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Twitter/X Profile Analyzer

Twitter/X profile analysis: engagement, influence mapping, audience quality, and which tweets actually move markets.

Twitter is where executives think out loud and markets move on hot takes. This actor gives you the complete signal: engagement patterns, audience composition, influence score, tweet performance patterns, and whether someone's a thought leader or just a big mouth. Essential for identifying market movers before the masses catch up.

⚡ What You Get

🐦 TWITTER/X PROFILE INTELLIGENCE
├── @sarah_vc (127.4K followers)
│ ├── Account Basics
│ │ ├── Followers: 127,431
│ │ ├── Following: 892
│ │ ├── Total Tweets: 8,742
│ │ ├── Joined: March 2015(11 years old — established account)
│ │ └── Verification Status: Verified (Blue check ✓)
│ ├── Engagement Profile
│ │ ├── Avg Likes Per Tweet: 1,247
│ │ ├── Avg Replies Per Tweet: 89
│ │ ├── Avg Retweets Per Tweet: 342
│ │ ├── Engagement Rate: 1.34% (Exceptional for 127K followers)
│ │ │ └── 👈 Top 2% of Twitter accounts (typical: 0.2-0.4%)
│ │ └── Comment Sentiment: 87% positive |8% neutral |5% negative
│ ├── Influence Scoring
│ │ ├── Influence Score: 87/100 (High tier)
│ │ ├── Authority in: Venture Capital, Startups, SaaS
│ │ ├── Reach Score: 76(How far tweets propagate)
│ │ ├── Trust Score: 89(Followers believe this person)
│ │ └── Network Position: Well-connected (in top5% by centrality)
│ ├── Tweet Performance Analysis
│ │ ├── Best Performing Tweet Type: Market takes (1.8% engagement)
│ │ ├── Second Best: Investment thesis threads (1.6% engagement)
│ │ ├── Third: Industry updates (0.9% engagement)
│ │ └── Worst: Memes/jokes (0.3% engagement — not their lane)
│ ├── Audience Composition
│ │ ├── Primary Audience: VCs/Investors (34%)
│ │ ├── Secondary: Founders/Startup CEOs (28%)
│ │ ├── Tertiary: Tech journalists (18%)
│ │ ├── Other professionals (20%)
│ │ └── 📊 Geographic: US (67%)| Europe (19%)| Asia (14%)
│ ├── Content Velocity
│ │ ├── Tweets Per Day: 2.1
│ │ ├── Posting Consistency: 94/100 (Very reliable)
│ │ ├── Prime Tweeting Hours: 9am, 2pm, 6pm EST
│ │ └── Follower Growth: +8.2K per month (accelerating)
│ └── Estimated Influence Metrics
│ ├── Monthly Content Value: $15K - $22K(if sponsored)
│ ├── Market Move Influence: Medium-High
│ └── Network Effect: Strong (tweets mentioned in847 articles last quarter)

🎯 Use Cases

• PR/Communications Teams: Monitor what key influencers are saying about your company. Respond to takes before they become trends.
• Venture Capital: Track founder sentiment and market signals. See which founders are raising, which are struggling.
• Investor Relations: Understand how key stakeholders perceive your company. Identify critics early.
• Market Researchers: Track opinion leaders. See which takes are gaining traction before they hit mainstream media.
• Competitive Intelligence: Monitor competitor executives. See what they're announcing, what they're worried about.

