Fullstory vs LogRocket vs Hotjar: UX Research, Debugging, or Website Optimization?

Comparison snapshot: verified 4 August 2026.

Current Hotjar naming and packaging: Hotjar is now part of Contentsquare, and Contentsquare states that the platforms have merged. New evaluators sign up for Contentsquare rather than a new standalone Hotjar account. Existing Hotjar customers may still encounter the legacy insights.hotjar.com platform while migration access rolls out. This article therefore uses Hotjar / Contentsquare for the current buying path and explicitly labels legacy-Hotjar behavior where it differs. Contentsquare currently packages Experience Analytics, Voice of Customer, and Product Analytics as selectable products with Free, Growth, Pro, and Enterprise plans. (Contentsquare)

Choose Fullstory if

Choose Fullstory when the main job is investigating an authenticated product experience across users, sessions, pages, funnels, journeys, segments, heatmaps, and replay. It is the most natural fit of the three for a product manager, product designer, UX researcher, or cross-functional experience team that wants to move from an aggregate behavioral pattern to the sessions behind it.

Fullstory is especially relevant when:

• product and UX teams will be the primary investigators;
• retroactive behavioral search and segmentation matter;
• replay needs to sit beside funnels, page flows, journeys, heatmaps, and product analytics;
• support or engineering occasionally needs console and network context, but frontend observability is not the sole buying criterion;
• a mature, broadly deployed experience-analytics platform matters more than self-service pricing.

Its main trade-offs are custom paid pricing, a broad feature surface that can require governance and training, and add-on packaging for capabilities such as mobile and Guides and Surveys.

Choose LogRocket if

Choose LogRocket when a replay is most valuable because it helps an engineer reproduce and diagnose what happened in the browser or mobile app. Its differentiator is not simply the video-like playback: it is the connection between the playback and console output, requests and responses, JavaScript errors, source-mapped stack traces, frontend performance, product events, and issue workflows.

LogRocket is especially relevant when:

• frontend engineers and technical support will use the product every week;
• a reported bug must be connected to the user’s browser, release, console, network, and performance context;
• teams want product analytics, funnels, paths, surveys, and heatmaps in the same platform as technical replay;
• native mobile SDK support matters;
• self-hosting is a firm enterprise requirement.

Its main trade-offs are session-volume pricing, the implementation and privacy work required to capture technical data safely, and a product experience that naturally favors engineering-led investigation over dedicated website-research workflows.

Choose Hotjar if

For a new evaluation, this means choosing the relevant Contentsquare products rather than opening a new standalone Hotjar account. Choose this path when the main job is website and conversion research: examining landing pages, ecommerce journeys, forms, content, heatmaps, recordings, surveys, feedback, and recruited interviews or tests.

Hotjar / Contentsquare is especially relevant when:

• marketing, CRO, ecommerce, digital, or website UX teams are the primary buyers;
• heatmaps and direct customer feedback are as important as recordings;
• teams want a generous free entry point for website analytics and a sampled replay library;
• researchers need surveys and a limited monthly allowance for interviews or tests;
• technical monitoring is useful, but LogRocket-level console, payload, and source-map diagnosis is not the center of the workflow.

Its main trade-offs are the current Hotjar-to-Contentsquare transition, modular packaging that must be understood before comparing prices, and technical evidence that varies materially between the lightweight current plan, legacy Hotjar, and higher Contentsquare Experience Monitoring packages.

Choose another category if

Choose another product category, or a combination of tools, when the primary requirement is not covered by these products’ center of gravity:

• For deep event analytics, advanced retention and cohort work, experimentation analysis, or a warehouse-governed event model, keep or evaluate a dedicated product-analytics platform. See the product analytics tools comparison and session replay versus product analytics.
• For B2B account analytics, one user or session is not enough. You may need account-level adoption, company segments, multiple users per customer, champion concentration, and a path from a company signal to relevant sessions.
• For a mobile-first product, run a dedicated native replay evaluation. Mobile SDK coverage, masking, gesture fidelity, crash context, WebViews, offline behavior, and app-performance data can matter more than the web feature list.
• For self-hosted replay, only LogRocket publicly advertises a self-hosted option among these three, and it is positioned for Enterprise. Otherwise, compare the broader self-hosted replay category.
• For marketing attribution, use an attribution or web-analytics system that connects acquisition source, campaign, consent, and conversion value. Replay can show a session but does not replace attribution logic.

At-a-glance comparison

Fullstory’s current public plan page lists replay, heatmaps, Dev Tools, product analytics, funnels, Omnisearch, mobile as an add-on, and Guides and Surveys as an add-on. Page Flow Analysis is available across paid plans, while Journeys and Retention Analysis require Advanced or Enterprise. FullstoryFree includes 30,000 monthly sessions, 12 months of retention, up to 10 users, and 5,000 server events per month. LogRocket’s current pricing page lists Core, Pro, and Enterprise, with metered captured sessions, unlimited analytics/error/log events, surveys in Core, Galileo AI in Pro, and self-hosting on Enterprise. Current Contentsquare material states that Hotjar is now part of Contentsquare and documents the Free plan, the Growth trial, modular products, replay sampling, surveys, interviews, masking, and monitoring features. (Fullstory)

Why these tools are compared

The products overlap enough to appear on the same shortlist. All three can help a team find a relevant session, replay a user’s path, inspect clicks and navigation, segment sessions, and connect individual examples to an aggregate pattern. All three now extend beyond replay into some combination of heatmaps, funnels, surveys, technical monitoring, or AI summaries.

That overlap hides a more important difference: each product has a different operating loop.

• Fullstory’s natural loop is behavioral pattern → segment or search → selected sessions → product or UX decision.
• LogRocket’s natural loop is error or issue → affected sessions → replay plus technical evidence → fix and verify.
• Hotjar / Contentsquare’s natural loop is website or funnel problem → heatmap and recordings → survey or feedback → optimization hypothesis.

A feature checklist alone can therefore produce the wrong decision. Two products may both display a checkmark beside “session replay,” yet one is designed to help a researcher compare product experiences while another is designed to let an engineer inspect a failing request.

For a broader explanation of how the category relates to event analytics, see session replay versus product analytics. For a practical replay-review method, see how to review session replays.

Independent perspective: EP 116 - Session Replay Wrap Up with Matt & Moshe summarizes a podcast series covering Fullstory, Hotjar, LogRocket, and PostHog. Use it as a buyer-framing perspective, not as proof of current pricing or a controlled product benchmark. The episode was published on 2 October 2024. (YouTube)

How their primary buyers differ

Fullstory’s buyer: product and UX teams that need connected behavioral evidence

Fullstory is broadest when the investigation begins with a behavioral question rather than a known error. A product manager might start with a funnel decline, a UX designer with a page-level behavior pattern, a researcher with a segment of unsuccessful sessions, and a support analyst with a user-reported problem. Fullstory’s search, segmentation, heatmaps, funnels, page flows, journeys, and replay let these roles move between aggregate and individual evidence.

