FÚTBOL ARGENTINO 🇦🇷
⭐️⭐️⭐️ Gasti Hirsch. La vida dedicada al fútbol. ESPN, Flashscore, 90Min. Enfermo de Quilmes Atlético Club y Lionel Andrés Messi. 🧉
296,611
Followers
3,839
Following
21,598
Tweets
3,601.2
Avg Engagement
506
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TodaLaPrimeraA'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:2010-05-29
- Verification:No
- Location:Argentina
Data Summary
- Tweets Analyzed:3,180
- Avg Likes per Tweet:3,122.8
- Avg Retweets per Tweet:478.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,180 tweetsThe account has high engagement with an average of 180,883 likes and 22,923 retweets per tweet, indicating a highly interactive audience.
3,122.8
Avg Likes/Tweet
478.3
Avg Retweets/Tweet
9,930,651
Total Likes
1,521,148
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
185
Median Likes
52
Median Retweets
1,174
75th Percentile
361,309
Top Tweet
12.14
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
65.1%
Original
25.2%
Replies
7.2%
Retweets
2.5%
Quotes
0.0%
Threads
0.0%
With Media
70.9%
With Links
3.8%
With #Tags
34.1%
With @Mentions
31.3%
With Emojis
111
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.6%
Weekday Posts
22.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,180 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 229 retweets (7% 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 3,180 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 is primarily interested in football, sports media, and celebrity culture, with a focus on Argentina and Messi-related content.
Average
Audience Quality
25.1%
Suspicion Index
32.4%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.8%
Empty Bio
29.6%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
55.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
20.1%
<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.
16,560,565
Total Potential Reach
20
Median Follower Reach
113
75th Percentile Reach
3.3%
>1K followers
0.3%
>10K followers
0.1%
>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).
50.2%
Creators
25,078 accounts
20.3%
Consumers
10,136 accounts
29.6%
Dormant
14,786 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):
211
Verified Followers
0.21% of total
10,611
Protected Accounts
10.61% of total
4 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 |
|---|---|---|---|
| @miguelhotero | 1,929,128 | Journalist | Politics, Journalism, Leadership |
| @la12tuittera | 1,473,951 | Sports Fan | Boca Juniors, Twitter, humor |
| @pablitolescano | 925,657 | Musician | Damas Gratis, Contratar, Facebook |
| @barilirodolfo | 753,669 | Periodista | Periodismo, San Lorenzo, Paternidad |
| @Juakoooo | 706,101 | Content Creator | Bostero, Oxey army, Creador de contenido |
| @BadabunOficial | 408,020 | Entertainment | entretenimiento, crecimiento, México |
| @Leaobutron | 378,948 | Futbolista | Futbol, Administración, Entrenador |
| @CamiloRomero | 328,339 | Politician | Politics, Family, Environment |
| @fanaticosfutbo | 313,149 | - | - |
| @maurivesprini | 254,789 | Influencer | Coca Cola, decisiones, vida |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,521
Followers With Bio
40,479
Followers Without Bio
59.52%
% With Bio
40.48%
% 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 3,180 analyzed1,153,048
Combined Engagement
1,052,753
Total Likes
100,295
Total Retweets
230,610
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Hilo con las mejores fotos del mejor día de nuestras vidas. Arranco. https://t.co/pu8Uiv4X87
LA ARAÑA QUE PICA 🕷 https://t.co/fGuUOgyX1Y
Post sexo. https://t.co/w49OsGcHyU
Es el peor árbitro que vi en mi vida. Un escándalo.
https://t.co/8jxhgZxBBf
Key Insights & Takeaways
The account frequently shares personal and emotional content, such as posts about relationships and personal experiences. It has a strong connection to specific football clubs and players, particularly Quilmes Atlético Club and Lionel Messi. The content includes a mix of sports analysis, personal stories, and controversial opinions, which drives engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 296,611
- + 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 @TodaLaPrimeraA reveals an exceptionally influential Twitter presence with 296,611 followers. The account demonstrates a content-creator strategy, averaging 3,601.2 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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