LogRocket
Session replay that an engineer can actually debug from
LogRocket is a frontend session replay and digital experience monitoring platform that records what users did alongside the technical context an engineer needs to reproduce it, including console output, network requests, JavaScript errors, performance data, and application state, with product analytics and heatmaps layered on top; it bills on sessions recorded, starts free at 1,000 sessions a month, and its paid Core plan starts around $176 a month at 25,000 sessions.
Overview
LogRocket sits at the point where session replay stops being a user research tool and becomes an engineering tool. Every other replay product in this category shows you what the user saw. LogRocket shows you that plus the console output, the network waterfall, the JavaScript exceptions, the performance timings, and, if you are running Redux, NgRx, or Vuex, the exact application state at every moment. The result is that a support ticket saying it did not work stops being a two day investigation and becomes a link that a developer opens and immediately understands.
Founded in 2016 in the Boston area by Matthew Arbesfeld and Ben Edelstein, the company has raised roughly $55M and has grown into a platform that positions itself as digital experience monitoring rather than replay. The centrepiece of that expansion is Galileo, LogRocket's machine learning layer, which surfaces and ranks the issues actually costing you conversions rather than waiting for a human to notice them in a list. Around it sit product analytics (funnels, paths, retention), heatmaps, and AI features on the Pro tier that summarise sessions, detect issues, and analyse collected feedback.
The pricing meter is sessions recorded, which is the honest meter for a replay tool and the expensive one. A free plan covers 1,000 sessions a month with one month of retention and three seats, which is enough to debug a small internal app and not enough to run a business on. Core starts at roughly $176 a month based on 25,000 sessions a month, and the cost climbs with traffic in a way that a consumer web product will feel quickly. LogRocket's own answer to this is conditional recording, capturing a subset of sessions based on rules rather than everything, and the pricing calculator shows a roughly 25 percent capture rate cutting the bill substantially at higher volumes.
The tradeoff to understand before buying is scope. LogRocket's analytics exist, and they are competent, but nobody chooses LogRocket for funnels. Its event model is not as flexible as Mixpanel's, its experimentation capability does not exist, and its cost per user is high relative to event-metered analytics tools. What it is unrivalled at is closing the distance between a user's complaint and a developer's fix. If your bottleneck is bug reproduction and frontend quality, that is worth paying for. If your bottleneck is understanding activation, it is not.
Best for
Engineering and product teams at software companies whose recurring pain is reproducing frontend bugs and diagnosing why a specific user got stuck, particularly React, Angular, or Vue applications where state inspection turns a two day investigation into a five minute one.
Not the right fit for
- Teams whose primary need is product analytics; LogRocket's funnels and retention are competent but not why anyone buys it, and Mixpanel or Amplitude will be cheaper and better at that job.
- High-traffic consumer sites on a small budget; billing on sessions recorded means traffic growth translates directly into cost, and a busy ecommerce site will find the bill uncomfortable without aggressive conditional recording.
- Marketing sites that want heatmaps and scroll maps; that job is done free by Microsoft Clarity and cheaply by Mouseflow, and LogRocket's engineering depth is wasted on it.
- Buyers with an EU data residency requirement on a normal budget; standard plans host in the United States, and European residency requires an Enterprise self-hosted or private cloud arrangement.
- Teams needing feature flags or experimentation; LogRocket has neither, so an integrated stack means Statsig, PostHog, or Amplitude alongside it.
How it works
- 1
You add the LogRocket JavaScript SDK to your web application, or the SDK for React Native, iOS, or Android. It begins recording sessions as a serialised stream of DOM changes and interactions rather than as video, so playback is faithful, searchable, and small enough to transmit continuously.
- 2
Alongside the visual recording it captures the engineering context: console logs at every level, network requests and responses with configurable body capture, JavaScript exceptions with stack traces, page performance metrics, and, through framework plugins, Redux, NgRx, Vuex, or MobX state and every dispatched action. This is the layer that separates LogRocket from the rest of the category.
