrics include:
Most audience segmentation tools have built-in analytics to help you measure the effectiveness of your campaigns. If a segment isn’t responding as expected, refine your criteria or adjust your messaging.
Read More: 21 Customer Segmentation Examples to Target Your Ideal Audience
Here’s a step-by-step guide to selecting the right customer segmentation tool for your business:
1. Define Your Objectives: Determine your goals for customer segmentation, such as improving customer retention, email engagement, or streamlining user onboarding. Knowing your objectives helps narrow your options to tools specializing in those areas.
2. Assess Key Features: Look for tools that offer essential features.
3. Determine the Data Types: Decide on the data you’ll gather based on your priorities, which you can collect through surveys, customer interviews, and product usage data.
4. Evaluate Integration Capabilities: Choose a tool that integrates with your existing systems like CRM, marketing automation platforms, and analytics tools. This ensures smooth data flow and eliminates manual effort in transferring data.
5. Consider Scalability: Choose a tool that can scale with your business as your customer base grows and your segmentation needs become more complex. Consider your business size and type, as some tools are built for large data sets while others are designed for simplicity.
6. Look for Ease of Use and Support: A tool may have powerful features, but if it’s difficult to navigate, you may struggle to get the full value from it. Look for tools with intuitive interfaces, clear documentation, and robust customer support. Some tools offer onboarding assistance or dedicated account managers, which can make all the difference if you’re new to customer segmentation.
7. Consider Customization and Advanced Features: Depending on your business needs, you may require features like predictive segmentation, machine learning capabilities, or customizable reporting. Advanced features can enhance segmentation accuracy and provide deeper insights, but they may also increase the tool’s complexity. Ensure the tool has the level of customization and advanced capabilities you’ll need without overcomplicating your workflow.
Customer segmentation tools provide an invaluable way to connect with your audience by targeting their unique needs and preferences. It’s easy to get lost in the numbers and metrics, but remember: these tools are ultimately about understanding your customers on a deeper level.
Try CleverTap’s customer segmentation solution for advanced insights and tailored messaging that put your customers at the heart of your strategy. Learn more here.