That breadth is useful in an authenticated SaaS product because the same platform can support exploratory analysis and focused replay review. The trade-off is that teams need shared definitions, naming, privacy rules, access controls, and an agreed investigation method. A large replay and event dataset does not automatically produce a useful research question.

LogRocket’s buyer: engineers and product teams that need diagnostic context

LogRocket is designed around the moment when “the user said it broke” is not enough. The session can be connected to console output, XHR or Fetch activity, errors, release information, network timing, source-mapped code, performance context, Redux data where configured, and the sequence of interactions preceding a failure.

Product managers can still build funnels, paths, heatmaps, and surveys. The difference is that LogRocket’s strongest reason to buy is usually technical: it reduces the distance between a user-visible problem and the evidence an engineer needs to reproduce or prioritize it.

Hotjar / Contentsquare’s buyer: marketing, CRO, and website-research teams

Hotjar became widely known for an accessible combination of recordings, heatmaps, surveys, and feedback. That research orientation remains visible in the current Contentsquare path. A marketing or CRO team can begin with a landing-page conversion problem, inspect scroll and attention patterns, watch selected replays, ask a targeted survey question, and recruit a limited number of interview or test participants.

The broader Contentsquare platform now also includes funnels, journey analysis, Error Monitoring, Performance Monitoring, Product Analytics, AI summaries, and enterprise capabilities. However, buyers should distinguish between what is included in Free or Growth and what requires a separate product or higher package. (Contentsquare)

How session replay works at a high level

A web session replay is usually not a conventional screen video. The capture script records an initial representation of the page, changes to the Document Object Model, relevant styles, viewport changes, navigation, clicks, scrolling, input activity subject to privacy rules, and timing. The player reconstructs those changes later into a video-like sequence.

Fullstory documents capturing DOM elements, CSS, and subsequent page changes. LogRocket documents logging DOM differences through MutationObserver. This architecture explains why replay can remain searchable and connect to events, selectors, errors, and network data. It also explains several limitations: inaccessible assets, unusual rendering technologies, cross-origin frames, privacy rules, Content Security Policy, and highly dynamic pages can affect fidelity. (Fullstory Help Center)

Native mobile replay uses different techniques. Fullstory, for example, states that its mobile replay is reconstructed from drawing operations rather than screenshots and that masked text, images, and personal data are excluded at the source. Other mobile SDKs have their own capture and masking models. Do not assume that successful web replay automatically means equivalent native-app fidelity. (Fullstory Help Center)

Replay shows an observed sequence. It does not establish the user’s private intention. A pause could represent reading, distraction, latency, indecision, or the user leaving the device. Repeated clicks could represent a broken button, delayed feedback, habit, accessibility difficulty, or impatience. A useful investigation connects replay to structured events, technical evidence, feedback, and user or account context.

For more detail, see what session replay captures and the session replay privacy checklist.

Replay fidelity and technical limitations

Replay and technical evidence

Fullstory explicitly documents DOM reconstruction, limited paid Canvas support, no WebGL, configurable iframe capture, tabbed browsing, opt-in network details, safe headers, body allowlisting, and Private by Default. LogRocket documents DOM diffs, iframe merging, cross-tab cookies, network sanitizers, source maps, and client-side privacy controls. Contentsquare documents replay metadata and events, current and legacy iframe behavior, comments and sharing, and Network Details through the Experience Monitoring add-on on Pro or as an included Enterprise capability. (Fullstory Help Center)

Run a fidelity test before comparing dashboards

A useful proof of concept records the same representative workflows in each shortlisted product:

1. Sign in, navigate through several SPA routes, open and close a modal, submit a form, trigger validation, and complete the primary workflow.
2. Include a route containing sensitive account data and confirm what is excluded, masked, sent, retained, and searchable.
3. Exercise an iframe, embedded support tool, canvas or chart, drag-and-drop control, upload, and any WebView or native flow that matters.
4. Open the product in multiple tabs and cross the authentication or subdomain boundaries used in production.
5. Trigger a known JavaScript exception, failed request, slow request, and API response containing sensitive fields.
6. Confirm whether source maps, request sanitizers, privacy rules, release identifiers, events, and identity properties work in the captured session.
7. Compare replay against a controlled test-device recording. Document omissions rather than assuming the most visually attractive replay is the most diagnostically useful.
8. Measure SDK effect, ingest volume, sampling, retention, and privacy-review effort under realistic traffic.

Product and journey analytics

Fullstory

Fullstory has the strongest default claim of the three when the buyer wants session replay embedded inside a broad behavioral-analysis workflow. Its current public plan matrix includes product analytics, funnels, page-flow analysis, segmentation, user trends, retention analysis, journeys, conversion analysis, dashboards, and Omnisearch.

The practical benefit is that a team can begin with an aggregate signal and define a replay cohort without instrumenting every question in advance. A designer can compare sessions that completed onboarding with sessions that left at a particular step. A product manager can segment by a captured user property, browser, page, event, or behavioral signal and then inspect examples.

The caution is that autocapture does not remove modeling work. Teams still need meaningful names, identity, privacy rules, a stable product structure, and agreement on what constitutes an activated or successful workflow.

LogRocket

LogRocket’s current Core plan combines replay with product analytics rather than forcing a separate analytics purchase. Its pricing page lists unlimited analytics events, paths, conversion funnels, heatmaps, rage-click maps, alerts, surveys, errors, logs, and network data, while captured sessions remain the metered unit.

This is useful when product and engineering want one investigation surface. A funnel drop can lead to affected sessions, then to errors or requests around the failed step. LogRocket’s Pro layer adds AI summaries, issue detection, funnel insights, heatmap insights, feedback analysis, and Ask Galileo.

For teams already committed to a dedicated event platform, LogRocket can remain the replay and diagnostic layer instead of becoming the canonical analytics model.

Hotjar / Contentsquare

Current Contentsquare packaging requires more care because several products sit beside one another:

• Experience Analytics covers replay, heatmaps, funnels, journey analysis, and related behavioral investigation.
• Voice of Customer covers surveys and feedback.
• Product Analytics is selectable separately for deeper product behavior, cross-session journeys, retention, and related use cases.
• Experience Monitoring adds deeper error, RUM, performance, and network investigation.

This modularity can be useful: a website team can begin with Free or Growth instead of buying the complete enterprise platform. It also means a buyer should not attribute every feature on the Contentsquare website to one $49 annual-billed Experience Analytics Growth package.

