GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best Web Browser Tracking Software of 2026
Top 10 ranking of web browser tracking software for teams, with feature comparisons and tradeoffs for tools like LogRocket, ActivTrak, Hubstaff.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
If you’re a product or engineering team chasing session-level RCA without hand-reconstructing logs, LogRocket is the best fit, while Microsoft Clarity is the budget-friendly entry for web publishers needing quick replay and heatmaps, and ActivTrak works best when you need user-attributed browser activity analytics across apps and internal portals.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
LogRocket
Session replay fused with console and network context plus custom events in one investigative timeline.
Built for fits when product and engineering teams need session-level RCA without manual log reconstruction..
ActivTrak
Editor pickUser-attributed session reconstruction that links browsing sequences to known identities for reporting.
Built for fits when orgs need user-attributed browser activity analytics across apps and internal portals..
Hubstaff
Editor pickTimesheet-driven work reporting connects browser activity capture to measured work time for accountability workflows.
Built for fits when teams need evidence-based browser activity oversight tied to timekeeping decisions..
Related reading
Comparison Table
This comparison table covers web browser tracking tools such as LogRocket, ActivTrak, Hubstaff, Microsoft Clarity, and Smartlook to map how each product captures user behavior and turns it into usable analysis. It focuses on integration depth, automation and API surface, and governance controls where available, so readers can compare extensibility, admin controls, and operational constraints across vendors. The table also highlights key tradeoffs in configuration options and data handling patterns relevant to session recording and event analytics.
LogRocket
developerSession replay and error tracking for web applications.
Session replay fused with console and network context plus custom events in one investigative timeline.
LogRocket captures session replay script output and pairs it with runtime signals like JavaScript console messages and HTTP request details. Custom events can be instrumented to map business steps onto replay timelines, which reduces time spent translating raw user actions into application intent. The system also supports alerting workflows tied to issues that occur in user sessions, which helps teams react without manually scanning replays.
A key tradeoff is that replay fidelity and usefulness depend on how the application is instrumented and which data fields are marked safe to record. LogRocket works best when engineering can iteratively refine event instrumentation and error context, not when teams expect instant root cause from unstructured client logs alone. It fits organizations that already have an issue triage process and need a fast path from a symptom to a reproducible user session.
- +Session replay timeline ties clicks and input to console and network events
- +Custom events map business journeys onto recordings for faster debugging
- +Issue alerting reduces manual replay scanning during incident response
- +Governance controls restrict access to recorded user behavior
- –Replay usefulness declines when event instrumentation is left minimal
- –Sensitive data handling requires deliberate configuration to avoid over-collection
- –Network-heavy apps can generate high event volume that needs filtering
Frontend engineering teams
Triage production UI breakages quickly
Faster issue localization
Product analytics teams
Validate conversion funnel drop-offs
Actionable funnel insights
Show 2 more scenarios
Customer support engineering
Debug tickets with reproducible sessions
Shorter ticket resolution
Recorded sessions provide exact flows that match customer-reported symptoms.
Security and privacy teams
Control what user data is recorded
Lower data exposure risk
Governance settings and recording controls reduce unnecessary exposure of sensitive fields.
Best for: Fits when product and engineering teams need session-level RCA without manual log reconstruction.
More related reading
ActivTrak
SMBWorkforce analytics tracking browser and application activity on employee computers.
User-attributed session reconstruction that links browsing sequences to known identities for reporting.
ActivTrak installs a script that logs browser events and activity context such as URL, referrer, and timestamps so teams can reconstruct what happened during a session. Identity mapping is a core design choice, with tracking tied to known users and organization context rather than anonymous-only sessions. Configuration supports rule-based controls for what gets captured and how events are grouped for reporting.
A key tradeoff is that deeper browser event visibility increases the need for careful governance of what pages and URL patterns are collected. ActivTrak fits teams that need employee or customer-portal behavior analytics across many internal systems, not just single public websites.
