Grid® for Product Analytics Software
Product Analytics Software Definition
Product analytics software provides companies with visibility into user behavior by tracking and analyzing their interactions with a product. It is primarily designed for companies that offer digital products such as SaaS platforms, mobile applications, and web-based software. The goal is to understand the customer and how they engage with the product by monitoring visits, digital interactions, and events.
Companies can leverage these insights to optimize their product, increase engagement, and reduce customer churn. Ultimately, through dashboards and reports, product analytics tools identify what works with the product and what doesn’t—helping teams improve the overall user experience.
Product managers, developers, and designers commonly use product analytics software to establish data-driven decision-making when creating and optimizing product developments and roadmaps. These teams rely on identifying drop-off or struggle points to prevent high customer churn rates and poor product experiences.
Product analytics software typically integrates with data warehouses, customer data platforms (CDP), experimentation tools, feature management platforms, and customer engagement systems to support broader product-led growth and optimization strategies. Many product analytics tools are also equipped with heatmap tools, session replay software, digital analytics software, and user research software for comprehensive feedback on the customer and product.
To qualify for inclusion in the Product Analytics category, a product must:
- Track user interactions with a digital product, including visits, usage, events, and interactions
- Provide segmentation by demographics, preferences, or even device type
- Identify behavioral patterns and funnels to understand how customers flow through the product
- Provide cohort and retention analysis to evaluate user behavior over time and identify friction points, drop-offs, or behavioral patterns that may contribute to churn
- Provide dashboards and reports of visualized quantitative data
Product Analytics Grid® Scoring Description
Products shown on the Grid® for Product Analytics have received a minimum of 10 reviews/ratings in
data gathered by August 12, 2025. Products are ranked by customer satisfaction (based on user reviews) and market
presence (based on market share, seller size, and social impact) and placed into four categories on the
Grid®:
- Products in the Leader quadrant are rated highly by G2 users and have substantial Market Presence scores. Leaders include: Amplitude Analytics, LogRocket, Pendo, PostHog, Userpilot, Glassbox, Fullstory, Mixpanel, AppMetrica, Statsig, Contentsquare, and Lucky Orange
- High Performing products have high customer Satisfaction scores and low Market Presence compared to the rest of the category. High Performers include: June Analytics, Usermaven, Zipy, Dataroid, Custify, and ConvertCart
- Contender products have relatively low customer Satisfaction scores and high Market Presence compared to the rest of the category. While they may have positive reviews, they do not have enough reviews to validate those ratings. Contenders include: Heap, Whatfix, Nexthink, Hotjar, Medallia Digital Experience Analytics (DXA), Planhat, Conviva Operational Data Platform, Gainsight Product Experience, Sprig, Smartlook, UXCam, Mouseflow, Quantum Metric, LaunchDarkly, Tealeaf by Acoustic, and mParticle
- Niche products have relatively low Satisfaction scores and low Market Presence compared to the rest of the category. While they may have positive reviews, they do not have enough reviews to validate those ratings. Niche products include: VWO Insights - Web, UserVoice, Eppo, Kubit, cux.io, Kissmetrics, Appier AIRIS (formerly Woopra), Sherlock, SessionStack, Stormly, InnerTrends, and ChatHQ
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in any form without G2’s prior written permission. While the information in this report has been
obtained from sources believed to be reliable, G2 disclaims all warranties as to the accuracy,
completeness, or adequacy of such information and shall have no liability for errors, omissions, or inadequacies in such information.
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