Tools Shortlist
Here’s the list of the best user behavior analytics systems that I’ll cover in this article.
Our one-on-one guidance will help you find the perfect fit.
Acquiring visitors to your website or app can be an expensive proposition in today’s competitive business world. So it makes sense to make the most of every click.
Yet it’s all too easy for visitors to slip through the cracks. Small design issues that developers overlook can cause people to become confused, hesitant, or lost. Over time, this adds up to a catastrophic loss of opportunities, prospects, and sales.
User behavior analytics tools fix this problem by giving detailed insights into how visitors interact. In this article, I’ll discuss the best software tools in this niche. I’ll show you what each website analytics tool is best for and highlight the top features and uses.
What are User Behavior Analytics Tools?
User behavior analytics tools are software applications that are designed to collect and analyze data related to user behavior on digital platforms such as websites, mobile applications, and other software systems. These tools typically use various data collection methods, such as tracking clicks, page views, and user interactions, to identify patterns and trends in user behavior.
User behavior analytics tools provide valuable insights into user behavior, including how users navigate through digital platforms, what actions they take, and what features they use the most. These insights can help organizations to make data-driven decisions, improve the user experience, and ultimately drive business growth.
Overviews Of The 10 Best User Behavior Analytics Tools
Here’s a brief description of each user behavior analytics software solution to showcase each tool’s best use case, some noteworthy features, and screenshots to give a snapshot of the user interface.
Mouseflow
Detailed data for every touchpoint of the user’s journey
Mouseflow is a behavior analytics platform that helps optimize the customer experience. You can build six types of heatmaps for all pages automatically and set up funnels to find out where users drop off. In the same platform, you can also use form analytics to improve lead generation and launch feedback campaigns to learn more from visitors.
Mouseflow helps you contextualize behavioral data and test results using replays, visualizations, and feedback. You can catch bugs before they spread and also prioritize feature updates. With A/B testing, you can find out what tipped a winning test.
This tool integrates with major business platforms such as Hubspot, Optimizely, WordPress, and Google Analytics.
Mouseflow costs from $39/month (unlimited users). A free 14-day trial is also available.
Mixpanel
Best for in-depth reporting
This web analytics tool tracks customer journeys and gives insights into customer behavior. Using Mixpanel, you can convert more leads into customers, generate custom reports, and build funnels. You can also view top user flows, create cohorts and automate workflows.
Other features include audience targeting, A/B testing, conversion tracking, and data visualization. Admins can build custom dashboards, receive update alerts and monitor KPIs. By digging down into the data, they can learn which features are popular, identify power users and find out what leads to long-term retention.
This tool integrates with major business platforms such as AB Tasty, AWS, and Convert.
Mixpanel costs from $20/month/account. A free plan with limited features is also available.
FullStory
Combines quantitative and qualitative data in real-time
FullStory is a digital experience analytics platform that helps businesses track and monitor user activity. Everything is indexed automatically, from clicks to page transitions. Entire teams can collaborate to analyze the data and make informed business decisions.
Session playbacks provide a complete view of the customer’s journey. Admins can inspect customer activity, identify rage clicks, and create funnels. Other features include click maps giving detailed page insights, plus the ability to pinpoint dead clicks.
This tool integrates with business platforms such as Gravity Data, Survicate, Workato, and Productboard.
FullStory offers customized pricing on request. There is also a free plan which includes a base level of sessions and storage.
CleverTap
Best for mobile-first products
CleverTap helps marketers create differentiated customer engagement strategies at scale. Focused on increasing customer lifetime value, it includes features such as flows, AB testing, pivots, user segmentation, and funnels. Marketers can create customized campaigns that include triggered messages, push notifications, and scheduled offers.
Customer insights show which message works best with what segment of users. Admins can visualize and correlate data across multiple sources using a single dashboard. The software also includes visitor profiles complete with demographic data, event interactions, user activity, responses, and usage history.
This tool integrates with applications such as SendGrid, Twilio, Branch & Tune, and the Facebook Audience Network.
CleverTap costs from $99/month. A 30-day free trial is available.
Hotjar
Best for all-in-one user behavior analytics
Hotjar is a user behavior analysis tool that helps businesses optimize the way visitors use their websites. This is achieved using heatmaps, recordings, feedback, and surveys. Admins can anonymously view user sessions to spot usability issues that need to be fixed.
