10 Best Session Replay Software for 2026

Best Session Replay Software Reviews

1. 

   1

   Sentry

   Best for integrating replay and error monitoring

   • Free plan + 14-day trial + free demo available
   • From $26/month (billed annually)

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   For teams seeking to enhance their application’s user experience, Sentry offers a versatile solution that combines session replay functionalities with error tracking and performance monitoring. It's an ideal choice for developers and enterprises looking to gain actionable insights into user interactions on web and mobile applications. By providing a visual reproduction of user sessions, Sentry helps identify the root cause of issues without requiring manual reproduction or customer support intervention.

   Why I Picked Sentry

   I picked Sentry for its unique ability to integrate session replay with error monitoring, giving you a comprehensive view of user interactions and application performance. Session Replay provides video-like reproductions of user sessions, allowing you to see when and where errors occur, which is crucial for debugging complex issues. Additionally, Sentry's privacy controls protect sensitive user data while still providing detailed insights into application performance. This combination of features makes it a compelling choice for developers who need to quickly diagnose and resolve issues.

   Sentry Key Features

   In addition to its robust session replay capabilities, Sentry offers:

   • Breadcrumbs: Tracks events leading up to an error, providing context for debugging.
   • Performance Monitoring: Measures application performance to identify bottlenecks and optimize user experience.
   • Error Tracking: Automatically captures and alerts you to new errors, with detailed stack traces for quick resolution.
   • Integration with Development Tools: Seamlessly connects with tools like GitHub and Slack to streamline your workflow.

   Sentry Integrations

   Integrations include GitHub, Slack, Jira, Bitbucket, GitLab, Trello, Azure DevOps, Vercel, Netlify, and Datadog.

   Pros and Cons

   Pros:

   • Strong error tracking with clear stack traces
   • Performance monitoring for front-end and back-end applications
   • Detailed event timelines make debugging faster

   Cons:

   • Can generate large amounts of data at scale
   • Less focused on qualitative UX research features
   Learn more about Sentry:

   • Check out Sentry on their website
2. 

   2

   Mouseflow

   Best for friction-score-led session prioritization

   • Free plan available
   • From $25/month

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   Customer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Mouseflow is a session replay and behavioral analytics platform that captures user recordings, heatmaps, funnels, journey analytics, and form analytics alongside automatic friction signal detection.

   Who Is Mouseflow Best For?

   Mouseflow is a strong fit for product and UX teams who need to quickly pinpoint where users are getting stuck, without manually sifting through hours of session recordings.

   Why I Picked Mouseflow

   Mouseflow earns its spot on my shortlist because of how it handles friction detection automatically. Every session gets a Friction Score built from rage clicks, dead clicks, JavaScript errors, and bounces, so I can sort recordings by frustration level instead of watching them at random. The Friction Map then overlays those hotspots directly onto my pages, making it easy to see exactly where users are struggling without digging through individual replays.

   Mouseflow Key Features

   • Heatmap types: Mouseflow offers seven heatmap types—click, scroll, geo, attention, movement, friction, and interactive—so you can analyze user behavior across multiple dimensions on a single page.
   • Form analytics: Tracks where users hesitate, drop off, or abandon forms, giving you field-level visibility into form completion patterns.
   • Mina AI segmentation: Lets you pull session segments using plain-English questions, so you can find specific user groups without manually building filters.
   • Built-in surveys: Includes NPS and branching survey logic that links responses directly to session recordings for added behavioral context.

   Mouseflow Integrations

   Mouseflow lists 42 integrations, including Google Analytics, Adobe Analytics, Google Tag Manager, AB Tasty, Salesforce, Slack, and Microsoft Teams. It also offers an open REST API, extended API add-on, data export, and an MCP server for custom connectivity.

   Pros and Cons

   Pros:

   • Heatmaps, funnels, and replays share context
   • Friction maps reveal page-level problem areas
   • Friction scores prioritize frustrated sessions

   Cons:

   • Filtering and replay clarity need improvement
   • Native mobile app coverage remains limited
   Learn more about Mouseflow:

   • Check out Mouseflow on their website
   • Read my in-depth review of Mouseflow
3. 

