Beetlejuice Green
https://www.facebook.com/unsupportedbrowser I ask him the questions, show him the video/pic and tweet his response word for word @bobby_rooney
447,941
Followers
271
Following
6,364
Tweets
1,569.2
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Beetlepimp'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:2011-02-03
- Verification:No
- Location:King of the Wack Pack
Data Summary
- Tweets Analyzed:3,163
- Avg Likes per Tweet:1,301.8
- Avg Retweets per Tweet:267.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,163 tweetsHis tweets receive substantial engagement, with an average of 74,286 likes and 10,998 retweets per tweet, indicating a highly active and interested audience.
1,301.8
Avg Likes/Tweet
267.3
Avg Retweets/Tweet
4,117,679
Total Likes
845,613
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
203
Median Likes
42
Median Retweets
975
75th Percentile
174,335
Top Tweet
3.5
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
42.2%
Original
2.6%
Replies
30.1%
Retweets
25.1%
Quotes
0.0%
Threads
0.3%
With Media
85.2%
With Links
9.3%
With #Tags
37.9%
With @Mentions
3.1%
With Emojis
70
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.83
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.4%
Weekday Posts
32.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,163 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 953 retweets (30% 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 3,163 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 likely includes fans of celebrities and individuals interested in celebrity interactions and behind-the-scenes content.
Average
Audience Quality
21.7%
Suspicion Index
29.1%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
21.6%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
50.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
14.0%
<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.
25,349,011
Total Potential Reach
27
Median Follower Reach
120
75th Percentile Reach
2.8%
>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).
58.2%
Creators
29,101 accounts
20.2%
Consumers
10,086 accounts
21.6%
Dormant
10,813 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):
645
Verified Followers
0.64% of total
13,612
Protected Accounts
13.48% of total
6 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 |
|---|---|---|---|
| @jakepaul | 4,595,919 | Boxer | Boxing, Influencer, Content Creator |
| @DaithiDeNogla | 1,961,048 | YouTuber | Gaming, Faith, Relationship |
| @Idubbbz | 1,368,195 | YouTuber | boy, boxer, mullet |
| @JDaIey | 1,228,482 | - | - |
| @BRANDONWARDELL | 585,497 | Comedian | comedy, tour, social media |
| @DavidAyerMovies | 539,195 | Filmmaker | movies, writing, directing |
| @OccupyDemocrats | 538,994 | Political Activist | Progressive, Grassroots, Politics |
| @FUT23News | 485,808 | - | - |
| @alexstein99 | 479,484 | Podcaster | Cats, Conspiracy Theories, Texas Politics |
| @calebpressley | 435,303 | Influencer | crypto, investing, humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,805
Followers With Bio
43,194
Followers Without Bio
57.23%
% With Bio
42.77%
% 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 3,163 analyzed644,640
Combined Engagement
492,677
Total Likes
151,963
Total Retweets
128,928
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Happy Easter everyone https://t.co/s32a3egUfb
Be careful little meatball https://t.co/OzUb84k5Aa
Can’t hide forever.. @jakepaul https://t.co/xyIqr7GyvL
Just makin sure my guy @LILUZIVERT is ok https://t.co/8oSz46V47i
RT @TheNotoriousMMA: The champ champ https://t.co/iprUKL0Ldx
Key Insights & Takeaways
He focuses on direct engagement with celebrities, often sharing their unfiltered responses. He uses a mix of personal and public content to maintain audience interest. His content is likely driven by curiosity and a desire for authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 447,941
- + 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 @Beetlepimp reveals an exceptionally influential Twitter presence with 447,941 followers. The account demonstrates a content-creator strategy, averaging 1,569.2 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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