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Tutorial: Engagement Analytics, Best Time to Post & Competitor Intelligence

You are my X/Twitter analytics expert. I want to use XActions to measure my performance, find the best times to post, analyze competitors, and make data-driven decisions about my content strategy.

Context

I'm using XActions (https://github.com/nirholas/XActions), an open-source X/Twitter toolkit with analytics capabilities. It can pull engagement data, post analytics, account metrics, creator dashboard stats, and competitive intelligence — without the paid Twitter API.

What I Need You To Do

Part 1: Account Performance Dashboard

Build me a complete analytics overview:

  1. Profile snapshot using x_get_profile:

    • Current followers, following, tweet count
    • Recent growth trend
    • Follower-to-following ratio assessment

  2. Engagement analytics using x_get_analytics:

    "Get my account analytics for the last 28 days"
    • Impressions trend
    • Profile visits
    • Mentions
    • New followers gained
    • Engagement rate (interactions / impressions)

  3. Post performance using x_get_tweets on my own profile:

    • Pull my last 50 tweets
    • Rank by engagement (likes + retweets + replies)
    • Find my top 5 best-performing tweets
    • Find my worst-performing tweets
    • Calculate average engagement per tweet
    • Calculate engagement rate (avg engagements / followers * 100)

  4. Content type analysis:

    • Which performs better: text-only, images, threads, polls, links?
    • Average likes for each format
    • Which topics get the most engagement?

Present this as a clean dashboard overview.

Part 2: Best Time to Post

Help me find optimal posting times:

  1. Analyze my posting history:

    • Pull my recent tweets with timestamps
    • Map engagement by hour of day and day of week
    • Create a heatmap: "Monday 9 AM: avg 45 likes, Tuesday 12 PM: avg 82 likes"

  2. Using bestTimeToPost.js browser script:

    • Navigate to my profile
    • The script analyzes tweet timestamps vs engagement rates
    • Identifies the top 5 time slots for my audience
    • Accounts for timezone differences

  3. Recommendations:

    • Top 3 posting times for maximum reach
    • Top 3 posting times for maximum engagement
    • Times to avoid (low activity periods)
    • How my optimal times compare to general best practices

  4. A/B testing plan:

    • Schedule the same type of content at different times
    • Track for 2 weeks
    • Compare results and refine timing

Part 3: Post-Level Deep Dive

Analyze individual post performance using x_get_post_analytics:

  1. For a specific tweet:

    "Analyze this tweet: [URL]"
    • Impressions (total views)
    • Engagements (clicks, likes, replies, retweets)
    • Engagement rate
    • Profile clicks generated
    • Link clicks (if applicable)

  2. Compare top vs bottom tweets:

    • What made my best tweet work? (topic, format, time, hook)
    • What made my worst tweets flop?
    • Patterns I should repeat vs avoid

  3. Thread analytics:

    • First tweet impressions vs last tweet impressions (drop-off rate)
    • Which tweet in the thread got the most engagement?
    • Optimal thread length based on my data

Part 4: Competitor Analysis

Deep competitive intelligence using x_competitor_analysis:

  1. Compare accounts:

    "Compare these accounts: @competitor1, @competitor2, @competitor3, and my account @myusername"

  2. Metrics to compare:

    • Follower count and growth rate
    • Posting frequency
    • Average engagement per post
    • Content mix (tweets, threads, images, polls)
    • Top-performing content themes
    • Follower-to-following ratio

  3. Content strategy analysis per competitor: Using x_get_tweets for each competitor:

    • What topics do they post about most?
    • What format gets them the most engagement?
    • How often do they post?
    • Do they use threads? How long?
    • Do they engage in replies?

  4. Steal their audience:

    • Use x_get_followers on competitors to find potential followers
    • Cross-reference with your follower list for overlap
    • Identify high-value accounts following competitors but not you
    • Create content that addresses gaps competitors don't cover

Part 5: Hashtag Analytics

Research hashtag performance:

  1. Analyze specific hashtags:

    "Search for tweets with #buildinpublic from the last week and analyze engagement"

  2. Compare hashtag performance:

    • Average engagement on tweets with vs without hashtags
    • Which hashtags bring more impressions?
    • Optimal number of hashtags (usually 1-3 on X)

  3. Trending hashtags using x_get_trends:

    "What's trending right now in technology?"
    • Identify trending topics to newsjack
    • Find hashtags you can add value to

Part 6: Brand Monitoring

Track what people say about you/your brand using x_brand_monitor:

  1. Monitor mentions:

    "Monitor mentions of 'XActions' and analyze sentiment"

  2. Sentiment analysis:

    • Positive, negative, neutral breakdown
    • Common praise points
    • Common complaints
    • Influencer mentions (high-impact positive or negative)

  3. Notification analysis using x_get_notifications:

    "Get my last 100 notifications and categorize them"
    • What type of engagement am I getting most? (likes, follows, replies, retweets)
    • Who engages with me most frequently?
    • Which tweets are still generating engagement days later?

Part 7: Creator Analytics (Premium)

For Premium users, use x_creator_analytics:

  1. Creator dashboard: 
    "Get my creator analytics for the last 28 days"
    • Revenue (if monetized)
    • Subscriber count
    • Top-performing premium content
    • Growth metrics

Part 8: Browser Console Analytics Scripts

For advanced analysis, walk me through the DevTools scripts:

Engagement Analytics (src/engagementAnalytics.js)

  • Paste in console on your profile
  • Calculates engagement rate per tweet
  • Identifies your most engaging content patterns
  • Generates a report with recommendations

Best Time to Post (src/bestTimeToPost.js)

  • Analyzes your tweets' timestamps vs engagement
  • Builds a time-slot performance map
  • Recommends optimal posting schedule

Competitor Analysis (src/competitorAnalysis.js)

  • Compare up to 5 accounts side by side
  • Engagement benchmarking
  • Content strategy comparison

Hashtag Analytics (src/hashtagAnalytics.js)

  • Track hashtag performance over time
  • Find trending hashtags in your niche
  • Recommend hashtags based on your content

Part 9: Building a Metrics Dashboard

Help me set up ongoing tracking:

  1. Weekly metrics to track:

    • Followers gained/lost
    • Total impressions
    • Engagement rate
    • Top tweet of the week
    • New meaningful connections

  2. Monthly reporting:

    • Growth trend chart
    • Content performance by type
    • Competitor comparison update
    • Goals progress (followers, engagement rate, etc.)

  3. Export & visualize:

    • Use CLI: xactions tweets myusername --limit 100 --format csv
    • Import to Google Sheets
    • Create charts showing growth over time
    • Track key metrics week over week

Part 10: Data-Driven Content Strategy

Based on all analytics, help me create an optimized strategy:

  1. Content pillars — Based on what performs best, define 3-5 content themes
  2. Format optimization — Double down on the format that works (threads? polls? images?)
  3. Timing optimization — Post at proven best times
  4. Audience optimization — Focus on the audience segment that engages most
  5. Engagement strategy — When and how to reply, quote tweet, engage with others

My Analytics Goals

(Replace before pasting)

  • My username: YOUR_USERNAME
  • Competitors to track: @comp1, @comp2, @comp3
  • My brand/product: BRAND_NAME
  • Current engagement rate: RATE (or "I don't know, help me calculate")
  • Analytics period: last 28 days / last 90 days

Start with Part 1 — build me a complete analytics dashboard for my account.