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With so many different CX tracking solutions available, figuring out which is right for you is tough. You know you want to monitor and analyze your customer journey more efficiently, but need to figure out which tool is best. I've got you! In this post I'll help make your choice easy, sharing my personal experiences using dozens of different customer journey tools with large teams and projects, with my picks of the best customer journey analytics software.

The Best Customer Journey Analytics Software: Pricing Comparison Chart

This comparison chart summarizes basic details about each of my top customer journey analytics software selections. You can view pricing details and the availability of free trials or demos side-by-side to help you find the right customer journey analytics software for your budget and business needs.

Best Customer Journey Analytics Software Reviews

Best for identifying drop-off points

  • 14-day free trial + free plan available
  • From $39/month
Visit Website
Rating: 4.7/5

Mouseflow is a behavior analytics tool that helps you understand how visitors interact with your website. By providing insights into user behavior, it enables you to identify areas for improvement and enhance the overall user experience. 

Why I Picked Mouseflow:

One reason I like Mouseflow is its drop-off analysis. You can see exactly where users abandon their journey and pinpoint problem areas that may be causing frustration. This feature is especially useful for identifying distractions or friction points that prevent users from completing key actions like signing up or making a purchase. It also offers the ability to map the full journey of website visitors. You can track all paths users take to and from any page, giving you a complete picture of how they interact with your site. 

Standout features & integrations:

Other features include journey comparison, which lets you see whether actual user paths match your intended design, helping you refine your website’s structure. The tool also provides insights into how users arrive at specific pages, allowing you to assess whether those pages effectively meet visitor expectations. Some of Mouseflow's integrations include Google Analytics, HubSpot, Shopify, WordPress, Wix, Squarespace, Slack, Segment, Optimizely, and Sitejet.

Pros and cons

Pros:

  • Provides detailed drop-off analysis to optimize conversion rates
  • Automatically tracks visitor journeys
  • Allows grouping of similar pages for deeper behavioral insights

Cons:

  • Full journey mapping features limited to enterprise plan
  • Does not include built-in A/B testing features

Best for Predicting and Reducing Customer Churn

  • Free demo available
  • Pricing upon request
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Rating: 4.7/5

ChurnZero is a powerful customer success platform that focuses on reducing customer churn by helping businesses understand their customers better. It uses real-time data, automated tasks, and customer segmentation to predict and prevent customer churn, real-time data, automated tasks, and customer segmentation from predicting and preventing customer churn, hence aligning with its recognition for being best at predicting and reducing customer churn.

Why I Picked ChurnZero:

I selected ChurnZero for its dedicated focus on churn prediction and prevention. This tool goes beyond traditional customer data management and delivers features designed to keep customers engaged, reducing the likelihood of churn. Its in-depth customer analysis and automated tasks make it different from other tools.

Standout features & integrations:

ChurnZero shines with features like customer health scoring, automated actions based on customer behavior, and detailed reporting to help understand customer churn. It also offers significant integrations with platforms like Salesforce, HubSpot, and Zendesk, assisting businesses in connecting customer data from multiple channels.

Pros and cons

Pros:

  • Valuable integrations with major platforms.
  • Comprehensive customer health scoring system.
  • Specialized features for predicting and reducing customer churn.

Cons:

  • Only use if the business is dealing with a low customer churn rate.
  • There can be a learning curve for using some advanced features.
  • The high cost might be prohibitive for small businesses.

Best for Real-time Cross-platform Analysis

  • Free demo available
  • Pricing upon request
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Rating: 4.7/5

Quantum Metric is a digital intelligence platform that helps businesses gain in-depth insights into their customers' online behavior. It allows you to track and analyze customer interactions across various venues in real-time, comprehensively understanding your customer journey.

Why I Picked Quantum Metric:

I selected Quantum Metric for its unique focus on providing real-time, cross-platform analytics. It is refreshing and essential in a world where customers interact with businesses across multiple platforms. It's best for real-time cross-platform analysis because of its high-speed data processing and compatibility with various digital environments.