   3

   Lucky Orange

   Watch dynamic heatmaps in real-time

   • 7-day free trial + free plan available
   • From $32/month (billed annually)

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   Customer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Lucky Orange is a session replay and behavior analytics tool that combines session recordings, dynamic heatmaps, conversion funnels, form analytics, and AI-driven insights in one platform.

   Who Is Lucky Orange Best For?

   Lucky Orange is a strong fit for ecommerce and marketing teams that need to connect session behavior directly to conversion drop-offs and revenue impact.

   Why I Picked Lucky Orange

   I picked Lucky Orange as one of the best because its dynamic heatmaps update in real time, so I can watch exactly where visitors are clicking and dropping off as it happens, not hours later. Pair that with Discovery AI, which lets me query sessions in plain English and get instant heatmap analysis with prioritized friction points, and I can move from a question to a fix without digging through raw data. Form Analytics adds field-level drop-off visibility, so I can see precisely which input is killing conversions and jump straight to the recordings behind it.

   Lucky Orange Key Features

   • Live visitor view: Watch individual visitors navigate your site in real time, without waiting for a session to end before reviewing it.
   • Form analytics: See field-level drop-off rates and time-on-field data, then jump directly to recordings of visitors who abandoned a specific input.
   • Conversion funnels: Track step-by-step drop-off across key user flows, with one-click access to recordings at each funnel stage.
   • Behavioral segmentation filters: Narrow recordings and heatmaps by device, traffic source, UTM campaign, or frustration signal before you start watching.

   Lucky Orange Integrations

   Lucky Orange offers integrations with Shopify, BigCommerce, Magento, HubSpot, Google Analytics 4, Google Tag Manager, Optimizely, and Zapier. It also provides browser JavaScript and Node.js libraries for custom integrations.

   Pros and Cons

   Pros:

   • Form analytics exposes field-level conversion drop-offs
   • AI prioritizes friction points for product teams
   • Real-time heatmaps reveal changing user behavior

   Cons:

   • Missing debugging timelines limits engineering investigations
   • Website-only tracking excludes native mobile experiences
   Learn more about Lucky Orange:

   • Check out Lucky Orange on their website
4. 

   4

   Glassbox

   Best for revenue-impact journey and funnel analysis

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Glassbox is a session replay and digital experience platform that captures 100% of user interactions without manual tagging, combining session replay, journey mapping, funnel analysis, struggle detection, and interaction maps across web and mobile.

   Who Is Glassbox Best For?

   Glassbox is a strong fit for enterprise product and analytics teams in regulated industries—like financial services and healthcare—that need to tie user behavior directly to revenue impact.

   Why I Picked Glassbox

   I picked Glassbox as one of the best because its Augmented Journey Map and Funnel Studio both surface revenue impact metrics directly alongside session replays, so you can see not just where users drop off but what that drop-off is actually costing. I love that funnels work retroactively on historical data without any tagging, which means you can investigate a drop you noticed last quarter without having instrumented it in advance. The proprietary Struggle Score then ranks problem pages by severity, giving you a clear, business-grounded case for what to fix first.

   Glassbox Key Features

   • Tagless session capture: Glassbox records 100% of user interactions automatically, with no manual tagging required, so historical sessions are always available for analysis.
   • GIA AI session search: An AI assistant lets you find and summarize sessions using natural-language queries, reducing manual review time.
   • Struggle Score: A proprietary scoring model ranks pages and screens by friction severity, helping you prioritize fixes by business impact.
   • Native mobile SDK: Supports iOS, Android, React Native, Flutter, and more, with crash replication and cross-platform journey tracking built in.

   Glassbox Integrations

   Glassbox offers documented integrations with Jira, Slack, Firebase, Google Analytics, Adobe Analytics, Qualtrics, Optimizely, and VWO. Its open API supports custom connections to other product and analytics tools.

   Pros and Cons

   Pros:

   • Struggle scoring prioritizes high-impact friction
   • Full capture preserves untagged historical behavior
   • Retroactive funnels connect drop-offs to revenue

   Cons:

   • Report creation requires onboarding time
   • Query responses can feel slow
   Learn more about Glassbox:

   • Check out Glassbox on their website
5. 

