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Dead Clicks Autocapture

PostHog

Analytics
monitor Exposure
v1d0b2faf
A script that automatically identifies and captures 'dead clicks' and 'rage clicks' on a website for user behavior analytics.
10M+ sites
Updated 10/10/2026
https://us-assets.i.posthog.com/static/1.438.7/dead-clicks-autocapture.js
Exposure Score
92

Popularity

92%

Usage across websites

File Size

23.34 KB

Download size

Load Time

128.30ms

Network latency

Execution Time

2.18ms

Runtime performance

Version Telemetry

Version Timeline

Visual representation of each version's active period

Metrics Over Time

Security score, performance score, and file size trends

0255075100v1d0bNormalized ScoreVersion
Security Score
Performance Score
File Size (KB)

Uptime History

Average response time over time

Version History Details

Detailed information for each version

v1d0b2fafLatest
Span: 1 day
Score: 85
Size: 23.34 KB

Exposure & Risks

Security Score

Overall Security85 / 100
Exposure Levelmonitor

Risk Assessment

Critical Risks0
Total Observations0

Exposure Status

Monitor
Moderate behavioral concerns, review and mitigation advised.

Behavioral Concerns

No Known Security Risks

Our telemetry scan did not detect any immediate behavioral security risks for this resource.

Security Observations

Security-related findings from analysis

No security observations recorded for this version

Privacy & Data Flow

Data Collection

Cookies and local storage used by this script

Cookies

ph_session_idSession
Records the user's current session for analytics.
ph_permanent_id1 year
Identifies a unique user across sessions for analytics.

Local Storage

ph_opt_out
Stores user's opt-out preference for PostHog tracking.
ph_debug
Stores debug information for PostHog.
ph_distinct_id
Stores a distinct ID for the user.

Third-party Connections

External domains this script connects to

No external connections detected

Permissions Required

Browser permissions and capabilities used

user profile

Privacy Observations

Privacy-related findings from analysis

No privacy observations recorded for this version

Technical & Performance Analytics

Load Performance

File Size23.34 KB
Load Time128.30ms

Runtime Performance

Execution Time2.18ms
Network Requests0

Impact Assessment

Good
Minimal performance impact on page load

Performance Observations

Performance-related findings from analysis

No performance observations recorded for this version

Global Variables

Variables added to the global scope

No global variables detected

Event Listeners

Events this script listens for

No event listeners detected

Browser API Access

APIs and browser features accessed by this script

navigator.userAgent

Technical Details

Compressed
Yes
CDN Delivery
No
Total Views
3
Is Mirror
No
Network Requests
0
Resource Hash
1d0b2faf5145fc6c24e30287e186741dee00d1fedc75c1d063e3cd874b5b0b03

AI Insights & Alternatives

Description

A comprehensive overview of this resource

This PostHog script is specifically designed to enhance user experience analytics by automatically detecting and recording instances of 'dead clicks' and 'rage clicks.' Dead clicks refer to user interactions where an element appears clickable but yields no response or navigation, potentially causing confusion or frustration. Rage clicks, on the other hand, involve a user repeatedly clicking the same area, often indicative of a non-responsive or broken interface element. The script works by observing user click events on the webpage. It intelligently analyzes the context and sequence of these clicks to identify patterns characteristic of dead or rage clicks. Once detected, this interaction data is collected and transmitted to the PostHog platform. Website administrators can then leverage this data to gain insights into user frustration points, pinpoint UI/UX flaws, and identify areas requiring design or functionality improvements. This automated process helps in proactively addressing user experience issues without requiring manual tagging or complex setup.

Key Features

Core functionalities and capabilities of this resource

  • Dead click detection
  • Rage click detection
  • Automated event capture
  • User frustration insights
  • UI/UX improvement
  • Behavioral analytics

Alternatives

Similar libraries you might consider

Documentation & Resources

Official Documentation