Standout features & integrations:

Quantum Metric brings together customer experience data and quantum analytics. This combination lets users understand the 'why' behind their customers' behaviors and preferences. its Continuous Product Design approach also assists teams in delivering better digital products. Quantum Metric fits seamlessly with Google Marketing Platform, Adobe Experience Cloud, and other marketing and data visualization tools for integrations.

Pros and cons

Pros:

  • Unique 'Continuous Product Design' approach.
  • Compatible with various platforms for comprehensive analysis.
  • Real-time analytics offer immediate insight into customer behavior.

Cons:

  • Depending on the scale, data management can become challenging.
  • It may be complex for new users without proper training.
  • Pricing is not open; please ask for a quote.

Best for Streamlining Data Collection Across Multiple Channels

  • Free demo available
  • Pricing upon request
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Rating: 4.5/5

Segment is a versatile tool that assists businesses in aggregating data from multiple channels and presents it in an easy-to-understand format. By efficiently handling the challenging data collection and collation task, it's ideally suited for businesses seeking to streamline their multi-channel data collection process.

Why I Picked Segment:

I selected Segment for its aptitude in consolidating data from disparate sources. In an era of multi-channel marketing, collecting data from each source can be daunting. Segment simplifies this process, making it a prime candidate for businesses needing to streamline data collection across multiple channels.

Standout features & integrations:

The segment provides a unified API for data collection, which can help businesses simplify their data infrastructure. Additionally, it offers a protocol for enforcing data quality. Its compatibility with other software is commendable, with integrations spanning across platforms, marketing tools, data warehouses, and more.

Pros and cons

Pros:

  • Offers a wide array of integrations.
  • Enforces data quality with a uniform protocol.
  • Simplifies data collection from multiple sources.

Cons:

  • It might have a steep learning curve for non-technical users.
  • Its annual billing model may only suit some businesses.
  • The cost might be high for small businesses.

Best for Web and Mobile User Session Replay

  • Free demo available
  • Pricing upon request
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Rating: 4.7/5

Glassbox is an analytics platform that offers an in-depth understanding of user interactions on your website and mobile applications. Its robust session replay feature lets businesses view and analyze customer journeys in granular detail.

Why I Picked Glassbox:

I selected Glassbox due to its unrivaled capabilities in session replay. Witnessing customer interactions in detail is a game-changer, and Glassbox excels in this area. Its standout session replay functionality for both web and mobile apps is why it is the best in this aspect.

Standout features & integrations:

The key features of Glassbox include session replay, customer journey mapping, and robust analytics. The compelling session replay feature gives a 'video-like' playback of the user's journey. For integrations, Glassbox has compatibility with a range of marketing, CRM, and data platforms, including Salesforce, Adobe Marketing Cloud, and Google BigQuery.

Pros and cons

Pros:

  • Extensive integration possibilities.
  • We have detailed customer journey mapping.
  • Strong session replay capabilities.

Cons:

  • The user interface may require a learning curve for new users.
  • The sheer amount of data captured can be overwhelming.
  • Pricing isn't disclosed on the website.

Best for customer journey mapping

  • 14-day free trial + free plan available
  • From $199/month
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Rating: 4.5/5

Fullstory is a behavioral data platform that helps you and your team understand how users interact with your website or app. It records and analyzes customer interactions to show where friction happens, how users navigate through your site, and what might be causing frustration. By leveraging behavioral analytics, Fullstory helps technology leaders make more informed decisions with actionable insights from every click.

Why I Picked Fullstory:

What makes Fullstory a solid choice for customer journey analytics is its session replay feature, which allows you to watch real-time recordings of how users engage with your site. You can see each click, scroll, and interaction exactly as it happened, helping to pinpoint specific areas of user frustration or confusion. The software also offers heatmaps, which give you a visual breakdown of where most users are engaging on your pages. Additionally, the journey mapping feature lets you track the exact path users take across multiple pages. This level of understanding helps enterprises adopt a more customer-centric approach, increase funnel conversion, detect fraudulent behavior, and identify high-value customers more efficiently.

