Find the best Product Analytics Software
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Whatfix is a customer experience management platform that helps small to large businesses manage and personalize application engagement. It comes with an Electronic Performance Support System (EPSS), which enables users to perform...Read more about Whatfix
Logi Symphony is a highly flexible browser-based embedded business intelligence (BI) and analytics platform. Software teams use Logi Symphony to embed interactive managed dashboards, self-service dashboards, and pixel-perfect repo...Read more about Logi Symphony
Pendo is a product management solution that helps businesses in educational technology, healthcare and financial services streamline operations related to customer retention, user onboarding, product planning and more. It enables ...Read more about Pendo
UXCam is a mobile analytics software designed to help businesses analyze sessions, events, screen flows, heatmaps and more. The platform enables managers to record screen activities in various formats including video playback and ...Read more about UXCam
Mixpanel is a product analytics solution that helps businesses gain insights into audience behavior and track customer journeys. It enables managers to convert leads into customers, generate custom reports, build funnels, view top...Read more about Mixpanel
LogRocket combines session replay, product analytics, and error tracking – empowering software teams to create the ideal product experience. Using LogRocket, Software teams can fix user-reported issues faster, de-noise their erro...Read more about LogRocket
Smartlook is a cloud- and mobile-based quantitative analytics solution that helps businesses of all sizes with user behavior and insights. Smartlook answers the ‘what’ and ‘why’ behind every user action. Primary featur...Read more about Smartlook
Totango is a cloud-based customer success and retention platform. It enables an enterprise to accelerate customer success, adoption, retention and expansion by managing all post-sales activities. It increases the conversion rate b...Read more about Totango
Kissmetrics is a cloud-based customer engagement and email campaign automation solution. It helps businesses understand website visitors through behavior-based analysis. Designed for small firms, it provides a centralized platform...Read more about Kissmetrics
LiveSession is a product analytics solution designed to help businesses analyze customers' behavior to enhance conversion rates, revenue and user experience. Teams can use session replays to view users' activity on websites and id...Read more about LiveSession
Gainsight PX is a cloud-based solution designed to help businesses of all sizes create product adoption strategies through analysis of customer engagement. Key features include feedback collection, audience segmentation, goal sett...Read more about Gainsight PX
Auryc is a cloud-based customer experience (CX) solution that caters to businesses across various industries such as vacation rentals, hospitality, fashion, apparel and more. Key features include a customer journey intelligence pl...Read more about Auryc
Google Analytics 360
Google Analytics 360
Google Analytics 360 is an enterprise-level analytics platform with in-depth performance indicators, such as ROI analysis reports. The app's primary function is to provide insights into customer behavior interactions with websites...Read more about Google Analytics 360
Mouseflow is a behavior analytics platform used to optimize website experiences towards improving conversions, perfect for UX professionals, Product Managers, Digital Marketers, startups, small businesses, and enterprises. With Mo...Read more about Mouseflow
Piwik PRO Analytics Suite allows for tracking users' online behavior and interactions with sites, digital products, and apps. With Piwik PRO, companies can make more informed decisions while respecting visitors’ privacy. Piwik PRO...Read more about Piwik PRO
Amplitude is a product analytics platform that helps businesses to track visitors with the help of collaborative analytics. The platform uses behavioral reports to understand users' interactions with products and provides insights...Read more about Amplitude
Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight. Get complete data with a single snippet...Read more about Heap
FullStory is a web-based digital intelligence system that helps optimize the client experience. It enables users to track and monitor each customer activity. From clicks to page transitions, everything is indexed automatically. Th...Read more about FullStory
UserIQ is a customer success platform designed to help businesses of all sizes capture customer feedback, reduce churn rates and create audience segments based on behavior. The application allows organizations to send NPS surveys ...Read more about UserIQ
NOLA is a call center solution designed to help businesses connect with customers through outbound or inbound calls in compliance with telephone consumer protection act (TCPA) regulations. It enables sales and marketing teams to i...Read more about NOLA
Buyers GuideLast Updated: March 16, 2023
Software Applications for Product Analytics
If you are a product manager or work at a product-based company, then you already know that using guesswork to design and market your products and services will not build better products or drive customer success. You need to know how users are using the product, whether the product is working, what the most important features are, what users like/dislike about the product, and where the customer churn is happening. Answering all these questions will help diagnose issues, develop improved digital experiences for the customer, and understand customer engagement.
Product analytics software helps you find answers to all these questions and understand user behavior and how a customer actually feels about the product. These tools track the customer journey by collecting data on how they interact with the product. Businesses can utilize the insights provided by such tools to understand critical issues such as poor conversion rate and product issues. This can help businesses develop actionable insights and improve customer satisfaction.
