Capital FM Kenya
The best mix of music/news/sports/lifestyle. #EverSince96
1,702,257
Followers
1,031
Following
542,366
Tweets
6.2
Avg Engagement
1,365
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CapitalFMKenya'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:2009-11-26
- Verification:No
- Location:Nairobi, Kenya
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:2.9
- Avg Retweets per Tweet:3.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsTweets typically receive around 71 likes and 16 retweets on average, indicating a moderate to high level of audience interaction. The content is well-received and shared within the community.
2.9
Avg Likes/Tweet
3.3
Avg Retweets/Tweet
9,412
Total Likes
10,666
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
6
75th Percentile
534
Top Tweet
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
41.4%
Original
3.4%
Replies
55.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.5%
With Media
70.7%
With Links
23.2%
With #Tags
60.6%
With @Mentions
9.9%
With Emojis
116
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
78.8%
Weekday Posts
21.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 1,786 retweets (55% 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 3,249 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 is likely a mix of young and older Kenyans interested in current events, sports, and lifestyle updates. They are active on social media and follow local and global news.
Below Average
Audience Quality
37.5%
Suspicion Index
56.2%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.8%
Empty Bio
63.4%
<10 Tweets
3.3%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
44.6%
<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.
22,808,112
Total Potential Reach
9
Median Follower Reach
37
75th Percentile Reach
1.4%
>1K followers
0.1%
>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).
12.1%
Creators
6,036 accounts
24.6%
Consumers
12,278 accounts
63.4%
Dormant
31,686 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):
59
Verified Followers
0.06% of total
2,900
Protected Accounts
2.9% 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 |
|---|---|---|---|
| @JohnCena | 14,105,382 | Wrestler | Wrestling, Motivation, Self-promotion |
| @UlrichJvV | 1,148,694 | Activist | Digital media, Global development, Gardening and sustainability |
| @LeBronJames | 1,004,091 | - | - |
| @Declaracion | 905,672 | - | - |
| @SleepSkee | 711,491 | Musician | Music, Independent, Artist |
| @CapitalFMUganda | 520,830 | Radio Station | Music, Entertainment, News |
| @ShaffieWeru | 460,131 | Radio Host | Personality, Dad, TV/Radio-Host |
| @AnthoniaOrji | 258,649 | - | - |
| @iyoba4u | 224,640 | Student | Education, Dreaming, Advocacy |
| @NeaminZeleke | 201,464 | Researcher | Politicalecology, Politicaleconomy, EnergyTransition |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,550
Followers With Bio
60,450
Followers Without Bio
39.55%
% With Bio
60.45%
% 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 3,249 analyzed1,578
Combined Engagement
0
Total Likes
1,578
Total Retweets
316
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @sautisol: Got Drake on a feature, can't wait for y'all to listen to it 🎶🚨🔥🚀
RT @Nikita_Kering: The sun is God’s filter🥰☀️ https://t.co/ofSxC3zce8
RT @Nikita_Kering: Royals👑 https://t.co/2XmKyvHmkw
RT @BreakingNewsKE: MAJOR clash between police and protesters in Kisumu after they started looting shops; supermarket, kiosks broken into.…
RT @BreakingNewsKE: SILAS Jakakimba resigns from ODM party and as an Advisor at Raila Odinga Secretariat in letter to Raila and parties Reg…
Key Insights & Takeaways
The account frequently covers major local and international news events, which helps maintain relevance and engagement. It often shares content that is both informative and entertaining, appealing to a broad audience. The use of trending topics and local issues keeps the audience interested and active on the platform.
Strengths
- + Established follower base of 1,702,257
- + 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 @CapitalFMKenya reveals an growing Twitter presence with 1,702,257 followers. The account demonstrates a content-creator strategy, averaging 6.2 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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