madridistaReal
Una revista para los aficionados del Real Madrid, que pretende acoger de forma firme los valores madridistas.
380,391
Followers
601
Following
70,032
Tweets
1,620.7
Avg Engagement
947
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RMadridistaReal'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:2016-12-09
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:1,360.2
- Avg Retweets per Tweet:260.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsThe account consistently receives high engagement, indicating a loyal and active fan base. The average likes and retweets per tweet suggest that the content is well-received and widely shared within the community.
1,360.2
Avg Likes/Tweet
260.6
Avg Retweets/Tweet
4,416,526
Total Likes
846,027
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
310
Median Likes
16
Median Retweets
1,573
75th Percentile
139,105
Top Tweet
4.26
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
77.2%
Original
19.3%
Replies
0.6%
Retweets
3.0%
Quotes
0.0%
Threads
0.0%
With Media
68.7%
With Links
3.0%
With #Tags
44.3%
With @Mentions
29.1%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
5.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.2%
Weekday Posts
32.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 18 retweets (1% 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 3,247 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 consists of Real Madrid fans who are interested in the club's history, players, and values. The content appeals to both long-time supporters and newer fans looking for in-depth insights.
Average
Audience Quality
34.0%
Suspicion Index
45.6%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.7%
Empty Bio
47.1%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
72.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
32.4%
<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.
22,697,200
Total Potential Reach
8
Median Follower Reach
45
75th Percentile Reach
1.8%
>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).
29.5%
Creators
14,741 accounts
23.4%
Consumers
11,700 accounts
47.1%
Dormant
23,559 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):
103
Verified Followers
0.1% of total
7,776
Protected Accounts
7.7% 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 |
|---|---|---|---|
| @MarceloM12 | 12,891,411 | Athlete | Rio de Janeiro, Tattoos, God |
| @miguelhotero | 1,929,163 | Journalist | Politics, Journalism, Leadership |
| @LeBronJames | 1,008,859 | - | - |
| @florentino | 996,754 | Musician | Travel, Music, Adventure |
| @CRonaldoNews | 713,404 | Fan Account | Football, Cristiano Ronaldo, Updates |
| @IamMzilikazi | 546,777 | Musician | Pan-African music, Album, Rise |
| @FaktaSepakbola | 408,500 | Sports Journalist | Berita, Meme, Info |
| @RealMadridWorld | 255,184 | Sports Fan | Soccer, Real Madrid, Fan |
| @KOMINERT | 223,596 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @Sportskeeda | 217,106 | Sports Media | sports, live scores, articles |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,638
Followers With Bio
54,361
Followers Without Bio
46.18%
% With Bio
53.82%
% 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 3,247 analyzed432,876
Combined Engagement
84,416
Total Likes
348,460
Total Retweets
86,575
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @vinijr: ✊🏿🖤! Obrigado pelo apoio! Eu não vou parar! #BailaViniJr https://t.co/h3RsmwYAYw
Dos formas diferentes de ganar. https://t.co/ubF6LphHVu
RT @vinijr: Señoras y señores, esto es el REAL MADRID 👑🤍 https://t.co/YPJ5l5SgSe
RT @vinijr: Baile donde quieras… @RodrygoGoes https://t.co/2fu372LEdr
RT @Pele: O futebol é alegria. É uma dança. É uma verdadeira festa. Apesar de que o racismo ainda exista, não permitiremos que isso nos imp…
Key Insights & Takeaways
The account focuses on in-depth analysis of Real Madrid's history and players It encourages fan interaction through questions and discussions It highlights underappreciated players and key moments in the club's legacy
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 380,391
- + 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 @RMadridistaReal reveals an exceptionally influential Twitter presence with 380,391 followers. The account demonstrates a content-creator strategy, averaging 1,620.7 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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