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
π± 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
π Account Metrics
Analyze account performance:
- Historical posting patterns
- Engagement trends
- Growth indicators
- Activity levels
- Content strategy insights
π Batch Lookup
Analyze multiple users simultaneously:
- Side-by-side comparisons
- Competitive analysis
- Influencer rankings
- Network mapping
β‘ 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:
β User Profile Retrieved Username: @elonmusk Display Name: Elon Musk Verified: β Blue Check User ID: 44196397 π Account Statistics: β’ Followers: 180.5M β’ Following: 523 β’ Total Tweets: 45,234 β’ Joined: June 2009 π Location: Texas, USA π Website: https://tesla.com π Bio: "Tesla, SpaceX, Neuralink, The Boring Company" --- π± Recent Tweets Analysis: Tweet #1 (2 hours ago): "Starship launch successful! π" 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 ...] π 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
π 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
π’ 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
π° 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
π 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
βData Points per User: 50+
βUpdate Frequency: Real-time (with forceLatest option)
βBatch Processing: Yes (analyze multiple users simultaneously)
Best Practices
For Influencer Research
Start with topic search to find relevant content
Analyze top-performing tweet authors
Review their full profiles and history
Compare multiple candidates side-by-side
Track changes over time before committing
For Competitive Analysis
Set up regular monitoring schedules
Track key metrics consistently
Look for pattern changes, not just snapshots
Combine with content analysis for full picture
Document insights for team reference
For Verification
Cross-reference multiple data points
Check account age and history
Analyze follower growth patterns
Review engagement authenticity
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
β
π‘ 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.
