Metro de Madrid
Metro de Madrid es la empresa pública que gestiona la red de metro de la Comunidad de Madrid. https://www.metromadrid.es
658,775
Followers
612
Following
286,200
Tweets
6.7
Avg Engagement
1,496
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @metro_madrid'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:2010-08-25
- Verification:Yes
- Location:Madrid, España
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:5.6
- Avg Retweets per Tweet:1.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating a consistent but not highly interactive audience.
5.6
Avg Likes/Tweet
1.1
Avg Retweets/Tweet
18,207
Total Likes
3,723
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
1,596
Top Tweet
0.01
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
8.1%
Original
90.0%
Replies
1.5%
Retweets
0.3%
Quotes
0.0%
Threads
0.2%
With Media
13.3%
With Links
4.6%
With #Tags
91.8%
With @Mentions
27.5%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
11.08
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
85.1%
Weekday Posts
14.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 49 retweets (2% 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 3,249 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 primarily interested in Madrid's culture, tourism, and public transportation, with a strong local and international presence.
Average
Audience Quality
31.7%
Suspicion Index
49.6%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.3%
Empty Bio
50.2%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
40.9%
<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.
26,939,375
Total Potential Reach
4
Median Follower Reach
54
75th Percentile Reach
2.1%
>1K followers
0.2%
>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).
34.4%
Creators
17,203 accounts
15.4%
Consumers
7,693 accounts
50.2%
Dormant
25,104 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):
185
Verified Followers
0.18% of total
11,613
Protected Accounts
11.61% 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 |
|---|---|---|---|
| @IkerCasillas | 10,105,853 | Footballer | Football, Ambassador, Real Madrid |
| @metrodesantiago | 2,453,270 | Transportation | Transport, Safety, Schedule |
| @QueLeer | 1,947,088 | Book Promotion | Libros, Lectores, Club de Lectura |
| @miguelhotero | 1,928,696 | Journalist | Politics, Journalism, Leadership |
| @lydiacachosi | 1,424,077 | - | - |
| @SinghLions | 1,335,046 | Restaurateur | Food, Travel, Influencer |
| @fieritacatalano | 982,752 | Presenter | Nerd, Presentador, Radio |
| @ElHuffPost | 588,176 | News outlet | News, Politics, Culture |
| @IamMzilikazi | 546,104 | Musician | Pan-African music, Album, Rise |
| @lamacope | 544,133 | Sports Journalist | Sports, Journalism, Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,678
Followers With Bio
54,322
Followers Without Bio
45.68%
% With Bio
54.32%
% 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 3,249 analyzed3,705
Combined Engagement
2,872
Total Likes
833
Total Retweets
741
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
¿Lo has bailado ya? @rosalia y su LLYLM suenan en Nuevos Ministerios. https://t.co/qZFIu2iEbt
❤💮 ¡Qué espectáculo! Ya han florecido los almendros en Madrid, hoy hemos ido a verlos al Retiro. 🚇 Estación del Arte #FelizMartes #MadridEnMetro https://t.co/jOYLK9EgK5
RT @Madridonasangre: 🚨🚨 Llamamiento urgente a la donación de #sangre 🚨 Continúan en alerta roja los grupos 🅾️-,🅰️+,🅰️- y 🅱️+ 🩸🩸 Los hospi…
❤🌆 Un tesoro de Madrid nos da hoy los buenos días. 📷 IG: sylverexplore #FelizLunes #MadridEnMetro https://t.co/85NGdeBFi0
❤🌼 ¡Bienvenida, primavera! #FelizMartes #MadridEnMetro https://t.co/IUaoI2ttwU
Key Insights & Takeaways
The account uses visually engaging content to highlight Madrid's landmarks and metro stations. It leverages trending topics and collaborations with influencers like Rosalia to boost visibility. It promotes a sense of community and pride in Madrid's cultural and natural beauty.
Strengths
- + Established follower base of 658,775
- + 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 @metro_madrid reveals an growing Twitter presence with 658,775 followers. The account demonstrates a conversation-first approach, averaging 6.7 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.
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