AnnoyingTV
@Twitch Partner 700k+ @YouTube 500k+ @KickStreaming Partner Business: [email protected] | @HuhNation @WindyCityRP @TownsRolePlay
223,800
Followers
1,280
Following
28,928
Tweets
752.8
Avg Engagement
92
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarioHTXX'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:2011-07-01
- Verification:No
- Location:Miami, FL
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:677.1
- Avg Retweets per Tweet:75.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,234 tweetsHis tweets typically receive high engagement, with an average of 15,998 likes and 1,178 retweets per tweet. This suggests that his content resonates strongly with his followers and sparks discussion.
677.1
Avg Likes/Tweet
75.6
Avg Retweets/Tweet
2,189,804
Total Likes
244,651
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
329
Median Likes
4
Median Retweets
846
75th Percentile
33,195
Top Tweet
3.36
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
55.3%
Original
30.9%
Replies
8.3%
Retweets
5.5%
Quotes
0.0%
Threads
0.1%
With Media
27.8%
With Links
1.8%
With #Tags
43.1%
With @Mentions
22.5%
With Emojis
63
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 270 retweets (8% 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 3,234 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 appears to be primarily young adults interested in gaming, streaming, and social media trends. They are likely looking for inspiration, entertainment, and commentary on current events and online culture.
Average
Audience Quality
34.8%
Suspicion Index
44.6%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.5%
Empty Bio
50.3%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
75.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
34.6%
<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.
49,169,366
Total Potential Reach
7
Median Follower Reach
30
75th Percentile Reach
1.6%
>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).
23.8%
Creators
11,896 accounts
25.9%
Consumers
12,950 accounts
50.3%
Dormant
25,154 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):
381
Verified Followers
0.38% of total
10,041
Protected Accounts
9.94% of total
2 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 | 14,099,854 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Twitch | 9,932,922 | Social Media Manager | Gaming, Community, Support |
| @RiceGum | 2,621,283 | YouTuber | YouTube, Content Creator, Comedy |
| @Clix | 2,168,062 | Professional Gamer | Fortnite, Gaming, Esports |
| @DailyLoud | 1,704,677 | Music Blogger | Hip-Hop, Music, Updates |
| @iamvictoryaa | 1,064,220 | Influencer | Fashion, Beauty, Lifestyle |
| @Rap | 1,051,746 | Entertainment | Breaking News, Music Updates, Exclusive Content |
| @LeBronJames | 1,004,609 | - | - |
| @UglyGod | 998,550 | Rapper | Music, Fashion, Entertainment |
| @skybri_ | 983,013 | Content Creator | Adult Content, Harry Potter, Instagram |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,791
Followers With Bio
51,195
Followers Without Bio
49.3%
% With Bio
50.7%
% 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 3,234 analyzed128,373
Combined Engagement
69,219
Total Likes
59,154
Total Retweets
25,675
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @lunasofiiaa: anxiety is such a ho
There’s a 5% chance of beating a federal case in America and Youngboy did it… wow
@FanumTV Mf compared it to a 9mm 😭😭
RT @askheraboutali: cool while it lasted https://t.co/8DkQrBEPzW
Stop wasting your 20s trying to find love, go get rich. 💵
Key Insights & Takeaways
He often highlights success stories and challenges within the streaming and entertainment industries. His content tends to be provocative and attention-grabbing, which drives engagement. He uses a mix of personal advice and commentary on current events to connect with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 223,800
- + 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 @MarioHTXX reveals an well-established Twitter presence with 223,800 followers. The account demonstrates a content-creator strategy, averaging 752.8 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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