Martín Campaña
Twitter oficial de Martín Campaña. Jugador de fútbol: selección de Uruguay
52,078
Followers
300
Following
664
Tweets
746.6
Avg Engagement
102
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mcampi25'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:2014-11-03
- Verification:No
- Location:Montevideo, Uruguay
Data Summary
- Tweets Analyzed:647
- Avg Likes per Tweet:630.3
- Avg Retweets per Tweet:116.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 647 tweetsHis tweets typically receive around 7,000 likes and 1,467 retweets on average, indicating a highly engaged fan base.
630.3
Avg Likes/Tweet
116.3
Avg Retweets/Tweet
407,805
Total Likes
75,237
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
6
Median Retweets
765
75th Percentile
14,315
Top Tweet
14.34
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
60.0%
Original
21.0%
Replies
18.4%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
67.5%
With Links
28.3%
With #Tags
57.3%
With @Mentions
31.2%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 647 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 (18% 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 647 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 followersHis audience primarily consists of football fans, especially supporters of the Uruguayan national team, and fans of his personal brand.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
100.0%
<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.
42,974,471
Total Potential Reach
33
Median Follower Reach
152
75th Percentile Reach
4.1%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,008
Protected Accounts
10.08% of total
7 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 |
|---|---|---|---|
| @LuisSuarez9 | 17,684,389 | Footballer | Football, Uruguay, Inter Miami CF |
| @JohnCena | 14,097,170 | Wrestler | Wrestling, Motivation, Self-promotion |
| @VarskySports | 2,069,312 | - | - |
| @espnsutcliffe | 943,060 | Sports Reporter | Sports, Reporting, Contact |
| @Darwinn99 | 675,126 | Footballer | Football, Uruguay, Liverpool |
| @metroadelantado | 652,350 | Youtuber | YouTube, Metro, Adelantado |
| @CopaAmerica | 627,475 | Sports Organizer | Soccer, Tournament, History |
| @TigoSportsPY | 562,564 | Sports Content | Deportes, Contenidos, Paraguay |
| @LTorreira34 | 517,483 | Footballer | Football, Atlético Madrid, Uruguay |
| @MartinCharquero | 441,038 | Periodista | fútbol, periodismo, crossfit |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,162
Followers With Bio
3,838
Followers Without Bio
61.62%
% With Bio
38.38%
% 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 647 analyzed49,640
Combined Engagement
40,962
Total Likes
8,678
Total Retweets
9,928
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Orgulloso de ustedes y los que estaban desesperados por entrar!!! Esto sigue!!! Unidos siempre... https://t.co/uOOIMF1r9h
https://t.co/o79IHLyHKO
Salud campeón!!! https://t.co/u7VZQhF1r3
Te falto subir este @LuisSuarez9 😂 https://t.co/e9KxYbERRn
#NuevaFotoDePerfil https://t.co/2fC0RNvGJk
Key Insights & Takeaways
He frequently shares motivational messages and team spirit content His tweets often include links to photos and updates about his career He emphasizes unity and dedication to the team and fans
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,078
- + 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 @mcampi25 reveals an well-established Twitter presence with 52,078 followers. The account demonstrates a content-creator strategy, averaging 746.6 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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