🦈
#LevelUp6 #ForeverLSU💛 God's Glory ✞
95,122
Followers
1,103
Following
27,628
Tweets
708.5
Avg Engagement
238
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Patrickqueen_'s Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2014-10-21
- Verification:No
- Location:Ventress, LA
Data Summary
- Tweets Analyzed:3,205
- Avg Likes per Tweet:423.3
- Avg Retweets per Tweet:285.2
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,205 tweetsTheir tweets receive high engagement, with an average of 33k likes and 3k retweets per post.
423.3
Avg Likes/Tweet
285.2
Avg Retweets/Tweet
1,356,667
Total Likes
914,094
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
2
Median Retweets
325
75th Percentile
127,336
Top Tweet
7.45
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
14.7%
Original
45.6%
Replies
13.7%
Retweets
26.1%
Quotes
0.0%
Threads
0.1%
With Media
43.1%
With Links
5.0%
With #Tags
61.9%
With @Mentions
48.6%
With Emojis
51
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.11
Reply/Original Ratio
1.91
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,205 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 438 retweets (14% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,205 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,999 followersTheir followers are likely sports enthusiasts and fans of humorous, relatable content.
Average
Audience Quality
27.7%
Suspicion Index
36.6%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.4%
Empty Bio
34.8%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
56.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.6%
No URL
22.8%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
7,353,601
Total Potential Reach
20
Median Follower Reach
99
75th Percentile Reach
3.2%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39.9%
Creators
4,390 accounts
25.3%
Consumers
2,779 accounts
34.8%
Dormant
3,830 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
121
Verified Followers
1.1% of total
917
Protected Accounts
8.34% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @DailyLoud | 1,888,383 | Music Blogger | Hip-Hop, Music, Updates |
| @dougulman | 845,880 | Nonprofit Leader | Cancer, Cycling, Philanthropy |
| @MicahhParsons11 | 540,525 | - | - |
| @BallsackSports | 262,786 | Satire Account | Parody, Satire, Sports |
| @SportPsychTips | 169,667 | - | - |
| @jasrifootball | 146,953 | Sports Journalist | NFL, Breaking News, Original Reporting |
| @SergeantAqGo | 130,003 | Military Veteran | Iraq war, pro-police, veteran |
| @missjune2009 | 126,665 | Model | Playboy, Modeling, Lifestyle |
| @elliesangelwing | 113,649 | Religious influencer | Jesus, Angels, Nature |
| @Pro_Hunt58 | 107,092 | NFL Player | NFL, Farmer, Hunter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,456
Followers With Bio
5,543
Followers Without Bio
49.6%
% With Bio
50.4%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,205 analyzed350,256
Combined Engagement
179,285
Total Likes
170,971
Total Retweets
70,051
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Can tell you never played sports. At least not competitively 😂 https://t.co/pevn4cgtvb
RT @halleberry: 💔 https://t.co/O4wKKBgQwt
It ain’t that deep https://t.co/lfaOeBm0kr
RT @JoshuaPotash: The fare is $2.75. Seven cops tasing a man over $2.75. But tell me again how they keep us safe. https://t.co/yEwQ1GJU5h
RT @JColeNC: Read this please. Then share. oklahoma is a day away from executing a man. The evidence that this man is innocent is overwhelming. So much so that the state parole board recommended to the governor that he not be executed. with 1 day left of his life, the governor ha
Key Insights & Takeaways
They often share personal experiences and opinions on sports, which resonate with their audience. Their content is lighthearted and relatable, making it easy for followers to connect. They use humor and self-deprecating remarks to engage and entertain their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 95,122
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @Patrickqueen_ reveals an well-established Twitter presence with 95,122 followers. The account demonstrates a conversation-first approach, averaging 708.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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