Frontend debugging and observability

Fullstory can support technical investigation without being engineering-first

Fullstory’s Dev Tools can place console and network evidence beside replay. Network capture is disabled until enabled, safe headers are handled separately, and request or response bodies must be explicitly allowlisted because they can contain sensitive data. This conservative approach is useful when the organization wants detailed diagnostics without capturing payloads indiscriminately. (Fullstory Help Center)

For occasional product or support debugging, that may be sufficient. For an engineering team whose daily job is triaging exceptions, inspecting source-mapped code, monitoring frontend performance, and grouping technical issues, LogRocket has the clearer center of gravity.

LogRocket is the strongest default for frontend diagnosis

A LogRocket investigation can connect the user-visible sequence to console logs, network requests and responses, JavaScript errors, source-mapped stack traces, release context, performance, and affected users. The product’s current packaging also includes paths, funnels, heatmaps, surveys, and issue analysis, so an engineer can quantify impact instead of treating one replay as proof of prevalence.

LogRocket’s technical capture increases privacy responsibility. Its documentation states that password inputs are excluded by default but other DOM elements are captured unless additional sanitization is configured. DOM and network privacy are separate: masking a field visually does not automatically sanitize the value if it is later sent in a request. Request and response sanitizers therefore belong in the initial implementation, not in a later cleanup. (LogRocket)

Its current AI layer, Galileo, adds session and issue summaries, funnel and heatmap analysis, anomaly detection, and MCP or API access on the relevant packages. These features can prioritize evidence, but an AI-generated diagnosis should still be verified against the session, error, request, release, and source code.

Official product example: Introducing the LogRocket MCP: Take the blindfold off your AI agents shows LogRocket’s current engineering-oriented AI workflow. It is a vendor-produced demonstration, not independent evidence of effectiveness. The accompanying LogRocket announcement was published on 2 June 2026. (YouTube)

Current Contentsquare has more technical monitoring than legacy Hotjar—but packaging matters

It would now be inaccurate to say Hotjar has no error or performance capability. The current Contentsquare Free and Growth material includes starter Error Monitoring and Performance Monitoring. Full Experience Monitoring is a Pro add-on and is included with Enterprise, where it can connect replay to Error Analysis, RUM, Core Web Vitals, and synchronized Network Details.

That still does not make the lightweight website-research workflow equivalent to LogRocket. Current Network Details requires the Experience Monitoring add-on on Pro and is included on Enterprise. Legacy Hotjar console tracking is off by default, limited to uncaught errors, and visible in recordings only on the legacy Scale plan. (Contentsquare)

Heatmaps, surveys, and feedback

Fullstory: behavior analysis first, feedback as an add-on

Fullstory includes heatmaps, click maps, scroll maps, and page-level behavioral analysis. Guides and Surveys is an add-on to paid Analytics plans. This makes sense for a product team that wants to connect an in-product survey to existing behavioral segments and replay.

It is less natural when the entire buying case is “we need a fast website heatmap, a feedback button, an exit survey, and interview recruitment.” The capability exists, but it is not the product’s clearest category distinction.

LogRocket: broader than a debugging-only tool

LogRocket’s current Core packaging includes heatmaps, clickmaps, rage-click maps, funnels, paths, and surveys. Product managers and designers can therefore investigate behavior without handing every question to engineering.

The research workflow is still less complete than Contentsquare’s Voice of Customer and interview-recruitment combination. No current native interview-recruitment capability was verified for LogRocket, and its strongest differentiator remains technical evidence.

Hotjar / Contentsquare: the strongest integrated website-research workflow

The current Free offering combines heatmaps, Attention Maps, replay, 100 monthly survey responses, three active surveys or widgets, and five user interviews or tests. Growth and higher plans add more data, AI summaries, zone-based analysis, journey analysis, and expanded Voice of Customer packaging.

This combination is particularly useful when observation and asking are both part of the method. A heatmap can identify a page area worth investigating; recordings can show selected examples; a targeted survey can collect self-reported context; interviews can explore the problem directly.

The evidence types should not be collapsed into one conclusion. Heatmaps aggregate interaction, replays show individual sequences, surveys capture self-report, and interviews provide qualitative depth. Each has different bias and coverage.

Research and feedback comparison

Current Contentsquare replay supports event search, frustration filters, comments, favorites, sharing, and network details when Experience Monitoring is enabled. Legacy Hotjar recordings include rage clicks, U-turns, survey responses, exact-moment sharing, Highlights, and Jira creation. (Contentsquare Help Center)

Session search and segmentation

A replay library is only useful when a team can find the right session. “Watch random recordings” is not a scalable research method.

Fullstory

Fullstory’s strength is broad behavioral search across events, elements, pages, users, sessions, device context, and experience signals. Teams can define a segment after the data was collected, compare it with another group, and open replay examples from the result. This is particularly useful for questions that were not anticipated during instrumentation.

LogRocket

LogRocket supports filtering by identity, session properties, device and browser, URL, events, release, errors, issues, network conditions, and performance context. An engineering team can begin with an exception or affected release; a product team can begin with a funnel or behavior.

The quality of search depends on identity and release hygiene. Pass stable user IDs and relevant custom traits, establish a release convention, and avoid sending unnecessary personal information.

Hotjar / Contentsquare

Contentsquare supports replay filtering, frustration signals, user IDs, pageviews, events, variables, segments, and analysis context. Current Free offers materially more aggregate session coverage than legacy Hotjar Free, but replay remains sampled on the Free plan.

Sampling is not inherently invalid, but it changes what the library can answer. A rare browser-specific failure or a small enterprise-account segment can be absent from a sampled replay set even when aggregate analytics recorded the sessions.

B2B account context

All three products can carry some form of account identifier through user properties, traits, custom variables, or integrations. That can support a search such as “show sessions for account 4827.” It is not the same as a first-class B2B account model.

A B2B team may need to answer:

• Did the customer account adopt Reporting broadly, or did one champion generate most activity?
• Which users inside the company completed the workflow?
• Which product areas are missing?
• Is a decline isolated to one user or visible across the account?
• How does the account compare with similar companies?
• Which sessions explain a change in account-level adoption?

Fullstory’s multi-organization administration should not be confused with customer-account analytics. LogRocket’s custom user traits do not automatically calculate account adoption. Contentsquare Experience Analytics custom variables and segments do not automatically create a company portfolio view; buyers who need that view should evaluate the separately packaged Product Analytics Pro Account Analytics capability against their exact B2B requirements.

When those questions are central, keep replay but add an account-centric analytical layer. See product usage by company, Hymetry Companies, and Hymetry Users.

Mobile support

“Mobile support” can refer to three different things:

1. replaying a responsive website in a mobile browser;
2. replaying a WebView inside a native app;
3. capturing a fully native iOS, Android, React Native, or Flutter interface.

