Hugo Perez
🇺🇸| Former USA 1991 MVP. USA 1990&1994 FIFA World Cup team | 🇸🇻⚽️| Director técnico de @laselecta_SLV
30,878
Followers
295
Following
1,759
Tweets
252.5
Avg Engagement
78
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HugoPerezDT'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:2013-02-10
- Verification:No
- Location:San Francisco, CA
Data Summary
- Tweets Analyzed:593
- Avg Likes per Tweet:229.8
- Avg Retweets per Tweet:22.8
- Followers Analyzed:29,282
Engagement Analysis
Based on 593 tweetsHis tweets receive an average of 3,715 likes and 274 retweets, indicating a highly engaged audience. The content is well-received, with many followers expressing pride in the team's efforts.
229.8
Avg Likes/Tweet
22.8
Avg Retweets/Tweet
136,257
Total Likes
13,494
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
96
75th Percentile
9,551
Top Tweet
8.18
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
20.1%
Original
20.7%
Replies
47.6%
Retweets
11.6%
Quotes
0.0%
Threads
0.7%
With Media
28.8%
With Links
12.3%
With #Tags
73.0%
With @Mentions
19.9%
With Emojis
124
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 593 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 282 retweets (48% 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 593 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 29,282 followersHis audience primarily consists of football fans and supporters of the Salvadoran national team. They are likely interested in team updates, player performances, and behind-the-scenes insights.
Average
Audience Quality
21.0%
Suspicion Index
25.2%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.7%
Empty Bio
18.5%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
47.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
11.8%
<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.
46,684,248
Total Potential Reach
50
Median Follower Reach
200
75th Percentile Reach
6.1%
>1K followers
1.0%
>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).
63.1%
Creators
18,479 accounts
18.4%
Consumers
5,384 accounts
18.5%
Dormant
5,419 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):
270
Verified Followers
0.92% of total
3,582
Protected Accounts
12.23% 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 |
|---|---|---|---|
| @FIFAWorldCup | 12,468,246 | Sports Organization | Soccer, International, Tournament |
| @alaa_saeed88 | 2,581,355 | Athlete | Sports, Snapchat, YouTube |
| @6BillionPeople | 2,038,025 | - | - |
| @miguelhotero | 1,927,632 | Journalist | Politics, Journalism, Leadership |
| @TheSteinLine | 1,456,069 | Sports Journalist | NBA, correspondent, dad |
| @fernandopalomo | 1,225,007 | Sports commentator | Sports, Journalism, Broadcasting |
| @prensagrafica | 1,046,224 | News outlet | News, El Salvador, Journalism |
| @LeBronJames | 1,006,039 | - | - |
| @espnsutcliffe | 939,996 | Sports Reporter | Sports, Reporting, Contact |
| @LuisOmarTapia | 894,222 | Sports commentator | Soccer, Champions League, Commentator |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,949
Followers With Bio
11,333
Followers Without Bio
61.3%
% With Bio
38.7%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 593 analyzed26,819
Combined Engagement
24,866
Total Likes
1,953
Total Retweets
5,364
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Quiero agradecer a todos nuestros seguidores, por todo el apoyo hacia la SELECTA, esperamos poder mejorar lo que se a hecho hasta hoy, y también a todos nuestros jugadores felicitarlos por el esfuerzo y valentía de creer que con trabajo, si se puede competir viva ES
Hemos aprendido a competir, falta mucho por trabajar pero estoy orgulloso de este grupo de jugadores y más de representar estos lindos colores de El Salvador 🇸🇻
Gracias a Dios por el trabajo de nuestros jugadores anoche, es de aplaudir cuando juegan de esa manera, sientanse orgullos de la manera que ayer salieron a competir, bendiciones a todos
🇸🇻 Cerraremos en el Estadio Azteca, con mucha responsabilidad, compromiso y entrega por El Salvador https://t.co/Z4RknDbuIy
Hoy lucharemos desde el minuto 1 por conseguir la victoria 🇸🇻
Key Insights & Takeaways
He emphasizes the importance of fan support and team improvement He celebrates player performances and the team's progress He fosters a sense of pride and unity among followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 30,878
- + High community engagement through conversations
- + 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 @HugoPerezDT reveals an well-established Twitter presence with 30,878 followers. The account demonstrates a conversation-first approach, averaging 252.5 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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