Rubén Yáñez Alabart
Portero del @RealSporting
77,621
Followers
263
Following
309
Tweets
323.5
Avg Engagement
228
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RYanez93'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:2013-06-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:304
- Avg Likes per Tweet:198.7
- Avg Retweets per Tweet:124.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 304 tweetsThe account has a high average engagement rate with likes and retweets, suggesting a loyal and active follower base. The content is well-received and shared by the community.
198.7
Avg Likes/Tweet
124.8
Avg Retweets/Tweet
60,408
Total Likes
37,926
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
23
Median Retweets
388
75th Percentile
9,831
Top Tweet
4.17
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59.9%
Original
3.0%
Replies
33.2%
Retweets
3.9%
Quotes
0.0%
Threads
0.0%
With Media
83.9%
With Links
37.5%
With #Tags
50.3%
With @Mentions
50.0%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 304 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 101 retweets (33% 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 304 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 appears to be football fans, particularly supporters of Real Sporting and Cadiz CF. The content is likely engaging for fans of the sport and those interested in player transitions.
Average
Audience Quality
32.0%
Suspicion Index
30.9%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.6%
Empty Bio
37.2%
<10 Tweets
15.9%
Mass Following (>2K)
0.0%
New (<90 days)
73.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
22.2%
<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.
32,194,331
Total Potential Reach
24
Median Follower Reach
110
75th Percentile Reach
3.4%
>1K followers
0.4%
>10K followers
0.2%
>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).
36.8%
Creators
3,681 accounts
26.0%
Consumers
2,599 accounts
37.2%
Dormant
3,720 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):
11
Verified Followers
0.11% of total
715
Protected Accounts
7.15% 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 |
|---|---|---|---|
| @JohnCena | 14,097,481 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LaLiga | 11,862,999 | Sports League | Football, Soccer, International |
| @MalagaCF | 657,240 | Football Club | Football, Málaga, Updates |
| @ammr | 600,281 | Digital Marketer | Digital Marketing, Social Media, Training |
| @Moreno | 429,970 | Influencer | Business, Manager, Serious |
| @Inspiras_ | 407,733 | Magazine Editor | Positividad, Lifestyle, Posible |
| @OnlyVikingos | 400,300 | Football Fan | Football, Real Madrid, Passion |
| @HarryGoaz | 233,650 | - | - |
| @SpheraSports | 187,277 | Sports Media | Sports, Communication, Engagement |
| @SDHuesca | 163,065 | Football Club | Football, LaLiga, eSports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,037
Followers With Bio
3,963
Followers Without Bio
60.37%
% With Bio
39.63%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 304 analyzed21,388
Combined Engagement
15,900
Total Likes
5,488
Total Retweets
4,278
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/USMuXFQeza
¡La unión hace la fuerza! 🤜🏼🤛🏼#goalkeepers https://t.co/dc3WCAxLQo
CAMPEONES DE EUROPA!!!!! WE ARE THE CHAMPIONS🏆🎉🎉 #UCL #LAUNDECIMA https://t.co/8aLea0pgTO
¡Nueva etapa! Ilusionadísimo. Dar las gracias al @Cadiz_CF y a su afición por el recibimiento. ¡Estoy seguro de que será un gran año! ⚽💛 https://t.co/C47Y6j7qtC
Orgulloso de haber compartido vestuario contigo. Gracias por todo lo que nos has dado. ¡Gracias Arbe! 🙌🏼 https://t.co/tqukiD8JPY
Key Insights & Takeaways
The account frequently uses hashtags and emojis to enhance engagement and emotional connection. The content often includes personal milestones and gratitude, which helps build a closer relationship with followers. The use of links suggests the account may promote team or club-related content and updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,621
- + 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 @RYanez93 reveals an well-established Twitter presence with 77,621 followers. The account demonstrates a content-creator strategy, averaging 323.5 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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