Creating a product that fulfills the customers’ needs requires not just guessing, but much more. The best companies learn about their customers, understand their emotions and use facts and data to improve the quality of products. 

Product analytics tools help in these scenarios. These tools provide information about how people use your product. After using these tools, one can make better decisions because they explain important data about user actions. 

In this article we mentioned the top 10 product analytics tools that every team product should know. Stay tuned with us to know which tool is best for you and why? Having knowledge about various tools enables you to select the right one to build better products and offer great experiences for your customers at every step. 

Oxford Training Centre provides a Product Analytics & Metrics Training Course for product managers to support making data driven decisions through using the tools, metrics and consumer thinking necessary to ensure product success.

Top 10 Product analytics tools in 2025

Select one from the below mentioned top 10 tools that will help your product teams and build products according to customer needs. 

1. Mixpanel

It is the best tool that helps organizations to understand how customers or other people use their websites and apps. It provides ‌detailed reports about customer actions and how they make interactions with the product. 

So by using Mixpanel, one can track the user actions and see how different features and used over time. 

Mixpanel has the following features:

• Monitoring custom actions made by custom actions users.
• Dashboards to display data in a clear manner.
• Monitoring steps users take to achieve goals (funnels).
• Watching the paths users navigate through in the app.
• Monitoring how frequently users return (retention).
• Discovering patterns and trends in user information.
• Dividing users into segments (cohorts).
• Observing recordings of user sessions.
• Interfacing with other tools such as Google Cloud and Zapier.

Due to its advanced features, beginners may find it hard to use it properly. Furthermore, it is also complicated to setup te dashboards and reports properly. 

2. Heap

It is the digital tool that assists in analyzing the user data on its own. It is the best one to choose because of automatic collection of all user actions without setting up the tags manually. This means that product teams can analyze ‌past data easily and this tools also store a lot of information. 

Heaps offer some of the basic features:

• Grouping users by behavior.
• Tracking steps users take to complete goals.
• Mapping user paths, like Userpilot’s Paths.
• Showing heatmaps to see where users click.
• Checking how many users keep coming back.
• Studying what influences user actions or marketing success.
• Watching recorded user sessions.
• Create custom dashboards for specific insights.
• Engagement Matrix to measure user activity.
• Connecting with tools like WalkMe, Salesforce, Segment, and Shopify.

Beyond its pre-made templates, Heap offers little possibilities for altering charts and reports. Additionally, it lacks an engagement layer for more thorough interaction tracking.

3. Google Analytics

Google Analytics collects information from your website and apps to learn about how your customers behave.

Main features

• Live data tracking
• Intelligent automation and machine learning
• Reporting
• Origin source for users
• User behavior and conversions

How it assists product teams

Displays where visitors are, how long they spend on important pages, and if they have converted. Google’s intelligent tools forecast different views to save you time. Reports are easy to customize and share!

GA4 data

GA4 tracks events from more data sources (such as websites and apps), brings new measures of engagement, and enables you to track and display events without having your engineers perform the labor. You will still decide what you want to track.

When you’re toggling in and out of GA4 and Contentsquare, you can remove more in-depth insights. Contentsquare offers more data such as how long individuals are on a website, bounce rates, whether sales activity occurs, page views and intent reports of what the interested user wants

4. LogRocket

It is the tool that helps make websites and apps work efficiently for users. This tool is beneficial for developers , product managers and designers. People who want to improve how people use their web and mobile apps.

LodRocket offers various features:

• It captures user sessions on the web and mobile.
• It collects data on auto-pilot without requiring additional setup.
• It displays tables and charts to monitor user activity over time.
• It assists in understanding how users navigate through a site or app.
• It displays heatmaps, scroll maps, and click maps to determine where users are paying attention.
• It analyzes cohorts of users and how frequently they return.
• It integrates with other than 40+ tools such as Zendesk, Salesforce, and Jira.

Additionally its session search tool often has bugs, and one can not moderate session length for different products

5. PostHog

It is a free of cost tool that helps organizations to learn how people utilize their products by monitoring numbers and data. It was launched in 2020 and became popular due to offering various features.

• It tracks what users do.
• See how users move through steps (funnels).
• Watch trends over time.
• Show user paths.
• Check how many users come back.
• Find connections in the data.
• Let you create your own dashboards.
• Replay user sessions.
• Test new features with small groups.
• Run A/B and multivariate tests.

However, PostHog has many drawbacks. Running it on your own server can require a lot of effort and grow slowly. Additionally it is also not as easy to use as compared to other tools because it is open-source. 

