Jamaal Charles
10-year veteran NFL running back.
568.285
Followers
973
Following
8.745
Tweets
1.034,0
Avg Engagement
1.542
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jamaalcharles'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:2009-07-15
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:3.135
- Avg Likes per Tweet:122,2
- Avg Retweets per Tweet:911,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.135 tweetsHis tweets receive strong engagement, with an average of 6,725 likes and 2,047 retweets per post, indicating a highly interactive fan base.
122,2
Avg Likes/Tweet
911,8
Avg Retweets/Tweet
383.028
Total Likes
2.858.538
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
9
Median Retweets
129
75th Percentile
292.843
Top Tweet
1,82
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
43,2%
Original
11,9%
Replies
39,6%
Retweets
5,3%
Quotes
0,0%
Threads
1,2%
With Media
54,6%
With Links
29,7%
With #Tags
70,2%
With @Mentions
12,7%
With Emojis
96
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,27
Reply/Original Ratio
0,13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,0%
Weekday Posts
25,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.135 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 1.242 retweets (40% 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 3.135 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 sports fans and followers interested in NFL history and player narratives.
Average
Audience Quality
33,3%
Suspicion Index
46,0%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56,0%
Empty Bio
45,9%
<10 Tweets
8,3%
Mass Following (>2K)
0,0%
New (<90 days)
68,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,7%
No URL
36,0%
<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.
41.877.333
Total Potential Reach
8
Median Follower Reach
73
75th Percentile Reach
3,1%
>1K followers
0,4%
>10K followers
0,1%
>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).
37,0%
Creators
18.516 accounts
17,1%
Consumers
8.537 accounts
45,9%
Dormant
22.947 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):
494
Verified Followers
0.49% of total
6.618
Protected Accounts
6.62% of total
7 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 | 14.105.074 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Broncos | 2.770.642 | Sports Team | Football, Super Bowl, Champions |
| @SInow | 1.858.906 | Sports Media | Sports, TikTok, Instagram |
| @KameronBennett | 1.812.182 | DJ | Music, DJing, Booking |
| @nicekicks | 1.493.694 | Sneakerhead | Sneakers, Culture, Community |
| @CBSSports | 1.378.330 | Sports Media | Sports, News, Updates |
| @McCoolMichelleL | 812.973 | Sports Fan | God, family, sports |
| @unkonfined | 658.218 | Influencer | - |
| @PlayersTribune | 644.095 | Sports Media | Sports, Olympics, Athletes |
| @AngelRiveraXXX | 605.849 | Adult performer | POWERTHIRST, PANSEXUALITY, CANNABIS |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37.227
Followers With Bio
62.773
Followers Without Bio
37.23%
% With Bio
62.77%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.135 analyzed840.850
Combined Engagement
0
Total Likes
840.850
Total Retweets
168.170
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @yulissac48: If youre having a bad day, you should definitely open this😂🤦🏼♀️ https://t.co/kw25xbcLOx
RT @woes_10: Guys I found the video😭😭😭😂 https://t.co/55C0HIG3N2
RT @seulqx: george floyd was not resisting arrest. this video got taken down, please spread it https://t.co/wh0vBeEEpf
RT @Cristian415_: Accurately the first time the beat changes on sicko mode https://t.co/hf2RwFgCB0
RT @Adriyoung: So my family plays White Elephant with a twist: you have to challenge someone to a mini game if you want to steal their gift…
Key Insights & Takeaways
His farewell tweet highlights a career-long dedication and gratitude, emphasizing spiritual and professional fulfillment. The 'running out of gas' tweet adds a relatable, humorous touch to his retirement announcement, showing a more personal side. Verified accounts make up only 0.5% of his followers, suggesting a broad, non-verified fan base interested in his journey.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 568.285
- + 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 @jamaalcharles reveals an exceptionally influential Twitter presence with 568.285 followers. The account demonstrates a content-creator strategy, averaging 1.034,0 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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