7 Best Product Analytics Tools For Every Team & Budget (OCT 2023)

7 Best Product Analytics Tools For Every Team & Budget (OCT 2023)

Mihael Cacic

Oct 26, 2023 • 14 min read

7 Best Product Analytics Tools For Every Team & Budget (AUG 2023)

Product analytics tools capture, visualize, and analyze user behavior on the web, allowing product teams to gain actionable insight on how to improve their apps and websites.

They provide a complete picture of not only how and where but also why users use your product in certain ways. This eliminates random guessing and gives you first-hand, unbiased information that can help you shape digital experiences.

Hundreds of product analytics tools exist on the market today. That’s why you—as a product analyst with the product’s best outcome in mind—should answer these questions to make an informed decision: 

Does the tool offer data capture automation or do you have to set up tracking manually? Most product analytics tools require you to set up tracking for every event and webpage element you want to analyze. However, user interactions are varied and unpredictable, so a tool that automatically collects all events would serve better to you.

Does the tool offer developer tools for advanced product analysis? There’s only so much conventional data collection methods can tell you about your product’s impact on customers. That’s why some platforms offer developer tools to collect and analyze network information, browser console logs, runtime exceptions, and other qualitative data.

Does the tool provide session replays? All product analytics tools collect quantitative data like click rate, session duration, bounce rate, and heatmaps. However, only a few offer session replays to gather qualitative data and help you understand why users do what they do.

To save you the fuss, we’ve selected the very best product analytics tools and answered these questions for each of them. That way, you can choose the tool that satisfies your needs and requirements the most.

Here’s our verdict on the 7 best product analytics tools available today.

Best Product Analytics Tools a Glance

  • SessionStack — Best for recording and replaying user sessions
  • LogRocket — Best for error tracking and frontend performance monitoring
  • Amplitude — Best for event-based analysis and experimentation

Best Product Analytics Tools: Executive Summary

Best OverallRunner-upThird-Best Alternative
Best for product managers to understand user behavior and improve the UX.Best for event-based analysis, testing, and experimentation. Best for developers that need error tracking and frontend performance monitoring.
Visit SessionStackVisit AmplitudeVisit LogRocket

Buying Guide & How We Rate The Tools 

When choosing a product analysis tool, it’s important to consider its best use cases and target audience. In addition to these, you should also keep in mind these four key factors:


Ease of Use: This score reflects how easy to use and how quick to master is the platform. How easy is it to install on your website and mobile apps? Do you need technical expertise to set up and update custom user events? Does it offer retroactive event capture? 


Features: Does it offer session recordings and replays? Does it offer built-in testing and experimentation? Does it offer tagless auto capture or do you have to manually tag events? Does it have voice, video, and text chats for user communication? 


Integrations: Does it integrate with third-party tools that provide missing functionalities? How easy is it to integrate into your existing tech stack? Does it support all major platforms? Does it connect with external data warehouses and cloud storage? 


Affordability: Given the number and quality of features, is it reasonably priced? Is its pricing information publicly listed? Does it offer a free lifetime plan? Is there a free trial or demo to test its features?


Note: low scores aren’t always bad.


Each tool has a specialty and excels in specific use cases. For example, a tool that’s specialized in data collection is often lacking in analysis and testing. That doesn’t necessarily mean it’s a lower-grade product overall, it just works better for specific purposes. So, choosing a tool shouldn’t depend on rating alone; you should also consider your requirements and the combination of features you need out of your product analysis tool.


With that being said, here’s a brief review of each platform.

Best Product Analytics Tools In 2023

Before we dive in, here’s a comparison table that outlines the features, strengths, limitations, and best use cases of each tool.

Best for session recordings, replays, and conversion rate optimization. Offers user segmentation, sales funnels, and developer tools.
Ease of Use:
Best for developers that need advanced error tracking and frontend performance monitoring. 
Ease of Use:
Quantum Metric
Best for data capture and recording user events. Built for speed, it allows you to gather large amounts of data in little time.
Ease of Use:
Best for collaborative product analysis. Offers a customizable dashboard for visualizing data.
Ease of Use:
Best for automatic insights from data capture. Offers analytics charts and enrichment tools to provide more context for your data.
Ease of Use:
Most powerful data analysis platform with built-in A/B testing. Best for data scientists and large teams that need enterprise software for analyzing data.
Ease of Use:
Best for in-house product management and employee experience.
Ease of Use:

SessionStack is being reshaped to meet the growing demands of its existing and future customers. The team is laser-focused on helping e-commerce businesses streamline their conversion rate optimization efforts for faster revenue growth. This is done through an industry-first AI capability – SessionStackAI, which is based on the rich session data the platform is already built to collect.


