RBS TV
Twitter oficial da @rbstv, afiliada da Rede Globo no Rio Grande do Sul.
261,197
Followers
316
Following
116,420
Tweets
9.6
Avg Engagement
252
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rbstv'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:2011-10-17
- Verification:No
- Location:RS | Brasil
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:4.6
- Avg Retweets per Tweet:5.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account sees moderate engagement with an average of 137 likes and 10 retweets per tweet. Engagement appears to be steady but not exceptionally high.
4.6
Avg Likes/Tweet
5.1
Avg Retweets/Tweet
14,799
Total Likes
16,419
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
7
75th Percentile
3,318
Top Tweet
0.04
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
29.4%
Original
3.4%
Replies
63.0%
Retweets
4.2%
Quotes
0.0%
Threads
0.0%
With Media
87.6%
With Links
67.1%
With #Tags
66.4%
With @Mentions
19.6%
With Emojis
130
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
89.4%
Weekday Posts
10.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 2,047 retweets (63% 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 3,250 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 followersThe primary audience is residents of Rio Grande do Sul who follow local news and events. The audience is likely interested in politics, sports, and community updates.
Average
Audience Quality
34.7%
Suspicion Index
47.1%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.6%
Empty Bio
54.9%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
72.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.2%
No URL
40.7%
<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.
13,758,648
Total Potential Reach
4
Median Follower Reach
22
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
23.6%
Creators
11,817 accounts
21.5%
Consumers
10,749 accounts
54.9%
Dormant
27,434 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):
29
Verified Followers
0.03% of total
8,600
Protected Accounts
8.6% of total
6 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 |
|---|---|---|---|
| @rafaelportugal | 3,685,142 | Actor | Comedy, Music, Television |
| @gzhdigital | 1,169,796 | Journalist | News, Analysis, Opinion |
| @MaisVoce | 761,364 | Culinary Expert | reflexões, receitas, compartilhar |
| @Pimenta13Br | 601,621 | Político | politics, journalism, leadership |
| @PSDBoficial | 595,864 | Political Party | Politics, Brazil, Social Democracy |
| @El_Ciudadano | 580,856 | Journalist | Prensa, Libertaria, Denuncia |
| @FernandaKeulla | 514,315 | TV Host | No specific interests mentioned. |
| @anaamelialemos | 358,190 | Journalist | Politics, Journalism, Brazil |
| @chicogarciaa | 214,511 | Journalist | futebol, YouTube, podcast |
| @rede_atlantida | 201,126 | Radio Network | Music, Entertainment, Radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,135
Followers With Bio
56,865
Followers Without Bio
43.13%
% With Bio
56.87%
% 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 3,250 analyzed7,271
Combined Engagement
0
Total Likes
7,271
Total Retweets
1,454
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @bbb: Maria é desclassificada do BBB 22. #BBB22 #RedeBBB https://t.co/U7iCD4R87P
RT @g1: Jô Soares morre aos 84 anos: https://t.co/MevtgEi7HC #g1
RT @EduPaganella: Um adolescente foi detido e os pais foram presos em flagrante há pouco na cidade de Maquiné. Na casa da família, foi enco…
RT @tvglobo: Todos os aplausos ao grande artista Jô Soares 🖤 #Encontro https://t.co/f99xRW2kjt
RT @tvglobo: "Ando devagar porque já tive pressa E levo esse sorriso Porque já chorei demais" Mais alguém emocionado por aí? 😭 #Pantanal h…
Key Insights & Takeaways
The account frequently shares news about local politics and governance It highlights sports events and community activities It uses emotional and patriotic language to connect with followers
Strengths
- + Established follower base of 261,197
- + 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 @rbstv reveals an growing Twitter presence with 261,197 followers. The account demonstrates a content-creator strategy, averaging 9.6 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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