Benjamin Da Silva
🟣 Journaliste @beinsports_FR 🏆 LaLiga, Champions League 🎮 Commentateur @easportsfcfr
245,833
Followers
939
Following
12,873
Tweets
386.3
Avg Engagement
285
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BenjDaSilva'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:2013-05-10
- Verification:No
- Location:Paris, Ile-de-France
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:349.5
- Avg Retweets per Tweet:36.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive an average of 23,975 likes and 3,168 retweets, indicating strong audience interaction. His content is highly shareable and emotionally engaging.
349.5
Avg Likes/Tweet
36.8
Avg Retweets/Tweet
1,136,008
Total Likes
119,526
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
1
Median Retweets
188
75th Percentile
42,791
Top Tweet
1.57
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
21.6%
Original
62.8%
Replies
0.8%
Retweets
14.7%
Quotes
0.0%
Threads
0.6%
With Media
31.4%
With Links
9.1%
With #Tags
75.1%
With @Mentions
64.8%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.9
Reply/Original Ratio
18.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.8%
Weekday Posts
34.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 26 retweets (1% 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 3,250 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 is primarily football fans interested in in-depth analysis and passionate commentary. They appreciate his personal touch and emotional connection to the sport.
Average
Audience Quality
30.4%
Suspicion Index
35.7%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.8%
Empty Bio
39.7%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
25.6%
<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.
32,506,329
Total Potential Reach
15
Median Follower Reach
65
75th Percentile Reach
2.0%
>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).
36.5%
Creators
18,244 accounts
23.8%
Consumers
11,889 accounts
39.7%
Dormant
19,867 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):
101
Verified Followers
0.1% of total
6,629
Protected Accounts
6.56% 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 | 14,100,435 | Wrestler | Wrestling, Motivation, Self-promotion |
| @footmercato | 3,394,237 | Sports News | football, France, actualité |
| @_BeFootball | 1,769,730 | Football Content Creator | Football, FIFA, F1 |
| @Footballogue | 1,769,717 | Football News | Football, Actualités, FIFA World Cup |
| @lnstantFoot | 1,711,857 | Football Blogger | Football, Instant, Vivons |
| @SinghLions | 1,334,284 | Restaurateur | Food, Travel, Influencer |
| @Juninhope08 | 997,322 | Footballer | Football, UEFA, Politics |
| @EA_FIFA_France | 633,387 | - | - |
| @VibesFoot | 559,355 | Football Analyst | Football, Vibes, Perspective |
| @IamMzilikazi | 546,914 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,672
Followers With Bio
42,320
Followers Without Bio
58.1%
% With Bio
41.9%
% 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 3,250 analyzed171,787
Combined Engagement
153,515
Total Likes
18,272
Total Retweets
34,357
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Omar vit et commente le foot avec passion. Il est extraverti, mais pas égocentrique. Omar transmet du bonheur, des émotions. Il a scandé « Messi » alors qu’il aurait pu enlever son costume et mettre le pyjama. Pourquoi faut-il se justifier d’être heureux ? 💙 @Omar_daFonseca
La photo est incroyable ❤️🔥 https://t.co/A0UP9weuNT
https://t.co/77iF9mEjmY
… https://t.co/AEyt11icDe
⚜️ Le lendemain, toujours le même effet 😵 @Benzema https://t.co/cGl50nZ97S
Key Insights & Takeaways
He often shares personal and emotional stories about football, which create a deep connection with his audience. He uses personal anecdotes and passion to convey his love for the sport. His content is visually engaging, as seen in the high engagement of his image-linked tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 245,833
- + 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 @BenjDaSilva reveals an well-established Twitter presence with 245,833 followers. The account demonstrates a conversation-first approach, averaging 386.3 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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