As part of the ongoing change, SessionStackAI is currently offered only as a paid pilot service with a 21-day free trial. To find out how SessionStackAI can help optimize your e-store with no effort, book a demo today 👉

1. SessionStack — Best for recording and replaying user sessions

Ease of UseFeaturesIntegrationsAffordability

SessionStack was founded with a vision to “create a better web experience for all.”

Its founder Alexander Zlatkov created this platform to help product teams collect and analyze unbiased user behavior data so they reveal all the untapped opportunities for product-led growth.

Top SessionStack Features:

SessionStack offers tagless auto-capture for in-depth user experience analysis, automatically collecting data on:

  • mouse events, 
  • JavaScript exceptions, 
  • network requests, 
  • DOM mutations,
  • and more.

This helps product managers analyze the unpredictable, assess user onboarding, remove friction points, and boost conversion rate and product adoption. Furthermore, it enables engineers to quickly reproduce and solve bugs so they can focus on product development.

What sets SessionStack apart as a product analysis tool is its ability to perform co-browsing, which allows real-time tracking as users interact with products. 

SessionStack strikes a perfect balance between pricing, features, and ease of use, making it the perfect tool for not only product managers but marketers and customer support teams as well.

SessionStack ProsSessionStack Cons
✅ SessionStack AI recommendations❌ No chat features
✅ Advanced insights and behavior analysis❌ No mobile app support
✅ User segmentation and sales funnels
✅ Pixel-perfect session replay
✅ Lots of integrations

Session Replay: Record and replay user sessions with pixel-perfect precision

The high-fidelity & no-time-lag recordings of user sessions makes SessionStack the best option for product managers and development teams in small to mid-sized enterprises who need the easiest way to gain digital experience insights.

Session replay isn’t unique to this SessionStack — LogRocket and Mixpanel offer similar tools. However, SessionStack offers superior recording quality in a more affordable package.

Moreover, SessionStack records ALL user sessions, as opposed to other platforms that only record samples from web traffic. And it operates faster and more efficiently — without any noticeable impact on site speed.

But there’s more.

It also offers SessionStackAI — an innovative tool that summarizes session replays and highlights the most important events, saving tons of time. It suggests UX improvements that will have the most impact based on the problems the user ran into during their session.

Automatic Instrumentation: Tagless autocapture for effectively measuring unexpected user behavior

During a user session, SessionStack automatically detects window resizing and scrollbar position, allowing you to determine the end user’s exact location on the browser at any given moment. 

It also tells you when the user has changed browsing tabs or windows, displaying an overlay when you don’t have the authority to view the new window. This way, your customers retain privacy and security during a session.

On the other hand, for customer support purposes, you can also set so that SessionStack automatically tracks individual users by: 

  • email, 
  • name, 
  • user id, 
  • or any other user-specific data. 

When something goes wrong, JavaScript throws exceptions that must be cleanly resolved. However, if these exceptions aren’t handled, SessionStack automatically logs them so you can forward them to your developers for proper resolution.

The main benefit of this feature is that you don’t have to manually tag your data and can even capture insights retroactively. You’ll know about any errors as is, no additional setting up needed. This is in stark contrast to tools like Mixpanel where you have to set up custom events beforehand and wait for developers to add new events.

Conversion Funnels: Use user data to set up segmentation funnels for conversion and retention rate optimization

While most product analytics tools stop at data capture and analysis, SessionStack takes this a step further and allows you to build conversion funnels that optimize your product’s conversion rates.

The funnels are instrumentation-free, so you don’t need any coding knowledge to set them up. Plus, the intuitive dashboard allows you to visualize user flows and measure conversion rates for any sign-up form, onboarding process, or cart steps. 

You can also refine funnel steps with subfilters and exclusion filters based on common attributes, session details, and events. SessionStack allows you to save user segments with unique names, allowing team members to automatically see and collaborate on them.

