Samuel Umtiti
๐๐ฉ๐ข๐ฎ๐ฑ๐ช๐ฐ๐ฏ ๐ฅ๐ถ ๐๐ฐ๐ฏ๐ฅ๐ฆ โญโญ ๐๐ ๐๐ข๐ณ๐ค๐ฆ๐ญ๐ฐ๐ฏ๐ข ๐ค๐ฐ๐ฏ๐ต๐ข๐ค๐ต@๐ด๐ข๐ฎ๐ถ๐ฎ๐ต๐ช๐ต๐ช.๐ค๐ฐ๐ฎ
1,548,203
Followers
146
Following
1,917
Tweets
3,704.7
Avg Engagement
1,552
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @samumtiti'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: Mega Influencer (1M+)
- Account Age:2011-04-04
- Verification:No
- Location:Lille, France
Data Summary
- Tweets Analyzed:1,851
- Avg Likes per Tweet:3,128.1
- Avg Retweets per Tweet:576.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,851 tweetsHis tweets receive a high level of engagement, with an average of 64,532 likes and 16,279 retweets per post. The content is well-received, indicating strong audience interaction and interest.
3,128.1
Avg Likes/Tweet
576.6
Avg Retweets/Tweet
5,790,185
Total Likes
1,067,279
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
77
Median Retweets
3,756
75th Percentile
119,672
Top Tweet
2.39
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
48.1%
Original
9.7%
Replies
38.3%
Retweets
3.8%
Quotes
0.0%
Threads
0.5%
With Media
50.6%
With Links
48.2%
With #Tags
61.5%
With @Mentions
46.3%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,851 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 709 retweets (38% 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 1,851 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 primarily consists of football fans, especially those supporting FC Barcelona, as well as general entertainment seekers. The mix of humor and sports content appeals to a broad demographic.
Below Average
Audience Quality
37.3%
Suspicion Index
44.3%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.2%
Empty Bio
55.8%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
83.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.6%
No URL
38.3%
<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.
22,523,256
Total Potential Reach
6
Median Follower Reach
28
75th Percentile Reach
1.2%
>1K followers
0.1%
>10K followers
0.0%
>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).
19.8%
Creators
9,898 accounts
24.4%
Consumers
12,187 accounts
55.8%
Dormant
27,915 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):
75
Verified Followers
0.07% of total
6,770
Protected Accounts
6.7% 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 | 14,105,410 | Wrestler | Wrestling, Motivation, Self-promotion |
| @fcbarcelona_fra | 3,449,928 | Football Club | Football, Barcelone, Passion |
| @RonaldAraujo_4 | 828,858 | Footballer | Football, Barcelona, Uruguay |
| @L9arami | 608,568 | - | - |
| @VibesFoot | 557,608 | Football Analyst | Football, Vibes, Perspective |
| @IamMzilikazi | 544,127 | Musician | Pan-African music, Album, Rise |
| @Naked_Dj | 505,752 | DJ | Music, DJing, Producing |
| @Moreno | 430,153 | Influencer | Business, Manager, Serious |
| @christine_kelly | 286,626 | - | - |
| @BRUNOFUNRADIO | 249,184 | Radio Host | Music, Radio, Fun |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,169
Followers With Bio
45,830
Followers Without Bio
54.62%
% With Bio
45.38%
% 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 1,851 analyzed485,343
Combined Engagement
384,256
Total Likes
101,087
Total Retweets
97,069
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Une douche sโimposait avec la plus belle ๐๐๐คฃ๐ป๐ซ๐ท https://t.co/obKGuXQZzT
1 an dรฉjร ... Je cassais la dรฉmarche ๐ตโช๐ด #SahQuelPlaisir ๐ https://t.co/Z7zQOV85UQ
Bienvenue Mosquito ๐ @Dembouz https://t.co/QWlIrJaf1y
CHAMPIโญ๏ธNS DU Mโญ๏ธNDE https://t.co/gZvPMP8J6a
๐๐บ๐พ https://t.co/VS5Gg7mh4W
Key Insights & Takeaways
His content often includes personal and humorous moments, which resonate well with his audience. He frequently interacts with fans and fellow athletes, fostering a sense of community. His use of emojis and hashtags adds a playful tone to his tweets, making them more engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,548,203
- + 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 @samumtiti reveals an exceptionally influential Twitter presence with 1,548,203 followers. The account demonstrates a content-creator strategy, averaging 3,704.7 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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