#KOTW
DJ's/TV presenter/ Entrepreneur #KingsOfTheWeekend. [email protected]/ 0823051494 Sundowns Supporter
281,460
Followers
2,988
Following
88,087
Tweets
11.8
Avg Engagement
209
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DJNAVES'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:2009-04-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:9.7
- Avg Retweets per Tweet:2.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsDJNAVES has a high average engagement rate with over 1,000 likes and 134 retweets per tweet. Their content is well-received, indicating a strong and active community around their brand.
9.7
Avg Likes/Tweet
2.1
Avg Retweets/Tweet
31,490
Total Likes
6,937
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
3
75th Percentile
2,310
Top Tweet
0.04
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
13.5%
Original
27.8%
Replies
4.6%
Retweets
54.1%
Quotes
0.0%
Threads
0.0%
With Media
65.6%
With Links
3.9%
With #Tags
36.6%
With @Mentions
6.3%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.06
Reply/Original Ratio
11.87
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 148 retweets (5% 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 3,248 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 is primarily interested in entertainment, events, and lifestyle content. The followers are likely fans of their TV work, music, and entrepreneurial ventures.
Average
Audience Quality
25.1%
Suspicion Index
27.2%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.0%
Empty Bio
35.8%
<10 Tweets
14.7%
Mass Following (>2K)
0.0%
New (<90 days)
45.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
22.5%
<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.
47,397,942
Total Potential Reach
58
Median Follower Reach
259
75th Percentile Reach
8.7%
>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).
34.9%
Creators
17,465 accounts
29.3%
Consumers
14,627 accounts
35.8%
Dormant
17,908 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):
58
Verified Followers
0.06% of total
5,509
Protected Accounts
5.51% of total
5 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 |
|---|---|---|---|
| @Bonang | 5,561,532 | TV Host | Fashion, Entertainment, Luxury |
| @METROFMSA | 2,376,036 | Radio Broadcaster | Music, Entertainment, News |
| @KameronBennett | 1,812,792 | DJ | Music, DJing, Booking |
| @ChrisExcel102 | 1,658,790 | Influencer | Savage, AssHole, King |
| @KinaataGh | 1,533,525 | Musician | Music, EffiaKuma, TeamMooove |
| @FloydShivambu | 1,394,676 | Politician | Dialectical Materialism, Labour Theory of Value, Revolution |
| @SinghLions | 1,334,554 | Restaurateur | Food, Travel, Influencer |
| @Omojuwa | 1,232,756 | Influencer | Tweets, my view, Author |
| @TheRealPitso | 1,214,712 | Football Coach | Football, Coaching, Awards |
| @tumisole | 814,094 | Influencer | Running, Corporate, Influential |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,351
Followers With Bio
30,649
Followers Without Bio
69.35%
% With Bio
30.65%
% 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 3,248 analyzed8,402
Combined Engagement
5,471
Total Likes
2,931
Total Retweets
1,680
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @secondtierpod: Adel Taarabt 🇲🇦 The ultimate “streets won’t forget” footballer and a Championship legend. Here’s a thread of his best…
Please do check this out https://t.co/neP9sct9cS https://t.co/E55Ky6rPny
Let us focus on CAF things @Masandawana https://t.co/trMuv7feR8
Location!!! https://t.co/VLE7gpEluB
Champs https://t.co/lT1JAD0OaB
Key Insights & Takeaways
Their content often includes links to bookings and promotions, suggesting a focus on monetization and event management. They frequently share links to external content, which may indicate partnerships or affiliate marketing. Their verified status is low, which could mean they are building trust through consistent engagement rather than verification.
Strengths
- + Established follower base of 281,460
- + 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 @DJNAVES reveals an growing Twitter presence with 281,460 followers. The account demonstrates a conversation-first approach, averaging 11.8 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.
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