Claudio Rodriguez
Contrataciones: claudiorodriguez@hotmail.com
517,446
Followers
271,557
Following
12,360
Tweets
144.1
Avg Engagement
1,109
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @soyclaudiotv'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:2009-10-25
- Verification:No
- Location:por ahi ando...
Data Summary
- Tweets Analyzed:3,149
- Avg Likes per Tweet:110.8
- Avg Retweets per Tweet:33.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,149 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in her content.
110.8
Avg Likes/Tweet
33.4
Avg Retweets/Tweet
348,758
Total Likes
105,141
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
52
Median Likes
8
Median Retweets
137
75th Percentile
10,060
Top Tweet
0.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
80.4%
Original
3.2%
Replies
15.8%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
61.4%
With Links
47.5%
With #Tags
35.6%
With @Mentions
6.6%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,149 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 496 retweets (16% 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 3,149 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 followersHer audience appears to be primarily fans of her work and followers interested in entertainment news and personal updates.
Average
Audience Quality
29.3%
Suspicion Index
38.3%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.7%
Empty Bio
40.5%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
28.8%
<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.
34,091,190
Total Potential Reach
10
Median Follower Reach
58
75th Percentile Reach
2.2%
>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).
38.2%
Creators
19,110 accounts
21.3%
Consumers
10,649 accounts
40.5%
Dormant
20,241 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):
165
Verified Followers
0.16% of total
7,525
Protected Accounts
7.45% 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 |
|---|---|---|---|
| @mariobautista_ | 5,422,651 | Musician | Music, Mexico, Social Media |
| @syntekoficial | 4,563,507 | - | - |
| @telehit_musica | 4,325,793 | Music Channel | Music, Artists, Passion |
| @programa_hoy | 2,295,254 | TV Hosts | Entertainment, Television, Morning Show |
| @Fer_DelSolar | 2,168,767 | TV Host | Arriba los corazones, TV host, positivity |
| @marisolglzz | 2,035,956 | TV Host | Conductora, madre, esposa |
| @SiriouslySusan | 1,776,718 | Voice Actor | Voice acting, singing, speaking |
| @toddcarey | 1,686,005 | Musician | Music, Collaboration, Community |
| @erikrubin | 1,386,583 | Singer | Music, Acting, Entrepreneurship |
| @SonyPicturesMX | 1,202,554 | Entertainment | Movies, Entertainment, Sony |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,819
Followers With Bio
54,180
Followers Without Bio
46.36%
% With Bio
53.64%
% 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 3,149 analyzed45,003
Combined Engagement
15,909
Total Likes
29,094
Total Retweets
9,001
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @derekcarrqb: No way
Ayer de manera oficial dejé de ser conductor de Telehit después de 18 años de laborar ahí. Me lo mandaron decir con un desconocido. Estaré contando la historia HOY 4:20pm en mi IG Live https://t.co/buyvAtO1Tw Pasa la voz.
jajajajajajaja pinches armys, a ver si en mi cumpleaños arman el mismo desmadre que con su Jungkook.
RT @Foro_TV: Última Hora: En Colegio Rébsamen URGEN: Diez barras IPR de 4 pulgadas compatible 4, un arguero, cadenas, polipastos, PTR de 4…
RT @JonnyBones: If you ever wrote me talking shit about Izzy beating me, slap yourself
Key Insights & Takeaways
She recently announced her departure from Telehit after 18 years, showing a major career shift. Her tweets often include humor and personal gratitude, which likely contribute to her high engagement. She interacts with her fans in a friendly and appreciative manner, fostering a loyal community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 517,446
- + 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 @soyclaudiotv reveals an well-established Twitter presence with 517,446 followers. The account demonstrates a content-creator strategy, averaging 144.1 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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