Superinteressante
Ciência, história, tecnologia, saúde, cultura e o que mais for interessante, de um jeito que ninguém pensou. Assine a partir de 1,00/semana: https://abr.ai/3u1z
3,936,213
Followers
262
Following
66,501
Tweets
64.2
Avg Engagement
10,101
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @revistasuper'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: Mega Influencer (1M+)
- Account Age:2008-11-07
- Verification:No
- Location:São Paulo, Brazil
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:56.6
- Avg Retweets per Tweet:7.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has an average of 1,196 likes and 203 retweets per tweet, indicating a high level of audience interaction. The content is well-received and often shared.
56.6
Avg Likes/Tweet
7.6
Avg Retweets/Tweet
184,001
Total Likes
24,733
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
5
Median Retweets
69
75th Percentile
2,547
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.7%
Original
0.3%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
99.8%
With Links
42.4%
With #Tags
4.7%
With @Mentions
0.0%
With Emojis
178
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.5%
Weekday Posts
23.5%
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 1 retweets (0% 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 audience is likely interested in science, history, and current events. They appreciate content that is both educational and thought-provoking.
Below Average
Audience Quality
37.9%
Suspicion Index
53.3%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.1%
Empty Bio
57.1%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
80.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
43.4%
<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.
8,221,955
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.4%
>1K followers
0.1%
>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).
21.9%
Creators
10,932 accounts
21.0%
Consumers
10,511 accounts
57.1%
Dormant
28,557 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):
82
Verified Followers
0.08% of total
9,676
Protected Accounts
9.58% of total
3 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 |
|---|---|---|---|
| @euleodias | 1,830,970 | Journalist | BBB21, Metropoles, Vamos Falar |
| @SinghLions | 1,335,469 | Restaurateur | Food, Travel, Influencer |
| @PROIBIDAODORIO2 | 559,539 | Content Creator | Music, Rio de Janeiro, YouTube |
| @depheliolopes | 549,931 | Politician | Military, Forensics, Politics |
| @NatuzaNery | 547,144 | Journalist | política, economia, jornalismo |
| @Francischini_ | 424,482 | Police Officer | Police, Special Operations, Military |
| @ONUBrasil | 383,845 | Diplomacy | Sustainable Development, Human Rights, Global Goals |
| @BiodiversidadeB | 361,608 | Estudante | Biologia, Fotografia, Biodiversidade |
| @claudioedantas | 310,454 | - | - |
| @opropriofaka | 292,724 | Entrepreneur | God, Family, Country |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,850
Followers With Bio
57,146
Followers Without Bio
43.42%
% With Bio
56.58%
% 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 3,250 analyzed9,991
Combined Engagement
8,473
Total Likes
1,518
Total Retweets
1,998
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
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Key Insights & Takeaways
The content often addresses societal issues and scientific findings, sparking discussion. It uses a mix of informative articles and engaging headlines to attract attention. The account effectively combines education with entertainment to maintain audience interest.
Strengths
- + Established follower base of 3,936,213
- + 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 @revistasuper reveals an growing Twitter presence with 3,936,213 followers. The account demonstrates a content-creator strategy, averaging 64.2 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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