Dirty Hit
We are an Independent record label based in West London releasing music by artists we love.
112,433
Followers
562
Following
19,260
Tweets
289.4
Avg Engagement
341
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DirtyHit'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:2011-06-13
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,099
- Avg Likes per Tweet:99.7
- Avg Retweets per Tweet:189.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,099 tweetsThe label's tweets receive high average likes and retweets, indicating strong audience interaction. Their content is well-received and shared across their followers.
99.7
Avg Likes/Tweet
189.7
Avg Retweets/Tweet
309,071
Total Likes
587,822
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
75
75th Percentile
149,953
Top Tweet
2.57
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26.5%
Original
5.8%
Replies
64.3%
Retweets
3.4%
Quotes
0.0%
Threads
0.9%
With Media
74.0%
With Links
16.4%
With #Tags
93.3%
With @Mentions
40.9%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
91.9%
Weekday Posts
8.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,099 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 1,994 retweets (64% 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 3,099 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 followersTheir audience is likely music enthusiasts and fans of emerging artists. They are engaged with content that highlights both mainstream and indie music.
Good
Audience Quality
15.7%
Suspicion Index
23.1%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.6%
Empty Bio
18.5%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
30.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.3%
No URL
11.7%
<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.
19,165,396
Total Potential Reach
55
Median Follower Reach
259
75th Percentile Reach
7.5%
>1K followers
0.4%
>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).
64.2%
Creators
6,425 accounts
17.2%
Consumers
1,724 accounts
18.5%
Dormant
1,851 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):
21
Verified Followers
0.21% of total
1,926
Protected Accounts
19.26% of total
5 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 | 14,093,769 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jackantonoff | 451,556 | Musician | Music, Bleachers, Songwriting |
| @JenniferJadeXXX | 194,236 | Adult entertainer | Adult, Model, Fitness |
| @k8_thornton | 159,558 | TV Presenter | TV, Radio, Management |
| @BeatlesEarth | 139,902 | - | - |
| @SelenaTheWinner | 119,216 | Fan Account | Selena Gomez, F.A.N., news |
| @JMusicAlert | 108,545 | Music Blogger | music, updates, reviews |
| @TheHouseEst2011 | 103,897 | Music Promoter | Music Promotion, Marketing Contracts, Testimonials |
| @Lyndonx | 101,062 | Life Coach | Self-improvement, Life challenges, Sharing experiences |
| @LouiseLeeXXX1 | 95,353 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,539
Followers With Bio
3,461
Followers Without Bio
65.39%
% With Bio
34.61%
% 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 3,099 analyzed262,387
Combined Engagement
50,438
Total Likes
211,949
Total Retweets
52,477
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @taylorswift13: I’m enchanted to announce my next tour: Taylor Swift | The Eras Tour, a journey through the musical eras of my career (past & present!) The first leg of the tour will be in stadiums across the US, with international dates to be announced as soon as we can!
The City @taylorswift13's version https://t.co/FEBvfZ27qq
RT @MarcusRashford: 📍 https://t.co/6VvpmUuW34
DH01242 @the1975 https://t.co/P4CK8pFxvn https://t.co/sgEL2Z2f9Q
RT @rinasawayama: Hold The Girl The new album September 2 2022 https://t.co/1r1X9PKSmk https://t.co/nw59Im5ra4
Key Insights & Takeaways
They focus on promoting both established and up-and-coming artists. Collaborations with well-known artists like Taylor Swift boost engagement. Their content is tailored to appeal to music lovers and fans of indie and alternative genres.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 112,433
- + 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 @DirtyHit reveals an well-established Twitter presence with 112,433 followers. The account demonstrates a content-creator strategy, averaging 289.4 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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