Developer Tools: Assess product impact on users using state-of-the-art dev tools

SessionStack developer tools allow you to store and inspect all network requests during a user session. This way, you can analyze network details like:

  • URL, 
  • request method,
  • status code, 
  • and web page headers.

Simply configure which details to be captured and you can examine the data at any point in the session recording.

In addition to network information, SessionStack also collects:

  • errors, 
  • warnings, 
  • info, 
  • and debug messages. 

And, it offers a DevTools-like experience, so you can easily explore the console and find any activity. But that’s not all, SessionStack allows you to replay the exact moment the activity was logged.

Another note-worthy developer tool are the session recording rules, which allow you to configure the start and end conditions for a session.

For example, you can avoid bots and denial-of-service attacks by filtering out IP addresses. And, while the default recording performance is exceptional, you can dive even deeper by filtering which URLs and page sections you want to monitor.

Use SessionStack if:

  • You want the best session recording and replays platform on the market.
  • You want advanced developer tools to improve user experience.
  • Your product team needs advanced insights and user analytics.

2. LogRocket — Best for error tracking and frontend performance monitoring

Ease of UseFeaturesIntegrationsAffordability

Since its launch in 2016, LogRocket has helped engineering and product teams understand how users interact with their products. It has also provided insight into how to improve each and every customer experience.

Top features include:

  • Data visualization,
  • Conversion funnels,
  • Path and cohort analysis,
  • Autocapture and event definition,
  • Data export.

LogRocket is best for product, design, and marketing teams that want to use user behavior insights to optimize their conversion rates and reduce churn. Unlike most competing products, it also offers conversion funnels and retention charts.

LogRocket ProsLogRocket Cons
✅ Automatic data export streaming❌ Complicated pricing model
✅ Session replays and recordings❌ Limited live chat tools
✅ Robust integrations with third-party tools and platforms❌ No built-in A/B testing

LogRocket Overview:

LogRocket reveals the “where”, “why”, and “how” users drop off from various parts of your websites, apps, or other digital products. For example, the conversion funnels tell you where users drop off, using session replays to give you more context of the event.

Additionally, path analysis retraces the user’s steps, highlighting branch-off points and any user experience issues along the way. You can combine this tool with cohort analysis to group users based on behavior, traits, metadata, or any other custom data.

After collecting this data, LogRocket provides actionable insights on how to improve your product. It automatically captures user events, allowing you to use retention charts to understand which specific actions are most likely to convert and retain users.

LogRocket Pricing:

LogRocket pricing start with a free lifetime plan that supports 1000 active user sessions and one month of data retention. Higher plans unlock more features, but their exact costs depend on the platform you’re using and the number of monthly sessions you reach. 

For example, the Team plan costs $99/month for 10,000 monthly sessions on the web. However, you’d have to pay $199 for the same number of monthly sessions on mobile applications. 

Use LogRocket if:

  • You want user experience issue reporting.
  • You want to deploy your product analytics tool in a custom environment.
  • You want to stream session data to a data warehouse automatically.

3. Quantum Metric — Best for data capture and recording user events

Ease of UseFeaturesIntegrationsAffordability

At its founding in 2015, Quantum Metric set out on a single mission — to help organizations use data to understand their customers better and build digital products faster. The company has managed to maintain a 98% customer retention rate in 2022, proving its good work.

Top features include:

  • Session replays,
  • Interaction heatmaps,
  • Client-side performance monitoring,
  • User journeys,
  • Customizable dashboard.

Quantum Metric is best for data-driven B2B and B2C product teams that want to capture data quickly and effortlessly. It relies on third-party tools for analytics, so it’ll work out best if you have an existing tech stack.

Quantum Metric ProsQuantum Metric Cons
✅ Multiple data capture strategies❌ Limited data analysis tools
✅ Session replays❌ Expensive and non-transparent pricing
✅ Excellent data visualization

Quantum Metric Overview:

Quantum Metric automatically records user sessions, capturing important metadata like user platform, API calls, and network details. It also logs hundreds of built-in events and errors as well as user-defined ones.

All this data is visible on a customizable dashboard right on your website. And you also get automatic alerts on aggregate behavior, user frustration, and any other metric you define. 

