AEMET
Cuenta oficial de la Agencia Estatal de Meteorología. También en Facebook (Agencia Estatal de Meteorología) e Instagram (aemet_esp)
377,739
Followers
639
Following
124,522
Tweets
30.6
Avg Engagement
2,299
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AEMET_Esp'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:2013-01-04
- Verification:Yes
- Location:España
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:21.1
- Avg Retweets per Tweet:9.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, showing strong audience interaction. Its content is well-received and shared, indicating relevance and trust.
21.1
Avg Likes/Tweet
9.5
Avg Retweets/Tweet
68,588
Total Likes
30,793
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
3
Median Retweets
23
75th Percentile
4,846
Top Tweet
0.08
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
80.2%
Original
10.1%
Replies
8.3%
Retweets
1.4%
Quotes
0.0%
Threads
0.0%
With Media
90.1%
With Links
66.1%
With #Tags
17.9%
With @Mentions
9.6%
With Emojis
171
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
75.2%
Weekday Posts
24.8%
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 269 retweets (8% 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 includes the general public, weather enthusiasts, and professionals in related fields. It also reaches individuals interested in scientific explanations of weather phenomena.
Average
Audience Quality
31.3%
Suspicion Index
50.3%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.1%
Empty Bio
45.0%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
58.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
35.5%
<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.
15,978,751
Total Potential Reach
7
Median Follower Reach
63
75th Percentile Reach
2.8%
>1K followers
0.3%
>10K followers
0.1%
>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).
37.6%
Creators
18,800 accounts
17.4%
Consumers
8,702 accounts
45.0%
Dormant
22,498 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):
241
Verified Followers
0.24% of total
9,463
Protected Accounts
9.37% of total
5 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 |
|---|---|---|---|
| @MarcGasol | 1,202,456 | Basketball Player | Basketball, Sailing, Wine |
| @reddeemergencia | 1,067,573 | Emergency Response | Emergency Response, Citizen Corporation, National Network |
| @metoffice | 939,436 | Meteorologist | Weather, Warnings, App |
| @Alvaro845 | 885,812 | YouTuber | Mobile gaming, TeamQuesoGG, Business |
| @informativost5 | 849,178 | News Outlet | News, Television, Updates |
| @MADRID | 801,021 | Government | servicios municipales, avisos, sugerencias |
| @IzquierdaUnida | 594,505 | Political party | politics, activism, unity |
| @idokep | 552,033 | Weather forecasting | Weather, Hungary, Forecast |
| @EricHolthaus | 487,411 | Climate Activist | Climate justice, Youth empowerment, COP26 |
| @PastoraSoler | 412,205 | Singer | Music, Singer, Spain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,442
Followers With Bio
61,557
Followers Without Bio
39.05%
% With Bio
60.95%
% 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 analyzed13,849
Combined Engagement
6,252
Total Likes
7,597
Total Retweets
2,770
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @IGeociencias: ¿Se ha detenido el núcleo de la Tierra? La respuesta es no, pero antes vamos a hacer una pequeña introducción https://t.c…
Estamos en un episodio de tiempo frío, que en los próximos días se recrudecerá. Pero no nos encaminamos a la «ola de frío más dura de los últimos 30 años», como se ha podido leer en determinados medios. Lo explicamos en este #hilo. https://t.co/W9go071OBI
En #AEMETdivulgacion hablamos del complejo proceso científico y técnico en que se basa el método de elaboración de la predicción moderna del tiempo. Nada tiene que ver con otros métodos, que pueden tener su arraigo e interés cultural, pero que carecen de base científica.🧵👇
En los doce primeros días de abril, tan solo se han acumulado en conjunto de España 3 l/m². Una cantidad muy inferior a lo normal para este período. Hasta ahora, el abril más seco de la serie histórica es el de 1995, con 23 l/m² acumulados en todo el mes. https://t.co/jXloX1KqvJ
Este es el mapa de precipitación acumulada en España entre el 1 y 17 de abril: en más de la mitad del país no ha caído una sola gota. En conjunto, se han registrado 5 l/m², valor que solo representa el 15 % del promedio normal de esos primeros diecisiete días de abril. https://t.
Key Insights & Takeaways
The account provides regular weather forecasts and alerts, which are crucial for public safety and planning. It educates followers about the science behind weather prediction, enhancing understanding and credibility. It maintains a professional tone while making complex information accessible to a broad audience.
Strengths
- + Established follower base of 377,739
- + 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 @AEMET_Esp reveals an growing Twitter presence with 377,739 followers. The account demonstrates a content-creator strategy, averaging 30.6 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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