- 3
Sanitisation happens client-side before data leaves the browser. Password fields are never recorded at all. Inputs can be set to redact so nothing is captured, or to a lorem ipsum mode where the fact that typing occurred is preserved but the characters are not. A data-private attribute excludes any DOM element, and request bodies, response bodies, headers, URLs, and Redux state can each be sanitised independently.
- 4
On top of the recordings, Galileo applies machine learning to rank the issues doing the most damage, so the daily workflow is opening a prioritised list rather than trawling sessions. Product analytics adds funnels, paths, retention, and heatmaps over the same data, and Pro adds AI summaries, automatic issue detection, funnel insights, and feedback analysis. Enterprise adds streaming data export, unlimited seats, and private cloud or self-hosted deployment for teams with residency or HIPAA requirements.
Feature breakdown
27 features in 5 modulesSession replay and frontend forensics
The core product, and the deepest technical replay available at a self-serve price.- DOM-based session replay
- Sessions are recorded as a serialised stream of DOM mutations and interactions rather than as video, which keeps payloads small, makes playback pixel-faithful across screen sizes, and lets the recording be searched and inspected rather than only watched.
- Console and log capture
- Every console message at every level is captured in sync with the replay, so the developer sees the same output they would have seen with devtools open on the user's machine.
- Network request inspection
- Requests and responses are captured with timing, status, headers, and optionally bodies, with per-field sanitisation. Finding that the failure was a 403 from a specific endpoint takes seconds rather than a round of questions with the user.
- JavaScript error tracking with stack traces
- Exceptions are captured with stack traces and grouped, linked to the sessions in which they occurred, so error monitoring and reproduction live in the same tool rather than in two.
- Application state inspection
- Plugins for Redux, NgRx, Vuex, and MobX record every dispatched action and the resulting state, allowing time-travel debugging of a real user session. This is the single capability no competitor matches at this price.
- Performance and Core Web Vitals
- Page load timings, network throughput, CPU and memory usage, and web vitals captured per session, which turns vague slowness reports into a measurable, attributable problem.
Issue detection and AI
Galileo and the Pro-tier AI layer, aimed at finding problems before a customer reports them.- Galileo issue prioritisation
- A machine learning layer that automatically surfaces and ranks the issues affecting digital experience by impact, so the workflow starts from a prioritised list rather than from someone deciding what to look at.
- Automatic frustration signals
- Rage clicks, dead clicks, error clicks, and abandoned form fields are detected without configuration, which is how problems nobody filed a ticket about get found.
- AI session summaries
- Pro-tier summarisation of what happened in a session in plain language, so a triage pass across dozens of sessions does not require watching each one end to end.
- AI funnel insights
- Automated analysis of where and why conversion is failing in a defined funnel, combining the behavioural drop-off with the technical signals present in those sessions.
- Feedback analysis
- Collected user feedback is analysed and grouped so qualitative reports are tied back to the sessions and errors that produced them.
Product analytics and heatmaps
A competent second act layered over the replay data.- Funnels and conversion analysis
- Multi-step funnels over captured behaviour with the ability to open the underlying sessions at any drop-off point, which is the natural strength of an analytics layer built on top of replay.
- Paths and user journeys
- Aggregate path analysis showing the routes users take, useful for spotting the unplanned workflow that half the user base has adopted.
- Retention analysis
- Cohort retention over recorded behaviour, adequate for spotting a trend though less flexible than a dedicated event analytics tool.
- Heatmaps
- Click, scroll, and interaction heatmaps generated from the same session data, so there is no second script and no second sampling population to reconcile.
- Unlimited analytics, error, and log events
- Events of these types are not separately metered on any tier. Only sessions are counted, which means instrumentation richness costs nothing and only traffic does.