   5

   Crazy Egg

   Best for bundled A/B testing with heatmap replay

   • 30-day free trial available
   • From $29/month

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   Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Crazy Egg is a session replay and behavioral analytics tool that combines heatmaps, click tracking, scroll maps, session recordings, A/B testing, and conversion funnels in a single platform.

   Who Is Crazy Egg Best For?

   Crazy Egg is a strong fit for CRO marketers and product managers who want heatmaps, session replay, and A/B testing in one tool without juggling multiple subscriptions.

   Why I Picked Crazy Egg

   I've included Crazy Egg in my top picks because it's the only tool on this list that pairs session replay directly with built-in A/B testing, letting you watch how users behave and then run experiments on the same platform without switching tools. I love that each A/B test variant gets its own heatmap, so you can see exactly why one version outperformed another. The Frictionmap, which surfaces rage clicks, dead clicks, and error clicks visually on the page, makes it fast to spot where users are struggling before you decide what to test.

   Crazy Egg Key Features

   • Retroactive funnel analysis: Multi-step funnels recalculate automatically on historical data when you change steps, so you don't lose past insights.
   • JavaScript error tracking: Automatically detects JS errors and links each one to its associated session recording, including the raw stack trace and device details.
   • AI session summaries: Surfaces the most relevant recordings and generates plain-language summaries of usage patterns and UX issues across sessions and heatmaps.
   • Confetti maps: Breaks down individual clicks by 17+ metrics—including traffic source, UTM parameters, and device—directly on the page.

   Crazy Egg Integrations

   Crazy Egg offers integrations with Google Analytics 4, Google Tag Manager, Segment, Shopify, WordPress, and other CMS platforms. Its API supports custom server-side conversion tracking, while an MCP connector enables access through AI assistants.

   Pros and Cons

   Pros:

   • Error sessions connect bugs to behavior
   • Variant-level replay supports experiment decisions
   • Heatmaps expose product friction visually

   Cons:

   • No native mobile app session capture
   • Low recording caps limit discovery coverage
   Learn more about Crazy Egg:

   • Check out Crazy Egg on their website
   • Read my in-depth review of Crazy Egg
6. 

   6

   Quantum Metric

   Best for quantifying revenue impact of user friction

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Quantum Metric is a session replay and digital analytics platform that captures user behavior across web and native mobile, combining high-fidelity session recording, heatmaps, journey mapping, behavioral segmentation, and AI-powered analysis in one connected system.

   Who Is Quantum Metric Best For?

   Quantum Metric is a strong fit for enterprise product and digital teams that need to tie user friction directly to revenue impact.

   Why I Picked Quantum Metric

   Quantum Metric earns its spot on my shortlist because it's the only tool I've seen that automatically puts a revenue number next to a friction point. Its Opportunity Analysis surfaces rage clicks and drop-offs and then quantifies what those issues cost, so I'm not guessing at prioritization. Journeys maps real user paths across web and native mobile in real time, and I can drill straight from a drop-off step into the session replay that caused it.

   Quantum Metric Key Features

   • Felix AI session summaries: Generative AI automatically summarizes individual sessions and user journeys, surfacing friction points, errors, and user intent in plain language.
   • Behavioral segment builder: Nested segments built from event attributes, audience attributes, and step sequences apply across the entire platform, including funnels and journey maps.
   • Console and network diagnostics pane: A technical panel runs alongside every session replay, giving engineers the context they need to reproduce bugs with full network-level detail.
   • Experience alerts: Automated monitoring watches aggregate behavior and frustration signals, sending proactive alerts through Slack, email, and other channels when KPIs shift.

   Quantum Metric Integrations

   Quantum Metric offers integrations with Optimizely, Split, Slack, Jira, ServiceNow, Qualtrics, Looker, Tealium, and Adobe Experience Platform/CJA. A REST API supports custom integrations, including access to AI-generated session summaries.

   Pros and Cons

   Pros:

   • Adds network diagnostics beside every replay
   • Links journey drop-offs to session replays
   • Quantifies revenue lost to friction

   Cons:

   • Some AI analyses have usage limits
   • Segment searches can return incomplete results
   Learn more about Quantum Metric:

   • Check out Quantum Metric on their website
7. 

