Rafa
TVHost | Escribo sin dedicatoria | Emmy & TELLY Award winner.
75,579
Followers
1,921
Following
16,789
Tweets
148.7
Avg Engagement
81
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RafaelSerdan'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:2009-10-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:65.9
- Avg Retweets per Tweet:82.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive an average of 2,324 likes and 203 retweets, indicating a highly engaged audience.
65.9
Avg Likes/Tweet
82.8
Avg Retweets/Tweet
214,037
Total Likes
268,858
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
91
75th Percentile
173,600
Top Tweet
1.97
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
36.5%
Original
48.9%
Replies
11.8%
Retweets
2.8%
Quotes
0.0%
Threads
0.0%
With Media
20.2%
With Links
20.6%
With #Tags
64.8%
With @Mentions
49.6%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.34
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.2%
Weekday Posts
29.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 383 retweets (12% 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 3,248 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 likely includes fans of his TV shows, award-winning work, and followers interested in entertainment and media.
Average
Audience Quality
28.9%
Suspicion Index
30.6%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.6%
Empty Bio
24.7%
<10 Tweets
20.9%
Mass Following (>2K)
0.0%
New (<90 days)
62.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
15.6%
<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.
28,584,946
Total Potential Reach
38
Median Follower Reach
164
75th Percentile Reach
5.7%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.9%
Creators
5,385 accounts
21.5%
Consumers
2,146 accounts
24.7%
Dormant
2,469 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):
39
Verified Followers
0.39% of total
1,640
Protected Accounts
16.4% of total
5 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 | 14,097,206 | Wrestler | Wrestling, Motivation, Self-promotion |
| @VengaLaAlegria | 2,100,055 | TV Host | Entertainment, Information, Morning Show |
| @RicardoBSalinas | 1,366,469 | Entrepreneur | politics, anti-government, power |
| @GutyCarreraT | 789,837 | Opinionista | Opinion, Racing, Personal |
| @Radiohen | 735,249 | Journalist | News, Radio, Journalism |
| @carolina_rocha_ | 567,567 | Reporter | Periodismo, viajes, cultura |
| @LeandroTaub | 566,357 | Actor | Films, Podcast, Books |
| @THE_THEO_FORD | 474,353 | - | - |
| @Horacitu | 384,592 | Entertainment | Farandula, TV, Teatro |
| @ElPesoPluma | 352,027 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,441
Followers With Bio
4,559
Followers Without Bio
54.41%
% With Bio
45.59%
% 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 3,248 analyzed227,697
Combined Engagement
10,199
Total Likes
217,498
Total Retweets
45,539
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @KMbappe: The king of football has left us but his legacy will never be forgotten. RIP KING 💔👑… https://t.co/F55PrcM2Ud
RT @Pontifex_es: Expreso mi dolor y consternación por el asesinato en #México, anteayer, de dos religiosos jesuitas y de un laico. ¡Cuántos asesinatos en México! La violencia no resuelve los problemas, sino que solo aumenta los sufrimientos innecesarios.
RT @salvemosarafita: ♥️♥️♥️Amor de padre♥️♥️♥️♥️ Hola a todos. Acudo a todos ustedes de esta forma pública para pedirles ayuda con mucha humildad y el corazón en la mano... https://t.co/w81bK083oU
RT @CarmenSalinasLo: https://t.co/UdUlvgJCPo
Back2Basics 💪🏼 https://t.co/hcnWRklB6V
Key Insights & Takeaways
His top tweets often include links to videos and events, suggesting a focus on visual and event-based content. He uses hashtags like #LaAcademiaGranFinal, indicating involvement in award shows or events. His verified status is low, which may suggest a focus on organic growth and personal branding.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,579
- + 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 @RafaelSerdan reveals an well-established Twitter presence with 75,579 followers. The account demonstrates a conversation-first approach, averaging 148.7 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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