Privacy and data control
Unusually granular, which a replay tool in production absolutely needs.- Client-side sanitisation
- Masking and redaction happen in the browser before data is transmitted, so excluded content never reaches LogRocket's servers rather than being hidden after arrival.
- Password fields never recorded
- A hard default rather than a configuration option, which removes the most obvious category of accident.
- Redact and lorem ipsum masking modes
- Inputs can be set to redact, capturing nothing at all, or to display lorem ipsum text so the developer can see that typing occurred and how much without seeing what was typed.
- Element-level exclusion
- A data-private attribute on any DOM element removes it from recording, giving developers a precise instrument rather than a page-level switch.
- Network and state sanitisation
- Request bodies, response bodies, headers, and URLs can each be scrubbed independently, and Redux state and actions can be sanitised before capture, which matters because state objects routinely carry more personal data than the screen does.
- Private cloud and self-hosted deployment
- Enterprise arrangements support running LogRocket in your own private cloud, which is the route to EU data residency and to HIPAA coverage with a business associate agreement.
Integrations and enterprise plumbing
How replay reaches the tools your team already lives in.- Issue tracker integrations
- Jira, Linear, and GitHub integrations attach a replay link to a ticket at creation, which is the single highest-value integration because it changes the quality of every bug report your team files.
- Support tool integrations
- Zendesk, Intercom, and Help Scout connectors surface the customer's session directly in the ticket, so support can send engineering a recording instead of a paraphrase.
- Error monitoring integrations
- Sentry, Bugsnag, and Rollbar links connect an exception in your monitoring tool to the recording of the user who triggered it.
- Streaming data export
- Enterprise contracts include streaming export of session and event data into a warehouse or observability platform, so LogRocket is not a terminal destination for the data it collects.
- API and MCP credits
- Enterprise plans include a monthly allowance of API and MCP credits, exposing session data to programmatic tooling and AI assistants rather than only to the web console.
Use cases
4 documentedSupport engineer at a B2B SaaS company
A customer reports that saving fails intermittently. It cannot be reproduced internally and the exchange has been going back and forth for four days.
The Zendesk integration surfaces the customer's session on the ticket. The replay shows the save click, the console shows a validation error, and the network panel shows a 422 from an endpoint rejecting a character the UI allows. The fix takes twenty minutes.
Frontend team lead on a React application
A bug only manifests for users whose account is in a particular state, and the team cannot construct that state locally.
The Redux plugin records the full action history and state at every step of the affected user's session, so the team replays the exact sequence that produced the broken render without ever reproducing the environment.
Product manager investigating checkout abandonment
Analytics shows 30 percent of users abandon at the payment step and nobody knows whether it is a pricing problem or a broken form.
Funnel analysis identifies the exact step, the underlying sessions show rage clicks on a disabled button, and the network panel shows the payment provider script failing to load on slower connections. It was never a pricing problem.
Engineering manager with a growing bug backlog
Dozens of issues are reported weekly with no way to know which ones are costing real money, so prioritisation is a matter of who complains loudest.
Galileo ranks issues by measured impact on user experience and conversion, and the weekly triage meeting works from evidence rather than from advocacy.
Pricing
from $0 (Free, 1,000 sessions per month), Core from around $176 per month at 25,000 sessionsUsage-based on sessions recorded per month across three plans, with analytics, error, and log events unlimited on every tier. Free and Core are self-serve; Enterprise is quoted and covers self-hosted and private cloud deployment.
| Plan | Price | Includes |
|---|---|---|
| Free | $0 per month |
The retention window and session cap make this an evaluation tier rather than a plan a business runs on. |
| Core | From around $176 per month, based on 25,000 sessions per month |
The price scales with the session volume you select in the calculator, which runs from 1,000 to over 4 million sessions a month. |
| Pro | Quoted, and included at no extra charge above 100,000 sessions per month per month |
The AI tier folding in free at higher volume is an unusual and buyer-friendly packaging choice. |
| Enterprise | Quoted annual contract |
|
Add-ons
- Conditional recording (Included, and a cost reduction rather than a cost): Recording a rule-based subset rather than every session. The pricing calculator illustrates roughly 25 percent capture cutting a bill to around $765 a month at the volume selected, which is the main lever available for controlling spend.
