Martin Cauteruccio
De Montevideo, Uruguay. Jugador @independiente 🇺🇾 #CAU7E Prensa/Sponsoreo: @publiepr [email protected]
107,914
Followers
303
Following
2,452
Tweets
315.7
Avg Engagement
204
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mcaute7'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:2011-04-08
- Verification:No
- Location:Argentina
Data Summary
- Tweets Analyzed:2,372
- Avg Likes per Tweet:237.3
- Avg Retweets per Tweet:78.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,372 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
237.3
Avg Likes/Tweet
78.3
Avg Retweets/Tweet
562,897
Total Likes
185,840
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
231
75th Percentile
5,883
Top Tweet
2.93
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
45.7%
Original
13.1%
Replies
39.0%
Retweets
2.2%
Quotes
0.0%
Threads
0.3%
With Media
64.0%
With Links
40.9%
With #Tags
75.3%
With @Mentions
37.5%
With Emojis
110
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.2%
Weekday Posts
31.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,372 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 925 retweets (39% 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 2,372 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 Independiente and other clubs like Cruz Azul and San Lorenzo.
Average
Audience Quality
22.0%
Suspicion Index
25.7%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.3%
Empty Bio
22.0%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
49.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
14.0%
<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.
27,440,840
Total Potential Reach
44
Median Follower Reach
183
75th Percentile Reach
5.2%
>1K followers
0.7%
>10K followers
0.2%
>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).
60.0%
Creators
5,995 accounts
18.0%
Consumers
1,802 accounts
22.0%
Dormant
2,203 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):
15
Verified Followers
0.15% of total
928
Protected Accounts
9.28% 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 |
|---|---|---|---|
| @LuisSuarez9 | 17,673,380 | Footballer | Football, Uruguay, Inter Miami CF |
| @DiarioOle | 3,675,990 | Sports Journalist | Sports, News, Passion |
| @Independiente | 557,427 | Sports Club | Football, Sports, Club |
| @XochitlGalvez | 406,029 | Politician | environment, corruption, soccer |
| @diegobranca | 400,148 | Journalist | Periodista, Futbol, Viajes |
| @Futbol_Mercado | 350,945 | Sports Journalist | Fútbol, Mercado, Fichajes |
| @martinredrado | 186,782 | Economist | Economist, Author, Soccer |
| @fededelia1 | 135,787 | Actor | familia, pincharrata, actor |
| @qacoficial | 100,677 | Sports Club | Football, Tradition, Argentina |
| @evelyncassio | 96,721 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,270
Followers With Bio
3,730
Followers Without Bio
62.7%
% With Bio
37.3%
% 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 2,372 analyzed27,128
Combined Engagement
23,679
Total Likes
3,449
Total Retweets
5,426
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/ZluT3iqIja
¡¡¡Imagínalo, siéntelo y recíbelo!!! ¡Gracias por tener la posibilidad de jugar una final más! ¡¡Siempre para adelante, con todo azules!! #Cau7e #Juntosxla9loria 📸 @Killo_Morales https://t.co/lecx7ZaxRy
💪🏼💪🏼💪🏼 para la gente buena y que trabaja duro su recompensa es inmediata. ¡¡Pasamos a 4tos!! #CopaMX @Cruz_Azul_FC #LlegóLaMáquina #FotoAzul https://t.co/tO8tIobmRd
Ya regresando, felices por estos 3 puntos. ⚽💪 @Chivas 0 - @Cruz_Azul_FC 1 #LlególaMáquina @LIGABancomerMX #Apertura2018 https://t.co/N2P0ntN7HG
Feliz día cuervos... @SanLorenzo https://t.co/Wg5LolHbR4
Key Insights & Takeaways
He emphasizes emotional connection with fans through motivational messages and gratitude. He leverages his personal brand and club affiliations to engage followers. He uses hashtags and mentions other clubs to expand his reach and build community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,914
- + 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 @mcaute7 reveals an well-established Twitter presence with 107,914 followers. The account demonstrates a content-creator strategy, averaging 315.7 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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