22 Best Product Analytics Tools To Identify Usage Trends In 2025

Mouseflow is a powerful product analytics tool designed to help businesses understand user behavior and improve website performance. By capturing real user activity, Mouseflow provides detailed insights into how visitors interact with a site, identifying usage trends and pinpointing areas for optimization. 

Two standout features include Mouseflow's heatmap and session replay capabilities. The heatmaps provide a visual representation of user interactions, showing where users click, move, scroll, and even where they lose interest. Session replays allow businesses to watch individual user sessions to help identify behavior patterns.

I also like Mouseflow’s feedback campaigns that enable businesses to gather direct input from users about their experience through targeted surveys and polls.

Integrations include Omniconvert, Adobe Target, AB Tasty, Convert Experiences, BigCommerce, WooCommerce, Shopify, Intercom, HubSpot, Google Analytics, Google Tag Manager, Zendesk, WordPress, Wix, Kissmetrics, and others.

Powered by big data and machine intelligence, Quantum Metric gives businesses a detailed overview of customer behavior. This is achieved using interactive customer experience journeys. These journeys help product managers to understand customers’ needs and struggles.

Quantum Metric automatically records user sessions for viewing as video replays, as well as creating step-by-step logs of user behavior. Heat maps show where users struggle, spotlighting opportunities for improvement.

This tool integrates with major platforms such as Salesforce, Google Cloud, Slack, and Google Analytics.

UXCam is a mobile app analytics tool built for teams that is intuitive for your entire mobile app organization. UXCam automatically captures, processes, analyzes, and visualizes user behavior data, making it easy to see the motives and behaviors behind the user experience.

Teams can comment on session recordings, heatmaps, and track journeys through funnels to understand the how and why of the customer journey.

UXCam integrates with major platforms including Firebase, Google Analytics, and Segment.

UXCam offers a free plan that includes 10,000 sessions/month, and a free trial with 100,000 sessions/month.

Google Analytics is the de facto application for analyzing user activity and behavior on websites and mobile apps. Over the years, it has grown into a powerful tool that provides detailed reports around user behavior, customer location, and per-click quotas. With the help of Google Analytics, it’s easy to see where visitors come from, what device they use, and how they interact with the website or app.

Ahmad Ali, Senior Manager of Growth Marketing at Arbisoft, described how his team took it further:

“By wiring up form tracking through GTM and GA4, I could see exactly which submissions came from which sessions and sources. Attribution became crystal clear, and we shifted budget toward the traffic that actually converted.”

His approach highlights how GA4 can go beyond surface-level analytics to directly inform smarter marketing and UX decisions.

Due to its universal popularity, Google Analytics integrates with a wide range of related services and tools. A few examples are GitHub, Stack Overflow, Twitter, and other Google products like YouTube. Google Analytics is free for most users.

Mixpanel enables organizations of any size to analyze user behavior cost-effectively. It provides interactive reports, shows which new features and functionalities are popular, and highlights power users.

You can build retroactive funnels and analyze conversion rates on the fly. This tool takes a different approach than most analytics platforms. Instead of analyzing by page views, it measures the actions or steps taken by people entering the application being monitored.

An action can be anything from uploading an image to streaming a video.

Mixpanel integrates with platforms such as Google Cloud, Optimizely, Zoho, and Slack. This tool costs from $20/month/account.

A free plan is available for up to 100,000 tracked users.

Fullstory is a product analytics tool and behavioral data platform designed to help you understand how users interact with your website or app. By injecting digital behavioral data into analytics stacks, technology leaders can make better, more informed, and customer-centric decisions based on actionable insights at every click. This allows you to identify pain points, improve the user experience, and ultimately build better products.

Its session replay feature lets you watch recordings of users' interactions on your site, giving you a window into what they experienced. It's more than just a video playback; session replay captures every click, scroll, and hover, letting you zero in on what users do and why they do it. This insight not only improves user experience but also helps detect malicious behaviors or fraud and identify high-value customers.

Additionally, Fullstory's heatmaps give you a visual representation of how users engage with different areas of your website or app. This helps your team see which elements users are interacting with most, and which ones might be getting overlooked. Combined with click maps, you can make more informed decisions about what to tweak or where to focus development efforts.

