Lucas Beltramo
Periodista. Panelista de Presión Alta y Dale al medio en @tycsports. Editor en @mdzol.
209,407
Followers
3,426
Following
10,666
Tweets
1,443.6
Avg Engagement
442
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LucasBeltramo'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:2010-01-11
- Verification:No
- Location:Argentina
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:1,265.6
- Avg Retweets per Tweet:178.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
1,265.6
Avg Likes/Tweet
178.0
Avg Retweets/Tweet
4,109,498
Total Likes
577,917
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
263
Median Likes
18
Median Retweets
1,436
75th Percentile
56,051
Top Tweet
6.89
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
59.1%
Original
31.8%
Replies
4.2%
Retweets
4.8%
Quotes
0.0%
Threads
0.0%
With Media
70.5%
With Links
5.1%
With #Tags
42.8%
With @Mentions
15.5%
With Emojis
186
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
1.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.6%
Weekday Posts
34.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 137 retweets (4% 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 3,247 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 audience primarily consists of sports fans and media consumers interested in sports analysis and commentary.
Average
Audience Quality
30.4%
Suspicion Index
40.1%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
41.4%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
65.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
30.2%
<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.
21,387,147
Total Potential Reach
8
Median Follower Reach
57
75th Percentile Reach
2.1%
>1K followers
0.3%
>10K followers
0.1%
>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).
36.8%
Creators
18,397 accounts
21.8%
Consumers
10,880 accounts
41.4%
Dormant
20,723 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):
80
Verified Followers
0.08% of total
8,419
Protected Accounts
8.34% 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 |
|---|---|---|---|
| @TyCSports | 3,908,614 | Sports broadcaster | Deporte, Canal, Eventos en vivo |
| @ElMiyashiro | 2,214,098 | Actor | Sports, TV, Comedy |
| @miguelhotero | 1,929,497 | Journalist | Politics, Journalism, Leadership |
| @elchatoprada | 1,484,413 | Entertainment | Showmatch, Canta Conmigo, Independiente |
| @la12tuittera | 1,475,256 | Sports Fan | Boca Juniors, Twitter, humor |
| @SoyPaganiok | 1,261,134 | Sports Journalist | Cars, Design, Luxury |
| @primiciasyacom | 1,158,517 | Entertainment journalist | Entertainment, Showbiz, Journalism |
| @lbertozzi | 652,832 | Sports Journalist | Futebol internacional, ESPN Brasil, Fox Sports Brasil |
| @Qatari | 570,222 | Lawyer | Real Madrid, PSG, Arsenal |
| @polloalvarezok | 568,000 | TV Host | TV, Family, Soccer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,865
Followers With Bio
44,130
Followers Without Bio
56.3%
% With Bio
43.7%
% 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 3,247 analyzed222,867
Combined Engagement
145,853
Total Likes
77,014
Total Retweets
44,573
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @afa: #NuevaFotoDePerfil https://t.co/wcQ7O2mop0
Los hinchas más tranquilos tras la clasificación a semis: https://t.co/7OfLP2EHod
Y cuando la canción comenzaba a irse de tu cabeza, aparece este video completo del hincha que emocionó a todos, compartido por @gabrielmalito, el director de cámaras paraguayo de la final de la @Sudamericana. https://t.co/N0Y9FDlVlg
La saga de la “abuela, la, la, la, la, la”. https://t.co/fMHZul2Egd
El mejor ángulo. https://t.co/d1fogHqq9X
Key Insights & Takeaways
His content often includes links to videos and articles, suggesting a focus on multimedia storytelling. He collaborates with other influencers and media outlets, expanding his reach and credibility. His tweets highlight emotional and dramatic moments, indicating a focus on engaging and impactful storytelling.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 209,407
- + 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 @LucasBeltramo reveals an exceptionally influential Twitter presence with 209,407 followers. The account demonstrates a content-creator strategy, averaging 1,443.6 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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