Dante Bonfim Costa
The official twitter account of Dante, professional football player at OGC Nice. Twitter oficial do zagueiro Dante do OGC Nice.
1,649,108
Followers
498
Following
2,972
Tweets
119.0
Avg Engagement
1,474
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dante_bonfim'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:2012-05-09
- Verification:No
- Location:Nice, France
Data Summary
- Tweets Analyzed:2,946
- Avg Likes per Tweet:82.1
- Avg Retweets per Tweet:37.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,946 tweetsDante's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His posts often include links and hashtags, which contribute to increased engagement and reach.
82.1
Avg Likes/Tweet
37.0
Avg Retweets/Tweet
241,779
Total Likes
108,938
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
14
Median Retweets
141
75th Percentile
8,653
Top Tweet
0.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.7%
Original
17.0%
Replies
6.6%
Retweets
2.6%
Quotes
0.0%
Threads
0.5%
With Media
69.0%
With Links
24.0%
With #Tags
51.4%
With @Mentions
17.6%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,946 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 195 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 2,946 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 OGC Nice and players like Neymar. The content is tailored to engage with fans who are passionate about the sport and team dynamics.
Average
Audience Quality
34.0%
Suspicion Index
32.3%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.5%
Empty Bio
44.5%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
79.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
28.2%
<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.
33,105,945
Total Potential Reach
14
Median Follower Reach
63
75th Percentile Reach
2.1%
>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).
28.3%
Creators
14,159 accounts
27.2%
Consumers
13,616 accounts
44.5%
Dormant
22,225 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):
98
Verified Followers
0.1% of total
6,145
Protected Accounts
6.14% 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 | 14,105,402 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RMCsport | 2,337,732 | Sports News | football, rugby, F1 |
| @KameronBennett | 1,809,234 | DJ | Music, DJing, Booking |
| @francefootball | 1,752,785 | - | - |
| @SchneiderlinMo4 | 861,021 | Footballer | Football, Nice, Professional |
| @RicaPerrone | 687,820 | - | - |
| @PlayersTribune | 644,215 | Sports Media | Sports, Olympics, Athletes |
| @tinomarcosreal | 484,440 | Sports Journalist | Sports, Journalism, Travel |
| @Moreno | 430,155 | Influencer | Business, Manager, Serious |
| @UEFAcom_fr | 349,884 | Football (Soccer) | football, futsal, competitions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,098
Followers With Bio
42,902
Followers Without Bio
57.1%
% With Bio
42.9%
% 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 2,946 analyzed25,093
Combined Engagement
13,994
Total Likes
11,099
Total Retweets
5,019
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Neymar, amanhã você entra em campo no coração e na chuteira de cada um de nós. #JOGAPRAELE @neymarjr http://t.co/5EdBDS7Pux
Herzlichen Glückwunsch Deutschland!!! http://t.co/JriUtFyAaJ
RT @FIFPro: UPDATE: @FIFPro has written to @FIFAcom requesting that Peru captain Paolo Guerrero be allowed to participate in the @FIFAWorld…
#ForcaNeymar http://t.co/K9L9tQOhqO
Obrigado @FCBayern!! 👊🏾🙏🏾 https://t.co/SHe4I3meQV
Key Insights & Takeaways
Dante frequently supports teammates like Neymar, which strengthens fan loyalty and connection. His tweets often include celebratory messages and team-related content, reinforcing team spirit. He uses hashtags and mentions to increase visibility and engage with a broader audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,649,108
- + 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 @dante_bonfim reveals an well-established Twitter presence with 1,649,108 followers. The account demonstrates a content-creator strategy, averaging 119.0 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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