Diego Pérez
Campeon de America 2011
203,733
Followers
160
Following
257
Tweets
179.1
Avg Engagement
605
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rusoperez15'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:2011-06-30
- Verification:No
- Location:Uruguay
Data Summary
- Tweets Analyzed:256
- Avg Likes per Tweet:137.3
- Avg Retweets per Tweet:41.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 256 tweetsThe account shows consistent engagement with an average of over 2,000 likes per tweet, indicating a loyal and active follower base. Retweets are relatively low, suggesting that followers are more likely to like rather than share content.
137.3
Avg Likes/Tweet
41.8
Avg Retweets/Tweet
35,151
Total Likes
10,692
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
13
Median Retweets
107
75th Percentile
5,890
Top Tweet
0.88
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.0%
Original
10.5%
Replies
16.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
52.7%
With Links
12.5%
With #Tags
34.0%
With @Mentions
22.7%
With Emojis
84
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 256 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 42 retweets (16% 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 256 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 followersThe audience likely includes sports enthusiasts, fans of the 2011 America championship, and individuals interested in the user's personal updates or achievements. The audience may also be interested in regional content, given the presence of Uruguay-related links.
Average
Audience Quality
33.0%
Suspicion Index
48.4%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.5%
Empty Bio
49.6%
<10 Tweets
4.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
33.3%
<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.
31,898,219
Total Potential Reach
12
Median Follower Reach
52
75th Percentile Reach
1.7%
>1K followers
0.2%
>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).
25.5%
Creators
12,738 accounts
24.9%
Consumers
12,451 accounts
49.6%
Dormant
24,811 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):
29
Verified Followers
0.03% of total
5,977
Protected Accounts
5.92% 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 |
|---|---|---|---|
| @JohnCena | 14,099,665 | Wrestler | Wrestling, Motivation, Self-promotion |
| @sportv | 4,080,591 | Sports Broadcaster | Football, Fitness, Basketball |
| @Variety | 2,911,240 | Entertainment industry | Entertainment, Business, Variety |
| @VarskySports | 2,063,479 | - | - |
| @CONMEBOL | 1,921,721 | Football Organization | Football, South America, History |
| @Ligue1_ENG | 1,049,763 | Sports Media | Football, French league, Champions Trophy |
| @Uruguay | 928,871 | Sports Team | Uruguayan football, national team, official account |
| @elpaisuy | 826,689 | News outlet | News, Uruguay, Telegram |
| @benitoysolange | 819,185 | Chef | Solange, pescados, mariscos |
| @diegogodin | 660,460 | Footballer | Football, Cagliari, Uruguay |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,053
Followers With Bio
66,940
Followers Without Bio
33.72%
% With Bio
66.28%
% 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 256 analyzed19,031
Combined Engagement
18,474
Total Likes
557
Total Retweets
3,806
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/8AJaxE7jY9
🇺🇾 https://t.co/i8xBq4JBfZ
GRACIAS 🇺🇾 https://t.co/OdUHvnDdsa
Fue un honor haber compartido tantos momentos juntos. Sos un referente dentro y fuera de la cancha y un orgullo para todos los Uruguayos. Te deseo lo mejor para esta nueva etapa. @DiegoForlan7 https://t.co/siOpOh97Ai
#NuevaFotoDePerfil https://t.co/NBPOI9CrNv
Key Insights & Takeaways
The user frequently shares links to Uruguay-related content, indicating a possible regional focus or personal connection to Uruguay. The account has a mix of personal and possibly promotional content, given the presence of both achievements and links. The user's profile is not verified, which may affect the perceived credibility or authority of the account.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 203,733
- + 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 @rusoperez15 reveals an well-established Twitter presence with 203,733 followers. The account demonstrates a content-creator strategy, averaging 179.1 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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