Yuri Alberto
Jogador do @Corinthians | @nikefootball 📩:[email protected]
169,917
Followers
173
Following
1,412
Tweets
1,113.3
Avg Engagement
46
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yuri_alberto'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:2016-09-19
- Verification:No
- Location:São Paulo, Brasil
Data Summary
- Tweets Analyzed:1,343
- Avg Likes per Tweet:1,030.5
- Avg Retweets per Tweet:82.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,343 tweetsHis tweets receive high average likes and retweets, indicating strong audience interaction and popularity.
1,030.5
Avg Likes/Tweet
82.8
Avg Retweets/Tweet
1,383,999
Total Likes
111,224
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
3
Median Retweets
407
75th Percentile
49,184
Top Tweet
6.55
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
61.2%
Original
25.1%
Replies
8.9%
Retweets
4.8%
Quotes
0.0%
Threads
0.0%
With Media
47.1%
With Links
23.6%
With #Tags
40.7%
With @Mentions
68.5%
With Emojis
57
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.55
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,343 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 119 retweets (9% 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 1,343 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 followers are likely football fans, especially those supporting Corinthians, and they appreciate his playful and motivational content.
Average
Audience Quality
20.3%
Suspicion Index
27.6%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
27.1%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
44.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
18.9%
<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.
12,291,438
Total Potential Reach
17
Median Follower Reach
75
75th Percentile Reach
3.3%
>1K followers
0.2%
>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).
54.5%
Creators
27,241 accounts
18.5%
Consumers
9,226 accounts
27.1%
Dormant
13,533 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):
47
Verified Followers
0.05% of total
21,354
Protected Accounts
21.15% of total
3 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 |
|---|---|---|---|
| @Corinthians | 7,715,438 | Sports Team | Football, Sports, Club |
| @luscas | 7,431,913 | Influencer | Twitter, Brasil, Angelina Jolie |
| @andreolifelipe | 3,351,675 | Jornalista | Esportes, Jornalismo, Globo |
| @As_TomasRoncero | 1,758,343 | Journalist | Real Madrid, Deportes, Periodismo |
| @MeuTimao | 1,136,865 | Sports Fan | Corinthians, Futebol, Paixão |
| @fifaworldcup_pt | 856,128 | Sports Media | Soccer, World Cup, FIFA |
| @portaldatorcida | 666,766 | Sports Marketing | Futebol, Antirracista, Flamengo |
| @IamMzilikazi | 547,592 | Musician | Pan-African music, Album, Rise |
| @amorahgos | 425,840 | - | - |
| @_sccpnews | 415,687 | Sports News | Sport, Corinthians, Paulista |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,448
Followers With Bio
35,540
Followers Without Bio
64.81%
% With Bio
35.19%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,343 analyzed170,228
Combined Engagement
156,115
Total Likes
14,113
Total Retweets
34,046
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Tô feliz 🥰 Falei tô leve 😅🤣 https://t.co/xkW1w1ojKg
Vamoooooooooooooos 🦅🔥
Ótimo domingo em Porto Alegre 🥰
YA7 https://t.co/Wqt7erAdyl
Feliz aniversário @SCInternacional ❤️ https://t.co/Dw69Ba6CYM
Key Insights & Takeaways
He uses emojis and slang to connect with his audience in a casual and friendly manner. His content often includes team chants and motivational messages, which resonate well with his followers. He maintains a consistent and active presence on Twitter, which helps in keeping his audience engaged.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 169,917
- + 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 @yuri_alberto reveals an exceptionally influential Twitter presence with 169,917 followers. The account demonstrates a content-creator strategy, averaging 1,113.3 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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