6. Datadog

Datadog is a cloud service that monitors and analyzes server performance, databases, and other IT tools in real time. It mainly focuses on application and server performance, but it also looks at user journeys for your product so you can see end-user performance along with application performance, making it a strong for purpose ‘all-in-one’ platform to see both your product performance and users’ action through your product.

Core capabilities include:

• Tracking user journeys.
• Development of user session replay.
• Recording user actions, including clicks and purchases.
• Displaying and reporting data visually with dashboards.
• Testing endpoints.
• Sending alerts based on performance issues.
• Integrating with external tools such as GitHub and Jenkins.

But since Datadog is largely designed around engineering, it has a heavy learning curve and is not aligned well for those wanting a basic product analytics experience.

7. UXCam

It is a tool that helps understand how people prefer to use websites and mobile apps. Its central focus is to highlight what users do and why they do it. UXCam records user actions and clear insights are provided by the platform by combining event data with user action records.

UXCam offer following features:

• It capture data automatically
• It track certain user actions

• Analyzing screens users visit
• Studying user steps to complete tasks
• Showing user paths through the app or site
• Checking how many users keep coming back
• Grouping users by behavior
• Watching recorded sessions of user activity
• Connecting with other tools like Segment, Firebase, and Slack

This tool is easy to use and fulfills user needs. However, users who want detailed A/B testing and advanced data queries, may not prefer this tool. 

8. Hotjar

Hotjar is a product designed for UX designers, product managers, marketers, and researchers to see how humans behave on websites or apps. It assists in identifying issues and enhancing the user experience by providing detailed information on what happens on a page or screen. Hotjar does not display this information immediately, though.

Hotjar has numerous features in addition to session recordings and heat maps, including:

• Dashboards which can be customized to suit your purposes.
• Funnels between session videos to identify where users drop off.
• Trends to observe how things change over time.
• Frustration and engagement scores to manage recordings.
• Surveys for feedback from users.
• User interviews with automated scheduling and transcription.
• Access to more than 200,000 individuals for research.
• Integrates with tools such as HubSpot, Asana, Jira, Slack, Google Analytics, Mixpanel, and Zapier.

This makes Hotjar valuable for optimizing websites and applications by knowing more about user behavior.

9. FullStory

It is another tool that records every single action of the user such as users scrolling and clicking etc. It does not require any additional setup. This helps product teams see where users have lost interest or left, so they can improve the experience. 

Some of the important features of FullStory are:

• Capturing user actions automatically.
• Detecting when a user is stuck or frustrated.
• Analyzing the trend of user behavior. 
• Grouping various users on the basis of behavior.
• Tracking steps users take to complete tasks.
• Mapping user journeys.
• Checking how well users keep coming back.
• Watching how in-app messages affect users.
• Visual tools like heatmaps showing clicks and scrolls.
• Custom dashboards for easy data viewing.
• Integrations with tools like Salesforce, Slack, and Jira.

This tool also permits product teams to replay user sessions like videos to exact happenings. This helps to detect problems and fix them. However, it learning process is hard and sometimes highlights conflicting data, so users should be cautioned.

10. UserMaven

UserMaven is a web tool which assists product marketers, teams and agencies in accessing and understanding how users are engaging with their websites and products. It offers out-of-the-box reports and privacy-centered protections.

The main features include,

• Website tracking.
• Automatic event recording.
• Track custom events.
• Reported funnel analysis to show where users drop-off.
• Reported user journey tracking to show user paths.
• Trend tracking over time.
• User grouping (segments).
• Personalized dashboards.
• Connections to other applications.

However, many users reported the product does not offer deep reporting, or deep data insights, so they are requesting deeper insights.

Features that product analytics tools must have

Product analytics software enables you to see how individuals are interacting with your product. Some crucial elements to search for are:

• Event tracking: The software ought to capture activity such as clicks, page views, and form submissions. Some software does it automatically, others require initialization.
• Dashboards and reports: You prefer readable dashboards with pre-built templates and lots of varieties of charts to view your data unambiguously.
• Segmentation: This allows you to divide users into segments to discover more about various types of users.
• Session replay: This displays videos of the ways users use your product. It assists in discovering issues and enhancing user experience.
• A/B testing: The software must assist in performing tests by presenting various versions to users and monitoring which performs better.
• Integration: It must seamlessly integrate with other systems such as CRM or marketing software to exchange data seamlessly.

These capabilities enable you to make better choices and enhance your product