Dusky
D to the U to the S to the K to the Y
72,925
Followers
872
Following
5,186
Tweets
15.9
Avg Engagement
394
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Duskymusic'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:2011-07-07
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:6.4
- Avg Retweets per Tweet:9.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,197 tweetsDuskymusic's tweets receive moderate engagement, with an average of 148 likes and 65 retweets per post.
6.4
Avg Likes/Tweet
9.5
Avg Retweets/Tweet
20,610
Total Likes
30,372
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
10
75th Percentile
20,609
Top Tweet
0.22
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
37.5%
Original
51.6%
Replies
10.5%
Retweets
0.3%
Quotes
0.0%
Threads
0.3%
With Media
28.4%
With Links
2.9%
With #Tags
85.7%
With @Mentions
13.2%
With Emojis
76
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.38
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 335 retweets (10% 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 3,197 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 10,000 followersThe audience primarily consists of fans of electronic music and rave culture, with a focus on younger demographics.
Good
Audience Quality
17.8%
Suspicion Index
19.6%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.7%
Empty Bio
16.5%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
35.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
67.3%
No URL
9.4%
<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.
25,044,411
Total Potential Reach
92
Median Follower Reach
300
75th Percentile Reach
7.9%
>1K followers
1.2%
>10K followers
0.3%
>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).
61.5%
Creators
6,155 accounts
21.9%
Consumers
2,193 accounts
16.5%
Dormant
1,652 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):
56
Verified Followers
0.56% of total
1,213
Protected Accounts
12.13% of total
8 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 | 14,096,871 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MTVMusicUK | 1,264,954 | Entertainment | Music, Entertainment, UK |
| @solalexasch | 681,132 | Musician | Music, Travel, Tattoos |
| @RicciGuarnaccio | 616,079 | DJ | DJing, Worldwide Management, Booking |
| @coldwarsteve | 424,744 | Artist | satire, art, politics |
| @Weinbach | 373,395 | Sports Commentator | Basketball, Sports, Media |
| @mixcloud | 366,098 | Music platform | music, sustainability, support |
| @KingDivine315 | 322,378 | Audio Engineer | music production, food, gaming |
| @ceoworld | 296,376 | CEO | business, leadership, journalism |
| @PierceLilholt | 168,844 | Artist | Art, Lifestyle, Creativity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,028
Followers With Bio
2,972
Followers Without Bio
70.28%
% With Bio
29.72%
% 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 3,197 analyzed22,451
Combined Engagement
396
Total Likes
22,055
Total Retweets
4,490
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @BobbieBeale: Why are 3 people from Scotland that I don't know, tweeting me about killing someone named Lucy...
RT @essentialmix: We found it... Listen here: http://t.co/mFAa86dlRK. Thanks for the memories, Frankie. #RIPFrankieKnuckles http://t.co/mMRp5Bp9g3
Selfie sticks should be banned from raves
RT @shaunrroberts: Hi all. I need some help with some cancer treatment. I know many are hard up at the moment but if you could spare a quid or two i would be most grateful https://t.co/ryxh9dZmRZ xxx
Pure vibes at @WHP_Mcr on Friday. https://t.co/VqgHPL07cz
Key Insights & Takeaways
Duskymusic frequently collaborates with radio stations and music platforms to promote their work They engage with their audience by sharing behind-the-scenes content and lifestyle tips Their content often blends music promotion with cultural commentary and personal expression
Strengths
- + Established follower base of 72,925
- + 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 @Duskymusic reveals an growing Twitter presence with 72,925 followers. The account demonstrates a conversation-first approach, averaging 15.9 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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