Standout features & integrations:

Additionally, data exports let you sync Fullstory’s insights with your other systems, allowing for deeper data analysis outside of the platform. Mobile app support extends Fullstory’s capabilities to your app, so you can track user behavior across web and mobile. Fullstory also integrates with a wide range of tools like Google Analytics, Salesforce, and Slack.

Pros and cons

Pros:

  • Offers a heatmap feature
  • Provides real-time analysis
  • Detailed session replays

Cons:

  • Limited dashboard customization
  • Mobile analytics are a paid add-on

Best for In-app User Engagement Tracking

  • 14-day free trial + free plan available
  • Pricing upon request
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Rating: 4.4/5

Pendo.io is a robust product experience platform that offers valuable insights on in-app user engagement. The tool is particularly well-equipped to understand user behavior within applications, making it an ideal choice for businesses aiming to track and improve in-app user engagement.

Why I Picked Pendo.io:

I picked Pendo.io due to its focused capabilities for monitoring in-app user engagement. Its unique feature set allows businesses to gain deep insights into user behavior within their applications. This specialization makes it a standout choice for companies wanting to understand and enhance their in-app user engagement.

Standout features & integrations:

Pendo.io provides extensive features for user behavior tracking, such as heatmaps, funnels, and user path analysis and attribution. It also offers capabilities to guide users through the app, improving their experience. As for integrations, Pendo.io seamlessly connects with various CRM, data analysis, and project management tools.

Pros and cons

Pros:

  • Wide range of integrations with other business tools.
  • Offers in-app user guidance capabilities.
  • Comprehensive in-app user engagement tracking features.

Cons:

  • Some users may need help to use it initially.
  • It could be an overkill for companies not primarily focused on app engagement.
  • Higher costs might be a barrier for small businesses.

Best for Automatic Data Capture and Tracking

  • Free demo available
  • Pricing upon request
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Rating: 4.3/5

A heap is a unique tool that stands out in automatic data capture and tracking, proving beneficial for businesses seeking to understand customer behavior on their digital platforms. Its strong points lie in capturing all interactions and allowing companies to make data-driven decisions.

Why I Picked Heap:

Heap secured its spot on my list due to its exceptional data capture and tracking ability. Its automatic event tracking and easy-defining custom events make it different from other tools. Given its simplicity in collecting data without requiring extra code, I selected it as best for automatic data capture and monitoring.

Standout features & integrations:

Heap has automatic event tracking, retroactive analytics, and funnel analysis features. Its seamless integration with tools like Google BigQuery, Optimizely, and Salesforce permits users to correlate Heap data with information from these platforms for enriched insights.

Pros and cons

Pros:

  • Allows integration with major platforms like Google BigQuery and Salesforce.
  • Provides retroactive analytics for historical data.
  • Simplifies data capture with automatic event tracking.

Cons:

  • The interface could be complex for beginners.
  • It might be expensive for smaller teams.
  • Pricing starts from an annual commitment, with no monthly plans.

Best for Unified Customer Data Management

  • From $1,000/user/month

Treasure Data Customer Data Platform is a solution that aids businesses in collecting and unifying their customer data from various sources. It consolidates the data and provides in-depth analytics, making it ideal for organizations with comprehensive data management.

Why I Picked Treasure Data Customer Data Platform:

I chose Treasure Data Customer Data Platform for this list due to its impressive capacity for data unification. In a world where businesses deal with an influx of customer data from numerous touchpoints, its standout feature of combining all this information into one accessible platform is why I believe it's best for unified customer data management.

Standout features & integrations:

Treasure Data's features include data collection from various sources, customer segmentation, and deep data analytics. Moreover, it offers valuable integrations with multiple platforms, including CRM systems, email marketing tools, and even social media platforms, making it easier for businesses to consolidate and leverage customer data.

Pros and cons

Pros:

  • Wide range of integrations with other platforms.
  • Offers comprehensive customer data analytics.
  • Provides a unified platform for customer data management.

Cons:

  • Limited information is available on lower-tier pricing or plans.
  • The interface might be complex for users without a technical background.
  • Pricing might be prohibitive for smaller businesses.