- Private cloud or self-hosted deployment (Quoted on Enterprise): The only route to EU data residency and to HIPAA coverage.
Billing notes
- Sessions recorded is the meter, so cost tracks traffic directly. Doubling your users doubles your bill unless you change the capture rate, which is the opposite of how event-metered analytics tools behave for lightly instrumented products.
- Analytics, error, and log events are unlimited on every tier, so richer instrumentation is genuinely free and only traffic costs money.
- Conditional recording is the primary cost control. Capture rules can target logged-in users, specific routes, error conditions, or a sampled percentage, and a well-designed rule set cuts spend without losing the sessions you would actually have watched.
- Pro is included at no additional charge above 100,000 sessions a month, so the AI features become free at exactly the volume where manual triage stops being possible.
- Data retention on the free plan is one month; longer retention is a paid plan attribute rather than something published as a rate, so confirm it in your quote before committing.
- Discounts are advertised for bulk volume, startups, non-profits, open-source projects, and multi-year commitments, so the calculator price is a starting point rather than a final one.
Value assessment: LogRocket is expensive per user and cheap per resolved bug, and which of those framings applies to you decides the purchase. At 10,000 monthly users a typical web product generates somewhere near 20,000 to 30,000 sessions a month, which puts you at roughly the $176 Core entry point, less than one engineer-hour a week. At 100,000 monthly users you are into the hundreds of thousands of sessions and the bill runs into four figures a month unless you use conditional recording, though Pro's AI features become free once you pass 100,000 sessions. Against an event-metered analytics tool this looks costly, but that is the wrong comparison: Mixpanel cannot tell you which network call returned 422. Against the alternative of a senior developer spending two days a week reproducing customer issues, it is inexpensive. Judge it as an engineering productivity tool, not as an analytics subscription.
Strengths & limitations
Strengths
- The deepest technical session replay available at a self-serve price: console output, network requests, stack traces, performance data, and full Redux, NgRx, Vuex, or MobX state alongside the visual recording.
- Application state inspection genuinely has no equivalent in this category, and for a single-page application team it converts unreproducible bug reports into ordinary debugging.
- Privacy controls are granular and client-side, so masked content never leaves the browser, with password fields excluded by default and a lorem ipsum mode that preserves signal without content.
- Analytics, error, and log events are unlimited on every plan, so only session volume is metered and instrumentation depth is free.
- Galileo's machine learning prioritisation turns a pile of recordings into a ranked worklist, which is the difference between a tool that gets used weekly and one that gets used daily.
- Pro AI features are included at no extra cost above 100,000 sessions a month, exactly where manual review stops scaling.
- Integrations put replay links where the work happens: Jira, Linear, GitHub, Zendesk, Intercom, Sentry, and others, which quietly improves every bug report in the organisation.
Limitations
- Session-based billing means cost scales with traffic, and a consumer product with heavy anonymous usage becomes expensive fast without aggressive conditional recording.
- The free plan at 1,000 sessions a month with one month of retention and three seats is an evaluation tier rather than something a real product can operate on.
- Product analytics are competent but not a reason to buy; funnels, paths, and retention are less flexible than a dedicated event analytics tool and there is no experimentation capability at all.
- Data hosted in the United States on standard plans. EU residency requires an Enterprise self-hosted or private cloud arrangement, which puts it out of reach for most small buyers.
- HIPAA coverage with a business associate agreement is Enterprise-only, so regulated healthcare teams cannot use the self-serve tiers.
- Retention windows by tier are not published clearly on the pricing page, which makes comparison against vendors who state their windows plainly harder than it should be.
