Cocaine Bear
The bear who ate cocaine. see for yourself on @peacock.
71,671
Followers
12
Following
1,014
Tweets
1,126.9
Avg Engagement
72
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cocainebear'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:2021-08-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:798
- Avg Likes per Tweet:1,005.6
- Avg Retweets per Tweet:121.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 798 tweetsCocainebear's tweets consistently receive high engagement, with an average of 52,219 likes and 7,014 retweets per tweet. This indicates a strong and active community that resonates with the content.
1,005.6
Avg Likes/Tweet
121.3
Avg Retweets/Tweet
802,489
Total Likes
96,787
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
1
Median Retweets
112
75th Percentile
384,908
Top Tweet
15.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8.3%
Original
86.1%
Replies
1.3%
Retweets
4.4%
Quotes
0.0%
Threads
0.1%
With Media
15.9%
With Links
0.9%
With #Tags
87.0%
With @Mentions
3.1%
With Emojis
39
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.41
Reply/Original Ratio
3.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.8%
Weekday Posts
11.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 798 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 10 retweets (1% 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 798 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 appears to enjoy dark humor, surreal storytelling, and content that blurs the line between reality and fiction. They are likely interested in creative and unconventional social media personas.
Good
Audience Quality
17.3%
Suspicion Index
16.2%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.1%
Empty Bio
8.9%
<10 Tweets
14.3%
Mass Following (>2K)
0.0%
New (<90 days)
43.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.2%
No URL
5.2%
<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.
42,625,842
Total Potential Reach
71
Median Follower Reach
251
75th Percentile Reach
7.4%
>1K followers
0.9%
>10K followers
0.2%
>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).
77.8%
Creators
38,904 accounts
13.3%
Consumers
6,646 accounts
8.9%
Dormant
4,450 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):
498
Verified Followers
0.65% of total
7,430
Protected Accounts
9.75% 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 |
|---|---|---|---|
| @JohnCena | 14,106,437 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,078 | - | - |
| @THR | 3,460,808 | Entertainment News | Entertainment, News, Reviews |
| @jaketapper | 3,170,270 | Journalist | News, Politics, Journalism |
| @ElizabethBanks | 2,185,949 | Actress | Comedy, Acting, Movies |
| @weirddalle | 1,349,051 | - | - |
| @RexChapman | 1,254,674 | Commentator | Basketball, Horse racing, Commentary |
| @jessetyler | 1,167,419 | Actor | food, cooking, LGBTQ+ |
| @kenjeong | 1,009,749 | Comedian | Fart jokes, science, public health |
| @DiscussingFilm | 937,558 | Film Critic | Movies, TV, Pop Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,334
Followers With Bio
19,871
Followers Without Bio
73.92%
% With Bio
26.08%
% 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 798 analyzed507,063
Combined Engagement
447,466
Total Likes
59,597
Total Retweets
101,413
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
I'm the bear who ate cocaine. This is my story. https://t.co/txBSiUl5hL
coke is always better https://t.co/rmwh1XelD9
i’m a bear on cocaine. he’s just a guy with a mask https://t.co/Cz2XL7SuNa
@OTerrifying told you i can climb trees
tell 'em scott https://t.co/MRVF8EyN0X
Key Insights & Takeaways
The account uses a fictional persona to create a unique and engaging narrative. It leverages humor and absurdity to captivate its audience. High engagement suggests a dedicated fanbase that enjoys the content's creativity and unpredictability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 71,671
- + 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 @cocainebear reveals an exceptionally influential Twitter presence with 71,671 followers. The account demonstrates a conversation-first approach, averaging 1,126.9 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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