MCU
360,652
Followers
235
Following
1,466
Tweets
30.3
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_mcuniverse_'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:2011-07-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,404
- Avg Likes per Tweet:18.2
- Avg Retweets per Tweet:12.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,404 tweetsThe account has an average of 259 likes and 87 retweets per tweet, showing moderate to high engagement. The content is likely tailored to maintain interest and interaction from its followers.
18.2
Avg Likes/Tweet
12.1
Avg Retweets/Tweet
25,602
Total Likes
16,932
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
30
75th Percentile
2,635
Top Tweet
0.08
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
71.8%
Original
21.7%
Replies
6.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
50.0%
With Links
4.4%
With #Tags
43.8%
With @Mentions
1.1%
With Emojis
75
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,404 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 92 retweets (7% 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 1,404 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 likely consists of Minecraft enthusiasts and fans of related media. The account's content is designed to excite and engage its followers with updates and announcements.
Average
Audience Quality
28.4%
Suspicion Index
28.6%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
34.8%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
72.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.3%
No URL
18.3%
<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.
25,872,538
Total Potential Reach
9
Median Follower Reach
32
75th Percentile Reach
1.0%
>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).
31.2%
Creators
15,618 accounts
34.0%
Consumers
16,987 accounts
34.8%
Dormant
17,395 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):
114
Verified Followers
0.11% of total
5,911
Protected Accounts
5.85% of total
7 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 |
|---|---|---|---|
| @PostMalone | 7,012,837 | Musician | Music, Tattoos, Beer |
| @FaZeAdapt | 2,790,249 | Influencer | adventure, uncertainty, humor |
| @6BillionPeople | 2,035,743 | - | - |
| @CouRageJD | 1,942,454 | Gamer | Gaming, Soup, Merch |
| @rogerhamilton | 928,823 | Entrepreneur | education, entrepreneurship, futurism |
| @TobyTurner | 872,261 | YouTuber | Gaming, Comedy, Vlogging |
| @sampepper | 740,701 | Influencer | YouTube, Pranks, Vlogs |
| @DatPiff | 650,053 | Music Producer | Music, Lil Wayne, Mixtapes |
| @PopWrapped | 500,790 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @djkingassassin | 474,344 | DJ | Music, Club, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,730
Followers With Bio
44,269
Followers Without Bio
56.17%
% With Bio
43.83%
% 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 1,404 analyzed8,626
Combined Engagement
0
Total Likes
8,626
Total Retweets
1,725
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Xbox: .@Xbox: A New Generation Revealed – Join the online event on 5.21 http://t.co/mWECb0g8aH #XboxReveal
RT @TerranceWill2: #DemBoyz
RT @BreakingBad_AMC: 10 days until the Final Episodes! RT if you're ready for #BreakingBad. http://t.co/hj2nJ6DNcE http://t.co/O6aNNce86b
RT @BebopVox: For each RT of this Tweet in the next hour -I'm donating $1 For this http://t.co/WLvXlY4cLd Minecraft 24hr livestream http://…
RT @jeb_: Minecraft (PC) has hit 10M! As promised, a subtle hint on the main 1.6 feature (thanks @ebbakier): http://t.co/UMD25YUQI2 :D
Key Insights & Takeaways
The account is likely associated with a Minecraft-related project or brand. It uses hype and anticipation to drive engagement through announcements. The use of a link in top tweets suggests potential monetization or promotion of related content.
Strengths
- + Established follower base of 360,652
- + 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 @_mcuniverse_ reveals an growing Twitter presence with 360,652 followers. The account demonstrates a content-creator strategy, averaging 30.3 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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