- Above the free plan, Pro and Enterprise pricing are quoted rather than listed, so only the Core entry point is genuinely transparent.
Head-to-head comparisons
4 alternativesLogRocket vs Mixpanel
from $0 (Free plan, 1M events per month), Growth starts at $0 and scales with volumeDifferent tools with a small overlap. Mixpanel meters events and answers population-scale product questions with a genuinely good analysis interface; LogRocket meters sessions and answers why this specific thing is broken with console, network, and state detail Mixpanel cannot approach. Buy LogRocket if your bottleneck is bug reproduction and frontend quality; buy Mixpanel if it is activation and retention. Teams over about twenty people commonly run both and should.
Full LogRocket vs Mixpanel comparisonLogRocket vs OpenReplay
from $0 self-hosted, or $199 per month for a managed Dedicated instanceOpenReplay is the open source answer to LogRocket: session replay with devtools, network capture, and analytics that you can self-host for free or run managed from $199 a month, keeping all data inside your own infrastructure. LogRocket is more polished, has deeper framework state integration, and brings Galileo's ML prioritisation. Choose OpenReplay if data residency, cost at scale, or self-hosting matters more than polish; choose LogRocket if you want the deepest debugging experience and would rather not operate the infrastructure.
Full LogRocket vs OpenReplay comparisonLogRocket vs Microsoft Clarity
from $0Clarity is free forever with no traffic limits and gives heatmaps, recordings, and frustration signals, which is remarkable value and entirely sufficient for understanding a marketing site. It gives an engineer almost nothing: no console output, no network inspection, no state. Use Clarity on the website and LogRocket in the application; that division of labour costs one subscription instead of two and is what most teams should actually do.
Full LogRocket vs Microsoft Clarity comparisonLogRocket vs Mouseflow
from $0 (Free, 500 sessions per month), then $25 per month (Essential)Mouseflow is a conversion-optimisation replay tool with heatmaps, form analytics, funnels, and friction scoring, priced from $25 a month, aimed at marketers improving pages. LogRocket is an engineering tool priced from around $176 a month, aimed at developers fixing software. Neither substitutes for the other. If your question is which form field makes people give up, Mouseflow is cheaper and better shaped; if it is why the submit button throws an exception for eight percent of users, only LogRocket answers it.
Full LogRocket vs Mouseflow comparisonImplementation & onboarding
- Setup time
- Under thirty minutes for basic replay: add the SDK, deploy, and sessions appear. The part that takes real time is privacy configuration, which should be a deliberate half-day exercise walking every screen that touches personal or payment data rather than an afterthought.
- Learning curve
- Low for developers, who recognise the interface immediately because it mirrors browser devtools. Moderate for non-technical staff, who can watch replays but will not get value from the network and state panels. Conditional recording rules are the one genuinely fiddly area and are worth revisiting after the first month's bill.
- Onboarding
- Self-serve through the Core tier with a 14 day trial and no sales call. Framework plugins for Redux, NgRx, and Vuex are documented installs. Enterprise deployments involving private cloud or self-hosting come with implementation support and take considerably longer.
- Migration notes
- There is no import path for historical sessions from another replay tool, and recordings do not transfer between vendors, so a migration means running both in parallel for a month and then cutting over. Coming from Hotjar, now folded into Contentsquare, or from FullStory, expect the visual replay to feel familiar and the technical layers to be entirely new. Leaving LogRocket is easier on Enterprise, where streaming data export exists, than on Core.
Platform, API & security
- Platforms
- Web via JavaScript SDKReact, Angular, Vue, and Svelte with framework pluginsReact NativeiOS and AndroidRedux, NgRx, Vuex, and MobX state integrations
- API
- REST API for session and user data plus streaming data export on Enterprise contracts, with a monthly allowance of API and MCP credits included on enterprise plans for programmatic and AI-assistant access.