Confirm which one a vendor means.

Fullstory

Fullstory for Mobile Apps is a paid add-on with current setup documentation for Android, iOS, Flutter, React Native, and Cordova or Capacitor. Its documentation states that mobile replay reconstructs drawing operations rather than recording screenshots and masks text, images, and personal data at the source by default. (Fullstory mobile SDK setup)

LogRocket

LogRocket currently documents SDKs for iOS, Android, React Native, and Flutter. This makes it a strong candidate for teams that want the same engineering-oriented replay and issue model across web and mobile. The proof of concept should still test gestures, navigation, crashes, privacy, performance impact, and unsupported views on the actual framework. (LogRocket)

Hotjar / Contentsquare

Contentsquare has a broader native mobile-app platform and documentation for app and WebView replay. That capability should not be treated as an automatic entitlement of the website-oriented Free or Growth plan replacing Hotjar. Ask for the exact mobile product, SDK, session allowance, retention, masking model, and price.

A mobile-first team should compare these candidates with dedicated mobile-replay products rather than choosing solely from their web feature lists.

Privacy, masking, and access

Session replay can expose form values, account names, messages, documents, support data, URLs, request bodies, tokens, and identifiers. A privacy review is part of implementation, not a post-launch setting.

Fullstory

Fullstory’s Private by Default model supports three levels:

• Exclude: do not capture the element or its child interactions.
• Mask: preserve a wireframe-like representation and interaction context without the original text.
• Unmask: capture the approved content.

When Private by Default is enabled, masked capture is the starting state. Fullstory also separates network capture and body allowlisting so teams can approve specific safe fields. (Fullstory Help Center)

LogRocket

LogRocket never records password inputs, but its DOM documentation says other elements are captured by default unless configured otherwise. Teams can sanitize individual elements, all inputs, all text, images, attributes, classes, URLs, requests, and responses on the client.

The most important implementation detail is that DOM and network privacy are separate. Hiding a field in replay does not prevent its value from appearing in a request body. Network sanitizers must be tested with real production payload shapes. (LogRocket)

Hotjar / Contentsquare

New Contentsquare accounts are configured to mask visible page text and numbers by default; inputs and textareas are never captured, while identity and custom fields require separate review. This differs from legacy Hotjar suppression settings, so migrating customers must review the new rules rather than assuming their old configuration applies. The current migration documentation also requires a new tracking tag and new CSP allowlisting where relevant. (Hotjar)

Access and governance

For every product:

• define who can view replay and technical data;
• separate admin, analyst, support, and developer access where supported;
• document consent and lawful-basis decisions;
• exclude sensitive routes before capture;
• test masking in the built application rather than only reading selectors;
• review identity properties, URLs, custom events, console logs, and request payloads;
• establish deletion and retention processes;
• repeat the review after major UI, SDK, or routing changes.

Privacy controls are technical safeguards, not a replacement for legal and compliance review.

Implementation effort

Fullstory: moderate setup, higher analytical governance

The basic web snippet is straightforward. Production value depends on identity, properties, privacy, event and page conventions, allowed network data, team permissions, and reusable segments. Larger teams should define who owns taxonomy and saved searches before the replay library becomes difficult to navigate.

LogRocket: moderate-to-high setup when used properly

The SDK can begin recording quickly, but the engineering value requires more:

• initialize the SDK early enough to capture the relevant requests and errors;
• pass stable identity and release information;
• upload or expose source maps before errors occur;
• configure DOM, URL, console, and network privacy;
• test request and response sanitizers;
• validate frameworks, wrappers, iframes, WebSockets, and mobile SDK behavior;
• connect issues and alerts to the team’s operational workflow.

This implementation effort is part of the product’s value. A LogRocket installation that records only visual playback leaves much of its differentiation unused.

Hotjar / Contentsquare: low for basic website research, higher for the complete platform

A website team can install the current tag and begin with replay, heatmaps, funnels, and surveys. Advanced work requires page mappings, zones, events, variables, segments, survey targeting, privacy review, and potentially Experience Monitoring or Product Analytics configuration.

A legacy Hotjar-to-Contentsquare migration is not an in-place rename. Current documentation says the customer installs a new Contentsquare tag and cannot migrate existing Hotjar data. Run a controlled overlap only after reviewing duplicate capture, consent, CSP, performance, retention, and data-export needs. (Hotjar)

For analytical terminology that can otherwise be confused during implementation, see page views, Visits, sessions, and engaged time.

Pricing and retention

Prices and limits are snapshots, not permanent product characteristics. Verify the live calculator, currency, billing period, taxes, minimum contract, overage behavior, and included products before procurement.

Current public price anchors

• Fullstory: paid prices are custom. New accounts begin with a 14-day trial capped at 5,000 sessions, 20 users, and two weeks of replay and analytics retention. FullstoryFree then provides 30,000 monthly sessions, 5,000 server events, 12 months of replay and analytics retention, and up to 10 users; it requires a business-domain email and excludes mobile. (Fullstory)
• LogRocket: at the official calculator’s current 25,000-session setting, the page shows a starting price of $176 per month. It states that the final price depends on seats, retention, and add-ons such as Streaming Export. Core includes surveys, heatmaps, frontend performance, paths, funnels, SSO, integrations, and MCP or API access; Pro adds Galileo AI; Enterprise adds unlimited seats and self-hosting. (LogRocket)
• Contentsquare Experience Analytics: the current pricing result shows Growth at $49 per month billed annually for 7,000 monthly sessions with full replay at that level. (Contentsquare)
• Contentsquare Voice of Customer: the current pricing result shows Growth at $99 per month billed annually for 500 monthly responses. (Contentsquare)

The Contentsquare limits require careful interpretation. The Free plan’s 200,000 figure refers to analytics sessions, while Free replay captures five percent of those sessions up to 10,000 replays. Experience Analytics Growth presents full replay at its 7,000-session entry level; above 20,000 sessions, current documentation describes 15% sampling with a minimum of 20,000 replays. These are not interchangeable units, and the apparently larger Free number does not mean every Free session has a recording. (Hotjar)

What drives total cost

The invoice is only part of total cost. Compare:

• captured sessions: especially whether all sessions, a sample, or conditionally selected sessions are recorded;
• retention: replay, analytics, errors, and exports may have different periods;
• replay volume: aggregate sessions and stored replays can be metered separately;
• mobile sessions: determine whether web and mobile share one quota;
• seats: particularly for LogRocket configurations and Fullstory paid contracts;
• advanced analytics: journeys, dashboards, AI, enterprise governance, and data export;
• surveys and feedback: Fullstory add-on packaging and separate Contentsquare Voice of Customer plans;
• error and performance data: network, RUM, source maps, streaming export, and Experience Monitoring;
• implementation: SDK work, page mapping, identity, source maps, custom events, and migration;
• privacy review: masking, request sanitization, consent, access, deletion, and recurring audits.

