Terroriser
Irish YouTuber & The Voice of Buck in Alpha Betas. Business Enquiries: [email protected]
1,409,019
Followers
401
Following
33,227
Tweets
1,626.0
Avg Engagement
464
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Terroriser'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: Mega Influencer (1M+)
- Account Age:2011-05-10
- Verification:No
- Location:Ireland 🛫 America
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:1,546.1
- Avg Retweets per Tweet:79.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsTerroriser's tweets receive high average likes and retweets, indicating strong audience interaction. His content is well-received and often shared, highlighting his influence and relatability.
1,546.1
Avg Likes/Tweet
79.9
Avg Retweets/Tweet
5,013,974
Total Likes
259,203
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
751
Median Likes
18
Median Retweets
1,990
75th Percentile
34,039
Top Tweet
1.15
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
44.3%
Original
45.0%
Replies
5.7%
Retweets
4.9%
Quotes
0.0%
Threads
0.2%
With Media
48.6%
With Links
4.6%
With #Tags
56.4%
With @Mentions
13.2%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.86
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.1%
Weekday Posts
33.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 186 retweets (6% 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 3,243 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 is primarily young adults interested in gaming, entertainment, and personal stories. They engage deeply with his content, showing interest in both his career and personal life.
Below Average
Audience Quality
35.7%
Suspicion Index
47.7%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.9%
Empty Bio
55.4%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
77.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
40.5%
<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.
11,578,177
Total Potential Reach
3
Median Follower Reach
13
75th Percentile Reach
0.5%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
20.5%
Creators
10,271 accounts
24.1%
Consumers
12,037 accounts
55.4%
Dormant
27,692 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):
202
Verified Followers
0.2% of total
9,223
Protected Accounts
9.22% 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 |
|---|---|---|---|
| @ChloeGMoretz | 2,878,648 | Actress | feminism, empowerment, equality |
| @Nihachu | 2,397,039 | Content Creator | Gaming, Esports, Art |
| @weirddalle | 1,356,322 | - | - |
| @CoolerMaster | 676,590 | PC Hardware | PC hardware, memes, cool products |
| @IamMzilikazi | 544,353 | Musician | Pan-African music, Album, Rise |
| @zentreya | 414,893 | - | - |
| @zammit_marc | 387,987 | Filmmaker | Film, Acting, Producing |
| @EvanKirstel | 343,805 | Tech Influencer | Tech, B2B, Social media |
| @EASPORTSF1 | 309,324 | Gaming | Racing, Gaming, F1 |
| @TikoFn | 283,563 | YouTuber | YouTube, videos, fishing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,429
Followers With Bio
50,571
Followers Without Bio
49.43%
% With Bio
50.57%
% 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 3,243 analyzed148,764
Combined Engagement
109,813
Total Likes
38,951
Total Retweets
29,753
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
There’s always OnlyFans @realamberheard
RT @wonderofscience: Seals are the dogs of the sea. https://t.co/M3aKX3tR88
Before my dad passed, he begged me to go to America to either develop an app or else voice act in a show and it’s been a promise I’ve sworn to keep. This project means so much to me and I’m proud of the guys and everyone involved. Can’t wait for you all to see it! ♥️ https://t
People are too sensitive these days.
This fucking guy @evanfong https://t.co/h1dzE8ySf9
Key Insights & Takeaways
He frequently shares personal and emotional stories, which resonate with his audience. He mentions his role in Alpha Betas, indicating a key part of his public identity. He engages with fans on both professional and personal levels, building a loyal community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,409,019
- + High community engagement through conversations
- + 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 @Terroriser reveals an exceptionally influential Twitter presence with 1,409,019 followers. The account demonstrates a conversation-first approach, averaging 1,626.0 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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