Diego Polenta
@Nacional
72,658
Followers
89
Following
361
Tweets
1,350.1
Avg Engagement
90
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @diegopolenta92'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:2011-07-28
- Verification:No
- Location:Montevideo, Uruguay
Data Summary
- Tweets Analyzed:357
- Avg Likes per Tweet:1,110.2
- Avg Retweets per Tweet:239.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 357 tweetsThe average likes and retweets per tweet suggest a moderate level of audience interaction. The user's content is engaging and likely appeals to a broad demographic.
1,110.2
Avg Likes/Tweet
239.9
Avg Retweets/Tweet
396,331
Total Likes
85,654
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
749
Median Likes
135
Median Retweets
1,829
75th Percentile
12,855
Top Tweet
18.58
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
65.5%
Original
10.6%
Replies
19.6%
Retweets
4.2%
Quotes
0.0%
Threads
0.0%
With Media
77.0%
With Links
15.7%
With #Tags
54.3%
With @Mentions
65.3%
With Emojis
107
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 357 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 70 retweets (20% 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 357 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 audience appears to be interested in personal stories, sports, and community interactions. The user's content seems to resonate with a mix of personal and public interests.
Good
Audience Quality
19.3%
Suspicion Index
25.8%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.4%
Empty Bio
20.8%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
40.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
13.3%
<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.
17,784,768
Total Potential Reach
55
Median Follower Reach
201
75th Percentile Reach
5.0%
>1K followers
0.4%
>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).
60.3%
Creators
6,032 accounts
18.9%
Consumers
1,891 accounts
20.8%
Dormant
2,077 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):
13
Verified Followers
0.13% of total
837
Protected Accounts
8.37% 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 | 14,093,609 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Nacional | 456,244 | Football Club | Football, Uruguay, Titles |
| @msarthou | 91,745 | Writer | Uruguay, Periodismo, Política |
| @laabdon | 83,880 | Sports Journalist | Nacional, Notas, Fotografías |
| @hernan77osorio | 40,318 | Sports Journalist | Deporte, Futbol, Noticias |
| @GrachiAcuna | 36,178 | - | - |
| @abelhernandez_ | 36,084 | - | - |
| @MaxRodriguez_Ok | 35,031 | - | - |
| @omarporcel | 35,013 | - | - |
| @AbogCamilaSosa | 32,530 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,165
Followers With Bio
3,835
Followers Without Bio
61.65%
% With Bio
38.35%
% 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 357 analyzed49,056
Combined Engagement
45,251
Total Likes
3,805
Total Retweets
9,811
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Fuimos compañeros en el liceo y terminamos siendo familia. Te vamos a extrañar pariente https://t.co/xR5QaYr1Zb
VAMOS CARAJO! ⚪️⚫️ https://t.co/S66kYCqROz
De vuelta en casa! 😁 https://t.co/f089ZsLFWU
SOMOS LOS CAMPEONES 🏆🇵🇾 https://t.co/2sQjd3Zjrg
Hola a todos, gracias por preocuparse. Estoy bien, haciendo reposo y siguiendo las indicaciones médicas. En unas semanas quedo pronto 👌🏽 https://t.co/Kljeecfhzg
Key Insights & Takeaways
The user frequently shares personal and emotional content, which helps build a connection with followers. They also engage with sports-related topics, indicating a possible interest in or connection to sports. Their tweets often include links, suggesting they may share additional content or updates beyond the tweet itself.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,658
- + 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 @diegopolenta92 reveals an exceptionally influential Twitter presence with 72,658 followers. The account demonstrates a content-creator strategy, averaging 1,350.1 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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