A cheaper replay allowance can become more expensive when the team needs a second survey product, a separate error-monitoring tool, or manual data work. A broader platform can be more expensive than necessary when the team needs only landing-page heatmaps.

Customer ratings and review themes

G2 is used as the common rating source because it has profiles for all three names. Ratings are directional evidence, not controlled tests. The review populations differ in size, company mix, use case, date, and plan.

The table uses rounded review counts because G2 totals can move daily: approximately 1,050 reviews for Fullstory, 2,400 for LogRocket, and 340 for Hotjar by Contentsquare at verification.

Fullstory review themes

Common praise

Reviewers repeatedly value the ability to replay detailed user experiences, search or filter behavior, and connect qualitative examples to product or support investigation. Ease of use and useful insights appear frequently in G2’s review summaries, particularly after teams understand the platform.

Common criticism

A recurring counter-theme is learning curve. Fullstory’s broad product can feel complex to new users, and buyers commonly raise limitations, configuration, or cost when advanced capability and higher volume are required.

Best fit suggested by reviews

The review mix points toward product, UX, support, and analytics teams in mid-market or larger environments that will use more than a basic recording list.

Limits of the review sample

Reviews span different Fullstory packages, pricing eras, implementations, and user roles. A reviewer using only replay is not evaluating the same product surface as a team using journeys, Dev Tools, mobile, StoryAI, and data activation.

LogRocket review themes

Common praise

Session Replay is the dominant positive theme. Reviewers frequently connect its value to troubleshooting, support, network context, and understanding what preceded a bug. Ease of use and onboarding also recur, especially when compared with reconstructing an issue from a written report.

Common criticism

Price is a recurring concern, particularly as captured sessions, retention, seats, and additional requirements grow. Session management, filtering, interface complexity, and occasional capture gaps also appear in review summaries.

Best fit suggested by reviews

The strongest fit is an engineering, product, or technical-support team that will use replay and technical data together. The product is harder to justify when a buyer wants only basic heatmaps or anonymous website recordings.

Limits of the review sample

LogRocket’s review count is much larger than the other two and has a substantial small-business component. Older reviews may describe former free tiers, previous pricing, or features that have since moved into current Core, Pro, or Enterprise packaging.

Hotjar by Contentsquare review themes

Common praise

Ease of setup, an approachable interface, heatmaps, and recordings are the strongest recurring themes. Reviewers value being able to show website behavior visually without requiring every stakeholder to become an analytics specialist.

Common criticism

Reviewers describe limits in analytical depth, feature access, filtering, replay handling, and scaling beyond straightforward website research. Some criticism concerns plan limits or behavior from the legacy Hotjar platform rather than the new Contentsquare experience.

Best fit suggested by reviews

The review profile supports Hotjar’s historical fit with small-business, marketing, CRO, website, and UX teams seeking fast visual insight and direct feedback.

Limits of the review sample

This is the most important caveat in the rating section: the Hotjar by Contentsquare profile spans the legacy Hotjar product, while new evaluators now enter the broader Contentsquare platform. Contentsquare also has a separate G2 profile with a different review population. Do not blend those ratings or imply that every Hotjar review evaluates the current Free, Growth, Product Analytics, Experience Monitoring, or mobile experience.

G2’s recurring review summaries identify Fullstory’s ease, insights, and learning curve; LogRocket’s session replay and price concerns; and Hotjar’s ease, heatmaps, replay, and limitations. (G2)

Do not let the decimal choose the product

The difference between 4.3, 4.5, and 4.6 does not answer the buying question. A website marketer can be better served by a 4.3-rated tool built around heatmaps and feedback than by a 4.6-rated engineering tool. An engineer can be better served by LogRocket even when another platform has broader journey analysis. The workflow, implementation, data policy, and total cost matter more than a tenth of a star.

Using them with Mixpanel, Amplitude, PostHog, or GA4

Session replay and structured analytics answer different parts of an investigation.

A structured product-analytics platform is usually better for:

• event taxonomies and canonical definitions;
• cohorts and retention;
• experiments and feature analysis;
• large-scale funnels and behavioral segmentation;
• governed metric definitions;
• warehouse or activation workflows.

Replay is usually better for:

• seeing the sequence behind a metric;
• checking whether the interface behaved as expected;
• observing visible states that were not modeled as events;
• selecting examples for product, UX, support, or engineering review;
• connecting a reported issue to the actual session.

With Mixpanel or Amplitude

Keep the existing event model when it is trusted. Link an event, funnel step, user ID, or session identifier to Fullstory or LogRocket for evidence. Current Contentsquare Free documentation also lists Mixpanel integration, and its separate Product Analytics offering may overlap more directly with the existing tool.

Do not rebuild a mature taxonomy solely because a replay vendor offers funnels. First decide which system owns the metric and which system supplies evidence.

With PostHog

A team already using PostHog should compare the specialist value of another replay product against the cost of another SDK and data store. LogRocket may still be justified for deeper frontend diagnosis; Fullstory for a broader product and UX investigation workflow; Contentsquare for website research, feedback, and enterprise experience analysis.

With GA4

Keep GA4 or another web-analytics and attribution system for acquisition channels, campaigns, landing-page traffic, consent-aware measurement, and marketing outcomes. Hotjar / Contentsquare can add heatmaps, replay, surveys, and website-research context, but replay does not recreate attribution.

Integration principles

• Use the same stable user ID where lawful and necessary.
• Add a safe session link rather than copying sensitive replay data into tickets.
• Pass account IDs only when the team has a defined B2B use case and access model.
• Align event and page definitions across systems.
• Document which source owns conversion, retention, performance, and account metrics.
• Do not assume matching user counts when sampling, consent, ad blocking, retention, and identity rules differ.

Illustrative investigation: the B2B Reporting workflow

Illustrative scenario: The following company, users, metrics, and behavior are fictional. They demonstrate an investigation method and are not customer evidence.

A B2B SaaS company has a Reporting workflow. Its aggregate data shows:

• report completion fell;
• total page visits stayed stable;
• some users repeatedly click Export;
• a JavaScript error appears in one browser;
• several customer companies have different adoption patterns;
• the marketing landing page for Reporting also has a conversion problem.

This is not one problem. It is at least four connected questions:

1. Did the in-product workflow become harder to complete?
2. Is a frontend defect affecting one browser?
3. Are adoption differences concentrated in particular customer accounts or users?
4. Is the public landing page failing for a separate marketing reason?

Fullstory

A product or UX team would naturally begin with the behavioral pattern.

