Rodrigo Rodrigues
Apresentador do @sportv e da @RedeGlobo | Idealizador e guitarrista dos @soundtrackers | autor de livros sobre música, cinema e viagens.
188,443
Followers
3,262
Following
89,442
Tweets
336.7
Avg Engagement
478
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RR_TV'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:2010-02-14
- Verification:No
- Location:NowhereLand
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:71.5
- Avg Retweets per Tweet:265.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,171 tweetsRR_TV's tweets receive an average of 2,606 likes and 157 retweets, indicating a loyal and active follower base. His content is well-received and often shared within his community.
71.5
Avg Likes/Tweet
265.2
Avg Retweets/Tweet
226,755
Total Likes
841,076
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
55
75th Percentile
160,698
Top Tweet
1.79
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
18.6%
Original
61.5%
Replies
9.3%
Retweets
10.6%
Quotes
0.0%
Threads
0.0%
With Media
28.2%
With Links
9.7%
With #Tags
73.1%
With @Mentions
14.9%
With Emojis
70
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.31
Reply/Original Ratio
1.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,171 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 295 retweets (9% 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 3,171 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 followersHis audience includes fans of Brazilian TV, music enthusiasts, and readers interested in his book content. The audience seems to value personal stories and insights.
Average
Audience Quality
23.6%
Suspicion Index
24.9%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
19.8%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
60.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
11.0%
<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.
57,487,174
Total Potential Reach
32
Median Follower Reach
129
75th Percentile Reach
4.3%
>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).
57.4%
Creators
28,680 accounts
22.9%
Consumers
11,440 accounts
19.8%
Dormant
9,880 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):
102
Verified Followers
0.1% of total
7,866
Protected Accounts
7.79% 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 |
|---|---|---|---|
| @TNTSportsBR | 6,371,920 | Sports Media | Champions League, NBA, Esportes |
| @rodrigovesgo | 5,434,295 | - | - |
| @sportv | 4,080,869 | Sports Broadcaster | Football, Fitness, Basketball |
| @andreolifelipe | 3,351,829 | Jornalista | Esportes, Jornalismo, Globo |
| @andrizek | 2,105,765 | Sports Commentator | Sports, Journalism, TV |
| @NeymarJrSite | 1,946,359 | Website Manager | Football, Lifestyle, Charity |
| @kskgroup2017 | 1,777,338 | Entrepreneur | Angel investor, Entrepreneur, Soccer |
| @AlfinetePeixoto | 1,663,896 | Sports Betting | Poder, Sports, Bet |
| @omarciusmelhem | 1,650,632 | Ator | Ator, autor, jornalista |
| @anapaularenault | 1,645,565 | TV Personality | Reality TV, Entertainment, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,119
Followers With Bio
43,879
Followers Without Bio
56.55%
% With Bio
43.45%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,171 analyzed336,927
Combined Engagement
0
Total Likes
336,927
Total Retweets
67,385
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @NBA: https://t.co/CSHJBaG6ZQ
RT @kaj33: Most people will remember Kobe as the magnificent athlete who inspired a whole generation of basketball players. But I will alwa…
RT @drauziovarella: Drauzio vem conversar diretamente com as pessoas que o acompanham - seja na TV ou nas redes sociais -, sobre sua partic…
RT @lhmandetta: Oremos. Força SUS. Ciência. Paciência. Fé! #FicaEmCasa
RT @Patrickazeved8: Quem puder da rt,meu pai está sumido,quem puder ajudando dando rt agradeceria!! https://t.co/D8a0Ud5NEN
Key Insights & Takeaways
RR_TV frequently shares personal and emotional messages, showing a deep connection with his followers. He often reflects on professional relationships and the challenges of online interactions. He highlights the need for moderation and the impact of online behavior on his experience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 188,443
- + 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 @RR_TV reveals an well-established Twitter presence with 188,443 followers. The account demonstrates a conversation-first approach, averaging 336.7 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access