Álex Silvestre
En @elchiringuitoTV y colaboro en @dazn_es
86,815
Followers
2,213
Following
19,382
Tweets
137.9
Avg Engagement
236
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alexsilvestreSZ'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: Mid-Tier (10K+)
- Account Age:2011-05-12
- Verification:No
- Location:Madrid-Valencia-Mallorca
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:115.7
- Avg Retweets per Tweet:22.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and resonates with his followers.
115.7
Avg Likes/Tweet
22.2
Avg Retweets/Tweet
375,914
Total Likes
72,145
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
5
Median Retweets
117
75th Percentile
7,444
Top Tweet
1.59
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
30.7%
Original
5.0%
Replies
30.3%
Retweets
34.0%
Quotes
0.0%
Threads
0.0%
With Media
71.8%
With Links
28.0%
With #Tags
47.2%
With @Mentions
49.2%
With Emojis
110
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
1.12
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 984 retweets (30% 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 3,250 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 10,000 followersHis audience primarily consists of football fans, especially those interested in Spanish and international football news. The content is likely shared by fans of Messi and other top players.
Average
Audience Quality
29.5%
Suspicion Index
38.2%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.9%
Empty Bio
30.8%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
19.4%
<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.
19,167,211
Total Potential Reach
13
Median Follower Reach
75
75th Percentile Reach
3.1%
>1K followers
0.6%
>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).
43.7%
Creators
4,371 accounts
25.5%
Consumers
2,554 accounts
30.8%
Dormant
3,075 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):
33
Verified Followers
0.33% of total
664
Protected Accounts
6.64% 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 |
|---|---|---|---|
| @JohnCena | 14,097,116 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Goyojimenez | 458,537 | Comedian | Humor, Comedia, Stand-up |
| @realjuancgarcia | 371,327 | Actor | Actor, Presentador, Deportista |
| @Peereira7 | 282,982 | Streamer | Fortnite, Twitch, Team Heretics |
| @Ekremkonur | 221,043 | Sports Journalist | Football, Transfers, Journalism |
| @Beisbologo | 200,776 | Sportscaster | Deportes, Periodismo, Baloncesto |
| @migquintana | 181,278 | Sports Journalist | - |
| @GxlDePaulinho | 156,952 | Content Creator | FIVEMediaClan, Barça, Twitch |
| @Nakoo | 144,537 | Professional Gamer | Gaming, eSports, Contact |
| @moillorens | 136,965 | Sports Journalist | Sports, Barcelona, Correspondent |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,309
Followers With Bio
5,691
Followers Without Bio
43.09%
% With Bio
56.91%
% 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 3,250 analyzed32,876
Combined Engagement
30,625
Total Likes
2,251
Total Retweets
6,575
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Nunca veré a alguien tan bueno como él https://t.co/RokSt9wupZ
Ojalá sigamos disfrutando del mejor futbolista de la historia. #Messi https://t.co/mjBisQTTq2
Os entiendo, culés https://t.co/QM9xJQKS2z
Cuando Messi está a este nivel da gusto verle jugar. No hay nadie mejor. https://t.co/WqZownGLMT
21 goles. Y eso que está de capa caída... 😳 https://t.co/4FZFsBtNK0
Key Insights & Takeaways
His tweets often reference Lionel Messi, indicating a strong personal connection or fandom. He uses hashtags to amplify his messages, which helps in increasing visibility and engagement. Collaboration with media outlets suggests he is a credible source in the football journalism space.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,815
- + 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 @alexsilvestreSZ reveals an well-established Twitter presence with 86,815 followers. The account demonstrates a content-creator strategy, averaging 137.9 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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