1. Define the Reporting funnel or completion behavior.
2. Compare completed and incomplete sessions.
3. Segment by browser, release, user property, and—where supplied—company ID.
4. Search for repeated interactions with the Export control and related experience signals.
5. Open selected replay examples at the relevant funnel or event moment.
6. Inspect page flow, heatmap, and journey context around Reporting.
7. Use Dev Tools when a selected session contains an error or suspicious request.
8. Save a segment so the team can compare behavior after a fix.

Fullstory would be especially useful for deciding whether the problem is isolated to one UI state or appears across several paths. It can carry a company identifier as a property, but it does not automatically calculate account-level adoption breadth or tell the team whether one champion generated most of a company’s activity.

LogRocket

An engineering team would naturally begin with the browser-specific failure.

1. Filter the Reporting workflow by browser and release.
2. Find the JavaScript exception or AI-grouped issue.
3. Open the affected sessions.
4. Replay the moments before and after Export.
5. Inspect console output and the source-mapped stack trace.
6. Check whether the Export request fired, failed, returned an unexpected body, or completed slowly.
7. Compare network timing and frontend performance with unaffected sessions.
8. Quantify how many sessions and users were affected.
9. create or link the engineering issue;
10. verify the fix in a new release and monitor whether the error and completion gap disappear.

LogRocket can also build the product funnel and show heatmaps. Its advantage in this scenario is the direct route from a visible failed export to the request, exception, release, and code context.

Hotjar / Contentsquare

A marketing or website-UX team would naturally begin with the public landing-page problem.

1. Review the landing-page funnel and compare device or traffic segments.
2. Inspect click, scroll, and Attention Maps.
3. Watch recordings from visitors who reached but did not use the primary call to action.
4. Trigger a short survey after an abandonment or at a relevant page moment.
5. Review direct feedback associated with the page.
6. Recruit selected visitors for interviews or tests where appropriate.
7. Use current Error Monitoring or Performance Monitoring if the landing-page problem appears technical.
8. Test a revised content hierarchy, form, or call to action and compare the result.

For the authenticated Reporting product, Contentsquare can still supply replay, funnels, journey analysis, and monitoring. The lighter Hotjar-style workflow is less naturally suited than LogRocket to payload-level debugging and less naturally suited than an account-centric model to comparing adoption across customer companies.

What replay alone cannot prove

None of the products can prove from replay alone that:

• repeated Export clicks mean the user was confused;
• a pause means the user was reading;
• the JavaScript error caused every failed report;
• a company with fewer visits is at risk;
• the landing-page copy caused the conversion decline;
• one visible session represents the wider user population.

Repeated clicks may indicate missing feedback, latency, a defect, habit, an accessibility problem, or impatience. The browser error may be causal, correlated, or unrelated to another failure path. Stable visits can coexist with lower completion because users return repeatedly, abandon late, or use a narrower part of Reporting.

When structured analytics or account analysis is also required

Use structured analytics to measure:

• completion rate and its denominator;
• browser and release impact;
• the prevalence of the error;
• successful versus failed request outcomes;
• repeat use and retention;
• landing-page conversion by acquisition source.

Use account-level analysis to measure:

• which companies adopted Reporting;
• how many users in each company use it;
• whether adoption depends on one champion;
• which companies lost breadth or momentum;
• which users and Visits explain the account-level difference.

Decision by scenario

Migration considerations

Preserve definitions before switching

Export or document:

• active user and session definitions;
• page, event, funnel, and journey definitions;
• identity and account properties;
• saved segments and filters;
• privacy and exclusion rules;
• consent behavior;
• source-map and release processes;
• alert and issue integrations;
• replay URLs used in support or research repositories;
• retention and deletion obligations.

A visually similar funnel can produce a different number after migration because the products define sessions, pageviews, sampling, identity, and event timing differently.

Plan the retention gap

Replay history usually does not transfer between vendors. Keep the old system read-only for the required period where contract and policy permit. Do not assume a new plan’s retention applies retroactively.

For Hotjar-to-Contentsquare migration, current documentation explicitly states that existing data cannot be migrated and that a new tag is required. Export important legacy material before decommissioning the old account. (Hotjar)

Avoid careless dual capture

Running two replay SDKs can increase:

• network and client-side work;
• consent complexity;
• the volume of sensitive data requiring review;
• CSP configuration;
• duplicate support links;
• disagreement between sampled session counts.

Use a controlled comparison cohort or staging environment where possible. If production overlap is necessary, define its duration, routes, user population, and deletion plan.

Rebuild privacy rules rather than copying selectors blindly

The products have different defaults:

• Fullstory can begin in a masked Private by Default state.
• LogRocket records non-password DOM content by default unless additional sanitization is configured.
• Current Contentsquare masks visible page text and numbers by default, never captures inputs or textareas, and requires separate review of identity and custom fields.

A selector copied from one SDK may not behave the same in another. Test the rendered replay, network payloads, URLs, custom events, and exports.

Train teams around an investigation method

Migration fails when the new replay library becomes another unstructured list. Give each team a starting question:

• product begins with a metric or cohort;
• UX begins with a research question and selection criteria;
• engineering begins with an issue, release, error, or performance condition;
• marketing begins with a conversion or content problem;
• customer success begins with an account signal.

Final decision by role

Product manager

Start with Fullstory when product behavior, journeys, funnels, and selected sessions belong in one broad investigation surface. Start with LogRocket when the product problem regularly becomes a frontend diagnosis. Keep dedicated product analytics when event governance, cohorts, retention, or experimentation remain central.

Product designer or UX researcher

Choose Fullstory for authenticated product research and cohort-based replay selection. Choose Hotjar / Contentsquare when the work centers on websites, heatmaps, surveys, feedback, and interviews. Neither replay nor an AI summary replaces moderated research or direct customer conversation.

Frontend engineer

Choose LogRocket when console, network, stack traces, source maps, releases, and performance are mandatory. Fullstory can support debugging but is usually purchased for a broader experience-analytics use case. Current Contentsquare monitoring is more capable than legacy Hotjar but is package-dependent.

Marketing, CRO, or ecommerce team

Choose Hotjar / Contentsquare when the workflow begins with a page or funnel and ends with a content, layout, form, or experiment hypothesis. Keep GA4 or another attribution system for acquisition and campaign measurement.

Customer support

Choose LogRocket for technical reproduction. Choose Fullstory when support needs a broader shared behavioral platform with product and UX. Establish access and privacy rules before copying replay links into tickets.

B2B customer success or account management

None of the three is primarily organized around multi-user customer-account adoption. Use an account-centric product-usage layer and connect it to relevant replay where possible.

Privacy or platform team

Do not choose from a marketing feature matrix. Compare default capture, client-side masking, network sanitization, consent, data residency, access controls, retention, deletion, export, SDK behavior, and deployment architecture. LogRocket is the only one of the three currently advertising self-hosting, and only on Enterprise.

