Abel Aguilar
Mundialista 🇨🇴 Entrenador de fútbol Profesional ⚽️ Empresario
868,740
Followers
270
Following
1,608
Tweets
302.2
Avg Engagement
698
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @abelaguilart'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:2011-11-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,488
- Avg Likes per Tweet:144.9
- Avg Retweets per Tweet:157.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,488 tweetsHis tweets receive high engagement, with an average of 10,248 likes and 1,941 retweets per tweet, indicating strong audience interaction.
144.9
Avg Likes/Tweet
157.3
Avg Retweets/Tweet
215,583
Total Likes
234,049
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
82
75th Percentile
60,008
Top Tweet
0.35
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
33.5%
Original
16.1%
Replies
49.9%
Retweets
0.5%
Quotes
0.0%
Threads
0.0%
With Media
21.8%
With Links
16.7%
With #Tags
76.4%
With @Mentions
25.1%
With Emojis
100
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.48
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,488 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 742 retweets (50% 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 1,488 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 followersHis followers are likely football fans, Colombians, and individuals interested in leadership and national identity.
Below Average
Audience Quality
40.8%
Suspicion Index
55.9%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.7%
Empty Bio
65.2%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
84.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
50.0%
<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.
25,144,840
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.3%
>1K followers
0.2%
>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).
17.1%
Creators
8,562 accounts
17.7%
Consumers
8,858 accounts
65.2%
Dormant
32,580 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):
83
Verified Followers
0.08% of total
5,180
Protected Accounts
5.13% 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 |
|---|---|---|---|
| @JohnCena | 14,105,375 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,036,972 | - | - |
| @SoccerKingJP | 1,351,587 | Sports Journalist | soccer, YouTube, sports |
| @Reportero24 | 945,319 | - | - |
| @fifaworldcup_pt | 856,892 | Sports Media | Soccer, World Cup, FIFA |
| @fuedicho | 796,395 | Writer | Frases, versos, refranes |
| @byAngelicaC | 705,659 | TV Host | Sports, Entrepreneur, Miami |
| @CanalCapital | 629,128 | Media | - |
| @AngelicaLozanoC | 527,661 | Politician | Activismo, Mujeres, Colombia |
| @djkingassassin | 474,440 | DJ | Music, Club, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,610
Followers With Bio
59,387
Followers Without Bio
41.2%
% With Bio
58.8%
% 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 1,488 analyzed125,040
Combined Engagement
67,597
Total Likes
57,443
Total Retweets
25,008
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Falcao SIEMPRE, NOJODA... SIEMPRE ⚽️🇨🇴
RT @marianapajon: Muy frustrante ver que en el mejor momento del deporte Colombiano tengamos un recorte del 67% de presupuesto #NoRecortenM…
SIEMPRE UNIDOS, CON FE, CON HUMILDAD... TODO POR NUESTRO PAÍS 🇨🇴 GRACIAS A DIOS!!! https://t.co/PaLhpEvizi
RT @jamesdrodriguez: Pasan los años y es imposible no emocionarse. 🇨🇴 https://t.co/pxeOXbgDJZ
RT @jamesdrodriguez: Esto es Colombia Carajo ! 🇨🇴🇨🇴🇨🇴lucha y entrega. Gracias muchachos. https://t.co/9LQDySeZVE
Key Insights & Takeaways
He uses emotional and patriotic language to connect with his audience His content emphasizes unity, humility, and dedication to Colombia He positions himself as a leader and motivator, inspiring his followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 868,740
- + 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 @abelaguilart reveals an well-established Twitter presence with 868,740 followers. The account demonstrates a content-creator strategy, averaging 302.2 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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