Product Analytics reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.

Best Product Analytics Software for Enterprise Businesses

    Products classified in the overall Product Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Product Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Product Analytics category.

    In addition to qualifying for inclusion in the Product Analytics Software category, to qualify for inclusion in the Enterprise Business Product Analytics Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

    Top 6 Product Analytics Software for Enterprise Businesses

    • Amplitude
    • Pendo
    • Quantum Metric
    • Heap
    • Auryc
    • Mixpanel

    Compare Enterprise Business Product Analytics Software

    G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.
    Sort By:
    Results: 6
    View Grid®
    Adv. Filters
    (498)4.5 out of 5
    Optimized for quick response
    Entry Level Price:Free

    Why do 25 of the Fortune 100 and 41,000+ other teams (including the G2 product team) use Amplitude? Amplitude is a product intelligence platform that helps teams understand user behavior, ship the right product experiences fast, and drive business outcomes. Whether you want to understand how users are navigating through your application, which features engage them the most, or how to improve long-term user retention, Amplitude helps you answer questions critical to your product development str

    (388)4.5 out of 5
    Optimized for quick response

    Pendo is a product experience platform that helps software product teams deliver products users love. With Pendo, product teams can answer questions like which features are customers using? Which features are they ignoring? Which ones are driving delight and which are causing pain and confusion? From these same insights, you can easily set up in-app messages, guides and walkthroughs without any coding to help users get the most value from your products. By quickly identifying the specific featur

    (74)4.6 out of 5

    With a quick deployment, our platform starts to ingest and visualize everything your customers experience on web, native app, and kiosk. The impact of every customer interaction is automatically quantified, every customer session can be replayed, and most importantly, all your teams can work from a single version of truth. That’s why the biggest brands have taken the Quantum leap, such as Alaska Airlines, lululemon, Lenovo, and Western Union. Looking to learn more about the session replay space

    (460)4.4 out of 5
    Optimized for quick response

    Heap helps teams make smarter decisions. Heap automatically captures every user action on your website or mobile app, so you can analyze the usage patterns that drive conversion and retention. Our unique approach means that anyone can understand user behavior without having to rely on engineers to instrument events. Also, since Heap automatically collects events starting at the moment of installation, this data is available retroactively -- no need to wait for events to trickle in when you hav

    (83)4.8 out of 5

    Auryc is a client-side journey intelligence platform that surfaces real-time insights with powerful visual context across all of your digital ecommerce journeys. We are helping enterprises find and resolve the customer journey issues that directly impact conversions and customer satisfaction. Auryc’s like having an expert CX analyst in-house who witnesses and delivers deep ROI insights about what your customers are experiencing and why they are buying- or why not.

    (383)4.3 out of 5
    Optimized for quick response

    Mixpanel helps companies measure what matters, make decisions fast, and build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain—in real-time, across devices—to improve their user experience. Mixpanel serves over 26,000 companies from different industries around the world, including Expedia, Uber, Ancestry, DocuSign, and Lemonade. Headquartered in San Francisco, Mixpanel has offices in N

    Select Grid® View
    Select Company Size
    G2 Grid® for Product Analytics
    Filter Grid®
    Filter Grid®
    Select Grid® View
    Select Company Size
    Check out the G2 Grid® for the top Product Analytics Software products. G2 scores products and sellers based on reviews gathered from our user community, as well as data aggregated from online sources and social networks. Together, these scores are mapped on our proprietary G2 Grid®, which you can use to compare products, streamline the buying process, and quickly identify the best products based on the experiences of your peers.
    Leaders
    High Performers
    Contenders
    Niche
    Mixpanel
    Heap
    Pendo
    Amplitude
    Quantum Metric
    Auryc
    Market Presence
    Satisfaction

    Learn More About Product Analytics Software

    What is Product Analytics Software?

    For today’s tech companies, product development is a continuous process. This entails a perpetual cycle of testing and improving, based on not only technical performance, but on user behaviors and insights. In addition to soliciting feedback from your business audience, you can gain a deeper understanding of the user experience by monitoring product usage from all angles. If you offer a digital application of any type, the solutions in this category can help you uncover key metrics surrounding how your customers interact and respond to it.

    User engagement speaks volumes about your app, from its capabilities to its layout and beyond. The biggest mistake a developer can make is thinking they can steer the customer experience to its intended results without carefully measuring user response—and admitting mistakes or oversights—along the way. Each user is different, and it is impossible to create a platform that is advantageous to everyone. But the more user experience data you collect, the better you can identify and prioritize your improvements for the maximum response. With the right analytics solution, you will know how to optimize your platform for the current portfolio of customers as well as your future customers.

