66,662
Followers
355
Following
586
Tweets
1,408.9
Avg Engagement
108
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheMustacheMan'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:2010-09-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:572
- Avg Likes per Tweet:163.1
- Avg Retweets per Tweet:1,245.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 572 tweetsTheir tweets receive a high number of likes and retweets, indicating a strong and active community around their content.
163.1
Avg Likes/Tweet
1,245.8
Avg Retweets/Tweet
93,293
Total Likes
712,607
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
20
Median Retweets
304
75th Percentile
148,798
Top Tweet
21.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
32.2%
Original
19.2%
Replies
42.0%
Retweets
6.6%
Quotes
0.0%
Threads
1.0%
With Media
56.8%
With Links
10.8%
With #Tags
69.6%
With @Mentions
5.9%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.4%
Weekday Posts
19.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 572 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 240 retweets (42% 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 572 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 fans of pop culture, comedy, and streaming content, with an interest in unique voiceover projects.
Good
Audience Quality
19.9%
Suspicion Index
19.6%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.6%
Empty Bio
18.3%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
49.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.6%
No URL
10.7%
<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.
20,440,640
Total Potential Reach
36
Median Follower Reach
141
75th Percentile Reach
4.0%
>1K followers
0.6%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.6%
Creators
6,159 accounts
20.1%
Consumers
2,010 accounts
18.3%
Dormant
1,831 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):
32
Verified Followers
0.32% of total
1,380
Protected Accounts
13.8% of total
5 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 |
|---|---|---|---|
| @dylanobrien | 6,119,267 | - | - |
| @lilyachty | 5,393,927 | Rapper | Music, Fashion, Lifestyle |
| @CSuiteConfess | 988,683 | Executive Coach | #MeToo, Executives, Navigating |
| @NOH8Campaign | 798,878 | Activism | equality, bullying, discrimination |
| @zackfox | 671,165 | Comedian | Comedy, Music, Art |
| @PamGrier | 545,089 | Academic | history, economics, veterinary science |
| @SAGawards | 533,746 | - | - |
| @jheil | 417,865 | Journalist | Politics, Media, Podcasts |
| @AccessJui | 264,058 | Music Producer | Music Production, Creativity, Innovation |
| @BillionMagazine | 246,902 | Luxury Sales | Jets, Yachts, Supercars |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,144
Followers With Bio
2,856
Followers Without Bio
71.44%
% With Bio
28.56%
% 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 572 analyzed348,004
Combined Engagement
0
Total Likes
348,004
Total Retweets
69,601
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @shariauna_: Oluwatoyin “Toyin” Salau Rest in Power Angel 💔 #JusticeForToyin after tweeting about her sexual assault she went missing for several days and her body was recently found. She was only 19. https://t.co/4uAlVsAVHK
RT @caitiedelaney: Can’t sleep. Thinking about the time that bowling guy screamed “who do you think you are, I am” https://t.co/2abwwsUnIw
RT @tylerthecreator: WHO DAT BOY: https://t.co/bjheVTFi0O
RT @tylerthecreator: IGOR: https://t.co/kWwBauvVf6 https://t.co/rXJzKIomM6
RT @tylerthecreator: CALL ME IF YOU GET LOST: ALBUM 7 BY TYLER THE CREATOR: OUT NOW
Key Insights & Takeaways
The user frequently references streaming platforms and niche content, suggesting a focus on entertainment and media. They engage with their audience by offering unique opportunities, such as voiceover submissions. Their humor often revolves around pop culture and movie parodies, indicating a casual and relatable tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,662
- + 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 @TheMustacheMan reveals an exceptionally influential Twitter presence with 66,662 followers. The account demonstrates a content-creator strategy, averaging 1,408.9 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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