8 Best Session Replay Software Tools for Teams in 2026

Session replay software records how people interact with your website or mobile app. It captures clicks, scrolls, taps, and navigation patterns, then reconstructs them into video-like playbacks you can watch later. Think of it as a DVR for your digital product or experience.

While traditional analytics tell you what happened in aggregate—like how many people dropped off at checkout—session replay shows you how individual customers moved through your product. You see where they hesitated, what confused them, and where things went wrong.

Session replay uses a JavaScript snippet or mobile SDK to capture changes to your webpage’s structure (the Document Object Model, or DOM) along with user actions. Instead of recording actual video, the tool like mouse movements, clicks, form inputs, and scrolling. When you play back a session, the tool reconstructs what the user saw by replaying those events.

This approach creates smaller files than video recordings. More importantly, it makes sessions searchable by user properties, events, or behaviors—something you can’t do with traditional screen recordings.

Modern tools include privacy controls that automatically mask sensitive fields like passwords and credit card numbers before data leaves the browser. Teams can configure additional rules to block or obscure any element containing personally identifiable information.

When you’re evaluating session replay software, focus on capabilities that help your team find insights quickly:

• Real-time recording: Capture sessions as they happen so you can investigate issues immediately
• Search and filtering: Find specific sessions by user behavior, demographics, or technical attributes
• Privacy controls: Automatically mask sensitive data and configure custom rules for compliance
• Integration capabilities: Connect with analytics platforms, support tools, and experimentation systems
• Mobile compatibility: Record both web and mobile app sessions with native SDKs
• Lightweight performance: Minimal impact on Core Web Vitals with small file sizes and smooth, high-quality replays
• No data sampling: Capture every session in full detail so you never miss critical user behaviors or edge cases that sampling might overlook

The difference between basic and powerful tools often comes down to how well they connect replays with broader behavioral data.

Amplitude

Amplitude is the only platform that unifies session replay with comprehensive product analytics and experimentation. Teams analyze behavior, watch real sessions, and test improvements without switching tools.

Overview

Amplitude’s Digital Analytics Platform includes built-in that connects qualitative video with quantitative behavioral data. When you identify a drop-off in a funnel or spot an interesting user segment, you can jump directly to watch those specific sessions. You’re not watching random recordings—you’re watching sessions that matter based on your analysis.

Key features

Session Replay automatically links to your analytics. The event timeline synchronizes with video playback, showing exactly which events fired as users moved through your product. Frustration signals like rage clicks and dead clicks surface pain points instantly, while technical details such as console logs and network activity make troubleshooting fast and precise.

Advanced privacy controls meet enterprise requirements, with automatic masking and configurable rules. Experimentation capabilities integrate directly with replays, so you can watch sessions from different test variants to understand why one performs better. Teams get unlimited seats with role-based permissions.

Amplitude pros and cons

Pros:

• Single platform eliminates context switching between tools
• Deep behavioral insights connect replays to retention, conversion, and engagement data
• Enterprise-grade security and compliance features that protect user data
• Scales to handle massive data volumes without sampling
• Works across web and mobile
• Replays have no latency for users

Cons:

• Event instrumentation provides the most value, but this may take more technical investment (Autocapture simplifies setup).
• Advanced features like cohort analysis and predictive analytics require higher-tier plans

FullStory

is a point solution focused on . It offers strong UX visualizations but limited depth in product analytics compared to comprehensive platforms.

Overview

FullStory positions itself as a replay tool with heatmaps for UX teams. It emphasizes frustration detection and page flow analysis, capturing interactions automatically and flagging potential issues like rage clicks.

Key features

FullStory auto-captures user interactions and provides rage click detection to identify moments of user frustration. The tool includes basic funnels and pathing alongside heatmaps and error signals.

FullStory pros and cons

Pros:

• Strong UX visualizations help identify interface problems
• Frustration signals surface pain points quickly

Cons:

• Lacks native experimentation capabilities
• Data sampling on high-traffic sites can limit completeness

LogRocket

LogRocket takes a developer-focused approach to session replay, integrating performance monitoring and debugging tools. It works as a point solution for engineering teams rather than a comprehensive analytics platform.

Overview

LogRocket combines session replay with console logs, network requests, and error tracking to accelerate debugging. Engineers see the technical context behind user sessions, including stack traces and Redux state changes.

Key features

The platform provides stack traces and performance metrics alongside session recordings, with Redux and state inspection capabilities. Network timelines show API calls and responses, while integrations with Jira and other issue trackers streamline bug reporting.

LogRocket pros and cons

Pros:

• Debugging context helps engineers find root causes quickly
• Technical details like console logs and network activity speed troubleshooting

Cons:

• Limited product insights without exporting data to analytics tools
• Basic segmentation and analytics compared to product-focused platforms

Hotjar

Hotjar provides a lightweight solution for small businesses, combining basic session replay with surveys. Sampling limitations on high-traffic sites can affect data completeness.

