Moussa Marega
Football player 🇲🇱
293,643
Followers
85
Following
10,182
Tweets
699.6
Avg Engagement
179
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @marega91'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:2011-11-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,131
- Avg Likes per Tweet:377.5
- Avg Retweets per Tweet:322.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,131 tweetsHis tweets receive high engagement, with an average of 19,989 likes and 9,101 retweets, indicating a highly interactive audience.
377.5
Avg Likes/Tweet
322.1
Avg Retweets/Tweet
1,181,896
Total Likes
1,008,473
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
8
75th Percentile
147,231
Top Tweet
2.38
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
21.7%
Original
39.1%
Replies
38.7%
Retweets
0.5%
Quotes
0.0%
Threads
0.5%
With Media
24.0%
With Links
21.4%
With #Tags
78.9%
With @Mentions
24.5%
With Emojis
76
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.8
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.1%
Weekday Posts
34.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,131 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 1,212 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 3,131 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 football fans and supporters, with a mix of international and local users given his verified status and language use.
Average
Audience Quality
31.9%
Suspicion Index
39.7%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.2%
Empty Bio
38.3%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.5%
No URL
24.2%
<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.
31,683,482
Total Potential Reach
8
Median Follower Reach
60
75th Percentile Reach
3.6%
>1K followers
0.5%
>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).
34.9%
Creators
17,470 accounts
26.8%
Consumers
13,404 accounts
38.3%
Dormant
19,126 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):
409
Verified Followers
0.41% of total
12,791
Protected Accounts
12.79% 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 | 14,102,313 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ElDHME | 620,127 | Unknown | - |
| @Twytat | 461,139 | News Editor | News, Saudi Arabia, World |
| @fahadalahmdi | 456,647 | Writer | writing, author, books |
| @456k__ | 456,068 | - | - |
| @AzizSamily | 453,275 | YouTuber | Entertainment, Fatherhood, Merchandise |
| @malak12601 | 415,140 | - | - |
| @Dr__Sha3r | 324,312 | - | - |
| @malthaidy | 318,572 | Sports Journalist | Sports, Critic, Journalism |
| @5ii1_ | 294,723 | Unknown | Football, Al-Hilal, Gratitude |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,756
Followers With Bio
50,244
Followers Without Bio
49.76%
% With Bio
50.24%
% 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 3,131 analyzed352,619
Combined Engagement
72,667
Total Likes
279,952
Total Retweets
70,524
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @ibfk2014: ✊🏻✊🏿 NO TO RACISM | #Respect https://t.co/Ic1BzfANoi
RT @LCFC: 💙 https://t.co/1omGNWWTJd
Gostaria apenas de dizer a esses idiotas que vêm ao estádio fazer gritos racistas ... vá se foder 🖕🏾🖕🏾 E também agradeço aos árbitros por não me defenderem e por terem me dado um cartão amarelo porque defendo minha… https://t.co/yJl9hBnBEy
We are the Champions 💙🏆 مبروك علينا #Alhamdulillah #الهلال_بطل_اسيا https://t.co/mzUE6hE3Ly
RT @RebeuDeter: Plus de 3 millions de musulmans Ouïghours se font tuer, torturer et humilier dans des camps en Chine, là où ils y sont enfe…
Key Insights & Takeaways
He frequently expresses frustration with racism in football, showing a strong stance against discrimination. He celebrates team victories and religious moments, indicating a deep connection to his team and faith. His use of emojis and hashtags suggests an effort to connect with fans and share emotional experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 293,643
- + 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 @marega91 reveals an well-established Twitter presence with 293,643 followers. The account demonstrates a conversation-first approach, averaging 699.6 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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