Some key integrations include Slack, Jira, Segment, Google Analytics, and Optimizely. 

Plerdy provides actionable insights that help teams make data-driven decisions to enhance website performance. With its suite of tools designed for digital marketers, UX designers, and business analysts, Plerdy helps you focus on understanding user behavior by refining customer journeys to enhance user experience and drive conversions.

Why I Picked Plerdy

I picked Plerdy because of its ability to provide detailed insights into user behavior through its heatmaps and session replay features. These tools allow you to visualize where users click, scroll, and hover on your website, offering a clear picture of user interaction patterns. Another feature is its ecommerce analytics, which helps you track and analyze sales data to optimize your sales funnel. These capabilities are invaluable for anyone looking to improve user engagement and drive conversions on their digital platforms.

Plerdy Key Features

In addition to its heatmaps and session replay capabilities, Plerdy offers several other features that can enhance your product analytics efforts:

• A/B Testing: This feature allows you to test different versions of your webpages to determine which one performs better in terms of user engagement and conversion rates.
• SEO Monitoring: Plerdy helps you track your website's SEO performance, providing insights into keyword rankings and optimization opportunities.
• Event Tracking: Monitor specific user actions, such as clicks and form submissions, to gain deeper insights into user engagement and behavior.
• Funnel Analysis: Analyze conversion funnels to identify where users drop off, helping you optimize the user journey and increase conversion rates.

Plerdy Integrations

Integrations include Google Analytics, Google Tag Manager, Slack, HubSpot, Trello, WordPress, Shopify, Mailchimp, Zapier, and Facebook Pixel.

Pendo is a product management application designed for customer-facing businesses like healthcare, educational technology, and financial services. By giving insights into user behavior throughout their product journey, Pendo helps you increase customer retention.

Targeted walkthroughs and messaging within the app help you improve onboarding and feature adoption. Data analysts can track features and product usage across both web and mobile applications.

This tool also allows product and marketing teams to capture, prioritize, and manage customer feature requests using Pendo Feedback. This provides a pipeline of product insights from sources such as user interviews, beta testing, reviews, and customer success check-ins. The resulting data can be combined with analytics to improve roadmap planning.

Pendo integrates with third-party solutions such as Algolia, Figma, HubSpot, Jira, Microsoft Teams, Slack, Salesforce, and Tableau.

This tool offers customized pricing upon request. A free plan is available, supporting up to 1,000 active users.

Introduction

Productboard is a product management platform designed to help you understand customer needs and deliver exceptional products. It centralizes product planning and development, making it easier for you and your team to align on priorities and strategies.

Why I Picked

Productboard stands out as a product analytics tool because it allows you to centralize customer feedback and insights, which is crucial for making informed decisions. By gathering all feedback in one place, you can identify trends and prioritize features based on real user needs. This focus on customer insights helps you ensure that your product development aligns with what your users actually want. Additionally, the platform offers data-driven prioritization, allowing you to make strategic decisions about what features to build next. This capability ensures that you're investing resources in the most impactful areas, supporting a more targeted approach to product development.

Standout Features - Descriptive Format

Features include centralized feedback collection, which helps you gather all customer insights in one place for easy analysis. The intelligent workflows connect user insights directly to feature ideas, ensuring that your product development is always aligned with customer needs. Data-driven prioritization allows you to decide which product bets to pursue with confidence, knowing that your decisions are backed by real data.

Integrations

Integrations include Jira, Azure DevOps, Zendesk, Slack, Microsoft Teams, Salesforce, Intercom, Email, Chrome Extension, Zapier, GitHub, and Trello.

Heap helps companies automate user analytics reporting by capturing every user action taken on a website. Built for medium to large-sized companies, it includes features such as an event visualizer, path analysis, and conversion charts. Unlike many competing tools, Heap does not need complex website integration.

It works ‘out of the box’ to capture all user activity. This ease of use helps product managers get the information they need fast. Basics reports and ad-hoc analytics are available even through their basic freemium plan.

