CJ Mosley
Mobile, Al. @IAm_JameFlame is the bro, love em to death. Former ILB for Alabama, now New York Jets. #WINERGY
150,194
Followers
868
Following
4,343
Tweets
116.3
Avg Engagement
524
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TreyDeuce32RTR'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:2009-08-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,097
- Avg Likes per Tweet:38.6
- Avg Retweets per Tweet:77.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,097 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often personal and emotional, which drives engagement.
38.6
Avg Likes/Tweet
77.6
Avg Retweets/Tweet
119,678
Total Likes
240,469
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
11
75th Percentile
26,207
Top Tweet
0.77
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20.3%
Original
61.1%
Replies
17.6%
Retweets
1.1%
Quotes
0.0%
Threads
0.5%
With Media
17.0%
With Links
18.5%
With #Tags
85.0%
With @Mentions
15.8%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.01
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,097 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 544 retweets (18% 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 3,097 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 followersHis followers are likely sports fans, particularly those interested in football and Alabama football culture. The audience includes both fans and peers in the sports community.
Average
Audience Quality
29.5%
Suspicion Index
39.3%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.1%
Empty Bio
36.3%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
61.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
27.6%
<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.
58,933,750
Total Potential Reach
20
Median Follower Reach
127
75th Percentile Reach
3.8%
>1K followers
0.6%
>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).
46.3%
Creators
23,169 accounts
17.4%
Consumers
8,686 accounts
36.3%
Dormant
18,145 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):
362
Verified Followers
0.36% of total
9,325
Protected Accounts
9.23% of total
8 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 | 14,101,602 | Wrestler | Wrestling, Motivation, Self-promotion |
| @garyvee | 3,165,569 | Entrepreneur | Family, CEO, Investor |
| @mortreport | 2,214,265 | Sports Journalist | Jesus, Family, Cancer |
| @RGIII | 2,205,749 | Athlete | Family, Football, Advocacy |
| @6BillionPeople | 2,033,196 | - | - |
| @thereallisaann | 1,997,833 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @KameronBennett | 1,823,300 | DJ | Music, DJing, Booking |
| @pizzahut | 1,694,743 | Restaurant | Pizza, Literacy, Gaming |
| @nyjets | 1,345,990 | Sports Team | Football, New York, Jets |
| @soledadobrien | 1,317,896 | Journalist | working, mom, journalist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,620
Followers With Bio
55,379
Followers Without Bio
45.17%
% With Bio
54.83%
% 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 3,097 analyzed88,795
Combined Engagement
9,030
Total Likes
79,765
Total Retweets
17,759
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @BleacherReport: A 6’3”, 200-pound high school QB has 108 TDs, a state title, 4.0 GPA and 0 scholarship offers http://t.co/uK4fDWVzXn ht…
You fake ass bama fans stop sending threats to my teammate, you spoiled ******, respect what we do and know we all human! And that's REAL!
RT @jaytatum0: This some bullshit
RT @WalkingDead_AMC: Is it Rick’s last day on Earth? #TWD Season 7 premieres tonight at 9|8c. https://t.co/31tMOfTol8
RT @CNN: Found hanging from a swing set & covered in fire ants, this teen's death is being investigated http://t.co/nBpl4YJAYn http://t.co/…
Key Insights & Takeaways
He frequently addresses fan behavior and calls for respect, showing a focus on community and sportsmanship. His content includes gratitude and personal reflections, which build a connection with his audience. He uses a mix of direct language and emotional appeals to engage and influence his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 150,194
- + 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 @TreyDeuce32RTR reveals an well-established Twitter presence with 150,194 followers. The account demonstrates a conversation-first approach, averaging 116.3 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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