Kojo Yankson
Host of the Super Morning Show on Joy 99.7 FM.
109,662
Followers
452
Following
30,611
Tweets
10.8
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @THEKojoYankson'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:2012-07-18
- Verification:No
- Location:Accra, Ghana
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:5.5
- Avg Retweets per Tweet:5.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,178 tweetsHis tweets receive a steady number of likes and retweets, indicating a loyal and active audience that engages with his content regularly.
5.5
Avg Likes/Tweet
5.3
Avg Retweets/Tweet
17,513
Total Likes
16,839
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
6
75th Percentile
1,140
Top Tweet
0.1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
5.1%
Original
10.4%
Replies
58.6%
Retweets
25.9%
Quotes
0.0%
Threads
0.2%
With Media
45.3%
With Links
58.6%
With #Tags
70.8%
With @Mentions
14.1%
With Emojis
149
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.02
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.0%
Weekday Posts
13.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 1,862 retweets (59% 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 3,178 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 followersHis audience likely includes fans of his radio show, Ghanaian expatriates, and individuals interested in his personal and professional life.
Average
Audience Quality
34.1%
Suspicion Index
44.3%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.4%
Empty Bio
53.2%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
68.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
33.2%
<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.
4,577,078
Total Potential Reach
13
Median Follower Reach
44
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
16.3%
Creators
1,628 accounts
30.5%
Consumers
3,048 accounts
53.2%
Dormant
5,324 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):
6
Verified Followers
0.06% of total
333
Protected Accounts
3.33% 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 |
|---|---|---|---|
| @OleItumbi | 2,167,964 | Strategist | Politics, Communication, Farming |
| @GhPoliceService | 655,889 | Law Enforcement | Law enforcement, safety, security |
| @peterndoro | 363,320 | Journalist | Journalism, Broadcasting, Africa |
| @SammyGyamfi_ | 212,549 | Politician | Politics, Law, Communication |
| @WeDontHaveTime | 131,945 | Climate Activist | climate solutions, tree planting, review platform |
| @VickieRemoe | 67,686 | - | - |
| @Sefadzi__ | 57,766 | - | - |
| @RachelAnkomahGh | 44,156 | - | - |
| @AnnyOsabutey | 32,911 | - | - |
| @jobvacanciesgh_ | 30,782 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,463
Followers With Bio
5,537
Followers Without Bio
44.63%
% With Bio
55.37%
% 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 3,178 analyzed4,656
Combined Engagement
824
Total Likes
3,832
Total Retweets
931
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Manasseh_Azure: The government deserves commendation for rehabilitating and reopening the National Museum. https://t.co/WZRtDqzLNK
RT @anasglobal: A statement from our lawyers. https://t.co/8QS3Eqho9k
Talk to me… https://t.co/6cYkxvcutC
RT @Dr_nuellie_: I told a married man I didn’t want to get with him cos I’d hate for it to be done to me and he said “Woanyɛ kraa yɛde bɛyɛ wo nti feel free wai” 😭
RT @Joy997FM: Drunkards Association of Ghana wants double-track system and PPEs for members. #JoyNews https://t.co/amj1wQYvTO
Key Insights & Takeaways
He frequently shares personal and reflective content, which resonates with his audience. He uses Twitter to connect with his radio audience and engage in public discourse. His tweets often blend humor, gratitude, and public commentary, reflecting his personality and values.
Strengths
- + Established follower base of 109,662
- + 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 @THEKojoYankson reveals an growing Twitter presence with 109,662 followers. The account demonstrates a conversation-first approach, averaging 10.8 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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