Estael Sias
Meteorologista formada pela UFPEL com mestrado na USP na área de tempestades. Sócia Diretora na empresa MetSul. Mais de 20 anos de previsão do tempo.
167,140
Followers
3,938
Following
51,385
Tweets
34.0
Avg Engagement
186
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Estaelsias'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:2009-07-01
- Verification:No
- Location:Porto Alegre
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:11.1
- Avg Retweets per Tweet:22.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsOs tweets têm médias de curtidas e retweets moderadas, indicando que seu conteúdo é bem recebido, mas não gera um engajamento extremamente alto.
11.1
Avg Likes/Tweet
22.9
Avg Retweets/Tweet
35,970
Total Likes
74,470
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
13
Median Retweets
36
75th Percentile
1,589
Top Tweet
0.2
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
6.6%
Original
6.9%
Replies
79.9%
Retweets
6.6%
Quotes
0.0%
Threads
0.0%
With Media
38.2%
With Links
5.7%
With #Tags
88.6%
With @Mentions
20.0%
With Emojis
133
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.04
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.3%
Weekday Posts
23.7%
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 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 2,596 retweets (80% 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 followersSeu público é composto por pessoas interessadas em meteorologia, clima e eventos climáticos extremos. Também pode incluir profissionais da área e estudantes.
Below Average
Audience Quality
36.6%
Suspicion Index
51.5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.4%
Empty Bio
57.1%
<10 Tweets
4.5%
Mass Following (>2K)
0.0%
New (<90 days)
73.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
43.5%
<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.
23,416,417
Total Potential Reach
4
Median Follower Reach
26
75th Percentile Reach
2.5%
>1K followers
0.4%
>10K followers
0.1%
>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).
25.3%
Creators
12,650 accounts
17.6%
Consumers
8,803 accounts
57.1%
Dormant
28,547 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):
43
Verified Followers
0.04% of total
5,569
Protected Accounts
5.51% 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 |
|---|---|---|---|
| @Miltonneves | 2,440,764 | Jornalista | Esportes, Jornalismo, Blogging |
| @MarceloFreixo | 1,976,269 | Politician | Family, Education, Politics |
| @Metropoles | 975,007 | News Outlet | politics, health, entertainment |
| @gunsnrosesgirl3 | 942,226 | - | - |
| @augustodeAB | 574,892 | Lawyer | Direito, Defesa, Direitos Humanos |
| @NatuzaNery | 547,744 | Journalist | política, economia, jornalismo |
| @rock_edgard | 503,819 | - | - |
| @davis26_jack | 445,937 | - | - |
| @gilsonmachadont | 405,986 | - | - |
| @spcver | 405,117 | Meteorologist | meteorology, weather forecasts, civil protection |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,893
Followers With Bio
62,106
Followers Without Bio
38.51%
% With Bio
61.49%
% 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 analyzed4,751
Combined Engagement
3,723
Total Likes
1,028
Total Retweets
950
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
Número de queda de árvores até agora não é alto em Porto Alegre e o motivo não é o vento não ser forte. Está bastante forte. Razão está no solo. Não choveu forte. Quando há ventania com ou após chuva o solo fica mais úmido e instável, e as árvores caem com maior facilidade.
Amigos, vocês não fazem noção do que foi o dia de hoje. Não é reclamação, a gente ama o que faz, mas o dia foi anormal de tantas situações. E não terminou. Obrigado a vocês que colaboraram com infos, fotos e vídeos. Se não foi usado, perdoem-nos, é porque está difícil dar conta.
É complicado, a gente sabe, então vamos lá. Existem três tipos de ciclone: subtropical, extratropical e tropical. O que diferencia cada um é a temperatura do seu centro. E todos trazem vento forte. Quanto menor a pressão central mais intenso será o ciclone e o potencial de vento.
RT @metsul: 🔴 ATENÇÃO - ALERTA | Uma excepcional e incomum onda de calor extremo atingirá o Centro da América do Sul. Recordes de décadas e…
Fique atento! O tempo muda com chuva nas próximas horas na Grande Porto Alegre. Há risco de chuva por vezes moderada a forte, trovões e até algumas rajadas de vento, mas *NÃO*, repito, *NÃO* se projeta repetição do ocorrido na segunda. Sequer algo parecido.
Key Insights & Takeaways
Sua comunicação é clara e acessível, mesmo em assuntos complexos. Foca em explicações científicas com base em dados reais. Aborda tanto eventos atuais quanto conceitos teóricos de meteorologia.
Strengths
- + Established follower base of 167,140
- + 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 @Estaelsias reveals an growing Twitter presence with 167,140 followers. The account demonstrates a conversation-first approach, averaging 34.0 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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