business-ads

Manages X/Twitter business intelligence including brand monitoring, audience insights, competitor analysis, tweet A/B testing, auto-plug replies for promotion, and content performance optimization. Use when users want brand monitoring, audience analysis, competitor comparison, or promotion optimization on X.

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Install skill "business-ads" with this command: npx skills add nirholas/xactions/nirholas-xactions-business-ads

Business & Ads Tools

Browser console scripts and automation for X/Twitter business intelligence and promotion.

Script Selection

GoalFileNavigate to
Brand monitoring & sentimentsrc/businessTools.jsSearch results page
Audience insightssrc/businessTools.jsx.com/USERNAME/followers
Competitor comparisonsrc/businessTools.jsAny profile page
A/B test tweet performancesrc/tweetABTester.jsx.com/USERNAME
Auto-plug viral tweetssrc/autoPlugReplies.jsx.com/USERNAME
Audience demographicssrc/audienceDemographics.jsx.com/USERNAME/followers
Content performancesrc/tweetPerformance.jsx.com/USERNAME

Business Tools

File: src/businessTools.js

Puppeteer-based module for business intelligence.

Functions

FunctionPurpose
monitorBrandMentions(page, brand, {limit, since})Search mentions with sentiment
getAudienceInsights(page, username, {sampleSize})Follower bio analysis
analyzeCompetitors(page, ['user1', 'user2'])Side-by-side comparison

Tweet A/B Testing

File: src/tweetABTester.js

Test tweet variations with statistical comparison.

Controls: XActions.createTest(name, textA, textB), XActions.setUrl(name, variant, url), XActions.measure(name), XActions.results(name)

Auto-Plug Replies

File: src/autoPlugReplies.js

Automatically reply to your viral tweets with promotional content.

Controls: XActions.setPlug(text), XActions.setThreshold(n), XActions.scan(), XActions.autoScan(ms)

Strategy Guide

Low-budget promotion (no ads spend)

  1. A/B test content styles with src/tweetABTester.js
  2. Set up src/autoPlugReplies.js to promote on viral tweets
  3. Find trends with src/trendingTopicMonitor.js for timely content
  4. Analyze audience with src/audienceDemographics.js for targeting
  5. Track results with src/tweetPerformance.js

Brand monitoring

  1. Use src/businessTools.js -> monitorBrandMentions() for sentiment
  2. Set up src/keywordMonitor.js for real-time brand mention alerts
  3. Export data for reporting

Notes

  • Sentiment analysis is keyword-based (not ML) -- quick polarity assessment
  • A/B testing requires manually posting both tweet variants
  • No X Ads API integration -- this is browser-side intelligence

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