Kelvin Owusu Ansah
Sports Journalist @tv3_ghana|| @3SportsGh || @3fm927 || Football Commentator #Catholic #prayer [email protected]
19,502
Followers
1,271
Following
45,785
Tweets
32.3
Avg Engagement
30
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KelOwusu'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:2012-07-31
- Verification:No
- Location:Ghana
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:11.5
- Avg Retweets per Tweet:20.9
- Followers Analyzed:18,627
Engagement Analysis
Based on 500 tweetsKelOwusu's tweets are well-received, with an average of 18 retweets and a strong emphasis on interaction through hashtags and links. His content often sparks discussions and shares among his followers.
11.5
Avg Likes/Tweet
20.9
Avg Retweets/Tweet
5,731
Total Likes
10,429
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
19
75th Percentile
3,387
Top Tweet
1.66
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
24.6%
Original
33.4%
Replies
27.0%
Retweets
15.0%
Quotes
0.0%
Threads
0.0%
With Media
42.4%
With Links
23.8%
With #Tags
64.8%
With @Mentions
32.2%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.36
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
53.8%
Weekday Posts
46.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 135 retweets (27% 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 500 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 18,627 followersHis audience primarily consists of sports enthusiasts, football fans, and followers of Ghanaian media outlets. The content appeals to those interested in local sports, commentary, and community events.
Average
Audience Quality
25.7%
Suspicion Index
22.7%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.8%
Empty Bio
27.5%
<10 Tweets
19.2%
Mass Following (>2K)
0.0%
New (<90 days)
53.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
13.6%
<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.
48,504,344
Total Potential Reach
67
Median Follower Reach
216
75th Percentile Reach
7.4%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39.6%
Creators
7,371 accounts
32.9%
Consumers
6,130 accounts
27.5%
Dormant
5,126 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):
120
Verified Followers
0.64% of total
810
Protected Accounts
4.35% of total
4 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 | 14,105,729 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KaizerChiefs | 2,774,082 | Football Club | Football, Soccer, Marketing |
| @tv3_ghana | 1,931,203 | Media | News, Programs, Events |
| @empireofthekop | 1,928,934 | Football Fan | Liverpool, football, fans |
| @KinaataGh | 1,529,622 | Musician | Music, EffiaKuma, TeamMooove |
| @ELgh_ | 1,407,696 | Musician | Music, Booking, Entertainment |
| @gyaigyimii | 1,336,394 | Host | Business, Host, Space |
| @funnyfacegh | 1,281,316 | Comedian | comedy, entertainment, social media |
| @UlrichJvV | 1,148,324 | Activist | Digital media, Global development, Gardening and sustainability |
| @ASAMOAH_GYAN3 | 1,144,216 | Footballer | Football, Monko, Baby Jet |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,710
Followers With Bio
5,917
Followers Without Bio
68.23%
% With Bio
31.77%
% 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 500 analyzed5,991
Combined Engagement
504
Total Likes
5,487
Total Retweets
1,198
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Arsenal: An homage to the king 👑 https://t.co/S31ZtDE59W
RT @julietbawuah: ✨ ꜱᴏᴍᴇ ᴘᴇʀꜱᴏɴᴀʟ ɴᴇᴡꜱ ✨ I am beyond thrilled to announce that I am officially part of the @SuperSportTV #ALLACCESSCREW a…
RT @TheKennethDarko: Eastwood Anaba again😢 ❤️ https://t.co/3B50xA7zOG
RT @josephpaintsil_: 𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝘂𝘁𝘆🇬🇭 https://t.co/ddM5zfKcbq
Chris Hughton is not just a coach but a manager. That gives me confidence the Black Stars will come good again My Pesewas on @3fm927 #3sports https://t.co/cnnr9R30KD
Key Insights & Takeaways
He frequently highlights football players and teams, showing a deep connection with the sport and its community. His use of hashtags and links to media outlets indicates a strategic approach to engagement and content promotion. He often ties his commentary to broader themes like faith and community, which resonates with his audience.
Strengths
- + Established follower base of 19,502
- + 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 @KelOwusu reveals an growing Twitter presence with 19,502 followers. The account demonstrates a conversation-first approach, averaging 32.3 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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