- +Session-level browsing timelines with URL and referrer context
- +Identity mapping that supports user-level activity reporting
- +Rule-based capture controls for reducing noise in logs
- +Event exports that fit downstream analytics pipelines
- –Governance is required to control URL and event capture scope
- –Smaller teams may need engineering help for multi-site tracking
IT operations teams
Track portal usage and troubleshooting paths
Faster root-cause for UX issues
Security and compliance analysts
Audit browsing behavior by user
Clearer activity traceability
Show 2 more scenarios
Digital product teams
Measure feature adoption in web journeys
Better funnel understanding
Teams use URL sequence and engagement timing to compare how users enter and exit flows.
Customer support leads
Diagnose repeated navigation failures
Lower repeat case volume
Support staff analyze session patterns where users loop or drop after specific pages.
Best for: Fits when orgs need user-attributed browser activity analytics across apps and internal portals.
Hubstaff
SMBTime tracking with screenshots and browser activity monitoring.
Timesheet-driven work reporting connects browser activity capture to measured work time for accountability workflows.
Hubstaff links monitoring signals to timesheets and work summaries, so browser activity becomes actionable inside time and attendance reporting rather than living as standalone clickstream data. Activity capture options include screenshots and desktop and app tracking, which makes it suitable for teams that need evidence-based review for remote work. Reporting supports team-level views that help managers compare tracked activity patterns across users and schedules.
A key tradeoff is that Hubstaff centers on work monitoring artifacts like screenshots and time summaries, so it is less suited for fine-grained analytics that require tag-like event schemas or custom data pipelines. Hubstaff fits teams that want browser visibility for accountability and scheduling decisions, such as distributed support or QA groups validating work progress.
- +Browser-related activity is tied to timesheets and task time summaries
- +Screenshot and idle signals provide concrete evidence for manager review
- +Admin configuration supports consistent tracking policies across users
- +Team reporting makes it easier to spot patterns in tracked activity
- –Event-level browser analytics for custom funnels are not the focus
- –Screenshot capture can increase review workload for managers
- –Most governance depends on consistent user policy communication
- –Deep extensibility for external data modeling requires extra integration work
Remote support teams
Validate ticket work in browsers
Faster coaching and coverage planning
QA and testing teams
Monitor investigation progress in browsers
Better triage and throughput visibility
Show 1 more scenario
Agencies and freelancers
Track client work sessions
More consistent delivery reporting
Work evidence and time reporting support internal billing narratives and review cycles.
Best for: Fits when teams need evidence-based browser activity oversight tied to timekeeping decisions.
Microsoft Clarity
SMBFree session recording and heatmap analytics for web publishers.
Automated rage-click detection and activity summaries that flag usability problems directly inside replay and analytics views.
Microsoft Clarity records real user sessions with a session replay script and heatmaps that summarize where attention concentrates. The service is tightly integrated with Microsoft ecosystems through Entra sign-in and built-in workspace controls that help teams manage access to recordings and analytics.
Clarity also provides automated insights such as common rage clicks and performance gaps using event telemetry captured from the page runtime. It emphasizes frictionless deployment via a script-based injection rather than tag manager workflows and it avoids a complex tracking data pipeline.
- +Rapid setup with one session replay script and native heatmaps
- +Session replay includes interaction context like clicks and scroll behavior
- +Automated behavior signals like rage clicks reduce manual triage time
- +Clear workspace-level access controls for recording visibility
- –Admin controls center on access management, not granular RBAC permissions
- –API and automation surface are limited compared with enterprise analytics suites
- –Attribution and cross-domain journey modeling are not a primary focus
- –High event volume can create review bottlenecks without curation rules
Best for: Fits when product teams need quick session replay diagnostics and heatmaps without building a tracking pipeline.
Smartlook
SMBSession recording and event analytics for web and mobile.
Session replay that links back to event-based analytics views for targeted funnel and journey investigation.
Smartlook records session replay and sends interaction analytics from browser apps, then ties them back to tracked user journeys inside the Smartlook dashboard. It provides an event-based tracking model that supports custom events, funnels, and impact analysis based on what users did during sessions.
Smartlook also includes consent-aware controls for controlling data collection and replay behavior. The product’s main differentiator in this category is how it combines real user session playback with analytics queries, so debugging a funnel step can start from the replay view.