Where Hymetry fits

Hymetry is account-centric product intelligence for B2B SaaS. It is relevant when the investigation should begin with:

1. a product-area or grouped-page signal;
2. the affected company;
3. the contributing users;
4. the relevant Visits and session evidence.

The difference is the starting model. Fullstory, LogRocket, and Hotjar / Contentsquare primarily begin with behavior, sessions, website analysis, or technical issues. Hymetry organizes product usage around Pages, Companies, Users, and Visits, so a B2B team can move from account-level adoption to the people and sessions behind it.

In the illustrative Reporting scenario, Hymetry is relevant when the team asks:

• Which customer companies adopted Reporting?
• Is adoption broad across several users or concentrated in one champion?
• Which accounts lost momentum?
• Which grouped pages or product areas changed?
• Which users contributed to the change?
• Which Visits are worth reviewing?

That account-to-session path is narrower than the broader mature Fullstory platform, less technically detailed than LogRocket’s developer observability, and different from Contentsquare’s surveys and conversion-research workflow.

Hymetry is not a replacement for:

• LogRocket’s detailed frontend debugging, console, network, stack-trace, and performance workflow;
• Hotjar / Contentsquare’s website surveys, feedback, interview recruitment, and conversion-research workflow;
• Fullstory’s broader mature experience-analytics platform;
• a dedicated mobile-replay product;
• a full CRM, support desk, customer-success workflow platform, or marketing-attribution system.

It can be a narrower B2B account-centric alternative or companion when the central question is which customer account is affected, which users contributed, and which Visits contain the evidence.

Current limitations should remain visible:

• Hymetry is a newer product;
• it has a smaller ecosystem;
• it has fewer integrations;
• it does not yet have an established independent review score;
• its developer-observability capabilities are less advanced than LogRocket’s.

See Hymetry Visits, Companies, Users, the UX research use case, and the product teams use case.

FAQ

Is Fullstory better than LogRocket?

Not universally. Fullstory is usually the better fit for product and UX teams that want replay connected to broad behavioral, funnel, heatmap, journey, and search workflows. LogRocket is usually the better fit for engineering and product teams that need replay connected to console, network, JavaScript errors, source maps, and frontend performance.

Is Hotjar an alternative to Fullstory?

It can be an alternative for recordings, heatmaps, funnels, website UX research, surveys, and feedback. It is not a complete substitute when the team needs Fullstory’s broader authenticated-product analytics, behavioral search, journeys, or enterprise experience-analysis workflow. For a new evaluation, compare Fullstory with the relevant Contentsquare products rather than relying on old standalone Hotjar packaging.

Is Hotjar an alternative to LogRocket?

Only for the overlapping replay, heatmap, funnel, and survey use cases. Hotjar / Contentsquare is stronger for website and conversion research. LogRocket is stronger for frontend debugging, console and network evidence, source-mapped errors, releases, and engineering issue workflows.

Which is best for frontend debugging?

LogRocket is the strongest default. It is designed to connect a user-visible problem to console logs, network activity, request and response data, JavaScript errors, stack traces, releases, performance, and affected sessions. Fullstory has useful Dev Tools, while current Contentsquare monitoring depends more heavily on package.

Which is best for UX research?

For authenticated product UX research, Fullstory is usually the strongest starting point because of its search, segmentation, funnels, journeys, heatmaps, and replay. For website research that needs heatmaps, surveys, feedback, and interviews in one workflow, Hotjar / Contentsquare is usually stronger.

Which is best for landing pages?

Hotjar / Contentsquare is the strongest default for landing pages because the workflow combines heatmaps, Attention Maps, replay, funnels, surveys, feedback, and interview or test recruitment. Keep GA4 or another attribution system for traffic-source and campaign analysis.

Which has the best session replay?

There is no context-free winner. Fullstory has the strongest broad product and UX investigation model. LogRocket has the strongest technical replay context. Hotjar / Contentsquare has the strongest website-research workflow around replay. Test fidelity on your own SPA, iframe, canvas, privacy, and mobile flows.

Which supports mobile apps?

Fullstory supports Android and iOS through its mobile add-on and has current guidance for Flutter, React Native, and Cordova or Capacitor. LogRocket documents iOS, Android, React Native, and Flutter SDKs. Contentsquare has a broader native mobile platform, but buyers should verify the exact package rather than assuming mobile is included with the website-oriented Hotjar replacement plan.

Which captures console and network data?

LogRocket provides the deepest default engineering workflow. Fullstory captures console context and supports network capture with safe headers and allowlisted bodies. Current Contentsquare offers starter error and performance monitoring, with full Experience Monitoring and Network Details on qualifying higher packages, while legacy Hotjar’s console capability is much more limited.

Which includes surveys?

LogRocket includes surveys in current Core packaging. Fullstory offers Guides and Surveys as an add-on to paid plans. Contentsquare includes limited surveys in Free and sells expanded Voice of Customer plans.

Which has a free plan?

Fullstory and Contentsquare have permanent free plans. FullstoryFree currently includes 30,000 monthly sessions, 12 months of replay and analytics retention, up to 10 users, and 5,000 server events per month. Contentsquare Free currently includes 200,000 analytics sessions, up to 10,000 replay captures, 100 survey responses, three active surveys or widgets, five interviews or tests, and unlimited users. LogRocket currently advertises a 14-day trial rather than a permanent free tier.

Can these tools replace product analytics?

They overlap with product analytics, and Fullstory, LogRocket, and Contentsquare all offer funnels or behavioral analysis. They do not automatically replace a mature event model, canonical metric definitions, retention and cohort analysis, experimentation, or warehouse workflows. Keep a dedicated product-analytics platform when those requirements matter.

Can replay reveal why a user struggled?

Replay can provide evidence, but it cannot establish intent with certainty. A pause, repeated click, navigation change, or abandonment can have several explanations. Correlate replay with technical data, structured events, surveys, interviews, and user or account context.

Which is best for B2B account analytics?

Fullstory and LogRocket are not primarily organized around multi-user company adoption; custom account IDs provide context but do not calculate it automatically. The separately packaged Contentsquare Product Analytics Pro includes Account Analytics, so buyers should test that capability against the company portfolio, adoption breadth, champion concentration, and linked-session workflow they require. A dedicated account-centric layer may still be needed.

Where does Hymetry fit?

Hymetry fits when a B2B SaaS team wants to begin with a grouped-page or product-area signal, find the affected company, identify the contributing users, and inspect relevant Visits. It is a narrower account-centric alternative or companion, not a replacement for LogRocket’s developer debugging, Contentsquare’s website-research workflow, Fullstory’s broader platform, or dedicated mobile replay.