Heap integrates with platforms such as Shopify, Salesforce, and HubSpot. Heap is free to use for 1 project and up to 10k sessions/month.

Paid plans offer customized pricing upon request.

Countly is a product analytics platform that helps you track and understand how users interact with your mobile, web, and desktop applications. By collecting data from various platforms, it provides insights into user behavior and product performance. 

One reason I like Countly is its user profiles feature, which lets you create and store individual profiles with metadata and custom metrics. This means you can identify issues specific users face and tailor improvements to meet their needs. Additionally, Countly offers customizable dashboards, allowing you to visualize key performance indicators relevant to your product and users. This centralized view ensures your team stays aligned and informed.

Additionally, its remote config allows you to segment changes in your app's interface based on different audience groups without altering the code. 

With Countly, you also have full ownership and control over your data, ensuring compliance with regulations like GDPR, CCPA, and HIPAA. This is particularly important if your organization prioritizes user privacy and needs to manage sensitive information responsibly.

For Amazon sellers seeking a product analytics tool that delivers actionable insights, Bitclu stands out with its tailored approach to enhancing sales performance. Designed specifically for the dynamic world of Amazon, Bitclu offers tools that help streamline inventory management, optimize product listings, and track real-time sales data. By leveraging Bitclu, you can address challenges like managing stock levels, understanding profit margins, and pinpointing conversion sources, making it a vital tool for boosting your marketplace success.

Why I Picked Bitclu

I picked Bitclu because of its specialized focus on Amazon sellers, offering features that directly address the unique needs of this market. The tool's real-time sales tracking with live graphs provides immediate insights into sales performance, allowing you to make timely decisions. Another standout feature is the profit estimation tool, which considers all costs to provide a clear picture of profitability. These capabilities make Bitclu an invaluable resource for sellers looking to optimize their business strategies and drive growth.

Bitclu Key Features

In addition to the features already mentioned, Bitclu offers several other capabilities that can enhance your product analytics experience:

• Competitor Analysis: Provides insights into competitors' strategies, helping you stay ahead in the market.
• Review Management: Enables you to manage and analyze customer feedback, which is crucial for product improvement and customer satisfaction.
• Repricing Tool: Adjusts product prices dynamically based on market conditions, optimizing sales and profit margins.
• Advertising Analytics: Analyzes the effectiveness of your advertising campaigns, helping you allocate your marketing budget more effectively.

Bitclu Integrations

Native integrations are not currently listed by Bitclu.

Flywheel is an all-in-one growth platform tailored for modern software companies looking to understand, engage, and convert their users more effectively. It positions itself as a unique solution that automatically offers deep insights into user behavior and engagement, claiming to outperform traditional analytics tools by providing more actionable data with minimal setup.

Flywheel's product analytics page emphasizes its capability to offer comprehensive insights into user behavior and engagement with minimal setup. It highlights features like account-based analytics, automatic event capture, and granular reporting tools. With a focus on understanding adoption patterns, feature analysis, and evaluating key user lifecycle events, Flywheel aims to empower companies to drive in-product adoption and growth.

Integrations include Salesforce, HubSpot, Segment, Intercom, and Stripe.

Flywheel costs from $200/month and offers a 14-day free trial. They also have a free plan.

Amplitude Analytics is a product analytics tool designed to enhance your understanding of user behavior and engagement. By providing insights into user journeys and essential metrics, it helps you make informed decisions to improve your product's performance.

Why I Picked Amplitude Analytics

One of the standout features of Amplitude Analytics is its focus on product and marketing analytics. This tool allows you to gain insights into user journeys, which is crucial for understanding how users interact with your product. With these insights, you can identify areas that need improvement and make data-driven decisions to enhance user experience. Additionally, Amplitude's session replay and heatmaps provide a visual representation of user interactions, such as clicks and scrolls, helping you see exactly how users engage with your product.

Another reason Amplitude Analytics makes the list is its feature experimentation capabilities. This tool supports A/B testing and personalized experiences, enabling you to test different features and measure their impact on user engagement. By experimenting with various features, you can optimize your product to better meet user needs and drive conversions. The ability to conduct feature experimentation is invaluable for teams seeking to make iterative improvements and deliver a product that resonates with users.

