DVBBS
KANARY RECORDS
626,629
Followers
7,253
Following
31,214
Tweets
785.1
Avg Engagement
882
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DVBBS'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:2011-08-25
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:435.3
- Avg Retweets per Tweet:349.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,206 tweetsDVBBS's tweets typically receive high engagement, with an average of 3,788 likes and 1,763 retweets per post. Their content is well-received and widely shared.
435.3
Avg Likes/Tweet
349.8
Avg Retweets/Tweet
1,395,663
Total Likes
1,121,487
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
215
Median Likes
69
Median Retweets
950
75th Percentile
454,213
Top Tweet
1.25
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
59.8%
Original
2.3%
Replies
27.2%
Retweets
10.7%
Quotes
0.0%
Threads
0.1%
With Media
67.2%
With Links
5.7%
With #Tags
35.1%
With @Mentions
35.6%
With Emojis
61
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,206 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 872 retweets (27% 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 3,206 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 primarily consists of music enthusiasts and fans of electronic dance music. They are likely aged between 18-35 and active on social media.
Average
Audience Quality
28.2%
Suspicion Index
28.9%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
37.7%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
65.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.9%
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.
186,930,522
Total Potential Reach
13
Median Follower Reach
82
75th Percentile Reach
3.7%
>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
19,254 accounts
23.8%
Consumers
11,884 accounts
37.7%
Dormant
18,862 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):
474
Verified Followers
0.47% of total
10,163
Protected Accounts
10.06% of total
6 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 |
|---|---|---|---|
| @justinbieber | 113,102,992 | Singer | Music, Justice, Album |
| @MTV | 17,689,243 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,105,341 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KimberlyLoaiza_ | 8,545,706 | Influencer | Family, Music, Fashion |
| @PostMalone | 7,013,466 | Musician | Music, Tattoos, Beer |
| @cleo | 2,817,331 | Actress/Singer | Actress, Singer, Jungle |
| @adamlambert | 2,296,762 | Singer | Music, Performance, LGBTQ+ |
| @iamblackbear | 1,916,775 | Musician | Music, Tattoos, Fashion |
| @ericnamofficial | 1,670,888 | Singer | Music, Travel, Food |
| @jacobsartorius | 1,545,094 | Singer | music, singer, EP |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,961
Followers With Bio
40,037
Followers Without Bio
60.36%
% With Bio
39.64%
% 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 3,206 analyzed544,936
Combined Engagement
20,199
Total Likes
524,737
Total Retweets
108,987
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @caseykfrey: Get tf out my way type way. @dvbbs @xxbridge https://t.co/IOteUR8KLN
RT @jjkmoonchiId: IM SICKDJJDJDJFJJFCFJD https://t.co/lp1haMnNNj
RT @iamblackbear: i dont wanna care
@caseykfrey @xxbridge PLEASE BE IN THE FUCKING MUSIC VIDEO 🔥🙏🏼🤣 GIVE THE PEOPLE WHAT THEY WANT SIR
RT @iamblackbear: hope u dont cry no more
Key Insights & Takeaways
DVBBS focuses on promoting new music releases and collaborations Their tweets often include links to music and artist profiles They engage with fans by sharing emotional and impactful messages
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 626,629
- + 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 @DVBBS reveals an well-established Twitter presence with 626,629 followers. The account demonstrates a content-creator strategy, averaging 785.1 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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