Luisão
Twitter oficial do capitão do Sport Lisboa e Benfica
72,715
Followers
122
Following
1,692
Tweets
69.6
Avg Engagement
205
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @luisao4oficial'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: Mid-Tier (10K+)
- Account Age:2012-06-02
- Verification:No
- Location:Lisboa - Portugal
Data Summary
- Tweets Analyzed:1,598
- Avg Likes per Tweet:33.7
- Avg Retweets per Tweet:35.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,598 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active fan base. The use of hashtags and personal anecdotes helps drive interaction.
33.7
Avg Likes/Tweet
35.9
Avg Retweets/Tweet
53,856
Total Likes
57,313
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
6
Median Retweets
55
75th Percentile
2,828
Top Tweet
0.96
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
42.6%
Original
16.8%
Replies
40.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
48.6%
With Links
12.6%
With #Tags
61.3%
With @Mentions
2.7%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,598 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 649 retweets (41% 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 1,598 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 10,000 followersThe primary audience consists of Benfica fans who are emotionally invested in the team and its players. The content resonates with fans who value personal stories and team unity.
Average
Audience Quality
26.5%
Suspicion Index
30.9%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
30.1%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
18.6%
<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.
3,790,571
Total Potential Reach
23
Median Follower Reach
108
75th Percentile Reach
2.3%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.9%
Creators
4,694 accounts
22.9%
Consumers
2,292 accounts
30.1%
Dormant
3,014 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):
9
Verified Followers
0.09% of total
1,064
Protected Accounts
10.64% of total
6 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 |
|---|---|---|---|
| @RicaPerrone | 699,982 | - | - |
| @placar | 618,890 | Sports Journalist | Futebol, Black Friday, Assinatura |
| @BastidoresDaTV | 193,413 | - | - |
| @grimaldo35 | 138,419 | Footballer | Football, Benfica, Gaming |
| @TheSportsman | 101,638 | Sports Media | Sports, Fans, Community |
| @GokuMemeXD | 73,574 | - | - |
| @InformGlorious2 | 65,404 | Sports News | Futebol, Modalidades, Formação |
| @dtheis10 | 60,103 | Basketball Player | Basketball, Rockets, Germany |
| @ResenhaESPN | 50,297 | Sports Commentator | Sports, Talk Show, Entertainment |
| @CurtaVermelha | 45,399 | Sports Journalist | Sport Lisboa e Benfica, Coluna Vermelha, Curtavermelha |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,674
Followers With Bio
4,326
Followers Without Bio
56.74%
% With Bio
43.26%
% 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 1,598 analyzed7,659
Combined Engagement
2,582
Total Likes
5,077
Total Retweets
1,532
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @Koeman1963: Ter ere van mijn verjaardag vandaag... http://t.co/f2vHUzgLos
Esse menino entrou comigo em campo qd ele tinha 7 ou 8 anos e hoje estamos juntos para um jogo de Champions.. http://t.co/CcgYPcnqjA
Antes das férias tínhamos que passar no Marquês novamente né... Esta ai registrado!!! Benficaaaaa agora sim #ferias http://t.co/1gZ0urrvlx
Infelizmente não foi o que queríamos, mas orgulhoso pelo apoio de cada Benfiquista, somos uma família e domingo Juntos Somos Mais Fortes...
Emocionante!!! Só tenho que agradecer de coração! http://t.co/Zu485NfPCO
Key Insights & Takeaways
The account often shares personal milestones and team achievements, which fosters a sense of connection with followers. It leverages nostalgia and shared memories to strengthen the bond with the fanbase. The use of hashtags like #ferias highlights the importance of community and celebration within the fan culture.
Strengths
- + Established follower base of 72,715
- + 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 @luisao4oficial reveals an growing Twitter presence with 72,715 followers. The account demonstrates a content-creator strategy, averaging 69.6 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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