analytics-insights

Analyze X/Twitter engagement, hashtags, competitors, best posting times, follower demographics, tweet performance, viral detection, content calendar gaps, A/B testing, and engagement leaderboards. Browser console scripts for data-driven X optimization. Use when users want insights about their X performance.

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Install skill "analytics-insights" with this command: npx skills add nirholas/xactions/nirholas-xactions-analytics-insights

Analytics & Insights

Browser console scripts for analyzing X/Twitter performance — no API key needed. All analysis runs in DevTools console.

Script Selection

GoalFileNavigate to
Engagement metricssrc/engagementAnalytics.jsx.com/USERNAME
Best posting timessrc/bestTimeToPost.jsx.com/USERNAME
Hashtag analysissrc/hashtagAnalytics.jsx.com/search?q=%23tag
Competitor comparisonsrc/competitorAnalysis.jsAny page
Follower audit (fake/bot)src/auditFollowers.jsx.com/USERNAME/followers
Sentiment analysissrc/sentimentAnalyzer.jsAny timeline
Tweet performance rankingsrc/tweetPerformance.jsx.com/USERNAME
Viral tweet detectionsrc/viralTweetDetector.jsx.com/USERNAME
Posting schedule optimizersrc/tweetScheduleOptimizer.jsx.com/USERNAME
Follower demographicssrc/audienceDemographics.jsx.com/USERNAME/followers
Follower growth trackingsrc/followerGrowthTracker.jsx.com/USERNAME/followers
Content calendar analysissrc/contentCalendar.jsx.com/USERNAME
Engagement leaderboardsrc/engagementLeaderboard.jsx.com/USERNAME
Tweet A/B testingsrc/tweetABTester.jsx.com/USERNAME
Follow ratio managementsrc/followRatioManager.jsx.com/USERNAME
Audience overlap analysissrc/audienceOverlap.jsx.com/ACCOUNT/followers
Account health scoringsrc/accountHealthMonitor.jsx.com/USERNAME
Shadowban detectionsrc/shadowbanChecker.jsx.com/USERNAME

Quick Start

  1. Navigate to the required page on x.com
  2. Open DevTools (F12) → Console
  3. Paste the script → Enter
  4. Results display in console + auto-export as JSON

Script Details

engagementAnalytics.js

Scrapes your timeline and calculates per-tweet engagement rates (likes + RTs + replies / views). Shows average, median, best/worst performers, and engagement trend over time.

sentimentAnalyzer.js

Lexicon-based sentiment analysis on any timeline. Classifies tweets as positive/negative/neutral. Shows sentiment distribution chart, most positive/negative tweets, and keyword frequency.

tweetPerformance.js

Side-by-side tweet comparison with multi-metric ranking. Sorts by likes, RTs, replies, views, or composite engagement rate. Identifies content patterns that drive performance.

viralTweetDetector.js

Multi-factor viral scoring: engagement velocity, like-to-RT ratio, reply depth, view multiplier. Flags tweets significantly exceeding your baseline. Useful for identifying what resonates.

tweetScheduleOptimizer.js

Analyzes your posting history to build a personalized optimal schedule. Generates heatmaps of engagement by day/hour. Recommends best slots based on YOUR audience's behavior.

audienceDemographics.js

Scrapes follower profiles and classifies by niche (tech, marketing, crypto, etc.), account size, bot likelihood, and verified status. Visual distribution charts.

engagementLeaderboard.js

Ranks users who engage most with your content. Identifies superfans (5+ interactions), regulars, and casual engagers. Exports VIP list for relationship building.

Controls: Auto-run on paste. XActions.pause() / XActions.abort() available.

tweetABTester.js

Create controlled tests between two tweet variations. Post both, track metrics over time, get statistical winner determination with percentage difference.

Controls: XActions.createTest(), XActions.measure(), XActions.results()

followRatioManager.js

Monitors follower/following ratio with letter grades (S→F). Generates 3 improvement paths (unfollow more, gain followers, combination). Tracks ratio history over time.

Controls: XActions.track(), XActions.plan(), XActions.history()

audienceOverlap.js

Compare follower lists between two accounts to find shared followers, unique audiences, and Jaccard similarity. Useful for collaboration decisions and competitor analysis.

Controls: XActions.analyze('accountA', 'accountB')

Strategy Guide

Weekly analytics routine

  1. Run src/tweetPerformance.js — identify this week's top content
  2. Run src/tweetScheduleOptimizer.js — verify you're posting at optimal times
  3. Run src/followRatioManager.jsXActions.track() — log weekly ratio
  4. Run src/engagementLeaderboard.js — identify top engagers to nurture

Diagnosing a growth stall

  1. src/accountHealthMonitor.js — check overall account health score
  2. src/shadowbanChecker.js — rule out shadowban
  3. src/audienceDemographics.js — verify you're attracting the right audience
  4. src/viralTweetDetector.js — check if you've had any breakout content recently
  5. src/competitorAnalysis.js — compare your metrics to peers

Preparing for a content pivot

  1. src/sentimentAnalyzer.js — understand current audience sentiment
  2. src/tweetPerformance.js — identify what content types work
  3. src/audienceOverlap.js — compare your audience with target niche leaders
  4. src/contentCalendar.js — find posting gaps to fill

Notes

  • All scripts auto-export results as downloadable JSON
  • Accuracy improves with more data — increase maxPosts in CONFIG for deeper analysis
  • Engagement rates: (likes + retweets + replies) / views
  • Scripts only analyze visible browser data — increase scroll rounds for more data
  • localStorage used for historical tracking (growth, A/B tests, ratio history)

Source Transparency

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