Johnson Muthama
Father/Realist/Democrat/Human rights advocate. Commissioner- Parliamentary Service Commission.
405,026
Followers
347
Following
3,149
Tweets
246.7
Avg Engagement
122
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nduyamuthama'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:2014-12-05
- Verification:No
- Location:Machakos
Data Summary
- Tweets Analyzed:2,962
- Avg Likes per Tweet:220.0
- Avg Retweets per Tweet:26.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,962 tweetsHis tweets receive high engagement, with an average of 4,589 likes and 766 retweets per post. The use of hashtags and calls to action significantly boosts interaction.
220.0
Avg Likes/Tweet
26.7
Avg Retweets/Tweet
651,753
Total Likes
79,114
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
89
Median Likes
10
Median Retweets
253
75th Percentile
8,266
Top Tweet
0.61
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.6%
Original
29.2%
Replies
3.8%
Retweets
0.4%
Quotes
0.0%
Threads
0.2%
With Media
52.7%
With Links
8.7%
With #Tags
35.8%
With @Mentions
0.8%
With Emojis
187
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.44
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.4%
Weekday Posts
33.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,962 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 113 retweets (4% 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 2,962 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 followersHis audience includes political supporters, human rights advocates, and citizens interested in Kenya's political landscape. The content appeals to those aligned with democratic reforms and national unity.
Below Average
Audience Quality
37.6%
Suspicion Index
56.3%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
70.1%
Empty Bio
63.0%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
65.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
42.5%
<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.
8,423,240
Total Potential Reach
10
Median Follower Reach
38
75th Percentile Reach
1.1%
>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).
10.9%
Creators
5,441 accounts
26.1%
Consumers
13,044 accounts
63.0%
Dormant
31,515 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):
54
Verified Followers
0.05% of total
2,470
Protected Accounts
2.47% 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 |
|---|---|---|---|
| @UlrichJvV | 1,149,745 | Activist | Digital media, Global development, Gardening and sustainability |
| @LinusKaikai | 1,006,154 | Journalist | Journalism, Strategy, Innovation |
| @AnneWaiguru | 919,755 | Politician | Governorship, Devolution, Women's Rights |
| @Declaracion | 905,489 | - | - |
| @HildaNewton21 | 773,302 | Journalist | Habari, Bavicha, Rais |
| @ShaffieWeru | 460,326 | Radio Host | Personality, Dad, TV/Radio-Host |
| @IAMartin_ | 397,353 | Activist | Activism, Humanitarianism, Public-spirited |
| @David_Leavitt | 344,080 | - | - |
| @Cate_Waruguru | 264,624 | Politician | God, Family, Youth |
| @Coreandor | 195,575 | Author | politics, thriller, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,030
Followers With Bio
63,970
Followers Without Bio
36.03%
% With Bio
63.97%
% 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 2,962 analyzed31,994
Combined Engagement
26,894
Total Likes
5,100
Total Retweets
6,399
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Like and retweet if you believe #KenyaKwanza will form the next Government.
Let's do this again, Like for @WilliamsRuto and retweet for Kenya Kwanza. Wishing you all a lovely afternoon!
For Immediate Release! https://t.co/GvJXOYo4ag
Congratulations are in order, President-Elect, Dr. William Samoei Ruto. https://t.co/mTOdR9pbQp
This is it, the new Commander in Chief of the armed forces. Congratulations your Excellency, William Samoei Ruto (@WilliamsRuto). https://t.co/DovZjXCLKI
Key Insights & Takeaways
He leverages political movements to drive engagement and mobilization. His content often blends advocacy with personal messages to build a connection with followers. He uses verified links to share official statements, reinforcing credibility and transparency.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 405,026
- + 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 @nduyamuthama reveals an well-established Twitter presence with 405,026 followers. The account demonstrates a content-creator strategy, averaging 246.7 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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