Best for Visualizing Customer Behavior on Websites

  • Free demo available
  • From $500/month (billed annually)

Contentsquare is a digital experience analytics solution offering comprehensive insights into website customer behavior. It provides businesses with visual heatmaps, session replays, and detailed analytics to enhance the user experience.

Why I Picked Contentsquare:

I picked Contentsquare for this list because of its superior visualization capabilities that make understanding customer behavior on a website effortless. Its ability to convert complex interaction data into easy-to-understand heatmaps sets it apart. Contentsquare is the best for visualizing customer behavior on websites, as it provides an intuitive and straightforward way for businesses to understand and improve their users' digital experiences.

Standout features & integrations:

Contentsquare shines with its heatmap visualization, session replay, and AI-powered insights, enabling businesses to understand and improve customer interactions. Furthermore, Contentsquare integrates with several prominent platforms, including Google Analytics, Adobe Analytics, and Salesforce, allowing users to augment their existing data for more comprehensive customer insights.

Pros and cons

Pros:

  • Provides integrations with critical platforms like Google Analytics and Adobe Analytics.
  • Session replays allow businesses to see exactly how users interact with their websites.
  • Heatmap visualization provides an intuitive way to understand customer behavior.

Cons:

  • More information on lower-tier pricing or plans is needed.
  • It might require some learning curve to make the most of the tool.
  • It may be expensive for smaller businesses.

Other Customer Journey Analytics Software

Below is a list of additional customer journey analytics software that I shortlisted but did not make it to the top 10. Definitely worth checking them out.

  1. HubSpot Marketing Hub

    For Integrating CRM, SEO, and Content Management

  2. Insider

    For AI-driven Personalized Customer Interactions

  3. MoEngage

    For Mobile-first Customer Engagement

  4. HCL Software

    For Versatile Data Analytics and Insights

  5. Act-On

    Good for automating marketing to attract and retain customers

  6. Catalyst

    Good for managing and tracking customer success workflows

  7. WebEngage

    Good for using multi-channel user engagement to increase retention

  8. ContactPigeon

    Good for e-commerce businesses needing personalized customer interactions

  9. Totango

    Good for understanding and tracking customer health

  10. Pega

    Good for business process management and customer relationship management

  11. Optimove

    Good for using predictive modeling to improve customer retention

  12. Indicative

    Good for analyzing customer journeys with a data-focused approach

  13. Adobe Journey Optimizer

    Good for orchestrating real-time, cross-channel customer journeys

  14. Factors.AI

    Good for understanding and tracking revenue operations

  15. Xtremepush

    Good for engaging customers across multiple digital platforms

  16. Salespanel

    Good for tracking and analyzing B2B customer behavior

  17. Dreamdata.io

    Good for attributing revenue and measuring the impact of B2B efforts

  18. Adobe Campaign

    Good for managing and automating personalized campaigns across channels

  19. Emarsys

    Good for integrating artificial intelligence(AI) into customer engagement strategies

  20. Dotdigital

    Good for creating omnichannel marketing campaigns

  21. impact.com

    Good for managing and optimizing all types of partnerships

  22. Auryc

    Good for capturing and analyzing customer journey data

  23. Salesforce Marketing Cloud Account Engagement

    Good for creating personalized customer journeys

  24. Constant Contact Advanced Automation & CRM Platform

    Good for small businesses needing email marketing and CRM solutions

If you still haven't found what you're looking for here, check out these related customer experience management tools that we've tested and evaluated.

Customer Journey Analytics Software Selection Criteria

When selecting the best customer journey analytics software to include in this list, I considered common buyer needs and pain points like data integration challenges and the need for real-time insights. I also used the following framework to keep my evaluation structured and fair:

Core Functionality (25% of total score)
To be considered for inclusion in this list, each solution had to fulfill these common use cases:

  • Track customer interactions across channels
  • Provide journey mapping and visualization
  • Analyze customer behavior patterns
  • Offer real-time analytics and reporting
  • Integrate with existing CRM and marketing tools

Additional Standout Features (25% of total score)
To help further narrow down the competition, I also looked for unique features, such as:

