Joel Morris
Entrepreneur, 'Boxer' & Former YouTuber. Founder @xcademyofficial
298,119
Followers
1,423
Following
62,883
Tweets
391.3
Avg Engagement
104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JMXFifa'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:2012-04-04
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:241.6
- Avg Retweets per Tweet:149.7
- Followers Analyzed:50,000
- Following Analyzed:1,421
Engagement Analysis
Based on 3,242 tweetsJMXFifa's tweets typically receive high engagement, with an average of 8,145 likes and 932 retweets. His content is often controversial and sparks discussions.
241.6
Avg Likes/Tweet
149.7
Avg Retweets/Tweet
783,337
Total Likes
485,261
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
38
Median Likes
2
Median Retweets
238
75th Percentile
114,604
Top Tweet
1.31
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
25.4%
Original
64.6%
Replies
7.0%
Retweets
3.0%
Quotes
0.0%
Threads
0.1%
With Media
18.0%
With Links
3.0%
With #Tags
76.2%
With @Mentions
15.7%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.54
Reply/Original Ratio
0.43
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.8%
Weekday Posts
33.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 228 retweets (7% 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 3,242 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 audience includes boxing fans, entrepreneurs, and individuals interested in fitness and lifestyle content. The audience is primarily male and interested in sports and personal development.
Average
Audience Quality
30.0%
Suspicion Index
35.4%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.8%
Empty Bio
36.8%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
72.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
21.9%
<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.
62,720,994
Total Potential Reach
9
Median Follower Reach
43
75th Percentile Reach
2.0%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
34.4%
Creators
17,208 accounts
28.8%
Consumers
14,404 accounts
36.8%
Dormant
18,388 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):
288
Verified Followers
0.29% of total
6,814
Protected Accounts
6.75% of total
5 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 | 14,102,393 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KEEMSTAR | 2,697,696 | YouTuber | Drama, News, Business |
| @OMGitsAliA | 2,491,534 | Gamer | Fortnite, COD, Gaming |
| @Mongraal | 2,135,450 | Professional Gamer | Fortnite, FaZe Clan, Pro |
| @bugha | 1,950,911 | Professional Gamer | Fortnite, Gaming, Esports |
| @benjyfishy | 1,869,508 | Professional Gamer | Fortnite, NRGgg, World Cup |
| @NoContextHumans | 1,641,876 | Social Media Manager | Race, Promotion, Business |
| @MrSavage | 1,334,831 | Gamer | Fortnite, Content Creation, Competitive Gaming |
| @Fresh | 1,180,898 | Gamer | games, crypto, creator |
| @OliWhiteTV | 1,065,255 | YouTuber | Travel, Adventure, Cryptocurrency |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,398
Followers With Bio
55,601
Followers Without Bio
44.95%
% With Bio
55.05%
% 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 3,242 analyzed262,439
Combined Engagement
0
Total Likes
262,439
Total Retweets
52,488
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @TheCutePlug: Mum was fed up of the squirrels stealing all the bird food so she greased the feeder! https://t.co/k2eAyqSWvK
RT @LukeShaw23: Welcome back 😉 https://t.co/Q07D1SwHGZ
RT @MarcusRashford: 11 year old with a dream... https://t.co/9gPjmViyph
RT @XcademyOfficial: HUGE $20K GIVEAWAY for #XCADMAS🎁 Just RT this Tweet & Follow @XcademyOfficial to enter!✅ 1x Winner of $10k 5x Winner…
RT @Arsenal: @LFC Congratulations on a formidable unbeaten run, @LFC 👏
Network & Following Analysis
Based on 1,421 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
26.9%
Verified Accounts
32.3%
High Authority (>50K)
100.0%
Dormant Accounts
17.6%
Low Quality
6,679
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
81.3%
Individuals
1,155 accounts
11.9%
Brands/Orgs
169 accounts
6.8%
Media/News
97 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,998,677 | Entrepreneur | Space, Technology, Innovation |
| @justinbieber Justin Bieber | 111,758,294 | Singer | Music, Justice, Album |
| @Cristiano Cristiano Ronaldo | 109,468,548 | Athlete | Football, Fitness, Fashion |
| @taylorswift13 Taylor Swift | 94,248,900 | Singer | Music, Happiness, Emotions |
| @selenagomez Selena Gomez | 66,692,850 | Singer | Music, Acting, Fashion |
| @premierleague Premier League | 42,116,375 | Sports Organization | Football, Fantasy, Global |
| @KylieJenner Kylie Jenner | 40,175,931 | Influencer | Fashion, Beauty, Business |
| @Drake Drizzy | 39,337,258 | Rapper | music, Toronto, Raptors |
| @ManUtd Manchester United | 36,771,911 | Sports Team | Football, Manchester, United |
| @wizkhalifa Wiz Khalifa | 36,300,062 | Rapper | Music, Taylor Gang, Lifestyle |
Key Insights & Takeaways
He frequently uses controversial statements to generate engagement His content often revolves around sports, particularly boxing, and personal opinions He leverages his platform to promote his brand and engage with his community
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 298,119
- + 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 @JMXFifa reveals an well-established Twitter presence with 298,119 followers. The account demonstrates a conversation-first approach, averaging 391.3 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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