- +Session replay paired with event-driven analytics for funnel debugging
- +Custom event tracking supports mapping UI actions to measurable outcomes
- +Consent-aware controls can restrict replay and data capture behavior
- +Visualization of user flows supports faster root-cause identification
- –Replay quality depends on instrumentation decisions and selector stability
- –Governance for access control and retention requires deliberate admin setup
- –Cross-domain journeys may need extra configuration for consistent identity
- –Advanced automation requires deeper familiarity with Smartlook configuration surfaces
Best for: Fits when teams need session replay plus event analytics to debug conversion and UX issues.
Inspectlet
SMBSession replay and eye-tracking heatmaps for websites.
Session replay timeline includes interaction reconstruction that links user actions to specific UI moments.
Inspectlet records session replay plus basic web analytics so teams can map user behavior to on-page actions. It sends a JavaScript tracking script that captures clicks, scrolls, and form interactions and then renders them in a replay timeline.
The product also supports heatmaps and funnels to connect replays with broader conversion paths. Admin controls focus on account-level management of tracking snippets and access to recorded sessions.
- +Session replays capture clicks, scrolls, and form interactions
- +Heatmaps and funnels connect individual replays to conversion paths
- +Web recording works from a single injected script tag
- +Search and filters speed up finding relevant sessions
- –Advanced automation depends on manual tagging and replay configuration
- –Governance for multi-team access is less granular than enterprise audit workflows
- –Custom event modeling can feel limited for complex behavioral schemas
- –Client-side capture can miss some blocked or highly restricted scripts
Best for: Fits when product and UX teams need session replays plus heatmaps for iterative funnel fixes.
Contentsquare
enterpriseDigital experience analytics with zone-based heatmaps and journey analysis.
Experience Analytics with Session Replay and visual overlays that preserve user context across funnel steps for faster root-cause work.
Contentsquare turns on-site behavioral analytics into guided UX insights with heatmaps, session replay, and journey-style analysis tied to user intent signals. It is distinct for how it pairs exploration views with structured action workflows that help teams trace impact from key pages to conversion outcomes.
Core capabilities include web session replay scripting, event and goal measurement, segmentation by attributes, and visual overlays for rapid root-cause analysis. Administration centers on governance for who can access recordings, dashboards, and analysis artifacts across business units.
- +Heatmaps and session replay connect visual anomalies to user journeys
- +Strong segmentation for analyzing intent shifts across funnel steps
- +Governance controls support controlled access to recordings and dashboards
- +UX research exports align recorded behaviors with decision workflows
- –Deep configuration requires careful event taxonomy planning
- –Replay fidelity can drop when consent and tag firing are constrained
- –Integrations and API workflows need engineering review for scale
- –Some advanced analyses depend on specific capture settings
Best for: Fits when product and marketing teams need visual behavior analysis plus replay-based QA at scale.
Mouseflow
SMBSession replay, heatmaps, and funnel analytics for websites.
Replay capture governance with role-based access to sessions and configuration settings, tied to admin workflows.
Mouseflow records session replays and quantifies behavior with heatmaps, form analytics, and conversion funnels for web apps. Setup centers on deploying a JavaScript snippet and a small set of configuration options, including replay capture rules and event tracking decisions.
Mouseflow also provides integrations for tag management so tracking scripts can be injected consistently across sites and environments. Admin workflows support user roles and audit-style visibility for replay access and configuration changes.
- +Session replay plus heatmaps and funnels share one capture layer
- +Form analytics highlights friction points by field-level interactions
- +Tag manager support simplifies consistent script injection across pages
- +Replay access controls and change governance reduce internal exposure
- –Replay capture rules can require careful tuning to limit sensitive data
- –Advanced automation depends on integration boundaries rather than native triggers
- –Event coverage for custom flows may take extra instrumentation work
- –Throughput during peak traffic can increase ingest latency for replays
Best for: Fits when product and marketing teams need replay evidence plus funnel and form diagnostics from one tracking implementation.
Lucky Orange
SMBHeatmaps, session recordings, and live visitor chat.
Session Replay with granular capture controls lets teams restrict what gets recorded based on consent and replay filters, not only reporting views.
