LogRocket and FullStory are the two leading error-replay and session replay tools for product teams. LogRocket is the error-first specialist — built for engineering collaboration around bugs, with stack traces, performance monitoring, and transparent pricing. FullStory is the search-first specialist — the best session search, frustration signals, and funnel analysis, but at enterprise pricing. We compared them category by category to help you pick.
Best for PMs who work with engineering on bug reproduction. Error tracking, stack traces, performance monitoring, and Redux/state inspection. Free tier; Team from ~$53/mo.
Best for PMs who need the best session search, frustration signals, and funnel analysis for UX investigation. Enterprise pricing. No permanent free tier.
If you're a product manager evaluating session replay tools for a team that cares about both UX and engineering quality, LogRocket and FullStory are likely your top two. They're both powerful replay platforms, but they're optimized for different primary workflows. LogRocket is built error-first — its superpower is helping PMs and engineers reproduce bugs with stack traces, state inspection, and performance monitoring. FullStory is built search-first — its superpower is helping PMs investigate user behavior with the best session search and frustration signals in the category.
This comparison breaks down LogRocket vs FullStory across 13 categories — pricing, error tracking, session search, performance monitoring, frustration signals, Dev Mode, funnels, and more — with a clear winner in each. For the broader landscape, see our companion guide to AI product analytics tools. For another replay comparison, see our Hotjar vs FullStory head-to-head. For the full alternatives lists, see our LogRocket alternatives and FullStory alternatives pages.
A category-by-category breakdown with a clear winner in each row.
| Category | LogRocket | FullStory | Winner |
|---|---|---|---|
| Starting price (paid) | Free up to 1,000 sessions/mo; paid from ~$53/mo (Team, 10K sessions) | Custom — contact sales, typically $50K+/yr for enterprise | LogRocket |
| Free tier | 1,000 sessions/mo, 1 month retention, 1 seat, error tracking included | No permanent free tier — limited trial only | LogRocket |
| Core focus | Error-first session replay — built for engineering and PM collaboration around bugs | Search-first session replay — built for behavioral analytics and UX investigation | Tie |
| Session replay quality | High-fidelity DOM reconstruction with full network request and console logging | Pixel-perfect DOM reconstruction — best-in-class visual fidelity in the category | FullStory |
| Error tracking & stack traces | Best-in-class — first-class error tracking with stack traces, source maps, and breadcrumbs | Available but secondary — errors are tracked within sessions but not the primary focus | LogRocket |
| Session search & filtering | Good — filter by URL, error, user, and custom properties; improving but less flexible | Best-in-class — filter by any event, user property, rage click, dead click, error, or custom signal | FullStory |
| Frustration & UX signals | Rage click detection available but not a primary focus | Advanced frustration signals — rage clicks, dead clicks, error clicks, thrashing, confused navigation | FullStory |
| Performance monitoring | Built-in performance monitoring — Core Web Vitals, page load times, API response times | Limited — performance metrics available but not a core feature | LogRocket |
| Dev Mode & debugging | Strong — Redux/state inspection, network waterfall, console logs, and stack traces within replay | Strong — DOM inspection, JavaScript errors, network calls, and console logs within replay | Tie |
| Funnel analysis | Basic funnel — conversion tracking with error correlation | Built-in funnel analysis with drop-off tracking, segment comparison, and session drill-down | FullStory |
| Pricing model | Per-session-tier — you pay for a monthly session cap, transparent and predictable | Per-MTU (monthly tracked users) — quote-based, scales with user volume, opaque at scale | LogRocket |
| Best for PMs | PMs who work closely with engineering and need error-correlated session replay at a fair price | PMs who need the best session search, frustration signals, and funnel analysis for UX investigation | Tie |
LogRocket is more affordable and transparent. FullStory is enterprise-priced and opaque. Both use different pricing models — LogRocket charges per session volume, FullStory charges per monthly tracked user.