   7

   Fullstory

   Make every visitor interaction on your site searchable

   • Free plan available
   • Pricing upon request

   Visit Website

   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Fullstory is a digital experience analytics platform that combines session replay, heatmaps, funnel analysis, journey mapping, and behavioral segmentation with tagless autocapture and AI-powered session summaries.

   Who Is Fullstory Best For?

   Fullstory is a strong fit for product teams at mid-market and enterprise companies that need to connect qualitative session data to quantitative funnel and revenue metrics in one place.

   Why I Picked Fullstory

   Fullstory earns its spot on my shortlist because tagless autocapture means every click, scroll, and rage click is recorded automatically, with no manual event tagging required. I love that this retroactive data history lets you go back and analyze behavior from before you knew what questions to ask. Pairing that with session replay linked directly to funnel drop-off points means I can see exactly where users abandon a flow and watch the session that proves it.

   Fullstory Key Features

   • Tagless autocapture: Automatically collects every click, scroll, and interaction without any manual event tagging or instrumentation setup.
   • Journey maps: Visualizes the full paths users take through your product, including unexpected routes and drop-off points.
   • Sentiment signals: Detects frustration indicators like rage clicks and surfaces them alongside their estimated revenue impact.
   • Privacy-by-default masking: Renders sensitive fields as wireframes in replay so you see interaction context without exposing user data.

   Fullstory Integrations

   Fullstory offers integrations with Segment, Adobe Analytics, and Google Tag Manager, plus data warehouses and cloud storage through Fullstory Anywhere: Warehouse. Webhooks, Data Export, Element API, FS.Identity API, and Consent API support custom connectivity.

   Pros and Cons

   Pros:

   • Privacy masking preserves interaction context
   • Replay links funnel drop-offs to sessions
   • Retroactive behavior history reduces instrumentation gaps

   Cons:

   • Event tracking trails replay capabilities
   • Reviewing many sessions becomes time-intensive
   Learn more about Fullstory:

   • Check out Fullstory on their website
8. 

   8

   UXCam

   Best for AI-driven mobile session friction analysis

   • Free demo + 14-day free trial available
   • Pricing upon request

   Visit Website

   Customer Rating:4.6/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   UXCam is a mobile-first product analytics and session replay platform that combines gesture-level session recording, heatmaps, funnel analysis, and AI-driven friction detection across iOS, Android, and hybrid app frameworks.

   Who Is UXCam Best For?

   UXCam is a strong fit for mobile product teams that need gesture-level behavioral data to diagnose friction in iOS and Android apps.

   Why I Picked UXCam

   I picked UXCam as one of the best because its AI analyst, Tara, does something I haven't seen other tools pull off as well: it watches sessions autonomously, surfaces friction patterns like rage taps and dead taps, and ranks them by impact so you're not manually scrubbing through recordings. I also love how funnel drop-offs link directly to the sessions where users abandoned, making it genuinely fast to go from "where are users leaving?" to watching exactly what happened.

   UXCam Key Features

   • Session replay timeline markers: The replay timeline automatically tags rage taps, UI freezes, and custom events so you can jump straight to the moments that matter.
   • Activity tab: A chronological list of screens, gestures, and events shows time spent per screen, with one-click navigation to any point in the session.
   • On-device privacy masking: AI text occlusion, blur, and overlay tools process sensitive content directly on the device before any data is transmitted.
   • Issue analytics dashboard: Crashes, UI freezes, and handled exceptions are automatically captured and tracked per release with alert monitoring.

   UXCam Integrations

   UXCam has four documented integrations: Firebase Crashlytics, Salesforce, Zendesk, and Intercom. These connect session context with crash reports and support workflows, though the integration set is smaller than many broader product analytics platforms.

   Pros and Cons

   Pros:

   • On-device masking protects sensitive user data
   • Funnel drop-offs link directly to replays
   • Tara AI prioritizes mobile friction patterns

   Cons:

   • Web analysis remains secondary to mobile apps
   • Filtering and search frustrate some reviewers
   Learn more about UXCam:

   • Check out UXCam on their website
   • Read my in-depth review of UXCam
9. 

