Luke LaBeau
Founder | Head of Development @WelcomeVillain 😈🎥 💀🎃
49,272
Followers
3,006
Following
816
Tweets
703.8
Avg Engagement
1,135
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LukeOfHorror'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:2009-03-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:7.0
- Avg Retweets per Tweet:696.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 598 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The use of emojis and hyperbolic language helps drive engagement.
7.0
Avg Likes/Tweet
696.7
Avg Retweets/Tweet
4,193
Total Likes
416,653
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
19
75th Percentile
134,977
Top Tweet
14.28
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
16.7%
Original
28.8%
Replies
35.6%
Retweets
18.9%
Quotes
0.0%
Threads
0.2%
With Media
45.8%
With Links
39.1%
With #Tags
79.9%
With @Mentions
56.9%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.72
Reply/Original Ratio
0.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.1%
Weekday Posts
17.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 213 retweets (36% 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 598 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 primarily consists of horror movie enthusiasts and fans of the Child's Play franchise. They are likely interested in dark humor, gore, and nostalgic content.
Good
Audience Quality
13.2%
Suspicion Index
15.0%
Low-Quality %
154
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.3%
Empty Bio
10.5%
<10 Tweets
16.6%
Mass Following (>2K)
0.0%
New (<90 days)
18.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
60.5%
No URL
5.6%
<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.
152,766,479
Total Potential Reach
154
Median Follower Reach
489
75th Percentile Reach
13.6%
>1K followers
2.2%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.8%
Creators
34,923 accounts
19.7%
Consumers
9,842 accounts
10.5%
Dormant
5,235 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):
715
Verified Followers
1.42% of total
4,849
Protected Accounts
9.66% of total
11 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 | 14,105,746 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TomCruise | 7,001,449 | Actor | Movies, Running, Acting |
| @Sony | 5,796,565 | Electronics | technology, entertainment, innovation |
| @20thcentury | 4,705,560 | Film Studio | Movies, Entertainment, Ron's Gone Wrong |
| @Slash | 3,589,672 | Musician | Music, Guitar, Rock |
| @ParamountPics | 3,561,395 | Film Studio | Movies, Entertainment, Hollywood |
| @THR | 3,460,479 | Entertainment News | Entertainment, News, Reviews |
| @Variety | 2,909,792 | Entertainment industry | Entertainment, Business, Variety |
| @BeatsByAssassin | 2,266,227 | Multitalented | Actor, Director, Rapper |
| @MTVteenwolf | 2,173,222 | TV Show | TV shows, Teen drama, Supernatural |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,030
Followers With Bio
12,190
Followers Without Bio
75.73%
% With Bio
24.27%
% 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 598 analyzed334,610
Combined Engagement
0
Total Likes
334,610
Total Retweets
66,922
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @blackmirror: You should've seen it coming. https://t.co/E5bYvVJjik
RT @jokermovie: Put on a happy face. #JokerMovie - in theaters October 4. https://t.co/TxF3Jqxjjr
RT @JordanPeele: ‘Us’ is a horror movie.
RT @RamboMovie: They drew first blood. He will draw last. #Rambo Last Blood – In theaters September 20. https://t.co/QI7YohiovO
RT @ITMovieOfficial: IT ends September 6. Trailer TOMORROW 9AM PT. 🎈🎈#ITMovie https://t.co/JY6o96JioH
Key Insights & Takeaways
He leverages nostalgia and horror tropes to connect with his audience. His content often includes humor and shock value to stand out. He actively engages with his followers through retweets and likes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 49,272
- + 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 @LukeOfHorror reveals an well-established Twitter presence with 49,272 followers. The account demonstrates a conversation-first approach, averaging 703.8 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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