Standout Features

Features include guides and surveys, which allow you to collect user feedback and provide guidance directly within your product. Amplitude's data governance and security ensure that your data remains secure and compliant with industry standards. Additionally, the platform offers AI-driven insights, which help you analyze metrics and deliver actionable insights for informed decision-making. These features work together to create a comprehensive analytics solution that supports your product's growth and success.

• AI-Driven Insights: It incorporates AI agents for intelligent insights, automated reporting, real-time insights, and visualizations, aiding decision-making.
• Comprehensive Analytics: It provides both product and marketing analytics, including session replay, heatmaps, and feature experimentation, enabling detailed user behavior analysis.
• Data Management: Amplitude ensures data governance, security, and privacy, allowing users to unlock insights from data warehouses while maintaining data integrity.
• User Focus: The platform supports user acquisition, retention, and monetization across various industries, making it suitable for both startups and enterprises.

Integrations

Integrations include Segment, Salesforce CRM, Shopify, Google Analytics 4, HubSpot, Intercom, AWS Kinesis Firehose, Azure Blob Storage, BigQuery, Braze, Facebook Ads, and Optimizely.

Indicative, now known as mParticle Analytics, is a product analytics platform designed to help data-driven teams gain actionable insights into customer journeys. It connects directly to your data warehouse, allowing you to analyze user behavior without requiring any SQL knowledge.

Why I Picked Indicative

One reason I picked Indicative is its multi-path funnel feature, which lets you visualize conversion and retention paths to see where your users are engaging or dropping off. This is crucial for understanding customer behavior and optimizing your product to improve user engagement. Another compelling feature is its cohort analysis, which allows you to build behavioral cohorts that help identify the most engaging features and campaigns. This is invaluable for refining your strategies and increasing customer retention.

The customer journeys feature is another standout, as it uncovers the most common paths users take through your product toward conversion. By understanding these paths, you can make informed decisions about where to focus your efforts and resources. This feature supports your team in optimizing acquisition strategies and maximizing retention without needing any technical expertise.

Standout Features

Features include segmentation, which lets you ask and act on critical questions about customer behaviors, providing a personalized user experience. The dashboards and reporting feature allows you to create, track, and share metrics seamlessly across your team, making it easy to monitor KPIs and performance. Additionally, people insights enable you to explore every user’s journey, offering a comprehensive view of individual interactions with your product.

Integrations

Integrations include Snowflake, BigQuery, Redshift, Amazon S3, Firebase, GCP BigQuery, Google Cloud Storage, AWS S3, AWS Redshift, Snowplow, mParticle, and Segment.

Reviewbox is a platform that provides a suite of product analytics tools designed to enhance customer intelligence. With its focus on comprehensive data analysis, it helps businesses understand their customers better and improve products and services.

Why I Picked Reviewbox

One of the reasons I chose Reviewbox as a top product analytics tool is its ability to analyze customer data from various sources. By using machine learning and natural language processing (NLP), the platform uncovers essential themes in customer feedback. This capability allows you to transform feedback into innovative marketing and product strategies, which is invaluable for staying ahead in a competitive market.

Another feature that stands out is Reviewbox's integration of Voice of Customer insights. This integration offers a unified view of customer conversations, promoting faster decision-making. The platform's custom dashboards also break down data silos, helping your team access relevant insights quickly, and ultimately minimizing the time from insight to impact.

Standout Features

Features include social listening, which keeps you attuned to what customers are saying across platforms, and media monitoring, which helps track brand visibility and reputation. The platform also offers social benchmarking, allowing you to compare your performance against competitors and understand where you stand in the market. These features work together to give you a comprehensive understanding of your brand's reception and areas for improvement.

Integrations

Unfortunately, I wasn't able to find a list of specific integrations from the official website.

LogRocket helps development teams to fix software problems, improve conversions and maximize product engagement. It combines session replay, product analytics data, and performance monitoring in one platform.

Software developers can deploy these insights to create a better product experience for end-users. This tool reproduces user sessions with pixel-perfect replays. Team members can search for sessions by user to fix user-reported issues promptly.

