# Best Product Analytics Software - Page 8

## How Many Product Analytics Software Products Does G2 Track?

**Total Products under this Category:** 95

### Category Stats (Aug 2026)

- **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Dataroid (+0.32%) - Among all products in this category, Dataroid recorded the largest rating increase compared to last month

_Last updated: August 06, 2026_

## How Does G2 Rank Product Analytics Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 22,900+ Authentic Reviews
- 95+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Product Analytics Software
 ![G2 Grid® for Product Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/product-analytics/grids.png?focus%5B%5D=19735&focus%5B%5D=17410&focus%5B%5D=1636&focus%5B%5D=145164&focus%5B%5D=68738&focus%5B%5D=73931&focus%5B%5D=23848&focus%5B%5D=28305)

Highlighted products: Amplitude Analytics, Pendo, Mixpanel, PostHog, LogRocket, Userpilot, Glassbox, and Contentsquare.

Underlying data: [Grid® JSON](https://www.g2.com/categories/product-analytics/grids.json?focus%5B%5D=amplitude-analytics&focus%5B%5D=pendo-io-pendo&focus%5B%5D=mixpanel&focus%5B%5D=posthog&focus%5B%5D=logrocket&focus%5B%5D=userpilot&focus%5B%5D=glassbox&focus%5B%5D=contentsquare)

**Sponsored**

### Fullview

Fullview is a cobrowsing and session replay platform built for customer support teams. Support agents get instant visual context on every ticket, so they can stop asking customers to explain what they see and start seeing it themselves. The platform brings together two tools support teams actually need: Cobrowsing - Join a customer's browser session in one click directly from your helpdesk. See their screen, share yours, take control when needed. No downloads, meeting links, or codes required from the customer. Session replays - Watch back exactly what customers did before filing a ticket. Full context without asking for reproduction steps. Real-time console data - Access live console logs during cobrowsing sessions or while reviewing replays for fast technical troubleshooting. Helpdesk integrations - Start sessions directly from Zendesk, Intercom, Salesforce, and HubSpot tickets. Everything stays in your agents' existing workflow. Privacy controls - Customizable data masking to protect sensitive information. GDPR and SOC 2 compliant infrastructure hosted on AWS (EU or US regions). Fullview is the only platform combining cobrowsing and session replays in one support-focused tool. Most competitors force teams to stitch together separate tools for live assistance and session context. Trusted by companies like Mews, Personio, Apollo, and Michelin. Mews resolves 55% of complex chat queries in-conversation with Fullview, maintaining CSAT above 90%. Built for B2B SaaS, software, and financial services companies that need to reduce diagnosis time on technical and UI-related tickets. The result: faster resolution, fewer touches per ticket, higher CSAT, and agents who spend less time guessing what customers are seeing.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1571&secure%5Bchosen_at%5D=2026-08-15T07%3A44%3A07Z&secure%5Bdisplayable_resource_id%5D=1398&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1398&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1191238&secure%5Bresource_id%5D=1571&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fproduct-analytics%3Fpage%3D8&secure%5Btoken%5D=2d06ad5b34e498dbbf087b1d0bae962cd73b5a4b92bb08518c26a35345f64c0e&secure%5Burl%5D=https%3A%2F%2Fwww.fullview.io%2F&secure%5Burl_type%5D=company_website)

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Spotlight Categories

[CMMS Software](https://www.g2.com/categories/cmms)

[Demand Side Platform (DSP)](https://www.g2.com/categories/demand-side-platform-dsp)

[Workforce Management Software](https://www.g2.com/categories/workforce-management)

[E-commerce Fraud Protection Software](https://www.g2.com/categories/e-commerce-fraud-protection)

[Employee Engagement Software](https://www.g2.com/categories/employee-engagement)

Similar Categories

- [A/B Testing](/categories/a-b-testing-tools)
- [Customer Journey Mapping](/categories/customer-journey-mapping)

- [Heatmap Tools](/categories/heatmap-tools)
- [Landing Page Builders](/categories/landing-page-builders)

- [Other Conversion Rate Optimization](/categories/other-conversion-rate-optimization)
- [Session Replay](/categories/session-replay)

[Browse Product Analytics Themes](/categories/product-analytics/themes)

 ![Alanna Iwuh](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Alanna Iwuh")
A

Researched and written by [Alanna Iwuh](https://research.g2.com/insights/author/alanna-iwuh)

Updated March 17, 2026

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](https://www.g2.com/categories/heatmap-tools), [session replay software](https://www.g2.com/categories/session-replay), [digital analytics software](https://www.g2.com/categories/digital-analytics), and [user research software](https://www.g2.com/categories/user-research) 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

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