1,268,565
Followers
1,354
Following
63,777
Tweets
502.4
Avg Engagement
383
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djkaywise'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: Mega Influencer (1M+)
- Account Age:2011-06-10
- Verification:No
- Location:Lagos, Nigeria
Data Summary
- Tweets Analyzed:3,167
- Avg Likes per Tweet:353.2
- Avg Retweets per Tweet:149.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,167 tweetsdjkaywise's tweets consistently receive high engagement, with an average of 11,646 likes and 1,642 retweets per tweet. This indicates a loyal and active fan base that interacts regularly with their content.
353.2
Avg Likes/Tweet
149.2
Avg Retweets/Tweet
1,118,519
Total Likes
472,590
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
115
Median Likes
19
Median Retweets
405
75th Percentile
338,012
Top Tweet
0.4
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
59.4%
Original
1.3%
Replies
13.6%
Retweets
25.7%
Quotes
0.0%
Threads
0.0%
With Media
68.4%
With Links
78.9%
With #Tags
34.6%
With @Mentions
55.7%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
1.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,167 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 430 retweets (14% 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 3,167 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 fans of music, particularly in the Nigerian entertainment industry, and individuals interested in personal achievements and lifestyle content. They are likely aged between 18-40 and active on social media.
Average
Audience Quality
32.6%
Suspicion Index
40.7%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.5%
Empty Bio
49.3%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
68.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
26.9%
<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.
3,082,902
Total Potential Reach
9
Median Follower Reach
31
75th Percentile Reach
0.6%
>1K followers
0.0%
>10K followers
0.0%
>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).
15.1%
Creators
7,543 accounts
35.6%
Consumers
17,788 accounts
49.3%
Dormant
24,669 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):
23
Verified Followers
0.02% of total
2,237
Protected Accounts
2.24% of total
1 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 |
|---|---|---|---|
| @Ugaman01 | 163,232 | Digital Strategist | Digital Strategy, Building Future, Music |
| @Ibrahim_mikiya | 105,704 | - | - |
| @kvnq_rajj | 82,083 | - | - |
| @IsiakaAdeleke1 | 69,988 | - | - |
| @Mummygotolulope | 55,574 | Digital Marketer | Online PR, Digital Marketer, Afrobeat |
| @cm_architectsza | 43,874 | Architect | Entrepreneurship, Architecture, Property Development |
| @Therealshola001 | 43,819 | Influencer | Aesthetic, WAGMI, Yoga |
| @muzikikenya | 39,618 | - | - |
| @seyi__vibez | 31,907 | - | - |
| @MLBinWA | 28,991 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,855
Followers With Bio
51,145
Followers Without Bio
48.86%
% With Bio
51.14%
% 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 3,167 analyzed424,822
Combined Engagement
77,086
Total Likes
347,736
Total Retweets
84,964
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
How it started How it’s going https://t.co/a6V5XaY4fA
Congratulations to Me ! House No5 🙏 Happy Birthday 🎂🤴 #Okiki #Thia #MummyKaywise #JoorNation https://t.co/8jyCf7Ndjn
Congrats Burna Boy X Starboy @wizkidayo @burnaboy 👑👑 #JoorNation
Billionaire DJ 💰 Drop Aza! #Okiking https://t.co/hNl5OLhso6
Key Insights & Takeaways
The account frequently shares personal milestones and celebrations, indicating a focus on building a personal brand and connecting with fans. Promotional content for music and events is a key part of their strategy, suggesting an emphasis on brand visibility and fan interaction. Their use of hashtags and links to external content highlights a strategy to drive traffic and increase visibility across platforms.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,268,565
- + 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 @djkaywise reveals an well-established Twitter presence with 1,268,565 followers. The account demonstrates a content-creator strategy, averaging 502.4 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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