| Plan | LogRocket | FullStory |
|---|---|---|
| Free plan | 1,000 sessions/mo, 1 month retention, 1 seat, error tracking | No permanent free plan — limited trial only |
| Entry paid | ~$53/mo (Team) — 10K sessions/mo, 3 seats, 3-month retention, error grouping | Custom quote — typically starts higher than LogRocket's Team tier |
| Pro / Business | Custom quote (Pro) — higher session caps, more seats, longer retention, integrations | Custom quote — unlimited sessions, advanced segments, SSO, longer retention |
| Enterprise | Custom — dedicated support, SSO, advanced security, unlimited retention options | Custom ($50K+/yr typical) — dedicated support, custom ML models, advanced data controls |
| Pricing model | Per-session-tier — predictable monthly cost based on session volume | Per-MTU — quote-based, scales with monthly tracked users, opaque at scale |
Pricing as of 2026. LogRocket's Team pricing is publicly listed at logrocket.com/pricing. FullStory's pricing is quote-based — estimates here are based on customer reports. For free-tier limits across all PM AI tools, see our free AI tools for product managers guide.
The comparison table gives you the summary. Here's how LogRocket and FullStory stack up across the PM workflows that matter most.
LogRocket: LogRocket is purpose-built for error investigation. When a user reports a bug, you search for sessions where that error occurred, watch the replay with full network requests and console logs, see the exact stack trace with source maps, and inspect Redux/state at the moment of failure. For PMs who work closely with engineering to reproduce and fix bugs, LogRocket's error-first approach is the fastest path from 'a user reported this' to 'here's exactly what happened.'
FullStory: FullStory can show errors within session replays, but error tracking is not its primary focus. You can find sessions with JavaScript errors, but the stack traces, source maps, and state inspection that LogRocket provides natively are less robust. For PMs whose primary use case is bug reproduction and error investigation, FullStory works but isn't optimized for it the way LogRocket is.
LogRocket wins on error investigation because first-class error tracking with stack traces, source maps, state inspection, and network waterfalls is its core — FullStory handles errors but isn't built for it.
LogRocket: LogRocket's session search is good — you can filter by URL, error, user, and custom properties. It's improving, but it's not as flexible as FullStory's. For PMs who want to find sessions matching complex behavioral criteria (rage clicks + specific page + specific user segment), LogRocket's search is adequate but not best-in-class.
FullStory: FullStory's session search is the most powerful in the category. You can filter by any event, user property, rage click, dead click, JavaScript error, custom signal, or combination. Want 'sessions where enterprise users rage-clicked the export button, hit an error, then churned'? FullStory finds that instantly. For PMs who need deep behavioral investigation, FullStory's search is transformative.
FullStory wins on session search because event-level filtering and custom signal matching let you find any behavior pattern — LogRocket's search is good but less flexible.
LogRocket: LogRocket includes built-in performance monitoring — Core Web Vitals, page load times, API response times, and frontend performance trends. For PMs who care about performance as a product quality metric (and who should), LogRocket gives you replay and performance monitoring in one tool. This is a genuine differentiator that FullStory doesn't match.
FullStory: FullStory offers some performance metrics within sessions, but performance monitoring is not a core feature. If you need dedicated performance tracking alongside session replay, you'd need a separate tool (Datadog RUM, Sentry Performance) alongside FullStory. LogRocket's built-in performance monitoring is a meaningful advantage for PMs who track product quality holistically.
LogRocket wins on performance monitoring because built-in Core Web Vitals, page load times, and API response tracking come included — FullStory treats performance as secondary.
LogRocket: LogRocket offers rage click detection, but frustration signals are not its primary focus. It's built for error-first debugging, not proactive UX issue detection. You can find rage clicks after the fact, but the range of frustration signals (dead clicks, thrashing, confused navigation) isn't as comprehensive as FullStory's.
FullStory: FullStory's frustration signal detection is best-in-class — rage clicks, dead clicks, error clicks, thrashing, and confused navigation patterns. You can search for sessions with any combination and quantify frustration across your user base. For PMs who want to proactively identify UX issues before they become support tickets, FullStory's frustration signals are a genuine advantage.
FullStory wins on frustration detection because the full range of UX friction signals is proactively surfaced — LogRocket's rage click tracking is a fraction of the capability.
LogRocket: LogRocket is more affordable and transparent than FullStory. A permanent free tier (1,000 sessions/mo), public Team pricing (~$53/mo for 10K sessions), and predictable per-session-tier pricing make budgeting straightforward. For PMs at startups or cost-conscious teams, LogRocket delivers error-first replay at a fraction of FullStory's cost.