Lucky Orange records on-site browser behavior through session replay and conversion-focused analytics for marketing and support teams. The tool also generates heatmaps, tracks clicks and scroll depth, and links user activity to referrers and landing pages for investigation workflows.
It manages consent-aware visitor capture so replay and tracking can be limited based on visitor choices. Administrators can configure tracking code deployment patterns and events to match the site’s existing tagging approach and reporting needs.
- +Session replay captures UX details for support and UX debugging
- +Heatmaps and click maps target rapid behavior analysis
- +Consent-aware capture reduces exposure for opted-out visitors
- +Event and goal tracking connects behavior to outcomes
- –Advanced customization relies on manual event instrumentation
- –Cross-domain user continuity is limited without extra setup
- –High traffic sites can produce high replay volume management work
- –Governance controls for multi-user teams are narrower than enterprise suites
Best for: Fits when teams need session replay plus heatmaps to diagnose funnel friction without building custom instrumentation.
Glassbox
enterpriseDigital experience analytics with session replay and customer journey mapping.
Session replay with behavioral correlation for diagnosing drop-offs and errors at the user-journey level.
Glassbox focuses on web and app behavior analytics with session replay and journey-level diagnostics to connect user actions to experience issues. Its main capability is recording and correlating browser events with performance and error signals so teams can reproduce problems from user sessions.
Glassbox also supports integrations and deployment patterns aimed at collecting data from first-party environments, which matters during third-party cookie deprecation. Built-in admin workflows support governance around projects, environments, and access controls used for ongoing tracking operations.
- +Session replay ties user journeys to concrete behavioral events and outcomes
- +Event collection and correlation workflows support faster diagnosis than generic analytics
- +Admin controls support environment separation and role-based access for tracking operations
- +Integration depth covers common web instrumentation and downstream analytics needs
- –Tag and event mapping work can become complex for multi-property implementations
- –Advanced reporting relies on consistent event design to avoid fragmented insights
- –Some governance actions require process discipline across environments and teams
- –Script injection or configuration choices can add friction to strict tracking policies
Best for: Fits when teams need session replay plus event correlation for browser UX debugging across multiple properties.
Conclusion
After evaluating 10 technology digital media, LogRocket stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right web browser tracking software
This buyer's guide covers LogRocket, ActivTrak, Hubstaff, Microsoft Clarity, Smartlook, Inspectlet, Contentsquare, Mouseflow, Lucky Orange, and Glassbox for tracking web browser activity. It focuses on how each tool captures browser behavior, how replay and event analytics connect, and how admin governance controls recording access and capture rules.
Web browser tracking software for session replay, behavioral events, and browser-time oversight
Web browser tracking software records user interactions in the browser as either event streams, session replays, or both, then organizes those signals for debugging, analytics, and operational review workflows. Teams use it to diagnose UX issues from real sessions like clicks and scrolls, to analyze funnel and journey behavior, and to correlate experience signals with errors or operational context. LogRocket shows how session replay can fuse console errors and network events into one investigative timeline, while Microsoft Clarity shows a faster setup path with a single session replay script plus heatmaps and automated usability signals.
Evaluation criteria for browser tracking tools that need replay, events, and governance
Selection depends on whether the tool prioritizes replay-first investigation, event analytics-first funnel diagnostics, or operational use where browser activity must connect to timekeeping or workforce reporting. Governance and capture rules matter because these tools record browser behavior that can include sensitive user inputs and high-volume interaction logs.
Cross-signal investigative timelines
LogRocket ties session replay to console errors, network requests, and custom events in one timeline, which reduces the time spent reconstructing what happened before a failure. Smartlook similarly links replay back to event-based analytics views so a funnel step can be investigated from the replay screen.
User-attributed session reconstruction
ActivTrak links browsing sequences to known identities for user-level reporting, which is critical when activity must be tied to organizational users across internal portals and apps. Hubstaff also provides accountability framing, but it ties browser activity to timesheets and task time summaries rather than user identity analytics for usage reporting.