Admins can replay sessions, add tags to recordings, create notes, and collaborate with other team members. They can also create surveys, send invitation links to consumers, or launch surveys directly on the site. Visitors can leave visual feedback on the site, enabling professionals to monitor sentiments across pages.
This tool integrates with many popular business tools, including Slack, Hubspot, Optimizely, and Omniconvert.
Hotjar costs from $31/user/month, and a 15-day free trial is available.
Userlytics
Best for easy user experience testing
Userlytics is a cloud-based platform designed for remote user testing and research. It helps businesses understand the user’s journey by recording test participants interacting with the website or mobile app. Features include hyperlinked annotations, picture-in-picture recording, card sorting, device targeting, and tree testing.
Admins can define test goals and filter by country, age, gender, or technology. They can also create different tasks for participants. A live conversation feature allows hosts to schedule calls with participants or invite multiple viewers to the test.
This tool works as a mobile app for both Android and iOS.
Userlytics costs from $499/month. There is no free trial.
Pendo
Deploy customer onboarding and retention tools
Pendo is a product management solution designed to help with customer retention, user onboarding, and product planning. Using this tool, analysts can track individual features and test overall product usage across web and mobile apps. They can also create and distribute surveys to generate detailed insights into customer sentiment.
Thanks to the product roadmap module, admins can visualize product strategy and create plans based on multiple criteria. The software also captures feature requests, facilitates product optimization, and helps to generate more revenue.
This tool integrates with third-party apps such as Hubspot, Jira, Slack, and Salesforce.
Pendo offers customized pricing on request. A free plan with limited features is also available.
Datadog
End-to-end visibility into user journeys
Datadog is an analytics, monitoring, and network security platform for cloud-based enterprises. This SaaS platform integrates and automates application performance management, infrastructure management, and log management. Using this system, businesses get unified, real-time observability of the whole tech stack.
The software provides insight into front-end application performance from the perspective of real users. User journeys are correlated with synthetic tests, backend metrics, traces, and network performance data. Usage across mobile and web apps can be analyzed by browser, country, or any custom dimension.
This tool integrates with many business platforms, including Amazon AWS, Workday, Microsoft Azure, and Oracle.
Datadog costs from $15/user/month. A 14-day free trial is available.
Crazy Egg
Best for detailed heatmaps of user interactions
Crazy Egg helps organizations conduct A/B tests, understand user behavior and optimize content. Admins can analyze heat maps, scroll maps, and visual reports to see how people interact with their website. Other features include marketing analytics, project management, and a centralized dashboard.
Visitors can be traced back to their source in email or advertising campaigns. Additionally, admins can record entire user sessions and analyze the buyer’s journey in detail. It’s also easy to create custom reports.
This tool integrates with third-party platforms such as Shopify, Aweber, WordPress, and Wix.
CrazyEgg costs from $24/user/month. A 30-day free trial is available.
Creabl
Best for tracking conversion funnels and retention factors
Creabl is a software that helps businesses track website visitor and customer behavior and analyze their audience base. The software records user sessions, creates heatmaps of web pages, and allows users to build custom funnels to convert visitors into leads and paying customers. Teams can segment users and run cohort analyses, digging deeper into their data to understand the customer journey and key adoption factors.
Custom funnels can be built in the software to track and analyze how users purchase or subscribe to your product. Product teams can then use the retention tracking tools to understand feature usage, onboarding experience, and churn risks. They can use their tracking data to inform their customer success strategies and product development plans. The software can also be used to facilitate customer support, with a self-serve help center module, chatbot, and email sequence tool.
Paid plans start from $36 per month when paid annually, and a 30-day free trial is available.