📊 Sample Output

{
"username":"sarah_vc",
"user_id":"12345678",
"display_name":"Sarah Chen",
"bio":"VC at Sequoia. Investing in future. All opinions are my own.",
"profile_image_url":"https://pbs.twimg.com/...",
"followers_count":127431,
"following_count":892,
"tweets_count":8742,
"is_verified":true,
"account_age_years":11,
"account_url":"https://twitter.com/sarah_vc",
"engagement_metrics":{
"average_likes":1247,
"average_replies":89,
"average_retweets":342,
"average_impressions":94234,
"engagement_rate_percent":1.34,
"engagement_percentile":98,
"comment_sentiment":{
"positive_percent":87,
"neutral_percent":8,
"negative_percent":5
}
},
"influence_metrics":{
"influence_score":87,
"reach_score":76,
"authority_score":89,
"trust_score":89,
"network_centrality_percentile":94,
"authority_domains":[
"venture capital",
"startups",
"saas",
"fintech"
]
},
"tweet_performance_analysis":{
"best_performing_type":"Market takes",
"best_performing_engagement_rate":1.8,
"second_best_type":"Investment thesis threads",
"second_best_engagement_rate":1.6,
"worst_performing_type":"Memes/jokes",
"worst_performing_engagement_rate":0.3,
"optimal_tweet_length":"140-200 characters",
"optimal_posting_times":["09:00 EST","14:00 EST","18:00 EST"]
},
"audience_composition":{
"venture_capitalists_percent":34,
"founders_ceos_percent":28,
"tech_journalists_percent":18,
"other_professionals_percent":20,
"geography":{
"US":67,
"Europe":19,
"Asia":14
},
"audience_quality_score":91
},
"content_velocity":{
"tweets_per_day":2.1,
"consistency_score":94,
"days_since_last_tweet":0,
"posting_pattern":"Predictable (high consistency)"
},
"growth_analytics":{
"follower_growth_monthly":8234,
"follower_growth_percent_monthly":6.9,
"follower_growth_6month":42897,
"growth_trend":"accelerating"
},
"recent_high_impact_tweets":[
{
"tweet_id":"1234567890",
"text":"The AI infrastructure race is over. It's Nvidia vs the world. Everyone else is playing for second place.",
"created_at":"2026-02-24T14:22:00Z",
"likes":4821,
"replies":287,
"retweets":1034,
"impressions":287234,
"engagement_rate":1.89
},
{
"tweet_id":"1234567891",
"text":"Just led $8M Series A into [Startup]. They're solving the supply chain visibility problem everyone else ignored. Thread 🧵",
"created_at":"2026-02-22T09:15:00Z",
"likes":3421,
"replies":156,
"retweets":892,
"impressions":203421,
"engagement_rate":1.58
}
],
"estimated_sponsorship_value":{
"per_tweet_usd_low":3500,
"per_tweet_usd_high":8200,
"per_month_usd_low":15000,
"per_month_usd_high":22000
},
"last_updated":"2026-02-26T17:33:00Z"
}

Key Fields Explained:

• engagement_percentile: 98 means this person's tweets outperform 98% of Twitter accounts. Elite tier.
• network_centrality_percentile: Are they central to information flow? 94 means they're a major hub. When they tweet, people listen.
• influence_score vs trust_score: High influence + high trust = people actually believe what they say and act on it.
• engagement_rate_percent: 1.34% is EXCEPTIONAL. Most accounts are 0.1-0.3%. This person's tweets reach people.
• audience_quality_score: 91/100 means followers are real decision-makers, not bots. High-value audience.

🔗 Integrations & Automation

Real-Time Tweet Alerts: Set up webhooks for tweets from key accounts. Get notified the moment they post (before markets react).

Email Digest: Daily summary of top influencer activity in your space. See which takes are gaining traction.

Spreadsheet Tracking: Monitor competitor executives. Track their follower growth, engagement trends, sentiment shifts.

MCP Integration: Query influencer metrics directly from your research workflow.

Integrations →

🔗 Works Great With

• Competitive Intelligence — Track competitor executives across all platforms. Holistic intelligence.
• Market Research Automator — Combine Twitter sentiment with market data for complete picture.
• LinkedIn Stealth Scraper — Cross-reference Twitter influencers with LinkedIn profiles. Understand their full network.
• LinkedIn Company Intelligence — See what companies are hiring. Combine with Twitter sentiment for hiring signals.

💰 Cost & Performance

Typical run: 100 influencer profiles analyzed in ~2 minutes for $1.80. That's $0.018 per profile — basically free.

Manual Twitter analysis? 5 minutes per person × 100 = 8+ hours of work. At $100/hour (market rate for analysts), that's $800 saved.

Includes: Rate limiting respect, clean data extraction, real-time updates.

🛡️ Built Right

• Real-Time Data: Pulls directly from Twitter's public APIs. No cached stale data.
• Engagement Accuracy: Counts actual likes, retweets, replies. Verified metrics.
• Sentiment Analysis: Comment analysis to gauge audience reception.
• Trend Detection: Identifies which tweet types perform best for each influencer.
• Privacy Compliant: Public tweets only. No DMs, no private accounts.

Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.