Overview

Hotjar offers an entry-level toolkit with a simple interface designed for quick insights. Small teams use it to get started with replay and basic behavior analysis.

Key features

The platform includes heatmaps showing clicks, mouse movement, and scrolling patterns. On-site feedback widgets and surveys gather qualitative input, while basic funnels and recordings provide behavioral context.

Hotjar pros and cons

Pros:

• Affordable pricing makes it accessible for small teams
• Easy setup gets you recording sessions quickly

Cons:

• Sample-based capture may miss important sessions on busy sites
• Limited scalability and advanced analysis capabilities

Microsoft Clarity

Microsoft Clarity offers free basic session replay with constraints around custom events and regional data storage.

Overview

Clarity provides free session replay with basic heatmaps, backed by Microsoft’s infrastructure. Teams looking for a no-cost entry point use it for fundamental replay capabilities.

Key features

The tool includes unlimited recordings with click, rage, and dead click detection. Setup requires minimal configuration, making it accessible for teams without technical resources.

Microsoft Clarity pros and cons

Pros:

• Free pricing with generous session limits
• Quick implementation gets you recording immediately

Cons:

• Lacks robust product analytics and custom event tracking
• Potential compliance concerns around regional data residency

ContentSquare

Overview

is an enterprise experience analytics tool that pairs session replay with heatmaps and journey tracking. It focuses on visualizing how users engage with individual page elements and identifying points of friction.

Key features

The platform captures all interactions and builds zone-based heatmaps that highlight engagement by element. It includes path analysis, error detection, and integrations with A/B testing and analytics tools.

ContentSquare pros and cons

Pros:

• Detailed visual analytics across pages and elements
• Enterprise-level compliance and data hosting options

Cons:

• Expensive for smaller teams
• Setup and reporting can be complex

Glassbox

Overview

Glassbox combines session replay with compliance-focused analytics for regulated industries. It emphasizes full-fidelity recording and strong privacy controls over advanced UX visualization.

Key features

Glassbox indexes every session for instant retrieval and includes journey mapping, error tracking, and anomaly detection. Integrations with CRM and support systems let teams replay experiences directly from customer records.

Glassbox pros and cons

Pros:

• Full capture with no sampling
• Strong privacy and security features

Cons:

• Interface feels dated
• Limited UX visualization tools

Quantum Metric

Overview

Quantum Metric focuses on identifying user friction and technical issues through continuous session replay and real-time analytics. It’s aimed at larger teams that need to connect behavior data with performance signals.

Key features

The platform detects anomalies automatically and assigns impact scores to help teams prioritize issues. It includes performance monitoring, event tracking, and integrations with analytics and experimentation tools.

Quantum Metric pros and cons

Pros:

• Real-time issue detection and prioritization
• Works across web and mobile

Cons:

• Complex setup and navigation
• Pricing geared toward enterprise budgets

Pricing models vary significantly across session replay tools. Common approaches include per-session charges, monthly volume caps, and unlimited plans. Some tools charge steep overages during traffic spikes or seasonal peaks, while others offer predictable flat rates.

Sampling affects both cost and data quality. Tools that sample sessions reduce storage costs but may miss critical user experiences. Check whether the tool captures 100% of sessions or uses sampling thresholds.

Other pricing factors to review include data retention periods, seat limits, and add-ons for mobile SDKs or advanced privacy features. Contract terms matter too—can you scale up and down based on seasonal needs?

Start by identifying your primary use case. Support teams prioritizing fast issue resolution have different needs than product teams working on conversion funnels.

Integration requirements matter. If you’re already using analytics, experimentation, or customer data platforms, choose a tool that connects seamlessly with your existing stack. Point solutions that operate in isolation create context-switching overhead and make it harder to connect insights across tools.

Privacy and compliance requirements vary by industry and geography. Confirm the tool supports the features you need, from automatic field masking to configurable privacy rules and regional data storage.

The most important question: do you need just replays, or do you want to connect qualitative sessions with quantitative product analytics and experimentation? Standalone replay tools show you what happened. Platforms that unify analytics, replays, and testing help you understand why it happened and what to do about it.

Amplitude uniquely connects qualitative session replays with quantitative product analytics and experimentation in a single platform. When you identify a conversion drop-off in your funnel, you can immediately watch sessions from affected users without switching tools. When you run an A/B test, you can watch sessions from each variant to understand why one performs better.

This integration eliminates the context switching that slows teams down. Instead of exporting data, building dashboards, and jumping between tools, you analyze behavior, watch sessions, and test improvements in one unified workflow. Product managers see both what users do and how they experience the product. Engineers debug issues with full behavioral context. Marketers refine campaigns with clear visibility into user journeys.