djslickstuart
Multi Award winning Dj | Producer | Model | Formerly at @nbstv @nextradio_ug | #MixtapeParty | Bookings: [email protected]
83,534
Followers
623
Following
23,187
Tweets
45.2
Avg Engagement
50
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djSlickStuart'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:2011-12-23
- Verification:No
- Location:Kampala Uganda.
Data Summary
- Tweets Analyzed:3,121
- Avg Likes per Tweet:18.1
- Avg Retweets per Tweet:27.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,121 tweetsdjSlickStuart consistently receives high engagement with an average of 522 likes and 70 retweets per tweet. Their content encourages audience participation through hashtags and direct interaction.
18.1
Avg Likes/Tweet
27.1
Avg Retweets/Tweet
56,629
Total Likes
84,452
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
24
75th Percentile
67,028
Top Tweet
0.54
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
50.8%
Original
15.0%
Replies
23.2%
Retweets
11.0%
Quotes
0.0%
Threads
0.2%
With Media
50.9%
With Links
36.0%
With #Tags
59.5%
With @Mentions
30.8%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,121 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 723 retweets (23% 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 3,121 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 live events, with a focus on younger demographics. They are likely interested in music, entertainment, and social media engagement.
Average
Audience Quality
25.0%
Suspicion Index
24.5%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.0%
Empty Bio
42.2%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
50.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
23.0%
<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.
35,020,144
Total Potential Reach
25
Median Follower Reach
105
75th Percentile Reach
4.1%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22.7%
Creators
11,337 accounts
35.1%
Consumers
17,539 accounts
42.2%
Dormant
21,124 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):
82
Verified Followers
0.1% of total
2,649
Protected Accounts
3.3% 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 | 14,106,750 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,221 | - | - |
| @iRuntown | 2,228,345 | Musician | Music, #SIGNS, Runtown |
| @6BillionPeople | 2,038,879 | - | - |
| @nbstv | 1,634,260 | Media | News, Entertainment, Updates |
| @LeBronJames | 1,006,966 | - | - |
| @Ksheebah1 | 818,759 | Musician | Music, Uganda, Performing |
| @SheilahGashumba | 806,616 | TV Presenter | TV presenting, Brand ambassador, Digital influencing |
| @DouglasLwangaUg | 803,928 | Television Host | Television, Events, Philanthropy |
| @CanaryMugume | 756,211 | Journalist | Investigative journalism, news, truth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,135
Followers With Bio
21,212
Followers Without Bio
73.6%
% With Bio
26.4%
% 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 3,121 analyzed70,186
Combined Engagement
2,761
Total Likes
67,425
Total Retweets
14,037
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: Twitter is purging a lot of spam/scam accounts right now, so you may see your follower count drop
What song do you want me to play for you right now?! Just tweet it with #NBSSNL and you got it! @nbstv it is! https://t.co/PKbgeE9kt4
Where Are You Watch Us From @#NBSSNL @SheilahGashumba @nbstv https://t.co/g0VI8rnFjo
It’s Friday!… https://t.co/yfcXiEBZzG
Friday Lit #NBSKatchUp https://t.co/IyPhKZOKq0
Key Insights & Takeaways
They leverage hashtags like #NBSSNL to drive engagement and promote their brand. Their tweets often include links to social media and events, encouraging further interaction. They maintain a professional yet approachable tone, which helps build a loyal following.
Strengths
- + Established follower base of 83,534
- + 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 @djSlickStuart reveals an growing Twitter presence with 83,534 followers. The account demonstrates a content-creator strategy, averaging 45.2 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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