Juan Manuel Iturbe
Professional Soccer Player @gremio 🇧🇷
393,471
Followers
512
Following
5,906
Tweets
466.9
Avg Engagement
751
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Juan_iturbe93'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:2011-06-14
- Verification:No
- Location:Porto Alegre, Brazil
Data Summary
- Tweets Analyzed:3,181
- Avg Likes per Tweet:196.2
- Avg Retweets per Tweet:270.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,181 tweetsHis tweets receive high engagement with an average of 8,835 likes and 3,270 retweets per post.
196.2
Avg Likes/Tweet
270.7
Avg Retweets/Tweet
624,090
Total Likes
861,253
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
15
Median Retweets
257
75th Percentile
59,842
Top Tweet
1.19
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
51.3%
Original
14.4%
Replies
29.8%
Retweets
4.5%
Quotes
0.0%
Threads
0.2%
With Media
43.4%
With Links
32.9%
With #Tags
69.3%
With @Mentions
25.4%
With Emojis
90
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,181 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 948 retweets (30% 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 3,181 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 includes soccer fans and followers of his personal content, likely from Brazil and Argentina.
Below Average
Audience Quality
35.8%
Suspicion Index
48.4%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.6%
Empty Bio
51.1%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
74.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
40.2%
<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.
35,140,912
Total Potential Reach
7
Median Follower Reach
52
75th Percentile Reach
2.0%
>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).
31.9%
Creators
15,967 accounts
17.0%
Consumers
8,478 accounts
51.1%
Dormant
25,555 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):
135
Verified Followers
0.13% of total
6,091
Protected Accounts
6.03% 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 |
|---|---|---|---|
| @JohnCena | 14,104,436 | Wrestler | Wrestling, Motivation, Self-promotion |
| @VarskySports | 2,062,069 | - | - |
| @ObispoPascal | 1,708,029 | Singer | Music, Album, Vinyl |
| @Alissonbecker | 1,586,658 | Goalkeeper | Liverpool FC, Seleção Brasileira, Jesus |
| @InvictosSomos | 1,099,904 | Sports Journalist | Fútbol mexicano, Fútbol europeo, Fútbol internacional |
| @UFCEspanol | 965,339 | Sports commentator | MMA, UFC, peleas |
| @termoderiver | 949,208 | Sports Analyst | River Plate, Ramón, Angelito y Gallardo |
| @DanielHabif | 934,108 | Motivational Speaker | Dios, Escritor, Inquebrantables |
| @AlvaritoMorales | 674,969 | Journalist | transportation, travel, history |
| @JM_Aulas | 666,928 | Entrepreneur | Football, Business, Technology |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,789
Followers With Bio
63,210
Followers Without Bio
37.42%
% With Bio
62.58%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,181 analyzed150,960
Combined Engagement
0
Total Likes
150,960
Total Retweets
30,192
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @LewisHamilton: Vamos focar em mudar a mentalidade
RT @Pontifex_es: Quiero expresar mi profundo dolor por los ataques terroristas de París. Recen conmigo por las víctimas y sus familias. #Pr…
RT @Pontifex_es: La oración nunca es en vano: siempre hace brotar algo nuevo que tarde o temprano produce fruto.
RT @RiverPlate: ¡¡¡CAMPEONES!!! 🏆 ¡River suma su 36° Campeonato Profesional de Primera División! #RiverCampeón3G ⚪❤⚪ https://t.co/xYKwJ…
RT @Pontifex_es: Nuestra fe nace la mañana de Pascua: ¡Jesús está vivo! Este es el núcleo del mensaje cristiano.
Key Insights & Takeaways
His top tweets often include strong emotional language and references to football teams. He uses emojis and exclamation marks to emphasize his messages. His content suggests a mix of personal expression and sports-related commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 393,471
- + 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 @Juan_iturbe93 reveals an well-established Twitter presence with 393,471 followers. The account demonstrates a content-creator strategy, averaging 466.9 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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