  • Predictive analytics capabilities
  • AI-driven insights and recommendations
  • Customizable dashboards and reports
  • Cross-device tracking and analysis
  • Advanced segmentation and targeting

Usability (10% of total score)
To get a sense of the usability of each system, I considered the following:

  • Intuitive user interface design
  • Ease of navigation within the platform
  • Speed of data processing and reporting
  • Customization options for user preferences
  • Accessibility of features for non-technical users

Onboarding (10% of total score)
To evaluate the onboarding experience for each platform, I considered the following:

  • Availability of training videos and documentation
  • Interactive product tours and demos
  • Access to customer support during setup
  • Templates and guides for quick setup
  • Webinars and workshops for user education

Customer Support (10% of total score)
To assess each software provider’s customer support services, I considered the following:

  • Availability of 24/7 support channels
  • Response time to customer inquiries
  • Knowledge and helpfulness of support staff
  • Access to a comprehensive help center
  • Community forums and user groups for peer support

Value For Money (10% of total score)
To evaluate the value for money of each platform, I considered the following:

  • Competitive pricing compared to similar tools
  • Features offered at each pricing tier
  • Flexibility of subscription plans
  • Discounts for annual billing or long-term contracts
  • Cost-effectiveness of features relative to needs

Customer Reviews (10% of total score)
To get a sense of overall customer satisfaction, I considered the following when reading customer reviews:

  • Positive feedback on core functionalities
  • Commonly reported issues or drawbacks
  • Overall satisfaction with customer support
  • Frequency of updates and improvements
  • Willingness to recommend the tool to others

How to Choose Customer Journey Analytics Software

It’s easy to get bogged down in long feature lists and complex pricing structures. To help you stay focused as you work through your unique software selection process, here’s a checklist of factors to keep in mind:

FactorWhat to Consider
ScalabilityWill the software grow with your business? Consider if it can handle increased data volume and user numbers without a hitch. Look for tools that accommodate your future growth plans.
IntegrationsDoes it connect with your existing tools? Ensure the software can integrate with your CRM, marketing platforms, and other systems. Lack of integration can lead to data silos.
CustomizabilityCan you tailor it to your needs? Check if the software allows you to customize dashboards and reports. Tools that don't adapt to your workflows might limit usability.
Ease of useIs the tool intuitive? Evaluate if your team can navigate the software without extensive training. A complex interface can slow down adoption and productivity.
Implementation and onboardingHow quickly can you get started? Assess the time and resources needed to implement the software. Tools with lengthy setups can delay your ability to see value.
CostDoes it fit your budget? Compare pricing plans and consider total costs, including any hidden fees. Ensure the features you need are available at a reasonable price.
Security safeguardsAre your data protected? Verify the software's security measures, such as encryption and access controls. Weak security can expose sensitive customer information to risks.
Compliance requirementsDoes it meet industry standards? Ensure the software complies with regulations relevant to your business, such as GDPR or CCPA. Non-compliance can lead to legal issues and fines.

What is Customer Journey Analytics Software?

Customer journey analytics software is a digital tool that helps you capture, track, analyze, and understand your customers' interactions across various customer touchpoints. This might include interactions with your website, mobile app, help desk, marketing automation, etc.

This type of software provides insights into customer needs, behavior, patterns, and preferences throughout their journey. These insights help you to improve the entire customer experience, enhance product development, and ultimately, increase customer loyalty and business revenue. You can run A/B tests, web analytics, and demographics segmentation, allowing your teams to make data-driven decisions.

Features

When selecting customer journey analytics software, keep an eye out for the following key features:

  • Security safeguards: Ensures data protection through encryption and access controls, maintaining customer trust and compliance.
  • Data integration: Seamlessly connects with existing tools like CRM and marketing platforms to provide a unified view of customer interactions.
  • Real-time analytics: Offers immediate insights into customer behavior, allowing teams to respond quickly to trends and issues.
  • Journey mapping: Visualizes the customer journey across different touchpoints, helping identify pain points and opportunities for improvement.
  • Customer segmentation: Groups users based on behavior and preferences, enabling targeted marketing and personalized experiences.
  • Predictive analytics: Uses historical data to forecast future customer behavior, aiding in proactive decision-making.
  • Heatmaps: Displays user interaction data visually, showing which areas of a website or app attract the most attention.
  • In-app messaging: Allows direct communication with users within the product, improving engagement and support.
  • User feedback collection: Gathers insights directly from customers, helping teams understand needs and enhance product offerings.
  • Automated workflows: Streamlines repetitive tasks, freeing up time for teams to focus on strategic initiatives.

