104,750
Followers
115
Following
18
Tweets
297.7
Avg Engagement
688
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NeillBlomkamp'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:2010-06-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,204
- Avg Likes per Tweet:213.2
- Avg Retweets per Tweet:84.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,204 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests a loyal and active fan base interested in his work.
213.2
Avg Likes/Tweet
84.4
Avg Retweets/Tweet
683,227
Total Likes
270,467
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
2
Median Retweets
174
75th Percentile
41,857
Top Tweet
2.84
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
28.0%
Original
44.8%
Replies
7.8%
Retweets
19.4%
Quotes
0.0%
Threads
0.8%
With Media
42.6%
With Links
4.9%
With #Tags
64.0%
With @Mentions
0.9%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.6
Reply/Original Ratio
2.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,204 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 251 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 3,204 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 9,998 followersHis followers are likely fans of his films and collaborators, showing interest in his creative output. The audience seems to be engaged with his updates and new projects.
Good
Audience Quality
19.1%
Suspicion Index
18.3%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.6%
Empty Bio
13.0%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
48.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.3%
No URL
8.0%
<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.
13,131,968
Total Potential Reach
58
Median Follower Reach
217
75th Percentile Reach
8.0%
>1K followers
1.4%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.1%
Creators
7,106 accounts
16.0%
Consumers
1,596 accounts
13.0%
Dormant
1,296 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):
250
Verified Followers
2.5% of total
824
Protected Accounts
8.24% 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 |
|---|---|---|---|
| @thegameawards | 1,052,065 | Event Producer | Video games, Awards, Geoff Keighley |
| @elliotrades | 695,467 | Crypto Influencer | Crypto, DeFi, NFTs |
| @NetHistorian | 532,808 | Internet Historian | Internet, Professor, Happenings |
| @HeiraCrypto | 449,144 | - | - |
| @peterndoro | 363,407 | Journalist | Journalism, Broadcasting, Africa |
| @Z0NE | 359,395 | Animator | Flash cartoons, parodies, animation |
| @shl | 307,468 | Entrepreneur | entrepreneurship, investing, writing |
| @farrugiadom | 281,271 | Comedian | Comedy, 20th Century, French |
| @ApoloOhno | 248,941 | Athlete | entrepreneur, ironman, health |
| @TheActMan_YT | 242,759 | YouTuber | Gaming, Acting, Dude-Bro |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,136
Followers With Bio
2,864
Followers Without Bio
71.36%
% With Bio
28.64%
% 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 3,204 analyzed104,738
Combined Engagement
40,858
Total Likes
63,880
Total Retweets
20,948
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @kashthefuturist: This system helps native fish pass over dams in seconds rather than day https://t.co/aAmhHArjPg
District 10 screenplay also being written by @sharlto @territatchell and I. Its coming...
I think I’m back. Starting to make films again.
New @oatsstudios horror material - Oleg vdovenko https://t.co/nWNENXWJbG
RT @SpaceX: More photos from Falcon Heavy's first flight → https://t.co/095WHX44BX https://t.co/6vlXJoYif0
Key Insights & Takeaways
He is actively involved in writing screenplays and collaborating with other creators. He is re-entering the film industry after a period of inactivity. His content is focused on new horror material and film projects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 104,750
- + 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 @NeillBlomkamp reveals an well-established Twitter presence with 104,750 followers. The account demonstrates a conversation-first approach, averaging 297.7 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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