Self
DJ🎤 DM for Business Inquiries 📩 Like & RT My PINNED Tweet for a Follow Back 🍻
262,842
Followers
1,101
Following
33,296
Tweets
13.7
Avg Engagement
1,313
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djself'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:2009-01-25
- Verification:No
- Location:📍New York City
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:4.3
- Avg Retweets per Tweet:9.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,178 tweetsAverage engagement includes 149 likes and 40 retweets per tweet, indicating a moderately active audience.
4.3
Avg Likes/Tweet
9.4
Avg Retweets/Tweet
13,621
Total Likes
29,958
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
7
75th Percentile
19,838
Top Tweet
0.05
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
85.5%
Original
3.7%
Replies
9.9%
Retweets
0.8%
Quotes
0.0%
Threads
1.0%
With Media
93.8%
With Links
40.3%
With #Tags
37.7%
With @Mentions
9.3%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 316 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 3,178 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 appears to be music enthusiasts and potential business partners interested in collaborations.
Average
Audience Quality
23.6%
Suspicion Index
20.1%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.3%
Empty Bio
18.6%
<10 Tweets
17.1%
Mass Following (>2K)
0.0%
New (<90 days)
57.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.3%
No URL
9.9%
<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.
38,087,424
Total Potential Reach
46
Median Follower Reach
173
75th Percentile Reach
5.1%
>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).
53.5%
Creators
26,750 accounts
27.9%
Consumers
13,930 accounts
18.6%
Dormant
9,320 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):
510
Verified Followers
0.5% of total
11,525
Protected Accounts
11.41% 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 |
|---|---|---|---|
| @Wale | 6,222,311 | Writer | anti-hero, super genius, music |
| @wyclef | 3,733,170 | Musician | music, media, management |
| @questlove | 3,374,047 | Musician | music, drums, food |
| @6BillionPeople | 2,035,159 | - | - |
| @KameronBennett | 1,813,140 | DJ | Music, DJing, Booking |
| @partynextdoor | 1,570,943 | Musician | Music, R&B, Artist |
| @diggy_simmons | 1,449,654 | Musician | Music, Fashion, Entrepreneurship |
| @soledadobrien | 1,318,122 | Journalist | working, mom, journalist |
| @JDaIey | 1,229,877 | Owner | Esports, Gaming, Sponsorship |
| @AriMelber | 960,261 | Journalist | Legal, Politics, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,818
Followers With Bio
30,180
Followers Without Bio
70.12%
% With Bio
29.88%
% 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 3,178 analyzed23,404
Combined Engagement
577
Total Likes
22,827
Total Retweets
4,681
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @common: "If you stick a knife in my back 9 in and pull it out 6 in, there's no progress. If you pull it all the way out, that's not pro…
RT @WuTangClan: Happy Birthday to us! #WuTang https://t.co/EEYo9sLfR5
RT @djkhaled: KEEP GOING
Well there you have it i never asked for a Hug or a drop truth is i said Hi she said hi back never knew she had an Issue with me we only speak when she has a project dropping so by that… https://t.co/ds2Mx5wzAm
My guy @YG in the building, tune in now @Power1051 ! #StillBrazy will be in stores on June 17th! https://t.co/a5UjY2E5BO
Key Insights & Takeaways
The user frequently promotes music and business ventures, suggesting a dual focus on entertainment and monetization. Personal anecdotes and interactions are shared, which may help build a connection with followers. Promotional content is often linked to specific platforms or products, indicating targeted outreach strategies.
Strengths
- + Established follower base of 262,842
- + 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 @djself reveals an growing Twitter presence with 262,842 followers. The account demonstrates a content-creator strategy, averaging 13.7 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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