DJ BL3ND
x_O
164,492
Followers
712
Following
231
Tweets
83.8
Avg Engagement
676
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DJ_BL3ND'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:2009-05-25
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:108
- Avg Likes per Tweet:71.1
- Avg Retweets per Tweet:12.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 108 tweetsTheir tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest.
71.1
Avg Likes/Tweet
12.7
Avg Retweets/Tweet
7,677
Total Likes
1,375
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
74
Median Likes
10
Median Retweets
123
75th Percentile
692
Top Tweet
0.51
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
63.9%
Original
5.6%
Replies
29.6%
Retweets
0.9%
Quotes
0.0%
Threads
0.0%
With Media
71.3%
With Links
6.5%
With #Tags
39.8%
With @Mentions
73.1%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 108 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 32 retweets (30% 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 108 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 followersTheir audience appears to be fans of intense and edgy content, possibly in the music and nightlife scenes.
Average
Audience Quality
29.0%
Suspicion Index
43.0%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.6%
Empty Bio
48.8%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
50.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.0%
No URL
34.4%
<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.
38,228,612
Total Potential Reach
11
Median Follower Reach
65
75th Percentile Reach
3.0%
>1K followers
0.6%
>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).
29.4%
Creators
14,693 accounts
21.8%
Consumers
10,883 accounts
48.8%
Dormant
24,424 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):
108
Verified Followers
0.11% of total
7,438
Protected Accounts
7.36% of total
9 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 |
|---|---|---|---|
| @DJPaulyD | 3,598,613 | DJ | Music, DJing, Booking |
| @VanossGaming | 3,266,580 | Gamer | Gaming, Merch, Personal Account |
| @6BillionPeople | 2,033,250 | - | - |
| @WakaFlocka | 1,855,286 | Gamer | Gaming, Music, Entertainment |
| @Delta | 1,660,139 | Airline | Travel, Customer Service, Aviation |
| @danielsahyounie | 971,833 | Entertainer | comedy, music, social media |
| @LilJon | 878,962 | DJ | Music, Booking, Live Sets |
| @IAmAlanWalker | 855,878 | Musician | Music, Album, Cover |
| @DVBBS | 637,718 | DJ Duo | Music, Travel, Lifestyle |
| @Vh1Supersonic | 588,630 | Music Festival | Music, Lifestyle, Experience |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,324
Followers With Bio
49,675
Followers Without Bio
50.82%
% With Bio
49.18%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 108 analyzed1,731
Combined Engagement
1,453
Total Likes
278
Total Retweets
346
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
BL3ND ENERGY MOTHAFUCKAZ! x_O 🔥😈 https://t.co/kzfp3POpnB
Awesome Night in Tokyo! 東京の素晴らしい夜 x_O 🇯🇵🔥😈 https://t.co/XKiLwlLvs9
Is This Hardcore Enough, Or Can I Go Harder?! x_O https://t.co/8u5xogicqa
Giving Bangkok BL3NDERS that BL3ND ENERGY!! 🔥🇹🇭😈 https://t.co/LmM1tTGJXA
2020 Countdown in Hyderabad! Best way to start the New Year With My India BL3NDERS!! x_O 😈🇮🇳🎆 https://t.co/GDSgLJFfyG
Key Insights & Takeaways
Their content is highly energetic and provocative, often using slang and intense language. They frequently include links, suggesting they promote or share content from other platforms. Their use of emojis and special characters adds to the intensity and style of their tweets.
Strengths
- + Established follower base of 164,492
- + 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 @DJ_BL3ND reveals an growing Twitter presence with 164,492 followers. The account demonstrates a content-creator strategy, averaging 83.8 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access