FullStory: FullStory is the premium option with opaque, quote-based pricing and no permanent free tier. Enterprise plans typically run $50K+/yr. For teams that need the deep session search and frustration signals, the premium may be justified — but for cost-conscious PMs, LogRocket's transparent pricing is a real advantage. See our FullStory alternatives for more affordable options.
LogRocket wins on budget because transparent per-session pricing with a permanent free tier is accessible to any team — FullStory's opaque enterprise pricing is a barrier.
LogRocket: LogRocket excels at PM-engineering collaboration. The error-first approach means when a PM finds a problematic session, they can share it with engineering complete with stack traces, network requests, and state inspection. Engineers get everything they need to reproduce and fix the issue without a back-and-forth. For PMs who frequently file bugs and collaborate with engineering, LogRocket's workflow is built for this.
FullStory: FullStory also supports PM-engineering collaboration through its Dev Mode — DOM inspection, errors, network calls, and console logs within replay. It's strong, but the collaboration is more around UX investigation than error reproduction. For PMs whose engineering collaboration is primarily about 'why did the user experience this?' (UX), FullStory is great. For 'why did this error occur?' (bugs), LogRocket is better.
Both tools support PM-engineering collaboration well, but from different angles — LogRocket for error reproduction with stack traces and state, FullStory for UX investigation with DOM and frustration signals.
A decision framework for PMs — use these checklists to quickly identify which tool fits your workflow and budget.
For the full comparison of 12 AI analytics tools, see our AI product analytics tools guide. For another replay comparison, see our Hotjar vs FullStory comparison. For the complete AI tools landscape, browse our AI tools directory.
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It depends on your primary workflow. If you work closely with engineering and need error-correlated session replay with stack traces, performance monitoring, and transparent pricing, LogRocket is the stronger choice. If you need the best session search, proactive frustration signals, and funnel analysis for UX investigation, FullStory is better — but at enterprise pricing. For the full analytics landscape, see our AI product analytics tools guide.
LogRocket is significantly cheaper and more transparent. LogRocket offers a permanent free tier (1,000 sessions/mo) and Team pricing from ~$53/mo (10K sessions) — all publicly listed. FullStory is quote-based with no permanent free tier, and enterprise plans typically run $50K+/yr. For cost-conscious teams, LogRocket delivers error-first replay at a fraction of FullStory's cost. For more options, see our LogRocket alternatives and FullStory alternatives pages.
LogRocket is purpose-built for bug reproduction. It offers first-class error tracking with stack traces, source maps, Redux/state inspection, and network waterfalls within session replays. When a user reports a bug, you can find the exact session, see the error, and share it with engineering complete with everything they need to fix it. FullStory can show errors within replays, but error tracking is not its primary focus.
FullStory has the far superior session search. You can filter by any event, user property, rage click, dead click, JavaScript error, or custom signal — and combine filters to find specific behavior patterns. LogRocket's search is good (filter by URL, error, user, custom properties) but less flexible. For PMs who need deep behavioral investigation, FullStory is the clear leader.
Yes — LogRocket includes built-in performance monitoring with Core Web Vitals, page load times, API response times, and frontend performance trends. This is a genuine differentiator that FullStory doesn't match — FullStory offers some performance metrics but treats them as secondary. For PMs who track product quality holistically, LogRocket's performance monitoring is a meaningful advantage.
Yes — FullStory's frustration signal detection is best-in-class. It tracks rage clicks, dead clicks, error clicks, thrashing (repeated back-and-forth navigation), and confused navigation patterns. You can search for sessions with any combination and quantify frustration across your user base. LogRocket offers rage click detection but not the full range of frustration signals. For proactive UX issue detection, FullStory is the leader.
LogRocket and FullStory are both leaders, but they optimize for different needs. LogRocket is best for error-first debugging with engineering collaboration. FullStory is best for UX investigation with deep search and frustration signals. PostHog also includes built-in session replay alongside analytics — see our PostHog review and Hotjar vs FullStory comparison. For more alternatives, see our LogRocket alternatives and FullStory alternatives pages.
They're different tools. LogRocket and FullStory help you watch how users interact with your product and investigate issues. Signal Brief helps you discover the AI tools worth using — 5 new AI tools every weekday morning, each vetted with a PM-specific lens. Many subscribers use Signal Brief to discover new analytics and debugging tools, then evaluate them for their stack. See a complete sample issue to understand the format.
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