Omar da Fonseca
Consultant @beinsports_FR Voix de #FC24 @easportsfcfr Instagram: omar.dafonseca
254,878
Followers
1,239
Following
4,055
Tweets
499.6
Avg Engagement
377
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Omar_daFonseca'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:2014-05-29
- Verification:No
- Location:Paris, France
Data Summary
- Tweets Analyzed:2,847
- Avg Likes per Tweet:231.5
- Avg Retweets per Tweet:268.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,847 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The emotional depth of his posts likely contributes to this high engagement.
231.5
Avg Likes/Tweet
268.1
Avg Retweets/Tweet
658,992
Total Likes
763,282
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
51
75th Percentile
120,864
Top Tweet
1.96
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
7.4%
Original
9.3%
Replies
82.9%
Retweets
0.5%
Quotes
0.0%
Threads
0.7%
With Media
35.2%
With Links
28.1%
With #Tags
93.5%
With @Mentions
39.6%
With Emojis
111
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.26
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,847 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 2,360 retweets (83% 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 2,847 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 appears to be primarily football enthusiasts, especially fans of FC24 and EA Sports FC France. The content also appeals to those who appreciate personal and emotional narratives.
Average
Audience Quality
30.1%
Suspicion Index
38.5%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.7%
Empty Bio
35.9%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
69.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
23.4%
<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.
14,250,745
Total Potential Reach
13
Median Follower Reach
55
75th Percentile Reach
1.9%
>1K followers
0.2%
>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).
39.7%
Creators
19,855 accounts
24.4%
Consumers
12,175 accounts
35.9%
Dormant
17,970 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):
144
Verified Followers
0.14% of total
6,998
Protected Accounts
6.93% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,477,911 | Journalist | Football, Transfers, News |
| @footmercato | 3,392,238 | Sports News | football, France, actualité |
| @SinghLions | 1,334,438 | Restaurateur | Food, Travel, Influencer |
| @VHMok | 1,022,462 | Journalist | Politics, Radio, Sports |
| @MedhiBenatia | 956,272 | Footballer | football, family, Morocco |
| @piresrobert7 | 709,122 | Footballer | Football, Champion's Tour, Inquiries |
| @EA_FIFA_France | 633,368 | - | - |
| @daniarcucci | 580,117 | Sports Journalist | Football, Running, Marathons |
| @Qatari | 570,374 | Lawyer | Real Madrid, PSG, Arsenal |
| @VibesFoot | 559,135 | Football Analyst | Football, Vibes, Perspective |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,543
Followers With Bio
49,454
Followers Without Bio
51.03%
% With Bio
48.97%
% 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 2,847 analyzed476,537
Combined Engagement
160,709
Total Likes
315,828
Total Retweets
95,307
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @spurs: 1 RT = 1 Vote Manu Ginobili #NBAVOTE https://t.co/0ylk4DmlRu
🤔 Peut-être aurais-je dû le repousser... 🙄 https://t.co/euY5bHufb3
RT @benphillips76: The best news story today is this little girl called Anu showing her friends her new foot. Watch. https://t.co/9bzxJv8Z81
RT @delpotrojuan: Apoyemos a @manuginobili que merece ir de nuevo al #AllStar y mucho más. #NBAVote Manu Ginobili 🏀🙌 Cada RT es un voto! /…
Tu as ignoré le découragement , l'invaincu amour du jeu l'a emporté. https://t.co/T3TwdvQxSM
Key Insights & Takeaways
His content often reflects on personal relationships and emotional experiences, suggesting a focus on storytelling and authenticity. He frequently references football teams and games, indicating a strong passion for the sport and its culture. The use of personal and emotional language suggests a desire to connect with followers on a deeper level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 254,878
- + 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 @Omar_daFonseca reveals an well-established Twitter presence with 254,878 followers. The account demonstrates a conversation-first approach, averaging 499.6 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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