90 Minuti
Cuenta oficial del programa '90 Minuti' de Realmadrid TV.
62,274
Followers
59
Following
7,056
Tweets
64.7
Avg Engagement
169
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @90minutiRMTV'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: Mid-Tier (10K+)
- Account Age:2016-06-09
- Verification:No
- Location:Realmadrid TV
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:51.7
- Avg Retweets per Tweet:13.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,178 tweetsThe account maintains a steady level of engagement with its followers, indicating a loyal fan base. The use of hashtags and links to the Real Madrid app helps drive interaction and traffic.
51.7
Avg Likes/Tweet
13.0
Avg Retweets/Tweet
164,312
Total Likes
41,431
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
6
Median Retweets
65
75th Percentile
4,924
Top Tweet
1.04
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
92.4%
Original
1.7%
Replies
4.4%
Retweets
1.4%
Quotes
0.0%
Threads
0.0%
With Media
64.7%
With Links
94.8%
With #Tags
59.7%
With @Mentions
25.0%
With Emojis
202
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
99.3%
Weekday Posts
0.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 141 retweets (4% 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 3,178 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 10,000 followersThe audience is likely composed of football fans, particularly those interested in Real Madrid and the Champions League. The content is tailored to engage with fans who follow the club's activities closely.
Average
Audience Quality
26.0%
Suspicion Index
30.8%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.5%
Empty Bio
28.9%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
58.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
18.2%
<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.
3,043,749
Total Potential Reach
20
Median Follower Reach
107
75th Percentile Reach
3.7%
>1K followers
0.2%
>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).
49.7%
Creators
4,968 accounts
21.5%
Consumers
2,147 accounts
28.9%
Dormant
2,885 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):
12
Verified Followers
0.12% of total
882
Protected Accounts
8.82% 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 |
|---|---|---|---|
| @PipiEstrada1 | 307,705 | Sports Journalist | Sports, Entertainment, Journalism |
| @9FelipeReyes | 192,800 | Basketball Player | Baloncesto, Real Madrid, Embajador |
| @RMadrid_min93 | 121,414 | Sports Fan | Football, Real Madrid, Passion |
| @_AndyyLucas_ | 114,688 | Singer | Music, Awards, Concerts |
| @ClubEditorial | 108,747 | - | - |
| @franju | 71,991 | Influencer | TV, Glass, MegaSn |
| @COOLCHANNELTV | 71,389 | Journalist | Venezuela, Democracia, Expresión |
| @waltertavares22 | 61,205 | Basketball Player | Basketball, Cape Verde, Positive mindset |
| @ContraGodarria | 61,023 | - | - |
| @OscarDS | 48,059 | Communications | Profesor, formador, coach |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,648
Followers With Bio
4,352
Followers Without Bio
56.48%
% With Bio
43.52%
% 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 3,178 analyzed14,360
Combined Engagement
1,843
Total Likes
12,517
Total Retweets
2,872
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @SergioRamos: Para que solo se oiga Para que solo se sienta Para que solo se grite #HalaMadrid #YNadaMas One roar One feeling One cry #HalaMadrid #YNadaMas https://t.co/ssMW6N5fbX
RT @realmadrid: 🏆👏 El presidente del @realmadrid con nuestros galardonados en los premios 'The Best': 🇭🇷 @lukamodric10 (Mejor Jugador, FIFPro XI) 🇧🇪 @thibautcourtois (Portero) 🇪🇸 @SergioRamos (FIFPro XI) 🇫🇷 @raphaelvarane (FIFPro XI) 🇧🇷 @MarceloM12 (FIFPro XI) #TheBest | #HalaMa
.@NadalMiki : "Carlos Henrique @Casemiro jugó anoche su encuentro número 50 en la Champions League. Eso quiere decir que… Casemiro gana una Champions cada 12,5 partidos.¡Alucinante! " #90Minuti518 https://t.co/MMKGvLveCe
RT @realmadrid: 🏆 El Premio The Best al Jugador de la FIFA 2018 - @lukamodric10 👔 El presidente del @realmadrid, Florentino Pérez #TheBest | #HalaMadrid https://t.co/r37HvQgQ8S
RT @Casemiro: Un equipo, una afición, un grito: ¡Hala Madrid! 💪🏽 #realmadrid #halamadrid #rmucl https://t.co/lqVdfoIBQx
Key Insights & Takeaways
The account frequently collaborates with notable figures like Rafael Nadal to boost credibility and reach. It leverages emotional content and fan sentiment to create a strong connection with its audience. Promotional tweets are often tied to specific episodes or events, encouraging viewership and participation.
Strengths
- + Established follower base of 62,274
- + 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 @90minutiRMTV reveals an growing Twitter presence with 62,274 followers. The account demonstrates a content-creator strategy, averaging 64.7 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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