Daniel Pérez
Periodista Deportivo, con Dios todo se puede y con un ángel en el cielo MSFC ❤️
96,205
Followers
923
Following
39,756
Tweets
72.2
Avg Engagement
291
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dperezdeportes'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:2010-06-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:54.9
- Avg Retweets per Tweet:17.3
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,241 tweetsThe account maintains a steady level of engagement with an average of 1,662 likes and 292 retweets per tweet. The content is well-received and often shared within the sports community.
54.9
Avg Likes/Tweet
17.3
Avg Retweets/Tweet
177,954
Total Likes
56,091
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
41
75th Percentile
8,318
Top Tweet
0.75
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
38.1%
Original
40.0%
Replies
14.7%
Retweets
7.1%
Quotes
0.0%
Threads
0.0%
With Media
21.6%
With Links
12.2%
With #Tags
80.8%
With @Mentions
15.9%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 478 retweets (15% 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 3,241 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 10,999 followersThe audience is primarily interested in Colombian football and sports journalism. They engage with content that includes player analysis, match commentary, and discussions on sports controversies.
Average
Audience Quality
31.0%
Suspicion Index
35.3%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.7%
Empty Bio
35.1%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
74.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
22.9%
<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.
18,034,475
Total Potential Reach
12
Median Follower Reach
64
75th Percentile Reach
3.0%
>1K followers
0.4%
>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).
40.7%
Creators
4,481 accounts
24.1%
Consumers
2,653 accounts
35.1%
Dormant
3,865 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):
17
Verified Followers
0.15% of total
651
Protected Accounts
5.92% 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 | 14,093,343 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Matador000 | 488,403 | Caricaturist | Caricatures, Art, Humor |
| @fanaticosfutbo | 312,796 | - | - |
| @tulioagomez | 217,088 | Football Manager | fútbol, campeonatos, cantera |
| @MorelDLeon | 127,325 | - | - |
| @lorenamar__ | 115,051 | Influencer | self-love, beauty, Instagram |
| @Soy_Del_Futbol | 112,206 | Interior Designer | Real Madrid, Football, Lifestyle |
| @democratwico | 109,345 | Politician | Politics, Activism, Community |
| @RalphyOficial | 99,633 | Radio Director | Music, Afro-Caribbean, Radio |
| @FutbolVipCol | 85,741 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,751
Followers With Bio
5,248
Followers Without Bio
52.29%
% With Bio
47.71%
% 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 3,241 analyzed19,267
Combined Engagement
502
Total Likes
18,765
Total Retweets
3,853
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @FitoPaezMusica: Nadie puede y nadie debe vivir sin amor!
RT @FALCAO: Yo fui el que quedó libre de River el 30 de junio del 2009 y volví a firmar contrato en julio del mismo año para que River me vendiera a porto y ganara dinero. https://t.co/QtkwKZL3q1
RT @lcvelez: #UnaEstupidezEs creer que un pésimo alcalde puede ser un gran presidente
RT @realmadrid: 📋✅ ¡Nuestro 𝗫𝗜 inicial 🆚 @RCCelta! @UnicajaBanco | #CeltaRealMadrid https://t.co/2ZHkiNMyC2
Ayuda por favor !! https://t.co/4T5V1IJBKH
Key Insights & Takeaways
The account frequently covers player controversies and performances, which drives engagement. It emphasizes personal and religious elements, which adds a unique tone to the content. The use of specific player names and teams indicates a targeted focus on Colombian football.
Strengths
- + Established follower base of 96,205
- + 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 @dperezdeportes reveals an growing Twitter presence with 96,205 followers. The account demonstrates a conversation-first approach, averaging 72.2 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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