Disclosure

Hymetry publishes this comparison and is mentioned only where account-centric B2B product usage and session evidence are relevant. Product capabilities, prices, ratings, packaging, and ownership are verified against linked sources and may change after publication.

Methodology

This comparison was researched against the products and public sources available on 4 August 2026.

The source order was:

1. current official product, documentation, pricing, privacy, implementation, and release material;
2. G2 as the common customer-rating source;
3. independent review material and current videos for workflow context.

The comparison did not use vendor comparison pages as neutral evidence. Vendor-authored product and documentation pages were used only for that vendor’s own capabilities, packaging, limits, or implementation.

No hands-on laboratory test was performed. Statements about replay fidelity are therefore based on current documentation and should be validated with a proof of concept in the buyer’s actual application.

The Hotjar comparison required special treatment because:

• Hotjar is now part of Contentsquare;
• new evaluators sign up for Contentsquare;
• legacy Hotjar accounts can still exist;
• a new Contentsquare tag is required;
• legacy data does not migrate;
• current product packaging is modular;
• the Hotjar by Contentsquare G2 profile is not the same review sample as the broader Contentsquare G2 profile.

Ratings and review counts are snapshots. Prices can vary by currency, billing cycle, traffic, replay volume, retention, seats, add-ons, contract, and negotiated terms.

Sources

Render these through the repository’s current source-list component. Open external links safely and visibly identify the source organization.

Fullstory official sources

• Plans and packages: https://www.fullstory.com/plans/
• FullstoryFree: https://www.fullstory.com/fullstoryfree/
• Platform overview: https://developer.fullstory.com/overview/what_is_fullstory/
• Session Replay: https://www.fullstory.com/platform/session-replay/
• Complex sites, DOM, Canvas, and WebGL: https://help.fullstory.com/hc/en-us/articles/360020623094-Does-Fullstory-work-with-my-complex-site
• Iframes: https://help.fullstory.com/hc/en-us/articles/360020622514-Can-Fullstory-capture-content-that-is-presented-in-iframes
• Tabbed browsing: https://help.fullstory.com/hc/en-us/articles/360020623674-Tabbed-Browsing
• Dev Tools FAQ: https://help.fullstory.com/hc/en-us/articles/360020623214-Frequently-Asked-Questions-about-Dev-Tools
• Network allowlisting: https://help.fullstory.com/hc/en-us/articles/360020828393-How-do-I-enable-Network-Allowlisting
• Console: https://help.fullstory.com/hc/en-us/articles/360020828533-How-do-I-use-the-Fullstory-Console
• Private by Default: https://help.fullstory.com/hc/en-us/articles/360044349073-Fullstory-Private-by-Default
• Native mobile: https://help.fullstory.com/hc/en-us/articles/360020623114-Does-Fullstory-work-with-native-mobile-apps
• Guides and Surveys: https://help.fullstory.com/hc/en-us/articles/38194549073303-Guides-and-Surveys-Page-and-Audience-Targeting
• Release notes: https://help.fullstory.com/hc/en-us/articles/4410282600343-Fullstory-Release-Notes

LogRocket official sources

• Pricing: https://logrocket.com/pricing
• Product overview: https://logrocket.com/
• Session Replay: https://logrocket.com/products/session-replay
• Session Replay documentation: https://docs.logrocket.com/docs/session-replay
• Data collected: https://docs.logrocket.com/docs/data-collected
• DOM sanitization: https://docs.logrocket.com/reference/dom
• Network sanitization: https://docs.logrocket.com/reference/network
• Iframes: https://docs.logrocket.com/reference/mergeiframes
• Cross-tab cookies: https://docs.logrocket.com/reference/cookies
• Session troubleshooting: https://docs.logrocket.com/docs/troubleshooting-sessions
• Privacy: https://docs.logrocket.com/docs/privacy
• JavaScript stack traces and source maps: https://docs.logrocket.com/reference/javascript-stack-traces
• Mobile SDK overview: https://docs.logrocket.com/docs/introduction-to-logrocket-mobile
• Current issue detection: https://docs.logrocket.com/docs/issues-2026
• Galileo: https://docs.logrocket.com/docs/galileo
• Extended session retention: https://docs.logrocket.com/docs/extended-session-retention
• Funnels: https://docs.logrocket.com/docs/funnels-1
• LogRocket MCP announcement: https://blog.logrocket.com/introducing-the-logrocket-mcp/

Hotjar and Contentsquare official sources

• Hotjar transition and current signup path: https://contentsquare.com/hotjar/
• Unified platform announcement: https://www.hotjar.com/hotjar-contentsquare-unified-platform/
• Current pricing: https://contentsquare.com/pricing/
• Contentsquare Free migration guide: https://help.hotjar.com/hc/en-us/articles/41819264240273-Explore-Contentsquare-Free-More-Data-New-Features-and-Still-Free
• Free and Growth packaging: https://support.contentsquare.com/hc/en-us/articles/37271803160849-Contentsquare-Free-and-Growth-plans
• Free-plan details: https://contentsquare.com/blog/contentsquare-free-plan/
• Session Replay player: https://support.contentsquare.com/hc/en-us/articles/37271816271121-Session-Replay-player
• Iframe behavior: https://support.contentsquare.com/hc/en-us/articles/37271704552337-Tracking-iframes-inside-Session-Replay-and-Heatmaps
• Network Details: https://support.contentsquare.com/hc/en-us/articles/37271834510097-How-to-analyze-Network-Details-in-Session-Replay
• Replay summaries: https://support.contentsquare.com/hc/en-us/articles/37271714298897-How-to-use-Session-Replay-Summaries
• Legacy Hotjar console tracking: https://help.hotjar.com/hc/en-us/articles/36819965895953-How-to-Use-Console-Tracking-for-Finding-Errors
• Legacy Hotjar recordings player: https://help.hotjar.com/hc/en-us/articles/36820025895697-Recordings-Player-Guide
• WebView replay: https://docs.contentsquare.com/en/webview-tracking-tag/session-replay/
• Capacitor replay: https://docs.contentsquare.com/en/capacitor/session-replay/

G2 ratings and review themes

• Fullstory reviews: https://www.g2.com/products/fullstory/reviews
• LogRocket reviews: https://www.g2.com/products/logrocket/reviews
• Hotjar by Contentsquare reviews: https://www.g2.com/products/hotjar-by-contentsquare/reviews
• Broader Contentsquare profile, used only to explain the separate review sample: https://www.g2.com/products/contentsquare/reviews

Selected videos

• Independent comparison wrap-up: https://www.youtube.com/watch?v=Ltt8xUrKfrA
• Official LogRocket MCP demonstration: https://www.youtube.com/watch?v=4Jt1rH_gaTk

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