Skip to main content

How to Analyze Twitter User Profiles

Learn how to use XPOZ MCP to analyze Twitter user profiles, from basic lookups to comprehensive influencer research.

Xpoz avatar
Written by Xpoz
Updated over a month ago

What You'll Learn

By the end of this guide, you'll know how to:
- Retrieve detailed user profile information
- Analyze posting patterns and engagement
- Compare multiple users side-by-side
- Identify influencers and thought leaders

Estimated time: 5 minutes


Sample Query

Here's a complete example query you can try:

Analyze @elonmusk's Twitter profile. Show me their follower count,  verification status, bio, location, and when they joined Twitter.  Then get their 20 most recent tweets with full engagement metrics  (retweets, replies, likes, impressions).


Key Capabilities

πŸ“± Profile Data

Retrieve comprehensive profile information:
- Username and display name
- Bio/description
- Verification status
- Follower and following counts
- Total tweet count
- Account creation date
- Location and website
- Profile and banner images

πŸ“ˆ Account Metrics

Analyze account performance:
- Historical posting patterns
- Engagement trends
- Growth indicators
- Activity levels
- Content strategy insights

πŸ” Batch Lookup

Analyze multiple users simultaneously:
- Side-by-side comparisons
- Competitive analysis
- Influencer rankings
- Network mapping

⚑ Real-time Data

Get the latest information:
- Force fresh data retrieval
- Track rapid changes
- Monitor live events
- Capture breaking news


Example Output

Here's what you can expect when analyzing a user profile:

βœ… User Profile Retrieved  Username: @elonmusk Display Name: Elon Musk Verified: βœ“ Blue Check User ID: 44196397  πŸ“Š Account Statistics: β€’ Followers: 180.5M β€’ Following: 523 β€’ Total Tweets: 45,234 β€’ Joined: June 2009  πŸ“ Location: Texas, USA πŸ”— Website: https://tesla.com  πŸ“ Bio: "Tesla, SpaceX, Neuralink, The Boring Company"  ---  πŸ“± Recent Tweets Analysis:  Tweet #1 (2 hours ago): "Starship launch successful! πŸš€" β€’ Retweets: 45.2K β€’ Replies: 8.3K   β€’ Likes: 432.1K β€’ Impressions: 12.5M  Tweet #2 (5 hours ago): "Working on something exciting at Tesla..." β€’ Retweets: 23.4K β€’ Replies: 4.2K β€’ Likes: 234.5K β€’ Impressions: 8.2M  [... 18 more tweets with full metrics ...]  πŸ“ˆ Engagement Summary: β€’ Avg Retweets: 28.5K β€’ Avg Replies: 5.8K β€’ Avg Likes: 298.3K β€’ Total Reach: 156M impressions

Common Use Cases

πŸ”Ž Influencer Research

Goal: Identify potential brand partners

How to use XPOZ:
1. Search for high-engagement tweets in your niche
2. Analyze the authors' profiles
3. Compare follower counts and engagement rates
4. Review content quality and brand alignment
5. Track posting frequency and consistency

What you get:
- Comprehensive influencer profiles
- Engagement rate calculations
- Audience size and quality indicators
- Content strategy insights
- Partnership readiness assessment

Business value:
- 60% reduction in influencer vetting time
- Better campaign ROI through data-driven selection
- Reduced risk of influencer mismatch


🏒 Competitive Intelligence

Goal: Monitor competitor accounts and strategy

How to use XPOZ:
1. Track competitor account metrics over time
2. Analyze their posting frequency and timing
3. Study their content themes and formats
4. Monitor audience growth and engagement
5. Identify their successful strategies

What you get:
- Side-by-side account comparisons
- Posting pattern analysis
- Engagement benchmarks
- Growth trend tracking
- Strategic insights

Business value:
- Stay ahead of competitor moves
- Learn from their successes and failures
- Identify market opportunities


πŸ“° Journalist Verification

Goal: Verify accounts and assess credibility

How to use XPOZ:
1. Check verification status
2. Review account history and age
3. Analyze posting patterns for consistency
4. Examine follower-to-following ratio
5. Assess engagement authenticity

What you get:
- Verification confirmation
- Account age and history
- Credibility indicators
- Posting pattern analysis
- Engagement authenticity signals

Business value:
- Faster fact-checking
- Reduced misinformation risk
- More reliable sourcing


πŸŽ“ Academic Research

Goal: Study online behavior and social networks

How to use XPOZ:
1. Collect user metadata at scale
2. Analyze communication patterns
3. Map social networks and connections
4. Study influence and information flow
5. Export data for statistical analysis

What you get:
- Structured user datasets
- Network relationship data
- Temporal behavior patterns
- Quantitative metrics
- Research-ready exports

Business value:
- Comprehensive data collection
- Reproducible research methods
- Large-scale analysis capability


Available Functions

Here are the key functions for user profile analysis:

Get User by Username

getTwitterUserByUsername({ username: "elonmusk" })

Retrieve profile using @username

Get User by ID

getTwitterUserById({ userId: "44196397" })

Retrieve profile using numeric user ID

Search Users

searchTwitterUsers({ name: "Elon Musk", limit: 10 })

Find users by name or keywords

Get User's Posts

getTwitterPostsByAuthorUsername({     authorUsername: "elonmusk",     startDate: "2024-01-01",     endDate: "2024-12-31",     fields: ["id", "text", "retweetCount", "replyCount", "likeCount"] })

Retrieve tweets from specific user with date filters


Analysis Possibilities

Users Analyzed: Unlimited
​Data Points per User: 50+
​Update Frequency: Real-time (with forceLatest option)
​Batch Processing: Yes (analyze multiple users simultaneously)


Best Practices

For Influencer Research

  1. Start with topic search to find relevant content

  2. Analyze top-performing tweet authors

  3. Review their full profiles and history

  4. Compare multiple candidates side-by-side

  5. Track changes over time before committing

For Competitive Analysis

  1. Set up regular monitoring schedules

  2. Track key metrics consistently

  3. Look for pattern changes, not just snapshots

  4. Combine with content analysis for full picture

  5. Document insights for team reference

For Verification

  1. Cross-reference multiple data points

  2. Check account age and history

  3. Analyze follower growth patterns

  4. Review engagement authenticity

  5. Verify through multiple sources


Try It Now

Ready to analyze your first profile? Try one of these:

Simple Profile Lookup:

Get @OpenAI's profile information

Profile with Recent Activity:

Show me @TechCrunch's profile and their last 20 tweets

Comparative Analysis:

Compare the profiles of @Microsoft, @Google, and @Apple


Next Steps

Learn More:
- 20 Sample Prompts - More example queries
- Content Analysis Guide - Analyze tweets and trends

Get Advanced:
- Business Use Cases - Real-world scenarios
​


πŸ’‘ Pro Tip: When comparing multiple users, request the same metrics for all to ensure apples-to-apples comparison.


Questions? Our support team is here to help! Use the chat button to get personalized assistance with your user analysis queries.

Did this answer your question?