DJ SCREAM
GOD is GREAT! ( [email protected] ) https://linktr.ee/djscream @bigfactspod @hoodrichradio
381,381
Followers
1,408
Following
51,135
Tweets
299.4
Avg Engagement
1,400
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DJSCREAM'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:2009-02-01
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:8.3
- Avg Retweets per Tweet:291.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,190 tweetsThe account shows a balanced engagement rate, with a mix of likes and retweets, suggesting a diverse and active follower base.
8.3
Avg Likes/Tweet
291.1
Avg Retweets/Tweet
26,393
Total Likes
928,735
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
18
75th Percentile
116,450
Top Tweet
0.79
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
40.5%
Original
5.2%
Replies
48.3%
Retweets
5.9%
Quotes
0.0%
Threads
0.0%
With Media
47.5%
With Links
15.3%
With #Tags
76.6%
With @Mentions
27.9%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 1,541 retweets (48% 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 3,190 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 likely includes investors and entertainment enthusiasts, given the mix of financial and media-related content.
Average
Audience Quality
26.4%
Suspicion Index
24.0%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.0%
Empty Bio
29.3%
<10 Tweets
15.5%
Mass Following (>2K)
0.0%
New (<90 days)
62.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.6%
No URL
20.0%
<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.
61,024,464
Total Potential Reach
33
Median Follower Reach
143
75th Percentile Reach
5.2%
>1K followers
0.7%
>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).
44.7%
Creators
22,371 accounts
25.9%
Consumers
12,958 accounts
29.3%
Dormant
14,671 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):
771
Verified Followers
0.76% of total
8,780
Protected Accounts
8.69% 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 |
|---|---|---|---|
| @JohnCena | 14,104,042 | Wrestler | Wrestling, Motivation, Self-promotion |
| @russdiemon | 2,178,418 | Musician | Music, Entrepreneurship, Motivation |
| @Kandi | 1,967,953 | Reality TV Star | Singer, Songwriter, Real Housewives |
| @KameronBennett | 1,813,002 | DJ | Music, DJing, Booking |
| @DailyLoud | 1,679,466 | Music Blogger | Hip-Hop, Music, Updates |
| @KwestaDaKAR | 1,516,001 | Musician | Music, Booking, Events |
| @soledadobrien | 1,318,428 | Journalist | working, mom, journalist |
| @BigBoi | 1,310,606 | Musician | Music, Collaboration, Announcement |
| @MTVMusicUK | 1,273,604 | Entertainment | Music, Entertainment, UK |
| @joncoopertweets | 1,255,201 | Political Strategist | Politics, Fundraising, Campaigns |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,349
Followers With Bio
25,650
Followers Without Bio
74.6%
% With Bio
25.4%
% 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 3,190 analyzed417,485
Combined Engagement
0
Total Likes
417,485
Total Retweets
83,497
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @HamlinIsland: Putting love into the world comes back 3xs as much… thankful for everyone who has reached out and prayed. This will make…
RT @kendricklamar: The Heart Part 5 https://t.co/DlnQO2g5nw
RT @StephenCurry30: What they gonna say now??? https://t.co/4dV4iT69ZH
RT @AdamSchefter: Tom Brady is retiring from football after 22 extraordinary seasons, multiple sources tell @JeffDarlington and me. More…
RT @HamlinIsland: The love is felt, & extremely real. No matter race or religion everybody coming together in prayer! 🙏❤️
Key Insights & Takeaways
The user frequently shares financial insights and stock recommendations, indicating an interest in investing. They also engage with entertainment figures and media outlets, suggesting a crossover appeal. The use of emojis and energetic language suggests a more casual and motivational tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 381,381
- + 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 @DJSCREAM reveals an well-established Twitter presence with 381,381 followers. The account demonstrates a content-creator strategy, averaging 299.4 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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