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The 10 Best User Behavior Analytics Tools Summary
| Tool | Free Option | Price | ||
|---|---|---|---|---|
| 1 | Mouseflow Detailed data for every touchpoint of the user’s journey | 14-day free trial + free plan available | From $39/month | Visit Website |
| 2 | Mixpanel Best for in-depth reporting | Free plan available | From $20/month | Visit Website |
| 3 | FullStory Combines quantitative and qualitative data in real-time | 14-day free trial + free plan available | From $199/month | Visit Website |
| 4 | CleverTap Best for mobile-first products | 30-day free trial | From $99/month | Visit Website |
| 5 | Hotjar Best for all-in-one user behavior analytics | 15-day free trial + free plan available | From $59/month | Visit Website |
| 6 | Userlytics Best for easy user experience testing | Free demo available | From $499/month | Visit Website |
| 7 | Pendo Deploy customer onboarding and retention tools | 14-day free trial + free plan available | Pricing upon request | Visit Website |
| 8 | Datadog End-to-end visibility into user journeys | 14-day free trial | From $15/user/month (billed annually) | Visit Website |
| 9 | Crazy Egg Best for detailed heatmaps of user interactions | 30-day free trial | From $29/user/month | Visit Website |
| 10 | Creabl Best for tracking conversion funnels and retention factors | Creabl offers a 30-day free trial upon sign-up. | When paid annually, Creabl’s Pro plan starts at $36 per month. | Visit Website |
Other Options
Here’s a few more that didn’t make the top list.
- Indicative - Best for omnichannel customer journey analytics.
- PlaybookUX - Provides video-based feedback on user interactions.
- Contentsquare - Automated insights into user behavior.
- Dynatrace - Automatic and intelligent observability.
- Reveall - Maps customer journeys and prioritizes next actions.
- Smartlook - Combines session recordings with event-based analytics.
- Lucky Orange - Best for adding live chat to user behavior features.
How I Selected the Best User Behavior Analytics Tools
If you're wondering how I selected the best user behavior analytics tools, here's where I'll break it all down for you. First of all, I started with user behavioral analytics toolsthat have high user review and satisfaction ratings. Then, using my experience in CX, I discerned what key criteria were most important for user behavior analytics tools and compared how each of them stacked up against the rest.
I empathize with how much time it takes to source the right software for a job. I do this work so that you don't have to. I've been using and reviewing user behavioral analytics tools for years so you can trust me to do the heavy lifting and compile all the facts you need to make your final decision.
Selection Criteria
After careful consideration, I've determined that these are the most important criteria when selecting the best user behavioral analytics tools. Here's a brief list outlining the whats and whys of my selection.
User Interface (UI)
User behavior analytics tools be intuitive, easy to use, and visually appealing. A good user interface should also provide clear and concise information that is easy to interpret, allowing users to quickly gain insights into user behavior patterns. A poorly designed user interface can lead to confusion, errors, and potentially inaccurate insights. Selecting a user behavior analytics tool with a user-friendly interface can improve the efficiency and accuracy of the analytics process and ultimately lead to better business decisions.
Usability
Any behavior tracking software should must be intuitive and user-friendly so that it can be quickly learned and used by anyone in an organization, regardless of their technical expertise. If the tool is difficult to use, then it can lead to frustration, wasted time, and potentially inaccurate insights. Selecting a user behavior analytics tool with good usability ensures that it will be used effectively to drive business decisions and improve the user experience.
Integrations
Integrating with other software tools and platforms can help to streamline data collection and analysis processes, enabling users to gain deeper insights into user behavior. It can also help to reduce manual data entry and minimize errors, which can improve the accuracy of the data. Furthermore, software integrations can help to improve workflow efficiency and productivity, making it easier for users to work with the user behavior analytics tool alongside other software applications.
Pricing
Good behavior tracking software should be reasonably priced and provide value for the features and benefits it offers. Moreover, hidden fees or costs associated with the tool should also be considered to avoid unexpected expenses. Therefore, selecting a user behavior analytics tool with reasonable pricing and transparent cost structure can help to ensure that the tool is affordable and provides value for the investment.
Key Features
I expect the best analytics tools to include most or all of the following features:
- Session recordings: Admins should be able to record and replay individual user sessions.
- Real-time views: The ability to watch visitors as they interact with the website/app and identify problem areas.
- Page benchmarking: The option to compare the performance of two pages to see which is getting the better results.
- Advanced reporting: Detailed insights into the behavior of users, either individually or in aggregate.
- Mobile app: An option to use an Apple or Android app to analyze user data.
- Collaboration tools: Easy ways to share information and comments with other team members.
- User surveys: The option to offer pop-up surveys to visitors to gather direct feedback.
- Security: Solid safeguards to protect visitors and ensure data integrity.
People Also Ask
Here are a few questions I wanted to cover about user behavioral tools before I let you go.
How do you analyse user behavior?
