533,331
Followers
538
Following
437
Tweets
2,265.8
Avg Engagement
1,367
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JordanClarksons'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: Macro Influencer (100K+)
- Account Age:2009-09-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:262
- Avg Likes per Tweet:1,782.6
- Avg Retweets per Tweet:483.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 262 tweetsHis tweets receive high average likes and retweets, indicating a highly engaged and loyal fanbase.
1,782.6
Avg Likes/Tweet
483.2
Avg Retweets/Tweet
467,032
Total Likes
126,610
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
300
Median Likes
40
Median Retweets
1,707
75th Percentile
39,082
Top Tweet
4.25
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
33.6%
Original
9.9%
Replies
38.5%
Retweets
17.9%
Quotes
0.0%
Threads
0.4%
With Media
49.6%
With Links
14.5%
With #Tags
53.1%
With @Mentions
47.3%
With Emojis
61
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.3%
Weekday Posts
31.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 262 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 101 retweets (39% 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 262 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 50,000 followersThe audience primarily consists of basketball fans and supporters, showing strong engagement with his game-related content.
Average
Audience Quality
33.2%
Suspicion Index
45.3%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.9%
Empty Bio
48.2%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
70.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
35.6%
<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.
24,997,261
Total Potential Reach
7
Median Follower Reach
40
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.6%
Creators
15,780 accounts
20.2%
Consumers
10,116 accounts
48.2%
Dormant
24,104 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):
319
Verified Followers
0.32% of total
16,383
Protected Accounts
16.38% 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 |
|---|---|---|---|
| @JohnCena | 14,105,183 | Wrestler | Wrestling, Motivation, Self-promotion |
| @myxglobal | 6,469,240 | Music Channel | Music, Stories, Culture |
| @miakhalifa | 5,402,192 | Former Adult Actress | immigrant, شيطان, 🪧 |
| @kylekuzma | 1,294,427 | Basketball Player | Basketball, Lakers, Champion |
| @MooSnuckel | 1,239,358 | Gamer | Video games, fun, business |
| @lululemon | 972,579 | Athleticwear | Fitness, Wellness, Lifestyle |
| @gmasportsph | 839,192 | Sports News | Sports, News, Online |
| @solalexasch | 678,749 | Musician | Music, Travel, Tattoos |
| @IamMzilikazi | 546,272 | Musician | Pan-African music, Album, Rise |
| @MaggieLindemann | 498,682 | Singer | music, collaboration, management |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,230
Followers With Bio
50,770
Followers Without Bio
49.23%
% With Bio
50.77%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 262 analyzed164,814
Combined Engagement
87,170
Total Likes
77,644
Total Retweets
32,963
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Philippines 🖤❤️
RT @WORLDBOSSIN: This is how you do a headline! https://t.co/pu3GDHj4F5
RT @thugvis: The joker dancing to “die today” by young thug is a whole mood https://t.co/GN9chxuiuF
great game by lebanon !!! love yalls crowd energy!! proud the way we fought!! we came up short!! stay safe all love, until next time!! see yall in manila !! ❤️🫶🏾
💪🏽 https://t.co/nTL9SvtLa5
Key Insights & Takeaways
Clarkson's tweets often highlight game moments and fan interactions, showing his connection with supporters. His content is emotionally charged, reflecting both victories and challenges in competition. He uses emojis and casual language to create a friendly and relatable online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 533,331
- + Strong original content creation
- + 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 @JordanClarksons reveals an exceptionally influential Twitter presence with 533,331 followers. The account demonstrates a content-creator strategy, averaging 2,265.8 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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