- Compliance
- SOC 2GDPR and CCPA support with client-side sanitisationEU-U.S. Data Privacy Framework certificationHIPAA with a business associate agreement on Enterprise
- Data residency
- United States hosting on standard plans. European data residency requires an Enterprise self-hosted or private cloud deployment, which is the same route required for HIPAA coverage.
- SSO
- Single sign-on available on higher tiers and enterprise contracts; standard email and social authentication otherwise.
- Security notes
- Sanitisation is client-side, so redacted content never leaves the browser. Password fields are never recorded under any configuration. Inputs support full redaction or lorem ipsum masking, DOM elements can be excluded with a data-private attribute, and request bodies, response bodies, headers, URLs, and Redux state and actions can each be scrubbed independently.
Support & resources
- Channels
- Email and in-app support on paid plansDedicated support and named contacts on EnterpriseDirect contact for private cloud deployment discussions
- Documentation
- Thorough developer documentation at docs.logrocket.com covering SDK installation, every framework plugin, the full privacy and sanitisation surface, conditional recording rules, and the integration catalogue.
- Community
- LogRocket runs one of the most widely read frontend engineering blogs on the web, which functions as both a marketing engine and a genuine resource; the product's own user community is smaller and less central than that content operation.
Company
- Founded
- 2016
- Headquarters
- Boston and Cambridge, Massachusetts, United States
- Ownership
- Venture-backed, privately held
- Founders
- Matthew Arbesfeld, Ben Edelstein
- Employees
- Estimated between 450 and 560 in 2026 depending on the data source; not officially published
- Funding
- Approximately $55M raised across venture rounds, with Matrix Partners and Battery Ventures among the backers.
Funding history
| Round | Amount | Year | Notes |
|---|---|---|---|
| Seed | Undisclosed | 2016 | Founded in the Boston area to solve frontend bug reproduction rather than general analytics. |
| Series A | $11M | 2019 | Led by Matrix Partners as session replay with technical context found an engineering audience. |
| Series B and C | Included in the roughly $55M total | 2020 to 2022 | Funded the expansion from replay into digital experience monitoring, including the Galileo machine learning layer. |
Timeline
- 2016Founded near Boston by Matthew Arbesfeld and Ben Edelstein on the premise that session replay is only useful to an engineer if it carries the technical context alongside the video.
- 2019Raises a Series A led by Matrix Partners; Redux and framework state integrations become the capability nothing else in the category matches.
- 2021Expands from replay into digital experience monitoring, adding product analytics, funnels, paths, and heatmaps over the same recorded sessions.
- 2022Launches Galileo, a machine learning layer that automatically surfaces and prioritises the issues doing the most damage to user experience.
- 2024Adds AI session summaries, automatic issue detection, funnel insights, and feedback analysis on the Pro tier, and makes Pro free above 100,000 sessions a month.
- 2026Ships API and MCP credit allowances on enterprise plans, exposing session data to AI assistants and programmatic tooling rather than only to the web console.
Integrations
- Jira, Linear, and GitHub
- Zendesk, Intercom, and Help Scout
- Sentry, Bugsnag, and Rollbar
- Slack and Microsoft Teams
- Segment and other CDPs
- Salesforce and HubSpot
- Mixpanel, Amplitude, and Google Analytics for cross-tool session linking
- Datadog and other observability platforms
- Streaming data export to warehouses on Enterprise
Frequently asked questions
10 questionsWhat is LogRocket?
LogRocket is a session replay and frontend monitoring platform. It records what a user did in your web or mobile application and captures the technical context alongside it: console logs, network requests and responses, JavaScript errors with stack traces, performance metrics, and application state from Redux, NgRx, Vuex, or MobX. Product analytics, heatmaps, and machine learning issue prioritisation are layered on top.
How much does LogRocket cost?
There is a free plan with 1,000 sessions a month, one month of retention, and three seats. The Core plan starts at roughly $176 a month based on 25,000 sessions a month and scales with the session volume you select, up to over 4 million. Pro adds AI features and is included at no extra charge above 100,000 sessions a month. Enterprise is quoted and covers unlimited seats, streaming export, and self-hosted or private cloud deployment. Paid plans come with a 14 day trial.
