Willis Raburu
UNDEFINED | Strategist, Consultant. Media Personality.
926,790
Followers
3,854
Following
124,129
Tweets
1,361.3
Avg Engagement
248
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WillisRaburu'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:2009-08-19
- Verification:No
- Location:Nairobi, Kenya
Data Summary
- Tweets Analyzed:3,110
- Avg Likes per Tweet:103.3
- Avg Retweets per Tweet:1,258.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,110 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his messages.
103.3
Avg Likes/Tweet
1,258.0
Avg Retweets/Tweet
321,194
Total Likes
3,912,397
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
5
Median Retweets
227
75th Percentile
678,161
Top Tweet
1.47
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
53.0%
Original
3.2%
Replies
35.8%
Retweets
8.0%
Quotes
0.0%
Threads
0.1%
With Media
46.3%
With Links
30.0%
With #Tags
55.2%
With @Mentions
13.5%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,110 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 1,113 retweets (36% 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 3,110 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 appears to be a mix of sports enthusiasts, particularly fans of Manchester United, and individuals interested in strategic and media-related content.
Below Average
Audience Quality
36.9%
Suspicion Index
54.9%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.6%
Empty Bio
62.7%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
64.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
43.1%
<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.
7,659,436
Total Potential Reach
9
Median Follower Reach
36
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).
11.3%
Creators
5,643 accounts
26.0%
Consumers
13,006 accounts
62.7%
Dormant
31,351 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):
45
Verified Followers
0.04% of total
2,715
Protected Accounts
2.71% 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 | 1,149,086 | Activist | Digital media, Global development, Gardening and sustainability |
| @C_NyaKundiH | 619,226 | Blogger | Corruption, Activism, Politics |
| @wiseconnector | 494,041 | Life Coach | father, leader, entrepreneur |
| @omwambaKE | 429,234 | - | - |
| @AnthoniaOrji | 258,712 | - | - |
| @NationFmKE | 252,100 | Radio Station | Music, Radio, Kenya |
| @moneyacademyKE | 209,932 | Financial Journalist | business, news, discussion |
| @Ugaman01 | 163,233 | Digital Strategist | Digital Strategy, Building Future, Music |
| @JabaStories | 136,725 | - | - |
| @TheAfricanPen | 105,913 | Writer | Writing, Reflection, Uganda |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,775
Followers With Bio
61,225
Followers Without Bio
38.78%
% With Bio
61.22%
% 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 3,110 analyzed1,688,602
Combined Engagement
0
Total Likes
1,688,602
Total Retweets
337,720
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @VancityReynolds: Hard keeping my mouth sewn shut about this one. ⚔️ https://t.co/OdV7JmAkEu
RT @FCBarcelona: LATEST NEWS | Leo #Messi will not continue with FC Barcelona
RT @WhatsApp: We’re aware that some people are experiencing issues with WhatsApp at the moment. We’re working to get things back to normal…
Key Insights & Takeaways
He frequently shares personal and family-related updates, which likely help in building a personal connection with his audience. His sports predictions, especially regarding Manchester United, are a recurring theme and may be a key driver of his engagement. He uses religious and grateful language, which may resonate with a segment of his audience looking for inspiration or motivation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 926,790
- + 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 @WillisRaburu reveals an exceptionally influential Twitter presence with 926,790 followers. The account demonstrates a content-creator strategy, averaging 1,361.3 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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