Mancuer
Youtuber-Comunicador🎙📹⚽ https://www.twitch.tv/mancuer91 [email protected]
180,405
Followers
4,741
Following
42,465
Tweets
733.3
Avg Engagement
347
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mancuer91'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:2011-02-06
- Verification:No
- Location:+580.000 suscriptores
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:707.7
- Avg Retweets per Tweet:25.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,224 tweetsHis tweets receive a high average number of likes, indicating strong audience interaction. Retweets are also relatively common, showing that his content is often shared within his community.
707.7
Avg Likes/Tweet
25.6
Avg Retweets/Tweet
2,281,637
Total Likes
82,671
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
275
Median Likes
5
Median Retweets
743
75th Percentile
32,468
Top Tweet
4.06
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
55.2%
Original
31.0%
Replies
2.0%
Retweets
11.8%
Quotes
0.0%
Threads
0.0%
With Media
37.1%
With Links
0.3%
With #Tags
33.7%
With @Mentions
13.6%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
5.76
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.4%
Weekday Posts
34.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 66 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 3,224 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 followersHis audience likely includes sports enthusiasts, especially football fans, given his content themes. The audience also appears to be interested in communication and digital content creation.
Average
Audience Quality
29.4%
Suspicion Index
37.5%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.0%
Empty Bio
34.4%
<10 Tweets
6.5%
Mass Following (>2K)
0.0%
New (<90 days)
66.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
22.1%
<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.
36,454,968
Total Potential Reach
11
Median Follower Reach
64
75th Percentile Reach
2.1%
>1K followers
0.3%
>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).
40.1%
Creators
20,073 accounts
25.5%
Consumers
12,730 accounts
34.4%
Dormant
17,197 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):
161
Verified Followers
0.16% of total
7,403
Protected Accounts
7.33% of total
4 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 |
|---|---|---|---|
| @FabrizioRomano | 14,516,269 | Journalist | Football, Transfers, News |
| @JohnCena | 14,100,772 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cesc4official | 9,927,964 | Footballer | Football, Family, Instagram |
| @elmarianaa | 7,880,261 | Content Creator | Twitch, Content Creator, Partner |
| @mundodeportivo | 3,152,237 | Sports News | Sports, News, TikTok |
| @miguelhotero | 1,929,882 | Journalist | Politics, Journalism, Leadership |
| @Zilverk | 1,745,664 | Streamer | VTUBER, NFTS, Twitch |
| @Karchezzz | 1,582,802 | YouTuber | Gaming, YouTube, Instagram |
| @SinghLions | 1,333,757 | Restaurateur | Food, Travel, Influencer |
| @Nuvia_OuO | 878,380 | Twitch Streamer | Twitch, Streamer, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,770
Followers With Bio
49,225
Followers Without Bio
51.26%
% With Bio
48.74%
% 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 3,224 analyzed132,656
Combined Engagement
128,273
Total Likes
4,383
Total Retweets
26,531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/ynjjUmbPa4
Bienvenido de nuevo @Auba 🔵🔴 https://t.co/RvUeyc6d0J
Mario Götze en su instagram https://t.co/G52v3MxY78
🚨Messi se ha retirado del entrenamiento de Argentina porque ya habia terminado y tiene que descansar para mañana jugar la final https://t.co/HudJBak4WB
Like si quieres el regreso de Aubameyang al Barça https://t.co/4KjaOBl61h
Key Insights & Takeaways
He focuses on sports, particularly football, which is a major theme in his content. His engagement metrics suggest a loyal and active audience that interacts frequently with his posts. He maintains a personal brand through consistent content and direct audience interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 180,405
- + 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 @Mancuer91 reveals an well-established Twitter presence with 180,405 followers. The account demonstrates a content-creator strategy, averaging 733.3 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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