Automation-aware capture and event governance
Mouseflow focuses on replay capture governance with role-based access to sessions and configuration changes, which helps keep tracking behavior aligned with internal admin workflows. ActivTrak also provides rule-based capture controls to reduce noise, which matters when URL and referrer event volume grows across multi-site deployments.
Automated usability anomaly signals
Microsoft Clarity generates automated rage-click detection and activity summaries from page runtime telemetry, which turns replay review into faster triage for usability problems. Contentsquare uses structured overlays and journey-style analysis to preserve user context across funnel steps, which helps root-cause work without manual annotation.
Heatmaps and funnel or form diagnostics
Inspectlet pairs replay with heatmaps and funnels, and its interaction reconstruction links user actions to specific on-page UI moments. Mouseflow adds form analytics that highlight friction at the field level, while Lucky Orange targets click maps, scroll depth, and conversion-focused behavior tied to landing page and referrer context.
Operational fit for evidence-based review loops
Hubstaff connects browser activity to timesheets, task time summaries, screenshot and idle signals, and managerial review workflows. This is a different workflow than pure product analytics, and it is the clearest fit when browser behavior must influence work accountability decisions.
Decision framework for browser tracking tools by investigative workflow and control depth
A first decision separates replay-centric debugging from event analytics-centric funnel and journey diagnostics. The second decision separates identity-linked workforce or operational oversight from general product and UX analysis. After that, the control depth decides which tool can be safely run across teams, environments, and sites without creating governance drift.
Pick the investigation workflow: replay-first, analytics-first, or operations-first
If failures require correlated debugging across console and network signals, choose LogRocket because its session replay fuses console, network, and custom events into one investigative timeline. If conversion debugging needs replay plus event analytics views for funnel investigation, choose Smartlook. If browser activity must tie to work decisions through timesheets, choose Hubstaff.
Choose an identity model that matches the audience
If reports must map browsing sequences to known identities for user-attributed activity, ActivTrak is built around user-attributed session reconstruction. If identity-level continuity is less central than experience QA across funnel steps, Contentsquare and Glassbox prioritize journey diagnostics with session replay and overlays rather than user-attributed workforce reporting.
Set capture governance based on sensitivity and cross-team rollout needs
For governance that includes role-based access to replays and configuration changes, pick Mouseflow since access and change governance are part of its replay governance workflow. For capture governance that can restrict what gets recorded based on consent and replay filters, pick Lucky Orange because it supports granular capture controls rather than only viewing-level restrictions.
Validate automation signals that reduce manual triage time
If faster triage requires automated behavioral anomaly detection inside the replay and analytics views, use Microsoft Clarity because it provides rage-click detection and activity summaries. If the workflow needs structured overlays that preserve context across key pages and conversion outcomes, pick Contentsquare to match its experience analytics plus session replay overlays.
Test integration and deployment friction against current tagging patterns
If the deployment must match existing script injection and tagging workflows with admin-friendly controls, Mouseflow provides tag manager support for consistent injection across pages. If the priority is frictionless deployment with a script-based injection rather than tag manager workflows, Microsoft Clarity emphasizes one session replay script deployment.
Plan for event quality and instrumentation effort upfront
Tools like Inspectlet and Smartlook can deliver strong replay-to-interaction reconstruction, but replay quality and funnel usefulness depend on instrumentation decisions and selector stability in Smartlook. If minimal instrumentation can be a constraint during incident response, LogRocket still supports custom event correlation, but its replay usefulness declines when teams leave instrumentation minimal.
Which organizations should use browser tracking tools for replay, analytics, or operational oversight
The best-fit tool depends on the organizational decision the browser data must support: product debugging, UX research, conversion diagnostics, workforce analytics, or work accountability. Each tool in this guide aligns to a specific workflow where browser behavior must be recorded and then interpreted with the right governance model.
Product and engineering teams needing session-level root-cause analysis
LogRocket is the clearest fit when teams need session-level RCA without manual log reconstruction, because it correlates session replay with console errors, network requests, and custom events. Smartlook also fits when replay must link back to event-based analytics for targeted funnel and journey investigation.
Organizations running internal portals or workplaces that need user-attributed browsing activity
ActivTrak targets session-level browsing timelines tied to organizational users, since it reconstructs browsing sequences by identity for reporting. This supports internal analytics and usage reporting where user-level attribution is required.