Before you dive into every data analytics tool in the market, you need to choose the right tool that will help you get the best results. This guide will help you understand the different factors you must consider when shortlisting a product analytics tool.
Here’s what we'll cover:
What is product analytics software?
Product analytics software is a set of tools that allow product managers and product teams to collect user-level data on how customers interact with their products via desktop websites, mobile websites, or applications. These software tools provide insights on user engagement, what features customers use, problems they face, and so on.
Product analytics help businesses understand user behavior by tracking their actions or engagements on the application site. Understanding user behavior will enable product managers to improve the user experience (UX) of their products which will lead to improved conversions, retention of customers, and all around, better products.
Data visualization in Mixpanel (Source)
Common features of product analytics software
Software features vary by product or vendor, but most product analytics platforms have the following features in common:
See and understand trends, outliers, and patterns in data in graphical representations using visual elements such as charts, graphs, and maps.
Product data management
Capture, organize and track product-specific data and information in a centralized location. This data includes product usage, features, design data, user feedback, and configurations.
Categorize and divide data into groups with common characteristics before analysis.
Analyze what happens after a customer interacts with your ads - whether they purchased the product, signed up for a free trial, downloaded your app. This helps you understand how your products are selling and at what rate you are converting leads.
Segment your customers into groups with similar characteristics or parameters such as demographics, gender, and buying behavior. This can improve your marketing analytics through targeted marketing messages to establish customer relationships.
Monitor customer interactions and which interactions bring about the most value. This includes, number of visits, total logins, number of tasks performed, files stored and deleted, and other parameters.
Analyze a series of events that lead towards an outcome on a website and how many users get through each of those steps. Example: the flow that starts with an advertisement-to-purchase journey in online advertising.
Trigger notifications or alerts via email to keep up with important and time-sensitive information.
What type of buyer are you?
Before evaluating software, you should assess the type of buyer you are. The majority of buyers in the insight engines market belong to one of these categories:
Product managers: The product manager of an organization has to understand their customers’ needs so that they can build useful products. They are mostly involved in conducting customer interviews, surveys, and examining product analytics. They can do so by collecting data from various sources including social media and other third party sources. But a product analytics tool can provide them with timely information on product usage, user engagement, time spent on the app/site and other key performance metrics (KPIs) seamlessly by integrating all data sources into one single organized view.
A fully-featured product analytics tool with dashboard customization, custom segments, session recording, and automatic data capturing features would be suitable for these buyers. It’ll help them monitor key user behavior with their products such as onboarding, free trial conversions, and new feature launches to increase customer retention and build better products.
Product designers: The product designer (especially the UX designer) is mostly responsible for UI and UX design of their products to provide end-users with the best possible experiences. Without proper insight into product features, it becomes difficult for developers and designers to innovate, and improve their product performance. They need a product analytics tool that can help them uncover user pain points and what customers like/dislike about the products they use.
They should opt for a tool that includes features for A/B testing, engagement measuring by feature, user analytics, and to visualize user configuration changes over time. Such data can help them eliminate bugs, fine-tune features, and verify product concepts. It allows developers/designers to test and speed up product design and better prepare for launch.
Benefits of product analytics software
Improved customer retention: Using product analytics software can help you uncover insights on user returns on your website over a period of time, time spent on the site, number of visits, and churned customers. By examining such key parameters through customer segmentation, engagement tracking, and data visualization, product analytics tools can help create strategies to improve retention over time, implement fixes, and improve product experience.
Better product marketing: The conversion tracking and customer segmentation capabilities of such software can help product managers and marketers of your organization sell a product to users. By tracking users’ digital footprints to see which marketing programs (emails, social posts, campaigns) bring more visitors, you can create more targeted campaigns and improve customer onboarding.
Market trends to understand
Here’s a recent trend in the global product analytics software market that you should be aware of:
Growing demand for AI/ML-enabled product analytics software: With the rise in the use of artificial intelligence (AI) and machine learning (ML) technology, product analytics software vendors are integrating AI to their platforms to enable automatic data capture of user level data, and scale personalizing digital experiences. AI-enabled analytics tools or product intelligence platforms with the help of machine learning capabilities can provide self-service, cross-platform analytics that uncovers answers, trends, correlations, and new questions in real-time. This can help product teams to make better and faster decisions by analyzing detailed behavior, user attributes, and channels.
Note: The application selected in this article is an example to show a feature in context and is not intended as an endorsement or recommendation. It has been obtained from sources believed to be reliable at the time of publication.