Kojo Anim
Comedian/Writer/Actor
59,876
Followers
1,727
Following
4,149
Tweets
123.1
Avg Engagement
376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kojoanimlive'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:2009-02-05
- Verification:No
- Location:London/LA 📍
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:50.6
- Avg Retweets per Tweet:72.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,173 tweetsThe account has high engagement, with an average of 10,748 likes and 1,579 retweets per tweet, indicating a loyal and active follower base.
50.6
Avg Likes/Tweet
72.5
Avg Retweets/Tweet
160,545
Total Likes
229,899
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
21
75th Percentile
118,579
Top Tweet
2.06
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
55.6%
Original
3.8%
Replies
22.8%
Retweets
17.8%
Quotes
0.0%
Threads
0.2%
With Media
49.8%
With Links
33.3%
With #Tags
39.3%
With @Mentions
26.3%
With Emojis
125
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 725 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 3,173 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 10,000 followersThe audience appears to be a mix of comedy enthusiasts and fans who appreciate personal and heartfelt content.
Good
Audience Quality
17.1%
Suspicion Index
18.2%
Low-Quality %
130
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.9%
Empty Bio
9.5%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
32.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.7%
No URL
5.6%
<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.
34,440,848
Total Potential Reach
130
Median Follower Reach
428
75th Percentile Reach
12.2%
>1K followers
1.6%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.6%
Creators
7,562 accounts
14.8%
Consumers
1,484 accounts
9.5%
Dormant
954 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):
64
Verified Followers
0.64% of total
1,341
Protected Accounts
13.41% of total
8 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 | 14,075,201 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MI_Abaga | 2,040,163 | Rapper | Music, Yung DenzL, TBDK |
| @funnyfacegh | 1,282,692 | Comedian | comedy, entertainment, social media |
| @richardosman | 1,262,926 | TV Presenter | TV, Quiz shows, Comedy |
| @ALIBABAGCFR | 948,469 | Comedian | Comedy, Motivation, TV |
| @BGT | 782,837 | Entertainment | Entertainment, Talent, TV |
| @RomeshRanga | 703,792 | - | - |
| @KafuiDey | 544,757 | TV Host | Mental Health, Moderator, TV Host |
| @JasonManford | 455,989 | Comedian | podcast, comedy, entertainment |
| @clbleakley | 419,514 | TV Presenter | Family, TV presenter, Charity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,913
Followers With Bio
3,087
Followers Without Bio
69.13%
% With Bio
30.87%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,173 analyzed301,412
Combined Engagement
100,804
Total Likes
200,608
Total Retweets
60,282
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @naima: First of all... who edited this? This is amazing work. https://t.co/nBCUuP6FFD
Pep wanted to hit him! 🤣🤣🤣🤣🤣🤣🤣🤣 #LIVMCI https://t.co/libZoI0dUL
RT @anthonyfjoshua: My hope is that someone sees my page and decides not to give up. Clean hearts win 🖤 https://t.co/yBrHeLq19q
RT @LFC: 269 games 🏟️ 120 goals ⚽ 38 assists 🅰️ Thank you, Sadio ❤ https://t.co/LGnewTBXld
RT @NBCNews: BREAKING: 'Saved by the Bell' star Dustin Diamond has died at age 44, weeks after he was diagnosed with cancer, his manager says. https://t.co/hxqyHMBLaP https://t.co/rxiNcJ2jgn
Key Insights & Takeaways
The account frequently shares humorous and relatable content, which drives high engagement. Personal updates and emotional moments resonate strongly with the audience, increasing connection and support. The use of hashtags and links suggests an effort to expand reach and engage with broader audiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,876
- + 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 @kojoanimlive reveals an well-established Twitter presence with 59,876 followers. The account demonstrates a content-creator strategy, averaging 123.1 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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