Ghafla Kenya
Kenya's top entertainment news website
323,224
Followers
14,057
Following
479,349
Tweets
21.5
Avg Engagement
371
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GhaflaKenya'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:2009-11-30
- Verification:No
- Location:Nairobi, Kenya
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:19.0
- Avg Retweets per Tweet:2.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsEach tweet typically receives around 758 likes and 192 retweets, indicating strong audience interaction. The account's content is highly shareable and resonates with its followers.
19.0
Avg Likes/Tweet
2.5
Avg Retweets/Tweet
61,610
Total Likes
8,278
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
20
75th Percentile
3,497
Top Tweet
0.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
98.5%
Original
1.2%
Replies
0.2%
Retweets
0.2%
Quotes
0.0%
Threads
2.2%
With Media
94.2%
With Links
3.3%
With #Tags
2.0%
With @Mentions
4.0%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
90.0%
Weekday Posts
10.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 5 retweets (0% 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 3,248 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 primary audience is Kenyan internet users interested in entertainment and celebrity news. The account also attracts international followers due to its viral content.
Average
Audience Quality
31.8%
Suspicion Index
40.2%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
51.7%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
59.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
35.3%
<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.
19,197,443
Total Potential Reach
15
Median Follower Reach
80
75th Percentile Reach
3.1%
>1K followers
0.3%
>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).
21.7%
Creators
10,842 accounts
26.6%
Consumers
13,314 accounts
51.7%
Dormant
25,844 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):
102
Verified Followers
0.1% of total
4,936
Protected Accounts
4.94% 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 |
|---|---|---|---|
| @RailaOdinga | 4,272,409 | Politician | Politics, Infrastructure, Africa |
| @Safaricom_Care | 1,615,418 | Customer Service | Customer service, Support, Assistance |
| @IamDrSID | 1,289,386 | Entertainer | Entertainment, Gaming, Esports |
| @UlrichJvV | 1,149,933 | Activist | Digital media, Global development, Gardening and sustainability |
| @fsnakazibwe | 859,251 | TV Presenter | Ugandan, Proud, Simply ME |
| @lynda_ddane | 526,908 | TV Presenter | TV, Radio, Modeling |
| @HonKangata | 520,766 | Senator | Law, Politics, Advocacy |
| @ShaffieWeru | 460,369 | Radio Host | Personality, Dad, TV/Radio-Host |
| @omwambaKE | 435,091 | - | - |
| @USAmbKenya | 396,964 | Diplomat | Diplomacy, Kenya, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,552
Followers With Bio
40,448
Followers Without Bio
59.55%
% With Bio
40.45%
% 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 3,248 analyzed7,603
Combined Engagement
4,958
Total Likes
2,645
Total Retweets
1,521
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Kenyan Men's group chat vs Kenyan Women's group chat https://t.co/eca8DUmZQs
RT @AzziadNasenya: It doesn't hurt to be kind☺️ #Azziad #UnitingKenyans🤭 https://t.co/ct8YYWGTLQ
Former Mombasa governor Hassan Joho hanging out with Jason Derulo https://t.co/U5I1pTxv4O
Toa maoni https://t.co/7PapHIkee1
Andrew Kibe blames Abu Namwamba for hiring Azziad Nasenya, says it's a bad example for our children and daughters He claims that Azziad is only known for twerking and young people will start thinking education is of no importance if you cannot shake your behind https://t.co/MoW3
Key Insights & Takeaways
The account thrives on creating and sharing viral content that sparks conversation. Celebrity and local figure interactions drive significant engagement. Focus on Kenyan culture and humor helps build a loyal and active community.
Strengths
- + Established follower base of 323,224
- + 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 @GhaflaKenya reveals an growing Twitter presence with 323,224 followers. The account demonstrates a content-creator strategy, averaging 21.5 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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