    Key Benefits of Product Analytics Software

    • Monitor product sessions for each user, from login to completion
    • Track the user’s experience with different features, events, and other performance aspects
    • Gather data about your most valuable users, from their demographics to key moments in their journey
    • Determine the most logical areas of improvement in relation to customer success and overall efficacy of your platform

    Why Use Product Analytics Software?

    If your business has a unique, customer-facing digital platform, the products in this category could greatly benefit your organization. Routine analysis of user sessions can pave the way for critical updates and keep you abreast of overall customer behaviors and the response to different aspects of the product. Depending on the complexity and popularity of your product (or products) there may be a great deal of data worth collecting. Working to track and improve your products in this way is not only beneficial to you and the customer but is part of being a responsible business owner.

    Product analytics vendors are continually improving these offerings, including leveraging emerging technology such as machine learning. A modern platform with embedded analytics can help maximize your customer retention and revenue through generated high-level insights that were previously unobtainable. The solutions in this category may integrate with, or offer features of, other software related to customer data and product optimization to help your innovation teams drive better business outcomes and provide the best experience possible.

    Who Uses Product Analytics Software?

    The data made available from these platforms is useful across an organization, as it provides a window into a brand’s customer base and their relationship with a product. With that being said, there are certain individuals or departments who are more ideal end users of this technology and who can most readily learn from and apply the detailed product data generated with these products.

    Product teams — Your product engineers and managers have the highest degree of ownership over an app’s performance, from its day-to-day usage to any various issues that may arise. The detailed analysis offered within these platforms helps product specialists keep their finger on the pulse of a product with real-time visualization of the KPIs they deem most critical for maintenance and improvements. A product team may collect valuable insights from a variety of sources, including social media and third-party data sources. With an in-house product, these teams can establish a seamless flow of timely information, which gives them a bird’s-eye view of a product’s usage so they can react accordingly every step of the way.

    Developers — There are millions of independent developers and small development teams working around the clock to bring exciting technology to the masses. Many of the business products featured on G2 were designed and made available by ambitious developers, who are also tasked with sales, support, and updating these offerings after their release. These individuals might benefit from the self-service analytics and convenient data preparation that a product analytics tool provides to users.

    Data analysts — A number of businesses employ specialized data analysts, either internally or through a third-party agency. These individuals are experts in data analytics across the spectrum of any organization and can translate analytics reports into actionable insights for executives and department leads. Analysts might leverage a number of technologies, including those featured in this category. Using a product analytics platform, analysts can help an organization understand what works and what doesn’t with regard to a proprietary business application.

    Even if you plan to have others on your staff use this software, it does not hurt to have analysts give a second opinion, help you decipher any unstructured data, and offer suggestions toward an ideal product roadmap based on the software’s findings. You might also consult with a testing and QA provider at some point in your product lifecycle to help measure performance and identify potential flaws in your product.

    Product Analytics Software Features

    The diverse solutions in this category are composed of various features designed to help companies understand their user base, as well as tracking and monitoring the day-to-day details of a product’s usage. Each tool is unique, and the best way to understand its offerings is to read reviews on G2, visit product websites, and consult with a vendor’s sales representative. The following are some primary capabilities you may come across when researching this software.

    Customer analytics — Who exactly is using your product? Unlike the hospitality industry or other customer-facing businesses, software usership often lends itself to questions about customer demographics and the like. Furthermore, product teams stand to benefit from a deeper understanding of their audiences, specifically how they interact with a product and where it fits into their daily routine.

    Customer analytics features are designed to uncover these insights, allowing developers to get to know their audience and behaviors. Customer journey analysis is key to optimization, aesthetic choices, and effective messaging. With these features, your team can compare different segments of users so they know who the super users might be, along with which regions are most active in your community. The more granular this understanding, the more your brand can deliberately shape a particular experience around the right people and maximize user retention as a result. In some cases, these features might also offer insight into the user’s personal intent or other context leading up to certain actions or decisions within a program—in addition to where sessions end or run into complications. Knowing these details about the user experience can help brands see how, when, and why the product is being used, which can help with targeting, messaging, and feature development.

    Feature performance analytics — The other side of notable session events is the features or product components themselves. In B2B technology, as with consumer technology, features come and go based on what resonates. At the very least, programmers will modify select capabilities to strengthen them, remove kinks, or simply redesign them to be more accessible, intuitive, or aesthetically pleasing.

    Businesses can leverage product analytics software to learn which features drive engagement and which ones do not. With this information, development teams can map out future versions of a product with a greater emphasis on the desired features, perhaps eliminating less popular ones altogether. With certain tools, users can go more modular with this data, to understand how particular components are performing and where they fall in the timeline of significant events. Administrators may be able to create alerts or push notifications for when specific features are seeing notable activity. These products may offer features of or integrate with application performance monitoring (APM) software to provide the timeliest insights possible for development teams so they can quickly correct issues or prioritize improvements when needed.