Luis Angel “El Flaco”
#UnaJulio70 https://www.youtube.com/watch?v=BdecmcVmhvY&feature=youtu.be 🥃🍻
230,606
Followers
1,875
Following
17,453
Tweets
115.0
Avg Engagement
202
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @luisangelelfla'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:2011-04-18
- Verification:No
- Location:Mazatlán, Sinaloa
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:94.5
- Avg Retweets per Tweet:20.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,146 tweetsHer tweets receive an average of 457 likes and 85 retweets, indicating moderate to high engagement. The content is likely shared and appreciated by her followers.
94.5
Avg Likes/Tweet
20.4
Avg Retweets/Tweet
297,419
Total Likes
64,219
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
93
Median Likes
20
Median Retweets
165
75th Percentile
660
Top Tweet
0.5
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.1%
Original
0.3%
Replies
22.4%
Retweets
6.2%
Quotes
0.0%
Threads
0.0%
With Media
81.0%
With Links
33.6%
With #Tags
27.2%
With @Mentions
40.7%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.5%
Weekday Posts
23.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 706 retweets (22% 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 3,146 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 followersHer audience appears to be interested in art, lifestyle, and entertainment. The use of emojis and casual language suggests a younger, more casual demographic.
Average
Audience Quality
34.8%
Suspicion Index
43.9%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.0%
Empty Bio
53.8%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
75.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
38.7%
<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.
12,428,032
Total Potential Reach
4
Median Follower Reach
22
75th Percentile Reach
1.2%
>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).
24.3%
Creators
12,128 accounts
21.9%
Consumers
10,957 accounts
53.8%
Dormant
26,915 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):
35
Verified Followers
0.03% of total
11,234
Protected Accounts
11.12% 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 |
|---|---|---|---|
| @GalileaMontijo | 7,301,838 | TV Host | TV host, actress, Instagram |
| @benlandis | 2,848,350 | - | - |
| @programa_hoy | 2,294,984 | TV Hosts | Entertainment, Television, Morning Show |
| @ElGordoyLaFlaca | 2,028,488 | Entertainment TV | entertainment, TV show, Hispanic culture |
| @LeonKrauze | 1,584,330 | Journalist | TV, Journalism, Podcasts |
| @LeBronJames | 1,004,897 | - | - |
| @BartBaker | 957,418 | Content Creator | Crypto, China, Music |
| @MontseYJoe | 937,996 | TV Hosts | TV, Entretenimiento, Amistad |
| @cynthiaoficial | 876,769 | Sales | ventas, contact, marketing |
| @Chiquis626 | 631,826 | Singer | Entrepreneur, Author, Philanthropist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,788
Followers With Bio
52,209
Followers Without Bio
48.31%
% With Bio
51.69%
% 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 3,146 analyzed2,811
Combined Engagement
2,432
Total Likes
379
Total Retweets
562
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Gente: es artista come en lugares finos El artista: https://t.co/kzAEdx3J10
Mis oraciones para toda la gente de Guatemala, Es impresionante ver estas imágenes y esto nos reafirma que ante la naturaleza no somos quién para enfrentarla, #FuerzaGuatemala https://t.co/MwJjCUA0he
🕺🏻 🕺🏻 https://t.co/YdkLdVLNJH
Y todo mi amor se convierte en desprecio... https://t.co/c4BsYEQ4mB
Alguien pidió un Uber? https://t.co/eoL3J9cS5B
Key Insights & Takeaways
She frequently shares links to external content, suggesting a focus on promoting or sharing specific material. Her use of emojis and casual language indicates a more informal and relatable tone. Her content often blends humor with lifestyle and artistic themes, which may drive engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 230,606
- + 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 @luisangelelfla reveals an well-established Twitter presence with 230,606 followers. The account demonstrates a content-creator strategy, averaging 115.0 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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