YDL
Breathe. Master the pain. Water Your Plants. … MGMT: @ClayTheMogul
353,289
Followers
1,701
Following
145,188
Tweets
471.6
Avg Engagement
108
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KOJO_Cue'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:2009-07-16
- Verification:No
- Location:Kumasi, Ghana
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:50.2
- Avg Retweets per Tweet:421.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,171 tweetsKOJO_Cue's tweets receive an average of 3,612 likes and 548 retweets, indicating a highly engaged audience. The content often sparks emotional and cultural resonance.
50.2
Avg Likes/Tweet
421.4
Avg Retweets/Tweet
159,127
Total Likes
1,336,187
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
90
75th Percentile
282,046
Top Tweet
1.33
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
26.7%
Original
22.7%
Replies
39.3%
Retweets
11.3%
Quotes
0.0%
Threads
0.3%
With Media
26.1%
With Links
8.4%
With #Tags
67.3%
With @Mentions
18.6%
With Emojis
94
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.85
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 1,245 retweets (39% 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 3,171 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 likely includes music fans, artists, and individuals interested in motivational content. The engagement suggests a community that values both personal expression and cultural references.
Average
Audience Quality
32.5%
Suspicion Index
37.2%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
54.6%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
65.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
33.8%
<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.
17,358,540
Total Potential Reach
16
Median Follower Reach
63
75th Percentile Reach
2.4%
>1K followers
0.2%
>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).
17.3%
Creators
8,634 accounts
28.1%
Consumers
14,059 accounts
54.6%
Dormant
27,307 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):
89
Verified Followers
0.09% of total
3,233
Protected Accounts
3.23% of total
2 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 |
|---|---|---|---|
| @mrmacaronii | 3,473,241 | - | - |
| @GHOneTV | 1,446,105 | Media | Breaking news, Exciting shows, Best Experience |
| @BlaqBonez | 1,164,075 | Rapper | Music, Rap, Album |
| @blacksherif_ | 936,585 | Musician | Music, Ghana, Afrobeat |
| @kwadwosheldon | 890,368 | Content Creator | Disruptor, Content Creator, CEO |
| @unkonfined | 658,561 | Influencer | - |
| @KafuiDey | 535,683 | TV Host | Mental Health, Moderator, TV Host |
| @iamprincekash | 409,819 | - | - |
| @y1025fm | 363,600 | Radio Host | Music, Entertainment, Youth |
| @Kayjnr10 | 329,418 | Entrepreneur | Business, Football, Entrepreneurship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,180
Followers With Bio
35,820
Followers Without Bio
64.18%
% With Bio
35.82%
% 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 3,171 analyzed746,488
Combined Engagement
0
Total Likes
746,488
Total Retweets
149,298
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @neymarjr: Felicidades Hermano 👏🏽 #leomessi https://t.co/5XClpQf15y
RT @shakira: This time for Africa!! 👏🇲🇦 #WorldCup
RT @mcapriglioneart: When you ask me how I'm doing and I say "I'm functioning" this is what I mean https://t.co/lzflqv8tLq
RT @3gerardpique: Culers, us he de dir una cosa. https://t.co/k3V919pm1T
RT @ChuckCallesto: BREAKING REPORT: Major Florida sex trafficking sting operation nabs 160 people including GEORGIA DEPUTY POLICE CHIEF Jas…
Key Insights & Takeaways
KOJO_Cue's content often blends personal reflection with cultural and musical references, creating a unique narrative. Their engagement suggests a strong connection with their audience, particularly around music and motivational themes. The use of emojis and hashtags indicates an effort to foster community and emotional connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 353,289
- + 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 @KOJO_Cue reveals an well-established Twitter presence with 353,289 followers. The account demonstrates a content-creator strategy, averaging 471.6 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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