By watching real users interact with the app, managers can make better product decisions. LogRocket integrates with popular software development tools such as GitHub, Jira, Trello, Sentry, and Mixpanel.

This tool costs from $99/user/month. There is a free plan which allows for up to 1000 sessions per month.

InnerTrends is combined product analytics and data science tool that generates reports that are easy to understand. Features include customer engagement scoring, full lifetime cycle tracking, and a growth opportunity finder. Users are tracked from first touch to sign up, then from onboarding to platform use.

This tool provides a range of pre-built reports designed to provide actionable insights quickly. All reports are in plain English, so everyone on the product team can easily understand their meaning. With InnerTrends, you can optimize the entire SaaS customer journey as a cohesive cross-departmental unit.

InnerTrends integrates with Mixpanel, Heap, Customer.io, Google Ads, and any other platform that has an API.

This tool costs from $79/user/month. A free 14-day trial is available.

monday.com is a project management platform that helps teams plan, execute, and track their projects. With customizable features and a variety of tools, it supports teams in marketing, sales, product development, and more.

Why I Picked monday.com

I picked monday.com as a good product analytics tool because of its customizable dashboards that allow you to visualize project data in a way that fits your needs. These dashboards offer a clear view of your progress and help you make informed decisions. Additionally, the platform's automation capabilities let you automate routine tasks, saving you time and allowing you to focus on more critical aspects of your project.

Another reason for my choice is the custom reporting feature that monday.com offers. The AI-generated insights are particularly helpful in identifying trends and making strategic plans for your projects.

Standout Features

Features include advanced portfolio and project management that provides enterprise-grade visibility into your projects. The platform also offers AI-generated insights that help improve decision-making by identifying trends and patterns. Furthermore, monday.com supports collaboration across departments, allowing teams to work together seamlessly on shared goals.

• Automation and Integration: Supports integrations and automations to streamline processes.
• Dashboards and Reporting: Offers high-level dashboards with over 20 chart types for visualizing metrics like workload and tasks, enabling data-driven decisions.
• CRM Analytics: Includes predictive analytics and AI-driven insights to turn data into actionable plans, enhancing customer relationship management.
• Sentiment Analysis and AI Insights: Provides sentiment analysis to gain insights into customer emotions.

Integrations

Integrations include Slack, Gmail, Microsoft Teams, GitLab, Mailchimp, Excel, Outlook, DocuSign, Google Drive, Trello, Zoom, and Salesforce.

Salesforce Service Cloud is a platform that helps you manage customer interactions across various channels. It's designed to enhance customer service through customizable features, allowing you to handle cases and improve overall service quality.

Why I Picked Salesforce Service Cloud

One reason I picked Salesforce Service Cloud is its robust case management capabilities. You can create, update, and close cases while customizing options for case fields and layouts. This allows for detailed tracking of customer issues, which is crucial for product analytics. Another great feature is its knowledge management system. By setting up article types and managing user access, you can provide your team with the information they need to resolve issues quickly, which in turn helps in analyzing customer interactions.

Standout Features

Features include incident management, which helps you track and resolve incidents efficiently. The platform also offers conversation intelligence, allowing you to set up next best actions based on detected keywords. Lastly, its service-level agreements (SLAs) feature lets you set up and manage entitlement processes and milestones, ensuring that you meet customer expectations consistently.

• Omni-Channel routing: Allows you to route work based on skills or queues, ensuring that the right team member handles each case. This feature not only improves service efficiency but also provides valuable insights into how your team is interacting with customers, which is essential for product analytics.
• Service console: Offers a unified interface for agents to manage customer interactions efficiently.
• Knowledge base: A collection of articles and FAQs that empower agents and customers to find answers quickly.
• Case management: Salesforce Service Cloud has tools for tracking and resolving customer issues effectively.

Integrations

Integrations include Jira, Microsoft Teams, Zendesk, Amazon CloudWatch, Slack, Google Operations Suite, PagerDuty, xMatters, Talkdesk, Dropbox, ServiceNow, and MuleSoft.