Gleyber Torres
Venezuela New York Yankees Instagram:Gleyberdavid
176,549
Followers
133
Following
675
Tweets
2,537.9
Avg Engagement
845
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TorresGleyber'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:2015-02-06
- Verification:No
- Location:Estados Unidos
Data Summary
- Tweets Analyzed:641
- Avg Likes per Tweet:1,848.3
- Avg Retweets per Tweet:689.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 641 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent and reflects a loyal fan base.
1,848.3
Avg Likes/Tweet
689.7
Avg Retweets/Tweet
1,184,747
Total Likes
442,076
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
50
Median Retweets
1,585
75th Percentile
73,740
Top Tweet
14.38
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
39.9%
Original
5.1%
Replies
46.6%
Retweets
8.3%
Quotes
0.0%
Threads
0.8%
With Media
70.4%
With Links
30.7%
With #Tags
69.4%
With @Mentions
43.7%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 641 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 299 retweets (47% 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 641 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 baseball fans, especially Yankees supporters, and people interested in Venezuelan athletes. The audience is engaged and appreciative of his authenticity.
Average
Audience Quality
25.6%
Suspicion Index
31.7%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.6%
Empty Bio
27.9%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
58.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
18.8%
<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.
56,692,286
Total Potential Reach
23
Median Follower Reach
112
75th Percentile Reach
3.6%
>1K followers
0.4%
>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).
49.9%
Creators
24,965 accounts
22.1%
Consumers
11,063 accounts
27.9%
Dormant
13,972 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):
459
Verified Followers
0.45% of total
12,268
Protected Accounts
12.15% 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 |
|---|---|---|---|
| @jimmyfallon | 50,765,454 | Comedian | Comedy, TV, Music |
| @JohnCena | 14,100,536 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CarlosLoret | 9,513,756 | Journalist | Reportero, Columna, Colaborador |
| @FallonTonight | 4,505,601 | - | - |
| @MeridianoTV | 3,100,572 | - | - |
| @elcitizen | 2,900,660 | TV Host | Politics, News, Journalism |
| @MLBNetwork | 2,204,109 | Sports Media | Baseball, Social Media, Giveaways |
| @thereallisaann | 1,996,300 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @CouRageJD | 1,943,849 | Gamer | Gaming, Soup, Merch |
| @greggrunberg | 1,190,224 | Actor | ACTOR, WRITER, BANDS |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,637
Followers With Bio
44,358
Followers Without Bio
56.08%
% With Bio
43.92%
% 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 641 analyzed257,417
Combined Engagement
105,600
Total Likes
151,817
Total Retweets
51,483
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @Cristiano: Proud of my team. Proud of my country. Make them believe. #JustDoIt https://t.co/Zt2iqmDPZQ
RT @realmadrid: 🏆 UEFA Champions League 2017 #CHAMP12NS https://t.co/xDA5RXoIUO
4 years ago today, I got traded to the Yankees. One of the best things that has happened to me. ❤️ NY
Nothing better than the house, we will bring all the good energies, we will defend the concrete jungle again 💯
My First all star video and your first HR 🔥🔥🔥😱 @TheJudge44 https://t.co/9HvWkoKdq9
Key Insights & Takeaways
He frequently shares his excitement and gratitude towards the Yankees and their fans. He emphasizes the importance of the stadium atmosphere and fan support. He uses motivational language to inspire and connect with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 176,549
- + 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 @TorresGleyber reveals an exceptionally influential Twitter presence with 176,549 followers. The account demonstrates a content-creator strategy, averaging 2,537.9 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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