Work management teams that must connect browser activity to timekeeping decisions
Hubstaff is designed for accountability workflows where browser activity ties into timesheets, task time summaries, and evidence signals like screenshots and idle detection. This matches teams that use browser monitoring as part of work management rather than pure product analytics.
Product and marketing teams running UX research and conversion diagnostics with overlays
Contentsquare supports guided experience analysis using heatmaps, session replay, and journey-style overlays tied to intent signals. Mouseflow also fits when replay evidence must be paired with funnels and form analytics from one capture layer.
Support and UX teams that need fast replay and heatmaps without heavy pipeline work
Microsoft Clarity supports quick session replay diagnostics plus heatmaps and automated rage-click signals through Entra-integrated workspace access controls. Inspectlet also fits when teams need replay with heatmaps and funnels using a single injected script tag.
Common pitfalls in web browser tracking deployments and how to correct them with specific tools
Most failures come from capture scope and event modeling choices that make replay or analytics hard to use later, not from browser tracking availability. Governance gaps also cause cross-team exposure or noisy logs, especially when multiple sites or environments need coordinated configuration.
Instrumenting too little, which makes replays hard to interpret
LogRocket and Smartlook depend on meaningful interaction instrumentation, because LogRocket correlates replay usefulness with how much event instrumentation teams add. Smartlook can also degrade debugging outcomes when replay quality depends on selector stability and instrumentation choices, so capture custom events early.
Over-collecting sensitive browser inputs and needing manual redaction later
LogRocket highlights that sensitive data handling requires deliberate configuration to avoid over-collection. Lucky Orange provides granular capture controls to restrict what gets recorded based on consent and replay filters, which reduces the chance of capturing sensitive inputs.
Assuming governance is fully granular when it is mostly access management
Microsoft Clarity provides workspace-level access controls but it does not deliver granular RBAC permissions or an enterprise-grade automation surface compared with analytics suites. Mouseflow provides replay access controls and change governance with role-based workflows, which matches multi-user rollout needs.
Expecting funnel analytics from replay without planning event taxonomy
Contentsquare and Inspectlet can connect replay to conversion paths, but Contentsquare requires deep configuration for event taxonomy planning so segmentation stays meaningful. Inspectlet also needs manual tagging and replay configuration for advanced automation workflows, so event design and tagging effort must be scheduled.
Scaling replay volume without curation rules
Microsoft Clarity notes that high event volume can create review bottlenecks without curation rules, and Mouseflow also flags ingest latency risk during peak traffic. Replay-heavy teams should tune replay capture rules and apply filtering to keep investigation throughput usable.
How We Selected and Ranked These Tools
We evaluated LogRocket, ActivTrak, Hubstaff, Microsoft Clarity, Smartlook, Inspectlet, Contentsquare, Mouseflow, Lucky Orange, and Glassbox using features, ease of use, and value, with features carrying the most weight at forty percent. Ease of use and value each accounted for thirty percent of the overall score, so tools that reduce triage effort earned credit even when advanced workflows required configuration.
This ranking reflects editorial research and criteria-based scoring from the provided tool capabilities, not hands-on lab testing. LogRocket set the pace because its session replay fused with console and network context plus custom events created a single investigative timeline for debugging, and that directly raised the features score and improved the practical ease of incident diagnosis.
Frequently Asked Questions About web browser tracking software
How do web browser tracking tools represent user behavior beyond page views?
Which tools provide session replay and also correlate it with console errors or network activity?
Which tools tie replay or sessions back to event-based analytics views like funnels or journeys?
How does authentication and access control differ between Microsoft Clarity and other replay tools?
When is a browser tracking workflow better suited to work management than to purely analytics use cases?
What breaks if tracking governance requirements restrict who can view recordings and change capture rules?
How do deployment and script injection approaches differ across session replay tools?
Which tools support consent-aware replay capture rather than treating consent as a reporting-only toggle?
How do integrations and automation workflows show up in practice for browser tracking?
Where does each tool fall short when a team needs cross-property debugging across web and app environments?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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