   9

   Datadog

   Organize session replays based on detected issues

   • Free plan available
   • From $15/month (billed annually)

   Visit Website

   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Datadog is a session replay and real user monitoring tool that captures high-fidelity user sessions across web and mobile, with built-in frustration signal detection, AI-powered summaries, funnel analysis, and full-stack performance tracing.

   Who Is Datadog Best For?

   Datadog is a strong fit for product and engineering teams that need session replays tied directly to backend errors, performance traces, and technical root causes.

   Why I Picked Datadog

   I've included Datadog in my top picks because it organizes session replays around detected issues, which means I'm not hunting for problems manually. When a frustration signal fires, like a rage click or an error click, I can jump straight to that moment in the timeline. AI summaries also surface user intent and friction before I even press play, and Smart Chapters break sessions into journey stages so I can go directly to checkout or cart review without scrubbing through the full recording.

   Datadog Key Features

   • Console and network timelines: Datadog links session replays directly to network failures, error logs, and APM distributed traces so you can trace UX friction to a backend root cause.
   • Frustration signals dashboard: A prebuilt, cloneable dashboard tracks rage clicks, dead clicks, and error clicks across your product, with timeline markers that let you jump to the exact moment.
   • Session-to-ticket workflow: You can add timestamped comments to any replay, tag teammates, and share links directly to Jira, Slack, or Confluence.
   • Configurable session sampling rate: The sessionReplaySampleRate setting lets you control what share of sessions gets recorded, so you can manage data volume and cost without losing visibility.

   Datadog Integrations

   Datadog has native integrations across its platform, including RUM, Product Analytics, Error Tracking, APM, and Logs. Teams can share replay links through Jira, Slack, and Confluence, while the wider Datadog platform lists more than 1,000 integrations.

   Pros and Cons

   Pros:

   • Strong privacy controls protect user data
   • AI summaries speed replay review
   • Connects friction to backend root causes

   Cons:

   • Heatmap segmentation remains comparatively limited
   • Engineering focus can overwhelm product teams
   Learn more about Datadog:

   • Check out Datadog on their website
   • Read my in-depth review of Datadog
10. 

    10

    LogRocket

    Best for AI-driven issue detection and triage

    • 14-day free trial + free plan available
    • From $176/month (billed annually)

    Visit Website

    

    LogRocket is a session replay platform that pairs DOM-based session recording with product analytics, error monitoring, and AI-driven issue detection to give product teams a unified view of user behavior and frontend performance.

    Who Is LogRocket Best For?

    LogRocket is a strong fit for product and engineering teams that need to connect real user behavior directly to frontend bugs and performance issues.

    Why I Picked LogRocket

    I've included LogRocket in my top picks because its Galileo AI doesn't just flag bugs—it ranks issues by severity across real sessions, so I can immediately see which friction points are hurting the most users rather than triaging manually. I also love how the Issues view surfaces rage clicks, dead clicks, and frustration signals in one place, with linked session replays attached. When a release breaks something, Galileo catches the anomaly and surfaces it before anyone files a ticket.

    LogRocket Key Features

    • Console and network timeline sync: LogRocket syncs console logs, network requests, and JavaScript errors directly with session playback so you can pinpoint exactly what broke and when.
    • Conversion funnels with linked replays: Funnel analysis connects drop-off data to the actual sessions behind it, letting you watch what happened at each step.
    • 50+ behavioral filters and session playlists: Filter sessions by user ID, URL, custom events, or performance conditions, then save filtered sets as reusable playlists.
    • Ticketing integrations: Push issues directly to Jira, Linear, GitHub, or Trello with session context attached, so engineers get everything they need to reproduce a bug.

    LogRocket Integrations

    LogRocket offers hundreds of integrations, including Jira, Linear, GitHub, Sentry, Datadog, Amplitude, Segment, LaunchDarkly, Zendesk, and Intercom. It also provides API and MCP access for custom workflows.

    Pros and Cons

    Pros:

    • Funnels reveal drop-offs alongside actual sessions
    • Replays connect behavior with technical context
    • AI-ranked issue triage prioritizes user-impacting problems

    Cons:

    • Mobile friction detection trails web coverage
    • Engineering-focused interface may challenge analysts
    Learn more about LogRocket:

    • Check out LogRocket on their website