Darkskin™
The Plug 🔌
254,142
Followers
1,714
Following
48,189
Tweets
1,193.3
Avg Engagement
1,396
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Darkskin'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:2010-03-29
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,057
- Avg Likes per Tweet:5.2
- Avg Retweets per Tweet:1,188.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,057 tweetsThe account has a high engagement rate, with tweets receiving a substantial number of likes and retweets, suggesting a loyal and active follower base.
5.2
Avg Likes/Tweet
1,188.0
Avg Retweets/Tweet
16,041
Total Likes
3,631,753
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
6
Median Retweets
36
75th Percentile
3,000,692
Top Tweet
4.7
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
44.8%
Original
21.1%
Replies
32.4%
Retweets
1.7%
Quotes
0.0%
Threads
0.3%
With Media
41.8%
With Links
21.4%
With #Tags
68.9%
With @Mentions
29.3%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.8%
Weekday Posts
24.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,057 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 990 retweets (32% 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 3,057 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 be a mix of general social media users and possibly gaming and esports communities, given the content and mentions.
Excellent
Audience Quality
9.8%
Suspicion Index
14.0%
Low-Quality %
299
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.1%
Empty Bio
8.3%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
8.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.2%
No URL
4.8%
<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.
136,997,058
Total Potential Reach
299
Median Follower Reach
635
75th Percentile Reach
14.5%
>1K followers
2.2%
>10K followers
0.7%
>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).
81.0%
Creators
40,500 accounts
10.7%
Consumers
5,359 accounts
8.3%
Dormant
4,141 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):
297
Verified Followers
0.3% of total
11,975
Protected Accounts
11.97% 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 |
|---|---|---|---|
| @Calum5SOS | 6,922,907 | Musician | Music, Travel, Fitness |
| @RealBlackCoffee | 5,108,453 | DJ | Music, DJing, Booking |
| @TheRealMikeEpps | 3,295,617 | Comedian | Comedy, Acting, Producing |
| @ochocinco | 3,242,382 | Researcher | Football, Gaming, Analytics |
| @Variety | 2,911,367 | Entertainment industry | Entertainment, Business, Variety |
| @RiceGum | 2,621,880 | YouTuber | YouTube, Content Creator, Comedy |
| @scump | 2,270,736 | Professional Gamer | Gaming, eSports, Partner |
| @colortheory | 2,149,735 | Musician | Music, 80s, Synthesizers |
| @6BillionPeople | 2,034,937 | - | - |
| @EFYA_Nokturnal | 2,012,697 | Musician | Music, Fashion, Entrepreneurship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,417
Followers With Bio
23,583
Followers Without Bio
76.42%
% With Bio
23.58%
% 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 3,057 analyzed3,264,426
Combined Engagement
0
Total Likes
3,264,426
Total Retweets
652,885
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @elonmusk: 🎶 Who let the Doge out 🎶
RT @xzibit: No bitch, shits been over for a decade. Get a job. https://t.co/vvgU3MYXga
RT @fatandpaid: Bruh watch til the end 😂😂😂 https://t.co/d9cU7RGgPy
RT @itskerrii: All these perfect people that know how to live life , I’m glad I’m not one of them!
Key Insights & Takeaways
The user frequently interacts with gaming and esports communities, indicating a strong interest in these areas. There is a personal touch with mentions of family, suggesting a balance between personal and public content. The user also engages in discussions about social media platforms like Snapchat and eSports, showing a blend of personal and professional interests.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 254,142
- + 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 @Darkskin reveals an exceptionally influential Twitter presence with 254,142 followers. The account demonstrates a content-creator strategy, averaging 1,193.3 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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