Jermall Charlo
🥊31-0 22KOs 🥇WBC Middleweight Champion of the World #LIONSONLY 🏁#OHB
83.790
Followers
390
Following
10.577
Tweets
22,1
Avg Engagement
394
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FutureOfBoxing'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:2009-04-24
- Verification:No
- Location:Houston Texas
Data Summary
- Tweets Analyzed:3.136
- Avg Likes per Tweet:11,4
- Avg Retweets per Tweet:10,8
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.136 tweetsThe account maintains a consistent level of engagement with an average of 877 likes and 233 retweets per tweet. The top tweets include excitement about upcoming fights and humorous reactions, which likely drive interaction.
11,4
Avg Likes/Tweet
10,8
Avg Retweets/Tweet
35.643
Total Likes
33.750
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
8
75th Percentile
7.120
Top Tweet
0,26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73,4%
Original
5,6%
Replies
20,1%
Retweets
0,8%
Quotes
0,0%
Threads
0,8%
With Media
45,2%
With Links
43,8%
With #Tags
43,3%
With @Mentions
10,5%
With Emojis
84
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,08
Reply/Original Ratio
0,04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69,4%
Weekday Posts
30,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.136 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 631 retweets (20% 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 3.136 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 10.000 followersThe audience appears to be boxing fans and followers of the user's career, likely interested in fight updates and performance highlights. The verified status suggests a blend of personal and professional followers.
Average
Audience Quality
26,2%
Suspicion Index
33,1%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47,0%
Empty Bio
29,8%
<10 Tweets
8,0%
Mass Following (>2K)
0,0%
New (<90 days)
58,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
91,4%
No URL
19,2%
<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.
18.214.073
Total Potential Reach
25
Median Follower Reach
102
75th Percentile Reach
3,1%
>1K followers
0,3%
>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).
46,6%
Creators
4.662 accounts
23,6%
Consumers
2.361 accounts
29,8%
Dormant
2.977 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):
57
Verified Followers
0.57% of total
1.114
Protected Accounts
11.14% of total
4 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 | 14.098.107 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OscarDeLaHoya | 955.669 | Boxer | Boxing, Promoter, Philanthropy |
| @Moreno | 430.045 | Influencer | Business, Manager, Serious |
| @wwos | 260.773 | Sports Media | Sports, Commentary, News |
| @TyIsDigital | 208.154 | Crypto Investor | Crypto, Entrepreneur, Investor |
| @IFLTV | 171.634 | Boxing Promoter | Boxing, Sponsorship, Sports Betting |
| @BillHamid28 | 116.730 | Goalkeeper | Soccer, Athletics, Goalkeeping |
| @ThaRealRockstar | 63.483 | Designer | DESIGN, BRAND, MARKETING |
| @JoelBrunker | 44.231 | Boxer | Boxing, Australia, Retired |
| @Twinsthenewtren | 31.284 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5.305
Followers With Bio
4.695
Followers Without Bio
53.05%
% With Bio
46.95%
% 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 3.136 analyzed15.314
Combined Engagement
3.346
Total Likes
11.968
Total Retweets
3.063
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @DwyaneWade: PRAYERS all the way UP for my brother Lamar Odom!!!
RT @stephenasmith: Yyyyyyyyeeeeeaaaaaaahhhhhhh!!!!!!!! It's on and poppin. See y'all in Vegas on May 2nd
Omfg
RT @XXL: Hov is officially back. Listen to JAY-Z's new album '4:44' right now https://t.co/6kpGwQbeT9 https://t.co/SNNiFrWx5E
Next fight in Dec!!!!!
Key Insights & Takeaways
The user is a verified professional boxer with a strong fan base and active social media presence. The account emphasizes the user's achievements and upcoming fights, which likely drive engagement. The content mix includes both promotional and personal elements, appealing to boxing enthusiasts.
Strengths
- + Established follower base of 83.790
- + 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 @FutureOfBoxing reveals an growing Twitter presence with 83.790 followers. The account demonstrates a content-creator strategy, averaging 22,1 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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