Benefits

Implementing customer journey analytics software provides several benefits for your team and your business. Here are a few you can look forward to:

  • Improved customer insights: Gain a deeper understanding of customer behavior and preferences through detailed analytics and data integration.
  • Enhanced decision-making: Make informed choices with real-time analytics and predictive insights that highlight trends and potential issues.
  • Increased engagement: Boost customer interaction with personalized experiences and targeted communication facilitated by segmentation and in-app messaging.
  • Efficient resource allocation: Optimize time and resources by automating repetitive tasks and focusing on strategic initiatives.
  • Better customer retention: Identify at-risk customers and proactively address their needs with journey mapping and customer health scores.
  • Higher conversion rates: Use journey mapping and heatmaps to pinpoint and improve areas that drive conversions.
  • Data security: Protect sensitive customer information with security safeguards, ensuring compliance and maintaining trust.

Costs & Pricing

Selecting customer journey analytics software requires an understanding of the various pricing models and plans available. Costs vary based on features, team size, add-ons, and more. The table below summarizes common plans, their average prices, and typical features included in customer journey analytics software solutions:

Plan Comparison Table for Customer Journey Analytics Software

Plan TypeAverage PriceCommon Features
Free Plan$0Basic analytics, limited data integration, and user feedback collection.
Personal Plan$10-$30/user/monthEnhanced analytics, real-time reporting, in-app messaging, and basic customer segmentation.
Business Plan$50-$100/user/monthAdvanced analytics, journey mapping, predictive insights, and comprehensive data integration.
Enterprise Plan$150-$300/user/monthCustomizable dashboards, full data integration, dedicated support, and advanced security features.

Customer Journey Analytics Software FAQs

Find answers to common questions about this topic.

What makes customer journey analytics different from normal website tracking?

Regular website tracking looks at clicks and page visits. Customer journey analytics goes further by showing how people move from one step to another — from seeing your ad, visiting your site, signing up, to becoming loyal customers. It helps you see the full story behind their actions.

Can this software track both online and offline customer activities?

Yes. Many tools can combine data from online actions like website visits or app use, and offline actions like store visits or phone calls. This gives your team a clearer picture of how people connect with your business in real life and online.

How does this software help keep customers from leaving?

It shows where people lose interest or stop engaging with your brand. By finding these weak spots, your team can fix problems, improve service, and make the experience smoother so more customers stay longer.

Do I need a tech expert to use this kind of software?

No. Most tools are made to be simple enough for regular marketing or customer service teams. They often include clear dashboards and ready-made reports, so you can understand results without needing a background in data or coding.

How reliable are the results from this software?

The results are only as good as the information you put in. If your data from websites, emails, or sales is complete and up to date, you’ll get more accurate and helpful insights. The key is keeping your information organized and clean.

What’s Next:

If you're in the process of researching customer journey analytics software, connect with a SoftwareSelect advisor for free recommendations.

You fill out a form and have a quick chat where they get into the specifics of your needs. Then you'll get a shortlist of software to review. They'll even support you through the entire buying process, including price negotiations.

Tim Fisher
By Tim Fisher

Tim brings over two decades of experience leading at the crossroads of tech, editorial, and AI innovation. From launching and scaling Lifewire into a top-ranked tech site, to spearheading AI operations at People Inc., he’s spent his career building systems that connect people with smarter solutions. His favorite problems are the ones that unlock new possibilities when properly solved. For Tim, problems are just undiscovered opportunities, and AI has opened the door to solving challenges once thought immovable. When he’s not tinkering with large language models, Tim is either re-reading Project Hail Mary, or eating Mexican food.