Dash Berlin
Same legendary producers, new frontman. #musicislife Pre-save our collab with @alanwalker and @Vikkstar123 https://lnk.to/BetterOffAlone…
497.230
Followers
3.825
Following
621
Tweets
638,9
Avg Engagement
2.471
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DashBerlin'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:2009-03-06
- Verification:No
- Location:The Hague, NL
Data Summary
- Tweets Analyzed:272
- Avg Likes per Tweet:33,9
- Avg Retweets per Tweet:605,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 272 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating a loyal fan base. Promotional tweets, such as pre-saves and collaborations, drive interaction.
33,9
Avg Likes/Tweet
605,0
Avg Retweets/Tweet
9.228
Total Likes
164.562
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
38
75th Percentile
134.242
Top Tweet
1,28
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
23,2%
Original
40,8%
Replies
33,1%
Retweets
2,9%
Quotes
0,0%
Threads
5,9%
With Media
37,1%
With Links
34,2%
With #Tags
78,3%
With @Mentions
36,8%
With Emojis
110
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,76
Reply/Original Ratio
0,09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,1%
Weekday Posts
27,9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 272 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 90 retweets (33% 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 272 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 is primarily music enthusiasts, especially fans of electronic and dance music. They are likely active on social media and interested in new releases and collaborations.
Average
Audience Quality
28,8%
Suspicion Index
33,0%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,5%
Empty Bio
37,4%
<10 Tweets
9,0%
Mass Following (>2K)
0,0%
New (<90 days)
64,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
84,2%
No URL
25,5%
<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.
43.533.644
Total Potential Reach
14
Median Follower Reach
77
75th Percentile Reach
3,4%
>1K followers
0,5%
>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).
38,5%
Creators
19.243 accounts
24,1%
Consumers
12.037 accounts
37,4%
Dormant
18.720 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):
401
Verified Followers
0.4% of total
10.306
Protected Accounts
10.2% 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 | 14.105.067 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MTVBrasil | 2.552.354 | - | - |
| @NileFM | 2.526.799 | Radio Station | Music, Artists, Entertainment |
| @THEBEAT999FM | 2.396.613 | Radio Host | Entertainment, News, Sports |
| @6BillionPeople | 2.036.456 | - | - |
| @etnow | 1.941.121 | Entertainment | Entertainment, ET, News |
| @KameronBennett | 1.812.774 | DJ | Music, DJing, Booking |
| @inna_ro | 1.453.275 | Singer | Music, Flashbacks, Artist |
| @MTVMusicUK | 1.273.766 | Entertainment | Music, Entertainment, UK |
| @DavidVonderhaar | 1.120.895 | Game Developer | Gaming, Development, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56.775
Followers With Bio
44.222
Followers Without Bio
56.21%
% With Bio
43.79%
% 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 272 analyzed162.835
Combined Engagement
2.021
Total Likes
160.814
Total Retweets
32.567
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @FIFAWorldCup: ARGENTINA ARE WORLD CHAMPIONS!! 🇦🇷 #FIFAWorldCup | #Qatar2022
RT @CraigWeekend: https://t.co/jIppYhCHAC
RT @JoePompliano: Well this is incredible — photographer Eric Brummel (@Brummo) stabilized his camera to capture the earth's rotation 🤯 htt…
Music is life.
Thank you @arminvanbuuren for playing our new tune @asot #ASOT900 😍 https://t.co/Ed0nw6EwWv
Key Insights & Takeaways
The account leverages collaborations with well-known artists to boost visibility and credibility. Promotional content, like pre-saves and album announcements, is a key strategy for audience retention. Engagement is driven by a mix of music-related updates and direct interactions with fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 497.230
- + 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 @DashBerlin reveals an well-established Twitter presence with 497.230 followers. The account demonstrates a conversation-first approach, averaging 638,9 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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