Carrica
🇦🇷
82,177
Followers
347
Following
7,346
Tweets
472.5
Avg Engagement
27
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matiascarrica'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:2010-07-06
- Verification:No
- Location:Argentina
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:42.2
- Avg Retweets per Tweet:430.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,178 tweetsTheir tweets receive a high number of likes and retweets on average, indicating strong audience interaction. They often share content that resonates emotionally with their followers.
42.2
Avg Likes/Tweet
430.3
Avg Retweets/Tweet
134,094
Total Likes
1,367,449
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
3
Median Retweets
61
75th Percentile
145,992
Top Tweet
5.75
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
57.5%
Original
17.6%
Replies
16.8%
Retweets
8.1%
Quotes
0.0%
Threads
0.1%
With Media
44.8%
With Links
24.6%
With #Tags
47.8%
With @Mentions
57.7%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 535 retweets (17% 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 3,178 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 followersTheir audience is mainly from South America, with a global reach due to the nature of their tweets. They engage with users across different countries and regions.
Below Average
Audience Quality
38.8%
Suspicion Index
55.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.8%
Empty Bio
66.4%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
76.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
52.1%
<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.
9,706,265
Total Potential Reach
1
Median Follower Reach
11
75th Percentile Reach
1.8%
>1K followers
0.3%
>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).
19.3%
Creators
1,932 accounts
14.3%
Consumers
1,431 accounts
66.4%
Dormant
6,637 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):
10
Verified Followers
0.1% of total
582
Protected Accounts
5.82% 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 |
|---|---|---|---|
| @capturebizarre | 2,436,763 | Entertainment | Entertainment, Leader, Bizarre |
| @SiriouslySusan | 1,763,428 | Voice Actor | Voice acting, singing, speaking |
| @JDaIey | 1,246,238 | - | - |
| @DanielNewman | 806,556 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @SoundHub | 444,406 | Record Label | Music, Recording, Development |
| @Inspiras_ | 407,984 | Magazine Editor | Positividad, Lifestyle, Posible |
| @GustavoEPereira | 292,241 | Unknown | - |
| @spotifyartists | 174,094 | Music Promotion | music, legends, industry insiders |
| @BocaFutFemenino | 150,122 | Sports Journalist | soccer, Boca Juniors, women's sports |
| @MontanaCWR | 126,789 | Radio Host | Hip Hop, Radio, Global Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,121
Followers With Bio
5,879
Followers Without Bio
41.21%
% With Bio
58.79%
% 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 3,178 analyzed445,430
Combined Engagement
0
Total Likes
445,430
Total Retweets
89,086
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @QHaRi: Hola humanos, soy el Coronavirus: Voy a explicarles por qué me va tan bien conquistando el mundo. Abro hilo 👇🏼 (basado en artículos de especialistas) https://t.co/HObofDpgB2
RT @FCBarcelona_es: ÚLTIMA HORA | Leo Messi no seguirá ligado al FC Barcelona
RT @emimartinezz1: Le pude hacer upa 🏆 https://t.co/NxiSln1pWH
RT @delpotrojuan: Apoyemos a @manuginobili que merece ir de nuevo al #AllStar y mucho más. #NBAVote Manu Ginobili 🏀🙌 Cada RT es un voto! // Let’s all support @manuginobili. He deserves to be in the #AllStar once again, and much more!! Please RT!!
RT @Ieomessiok: https://t.co/FcTQvEgDjo
Key Insights & Takeaways
They use location tags to connect with followers from different countries Their tweets often include calls to action and hashtags for social causes They leverage real-time events to drive engagement and awareness
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 82,177
- + 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 @matiascarrica reveals an well-established Twitter presence with 82,177 followers. The account demonstrates a content-creator strategy, averaging 472.5 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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