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✓ VERIFIED GTM · 805.7k GitHub829.1k/wk npm · 193 deps

LogRocket

Analytics & Data
AI-powered session replay and analytics platform that identifies user struggles and technical issues impacting conversion and engagement.
LogRocket is an AI-first session replay and product analytics platform designed to help teams understand user behavior and identify conversion blockers. Its Galileo AI automatically watches sessions to surface technical issues, UX problems, and engagement opportunities with natural language descriptions. The platform combines session replay, error tracking, frontend performance monitoring, and product analytics in a unified interface. LogRocket integrates seamlessly with popular GTM tools and supports both web and mobile applications with automatic data capture.
Best for
Product and growth teams needing AI-powered insights to identify conversion blockers and technical issues impacting user experience across web and mobile applications.
session-replayanalyticserror-trackingconversionaiperformancemonitoringproduct-analytics
Editorial profile generated March 19, 2026 · pricing & endpoint re-verified continuously (see badges above)
24/50
Overall Score
API Quality
8/10
GTM Relevance
16/20
PricingFreemium
Complexityeasy
Learningeasy
Visit logrocket.com

API Analysis

REST API
Available
Webhooks
Available
GraphQL
OAuth
SDKs:javascript, react, angular, vue, ios, android, react-nativeRate Limits:UnknownWebhook Reliability:goodDocs:https://docs.logrocket.com
segmentintercomzendesklaunchdarklyslackfirebasegoogle tag manageroptimizely

Pricing

freemiumFree Tier
14-day free trial with all features. Paid plans based on session volume with Pro and Enterprise tiers. Conditional recording and session limits available on higher tiers.
Listed pricing, as of Mar 2026 — not independently verified; confirm on the vendor's site before relying on it.

What users say

Themes from 2,392 real reviews on G2 · ★ 4.6
Users like
Session replay shows exactly what users did and experienced
Helps reproduce bugs quickly with console logs and network data
Easy to integrate with existing development tools and workflows
Users dislike
Pricing can be expensive for smaller teams or high session volumes
Can generate large amounts of data that requires filtering
Performance impact on applications when capturing sessions

Alternatives

Reviews

FAQ

What is LogRocket?

LogRocket is an AI-first session replay and product analytics platform designed to help teams understand user behavior and identify conversion blockers. Its Galileo AI automatically watches sessions to surface technical issues, UX problems, and engagement opportunities with natural language descriptions. The platform combines session replay, error tracking, frontend performance monitoring, and product analytics in a unified interface. LogRocket integrates seamlessly with popular GTM tools and supports both web and mobile applications with automatic data capture.

Is LogRocket free?

Yes, LogRocket offers a free tier. 14-day free trial with all features. Paid plans based on session volume with Pro and Enterprise tiers. Conditional recording and session limits available on higher tiers. Pricing shown is as last reviewed and may change — confirm current pricing on the vendor's site.

What are LogRocket alternatives?

Popular alternatives to LogRocket include Hotjar, Fullstory, PostHog, Mixpanel, Amplitude, Heap, Pendo. Compare features, API quality, and pricing on GTM Tools.

Does LogRocket have an API?

Yes, LogRocket provides a REST API. API quality is rated GOOD. Documentation: https://docs.logrocket.com.

Who is LogRocket best for?

Product and growth teams needing AI-powered insights to identify conversion blockers and technical issues impacting user experience across web and mobile applications.

How current is LogRocket's data on GTM Tools?

Endpoint reachability and pricing for verified-tier tools are re-checked on a schedule — see the verification badges on this page for the latest check. The editorial profile (description, strengths and weaknesses) is last generated March 2026, and any user-review themes are pulled from G2.