While Quantum Metric offers unparalleled data capture, its data analysis tools aren’t the most advanced. For example, it doesn’t offer built-in testing and experimentation, so you’ll have to use third-party tools for that. 

Quantum Metric Pricing:

Quantum Metric doesn’t list its pricing online, prompting you to request a product demo instead. However, most customers on forums and review sites claim a pricing of $5500/user/month, which seems pretty extreme compared to similar tools on the market.

Use Quantum Metric if:

  • You need a robust data capture platform.
  • You don’t need advanced data analysis or testing tools.
  • You want to record customer actions and events during user sessions.

4. Mixpanel — Best for collaborative product analysis

Ease of UseFeaturesIntegrationsAffordability

Mixpanel is a self-serve product analysis platform that has helped over 7000 companies across multiple industries build better products for their customers. 

Top features include:

  • Data collection and tracking,
  • Group analytics,
  • Custom dashboards for web and TV,
  • Conversion funnels,
  • Experiments and A/B testing.

Mixpanel is best for product development teams that need advanced collaboration and data visualization tools. It can also track several types of user interaction and offers multiple ways to analyze and experiment with them.

Mixpanel ProsMixpanel Cons
✅ Unparalleled user interaction tracking❌ Steep learning curve for beginners
✅ Customizable dashboards and UI❌ No tagless auto-capture
✅ Lots of integrations❌ No session recording or replays

Mixpanel Overview:

Mixpanel’s selling point is collaborative data and product analysis. That’s why it provides a fun and engaging dashboard for all team members to work on. For example, you can embed text, images, GIFs, and videos in your board to provide more context for your data. 

Data visualization isn’t Mixpanel’s only strong suit. It offers advanced analytics tools to help you understand user behavior and hidden patterns. You can also set performance goals and monitor metrics that help you quantify customer success.

One downside of using Mixpanel is that you can’t track a new kind of user event right after setting it up. If you forget to track an important metric, you’ll have to wait for your developer to add a new tracking code to your website.

Mixpanel Pricing:

Mixpanel’s pricing starts with the Starter plan that provides up to 20 million monthly user events, unlimited integrations and collaborators, and templates to get you started. And the best part? It’s free to use. 

With higher plans, you get up to 100 million events as well as additional features like group analytics, data pipelines, unlimited saved reports, and advanced access controls. These plans also offer up to $50,000 in credits to startups that are less than 5 years old.

Use Mixpanel if:

  • You want the best collaboration tools for product analysis.
  • You want to customize your reports with third-party tools like Figma and Coda.
  • You want full control over data storage and query.

5. Heap — Best for automatic data capture and insights

Ease of UseFeaturesIntegrationsAffordability

Heap was created to help businesses capture customer interactions, understand them, and confidently make data-driven decisions. It is designed for speed and scale, allowing product teams to quickly create exceptional digital experiences for millions of users.

Top features include:

  • Behavior-driven user segmentation,
  • Plug-and-play dashboard templates,
  • Session replays,
  • Bi-directional integrations,
  • Automatic event tracking.
Heap ProsHeap Cons
✅ User-friendly set up❌ Limited dashboard customization
✅ Session recording and replay❌ No custom events and event filtering
✅ Heatmaps and customer journeys❌ Limited reporting functionalities

Heap Overview:

Unlike most product analytics software where you have to manually set up every event you’re interested in tracking, Heap works out of the box to capture user interactions. Simply add a tracking code to your website’s header, and you can instrument any kind of event.

Heap is a feature-rich platform with click maps, scroll depths, and attention maps that help you understand how users interact with your product. It also provides charts and built-in performance monitoring that automatically alerts you about shifts in your metrics.

Heap Pricing:

Heap pricing plans start with a free plan that provides core analytics charts, 6 months of data history, and up to 10,000 monthly sessions. With this plan, you can test if Heap fits your product market.

The paid plans offer customer support, advanced analytics and customizations, data warehouse integrations, and many more. However, Heap does not provide public information on their exact costs — you’ll have to negotiate a custom pricing plan.

Use Heap if:

  • You want to collect data on user events and interactions with little effort.
  • You need enrichment tools to add more context to your data.
  • You want to use templates to save time building analytics dashboards.