Analyzing user behavior involves collecting and interpreting data about how users interact with a website, application, or system. Here are the steps to analyze user behavior:
- Define goals and metrics: The first step in analyzing user behavior is to define the goals of the analysis and the metrics that will be used to measure success. This could include metrics such as user engagement, conversion rates, time spent on site, and bounce rates.
- Collect data: The next step is to collect data about user behavior. This could include user activity logs, clickstream data, social media interactions, or surveys. There are several tools available to collect this data, such as Google Analytics, Mixpanel, and Kissmetrics.
- Identify patterns: Once the data is collected, it needs to be analyzed to identify patterns and trends. This could involve using statistical analysis or machine learning algorithms to uncover correlations and insights that may not be immediately apparent.
- Generate hypotheses: Based on the patterns and trends identified, hypotheses can be generated about why users are behaving in a particular way. For example, if users are spending less time on a website, a hypothesis could be that the website is difficult to navigate or lacks engaging content.
- Test hypotheses: The next step is to test these hypotheses by making changes to the website or application and measuring the impact on user behavior. This could involve conducting A/B tests, usability testing, or focus groups.
- Refine strategy: Finally, the insights gained from analyzing user behavior should be used to refine the strategy and improve user experience. This could involve making changes to the website or application, developing new features, or launching targeted marketing campaigns.
By analyzing user behavior, organizations can gain valuable insights into how users interact with their products or services, and make data-driven decisions to improve user experience and drive business success.
What are the examples of user behavior analytics?
User Behavior Analytics (UBA) refers to the process of collecting, analyzing, and interpreting data related to user activities and behaviors. It helps organizations to identify anomalous or suspicious behavior patterns, and detect potential security threats or fraud.
Here are some examples of user behavior analytics:
- User activity monitoring: This involves tracking user activity on systems, networks, and applications to identify unusual patterns or behavior that may indicate a security breach or data theft.
- Anomaly detection: This involves using statistical models and machine learning algorithms to identify deviations from normal behavior patterns, such as an employee accessing sensitive data at an unusual time or location.
- User profiling: This involves creating profiles of users based on their behavior patterns, such as the applications they use, the files they access, and the time of day they typically work. This can help identify changes in behavior that may be indicative of a security threat.
- Risk scoring: This involves assigning risk scores to users based on their behavior patterns and the level of access they have to sensitive data. This can help organizations prioritize security measures and respond quickly to potential threats.
- Insider threat detection: This involves monitoring user behavior for signs of malicious intent, such as unauthorized access to sensitive data or attempts to cover up tracks.
- Identity and access management: This involves managing user identities and access rights to prevent unauthorized access to sensitive data or systems. UBA can help identify potential security gaps in the system and recommend access controls accordingly.
Overall, UBA helps organizations to proactively detect potential security threats, minimize risks, and protect their sensitive data from unauthorized access.
What are the benefits of using user behavior research tools?
User behavior research tools can provide several benefits to organizations that want to improve their products or services. Here are some of the key benefits:
- Insights into user behavior: User behavior research tools can provide insights into how users interact with a website, application, or system. This can help organizations to understand user needs, preferences, and pain points, and identify areas for improvement.
- Data-driven decision making: By collecting and analyzing data about user behavior, organizations can make data-driven decisions about product development, user experience design, and marketing strategies. This can lead to more effective and efficient decision making, and ultimately better business outcomes.
- Improved user experience: By understanding how users behave and what they want, organizations can improve the user experience of their products or services. This can lead to increased user satisfaction, loyalty, and retention.
- Increased conversion rates: User behavior research tools can help organizations to optimize their websites or applications for conversion. By identifying areas for improvement and testing different designs and features, organizations can increase conversion rates and ultimately drive more revenue.
- Competitive advantage: By using user behavior research tools, organizations can gain a competitive advantage by developing products and services that meet user needs better than their competitors. This can lead to increased market share and revenue growth.
Overall, user behavior research tools can provide valuable insights and help organizations make data-driven decisions that improve the user experience, increase conversion rates, and drive business success.
What do you think about this list?
Am I on the right track with my suggestions? If you have another suggestion in mind, please let us know in the comments below. You may also like to check out our helpful articles on product analytics tools and the best user feedback software.
The world of user behavior analytics tools changes fast. We look forward to bringing you news of future developments.
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