STREET IS WATCHING ON YOUTUBE
https://t.co/LQ2MPmRfvP
98,899
Followers
1,648
Following
148,569
Tweets
83.0
Avg Engagement
38
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djsliming'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: Mid-Tier (10K+)
- Account Age:2011-02-21
- Verification:No
- Location:Kumasi, Ghana
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:69.4
- Avg Retweets per Tweet:13.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and interest.
69.4
Avg Likes/Tweet
13.6
Avg Retweets/Tweet
225,211
Total Likes
44,185
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
3
Median Retweets
63
75th Percentile
6,446
Top Tweet
0.84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
20.9%
Original
36.4%
Replies
21.0%
Retweets
21.7%
Quotes
0.0%
Threads
0.1%
With Media
54.6%
With Links
19.6%
With #Tags
63.5%
With @Mentions
32.7%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.74
Reply/Original Ratio
1.04
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 3,245 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 681 retweets (21% 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 3,245 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 primarily consists of music enthusiasts and fans of artists they frequently mention.
Average
Audience Quality
27.0%
Suspicion Index
29.1%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.1%
Empty Bio
42.0%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
53.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
23.2%
<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.
49,440,077
Total Potential Reach
26
Median Follower Reach
97
75th Percentile Reach
3.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
25.2%
Creators
12,615 accounts
32.7%
Consumers
16,367 accounts
42.0%
Dormant
21,018 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):
125
Verified Followers
0.14% of total
2,966
Protected Accounts
3.26% of total
4 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 | 14,106,689 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DONJAZZY | 7,556,868 | Music Producer | Music, Mavin, Activated |
| @verified | 4,201,257 | - | - |
| @BeatsByAssassin | 2,267,240 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,038,881 | - | - |
| @EFYA_Nokturnal | 2,011,471 | Musician | Music, Fashion, Entrepreneurship |
| @KameronBennett | 1,810,229 | DJ | Music, DJing, Booking |
| @SiriouslySusan | 1,779,874 | Voice Actor | Voice acting, singing, speaking |
| @1RealJoeyB | 1,766,406 | Musician | Music, Darryl, Messiah |
| @AmeyawDebrah | 1,621,841 | Blogger | Entertainment, Lifestyle, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,205
Followers With Bio
30,721
Followers Without Bio
66.21%
% With Bio
33.79%
% 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 3,245 analyzed22,077
Combined Engagement
19,335
Total Likes
2,742
Total Retweets
4,415
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Mo p3 no style b3n ???? 🤣🤣🤣 https://t.co/dg74SzW6hY
Congratulations @sarkodie . Good album 💿
The things @stonebwoy dey do errrrr … Chale top level shit ❤️🔥
No disrespect but BOB MARLEY is definitely bigger than JAY Z . Big ups KING SARK .. this is HUUUUGGGEEEE 🔥🔥🔥 https://t.co/6jXsk1H5ZE
If the king @sarkodie says it’s blue … fuck it , we all go blue . #Labadisong . I’m ready ma G ✊🏾. @ABNRadioOne https://t.co/cHq18xaj8Z
Key Insights & Takeaways
They often engage with artists and their fans, creating a sense of community around their content. Their tweets include a mix of humor and praise, which likely contributes to their high engagement. They use emojis and casual language to connect with their audience in a relatable way.
Strengths
- + Established follower base of 98,899
- + 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 @djsliming reveals an growing Twitter presence with 98,899 followers. The account demonstrates a conversation-first approach, averaging 83.0 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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