What exactly does LogRocket bill on?
Sessions recorded per month, and nothing else. Analytics events, error events, and log events are unlimited on every tier, so richer instrumentation costs nothing and only traffic does. That makes the bill predictable if your traffic is predictable, and uncomfortable if it is not. Conditional recording, which captures a rule-based subset rather than every session, is the main lever for controlling spend.
How is LogRocket different from Hotjar or Microsoft Clarity?
Those tools show you what the user saw. LogRocket shows that plus what the application did: the console output, the network calls with their status codes and bodies, the exceptions with stack traces, and the state of your Redux or NgRx store at every step. Clarity is free and excellent for understanding a marketing page. LogRocket exists so a developer can debug a production issue without reproducing it. Hotjar, meanwhile, has been folded into Contentsquare and no longer sells under its own brand.
Is LogRocket safe to run on pages with personal or payment data?
It can be, but only if you configure it deliberately. Sanitisation happens client-side, so excluded content never reaches LogRocket's servers, and password fields are never recorded under any configuration. Inputs can be fully redacted or shown as lorem ipsum, any DOM element can be excluded with a data-private attribute, and request bodies, response bodies, headers, URLs, and Redux state can each be scrubbed separately. Treat privacy configuration as a required half-day of work before going live, not as a setting to revisit later.
Can LogRocket keep my data in the EU?
Not on the self-serve plans. Standard plans host data on United States servers, and LogRocket is certified under the EU-U.S. Data Privacy Framework. European data residency requires an Enterprise self-hosted or private cloud deployment. If EU residency is a hard requirement on a small budget, OpenReplay self-hosted or Matomo will serve you better.
Does LogRocket replace my product analytics tool?
For a small team, possibly. It has funnels, paths, retention, and heatmaps over the same session data, and being able to open the underlying recordings at any drop-off point is a real advantage. But the event model is less flexible than Mixpanel's or Amplitude's, there is no experimentation capability, and session-based pricing is a poor fit for pure analytics workloads. Most teams past a certain size run LogRocket for debugging and an event analytics tool for measurement.
What is Galileo?
Galileo is LogRocket's machine learning layer, which automatically surfaces and prioritises the issues having the largest impact on user experience rather than waiting for someone to find them. Practically it changes the daily workflow from browsing a list of sessions to working through a ranked list of problems, which is the difference between a tool your team opens weekly and one they open every morning.
Does LogRocket work with mobile apps?
Yes, with SDKs for React Native, iOS, and Android alongside the web SDK. The deepest capabilities, particularly the framework state integrations for Redux, NgRx, Vuex, and MobX, are web-first, so a web application built on one of those frameworks gets substantially more out of LogRocket than a native mobile app does.
Who owns LogRocket and how stable is it?
LogRocket is a privately held venture-backed company founded in 2016 in the Boston area by Matthew Arbesfeld and Ben Edelstein, with roughly $55M raised and an estimated 450 to 560 employees. It has been independent for a decade in a category where Hotjar, Heap, and Smartlook have all been absorbed by larger acquirers, which counts for something when you are choosing a vendor to build a workflow around.
Editorial verdict
LogRocket is the best answer available to the question why is this broken for this specific user, and nothing else at a self-serve price comes close. Console output, network inspection, stack traces, and full Redux or NgRx state alongside the replay turn unreproducible bug reports into ordinary debugging, and Galileo makes the resulting pile of sessions into a ranked worklist. Buy it if you run a real web application, particularly a single-page app, and your engineers are losing days to reproduction. Do not buy it as your analytics tool, do not buy it for a marketing site when Clarity is free, and go in with a conditional recording strategy already sketched, because session-based billing on a growing consumer product gets expensive faster than anything else in this category.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.