Henrique Buss
Twitter Oficial do zagueiro Henrique - Instagram/@henrique03oficial
411,095
Followers
36
Following
1,342
Tweets
17.8
Avg Engagement
267
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @henriqueabuss'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:2011-07-09
- Verification:No
- Location:Curitiba, Brasil
Data Summary
- Tweets Analyzed:1,272
- Avg Likes per Tweet:9.9
- Avg Retweets per Tweet:7.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,272 tweetsHis tweets receive moderate engagement with an average of 368 likes and 245 retweets per post.
9.9
Avg Likes/Tweet
7.9
Avg Retweets/Tweet
12,633
Total Likes
10,052
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
5
75th Percentile
786
Top Tweet
0.04
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
21.9%
Original
53.8%
Replies
24.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
8.1%
With Links
20.4%
With #Tags
79.6%
With @Mentions
7.5%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.46
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
49.8%
Weekday Posts
50.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,272 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 310 retweets (24% 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 1,272 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 and followers interested in his career and personal activities.
Below Average
Audience Quality
42.9%
Suspicion Index
66.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
78.8%
Empty Bio
70.6%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
79.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
53.6%
<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.
11,432,957
Total Potential Reach
2
Median Follower Reach
16
75th Percentile Reach
0.8%
>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).
12.8%
Creators
6,419 accounts
16.6%
Consumers
8,301 accounts
70.6%
Dormant
35,280 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):
25
Verified Followers
0.03% of total
2,554
Protected Accounts
2.55% of total
9 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 |
|---|---|---|---|
| @camilozuniga18 | 1,723,185 | Athlete | Soccer, Motivation, Determination |
| @AndreiaSadi | 1,307,291 | Journalist | Politics, Journalism, News |
| @LeBronJames | 1,001,977 | - | - |
| @Coritiba | 981,023 | Sports Club | Football, Sports, Membership |
| @kkoulibaly26 | 839,435 | Footballer | Football, ChelseaFC, NoToRacism |
| @MelissaJoanHart | 631,383 | Actress | Family, Acting, Motherhood |
| @pauloamigao | 386,143 | Narrador esportivo | Esportes, Narrador, Apresentador |
| @bahiaprime1 | 295,721 | News Outlet | news, Bahia, economy |
| @SportYou | 132,451 | Sports Media | Deporte, vivir, manera |
| @RededoFutebol | 101,757 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,199
Followers With Bio
82,801
Followers Without Bio
17.2%
% With Bio
82.8%
% 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 1,272 analyzed3,084
Combined Engagement
1,779
Total Likes
1,305
Total Retweets
617
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
#QueroGanhar a camisa 3 do @henriqueabuss
#NovaFotoDePerfil https://t.co/pZUEXL82vw
Parabéns rapaziada!! A luta continua!! ⚪️🟢⚪️🟢 em Arena Independência https://t.co/jpQIIO1Wd6
#QueroGanhar a camisa 3 do @henriqueabuss
Parabéns a todos! ⚪️🟢🟢⚪️ 🙏🙏🙏🙏 em Curitiba, Paraná https://t.co/DmP17xyz21
Key Insights & Takeaways
His top tweets include a new profile picture link and match highlights, indicating a focus on personal branding and performance. He frequently shares match results and locations, showing a connection with his fanbase and local community. Engagement seems to be strongest with celebratory and event-related posts, suggesting a preference for content that highlights achievements and shared experiences.
Strengths
- + Established follower base of 411,095
- + 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 @henriqueabuss reveals an growing Twitter presence with 411,095 followers. The account demonstrates a conversation-first approach, averaging 17.8 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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