6. Amplitude — Best for event-based analysis and experimentation

Ease of UseFeaturesIntegrationsAffordability

Amplitude was founded in 2012 with the philosophy that creating the best product requires a deep, cross-functional understanding of customer behavior. It has more than 1900 paying customers, including 26 of the Fortune 100, and has pioneered several advancements in product data analysis. 

Top features include:

  • Product insights with automated reports,
  • A/B testing,
  • Data quality checks,
  • Hundreds of integrations (Google Analytics, Braze, Facebook Ads…)
  • Built-in developer toolkit.

Amplitude is best for large, established businesses that handle large amounts of customer data. Its toolset makes it a perfect fit for data science and product development teams.

Amplitude ProsAmplitude Cons
✅ Advanced analytics tools ❌ No session replays
✅ Built-in testing and experimentation ❌ Requires technical expertise 
✅ Unified customer data platform❌ Complicated pricing model

Amplitude Overview:

Amplitude can perform every conceivable type of event-based analysis. What’s more, it provides templates to help you discover customer insights quickly.

In addition to Amplitude Analytics for capturing product engagement data, it provides a fully-featured test suite Amplitude Experiment with built-in A/B testing, user segmentation, and identity resolution. It uses a workflow-based design so your product team can follow experimentation best practices.

Despite its benefits, Amplitude is complicated to set up and can be overwhelming for small businesses. As an industry-standard software, it requires technical expertise and constant communication with developers.

Amplitude Pricing:

Amplitude prices its feature suites separately and doesn’t publicly list the exact costs of its pricing plans. Instead, you’ll have to contact the sales team to negotiate a custom plan.

However, the Starter plan, which is free to use, offers unlimited events and up to 50,000 monthly tracked users. You also get core analytics charts, advanced collaboration, and data planning tools.

Use Amplitude if:

  • You need an enterprise-grade product analytics platform.
  • You have a medium to large-sized product team.
  • You need more advanced data science tools.

7. Pendo — Best for employee experience and in-house product management

Ease of UseFeaturesIntegrationsAffordability

Todd Olson and Erik Troan founded Pendo to help product development teams keep up with rapidly changing user needs. It combines product usage analytics with in-app guidance and feedback tools to help businesses provide better product experiences.

Top features include:

  • In-app guides and customer communication,
  • Customer request and feedback auto-capture,
  • Synchronized data ecosystem,
  • Lots of integrations.

Pendo is best for companies that want to improve employee experience when dealing with customers. It’s also great for analyzing user experience on in-house products.

Pendo ProsPendo Cons
✅ In-app communication❌ No session replays or recordings
✅ Product roadmaps❌ Limited event tracking
✅ Mobile SDKs for all major platforms❌ Expensive pricing plans

Pendo Overview:

Of all the tools mentioned in this list, Pendo is the only one that offers first-class support for employee experience. It offers process analytics, allowing you to optimize your workflow, improve app productivity, and drive rapid improvements.

Pendo tracks inefficiencies as employees navigate between and across in-house apps and can uncover insights based on how specific employees use business-critical apps.

Pendo Pricing:

While Pendo’s pricing starts with a free plan, its lowest paid plan turned out to be quite expensive — costing $7000/year or $2000/quarter for just 2000 monthly users. You can get up to 10,000 monthly users at an increased cost.

Pendon also offers higher plans, but you must request a custom pricing plan.

Use Pendo if:

  • You want to support a wide range of mobile platforms.
  • You want to synchronize customer data across multiple platforms.
  • You want to improve your employees’ customer support experience.

The Final Verdict

If you combined the tools highlighted in this list, they would satisfy every need and requirement of product managers, sales teams, and development teams when it comes to product analysis. But, you’d be hard-pressed to find a single tool that covers every niche.

Some come close but their price is often hard to justify. That’s why it’s best to try out your favorites and see which one fits your requirements the best.

Having said that, here’s our verdict based on our testing and experience:

  • SessionStack for teams of all sizes that need high-fidelity session replays, conversion funnels, and the best co-browsing tools on the market.
  • LogRocket for product development teams that need advanced error tracking and developer tools.
  • Amplitude for data scientists and large companies that need enterprise-grade data analysis tools.

See what SessionStackAI can do for your business