51,068
Followers
520
Following
12,162
Tweets
359.9
Avg Engagement
162
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kevingreenwales'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:2009-09-08
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:5.5
- Avg Retweets per Tweet:354.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsHis tweets receive an average of 144 likes and 14 retweets, indicating a moderate level of engagement. The content is often polarizing, which may contribute to the engagement levels.
5.5
Avg Likes/Tweet
354.4
Avg Retweets/Tweet
17,563
Total Likes
1,133,816
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
11
75th Percentile
147,083
Top Tweet
7.05
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
64.0%
Original
15.2%
Replies
20.0%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
64.6%
With Links
42.9%
With #Tags
51.3%
With @Mentions
4.3%
With Emojis
135
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 641 retweets (20% 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 3,199 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 10,000 followersHis audience appears to be interested in agriculture, public health, and political commentary, with a focus on UK-related issues. The audience is likely to be engaged in debates around food supply and government policies.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.9%
No URL
100.0%
<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.
19,419,919
Total Potential Reach
34
Median Follower Reach
331
75th Percentile Reach
11.6%
>1K followers
1.6%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
592
Protected Accounts
5.92% of total
10 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 |
|---|---|---|---|
| @KLM | 2,289,370 | Airline | Travel, Aviation, Customer Service |
| @RGrosjean | 1,410,933 | Indycar driver | Father, Husband, Indycar Driver |
| @EamonnHolmes | 1,163,666 | TV Presenter | TV, Trustee, Television |
| @LeBronJames | 926,227 | - | - |
| @rogerhamilton | 920,717 | Entrepreneur | education, entrepreneurship, futurism |
| @RuthieeL | 656,583 | Presenter | Fashion, Presenter, Ambassador |
| @djkingassassin | 464,448 | DJ | Music, Club, Producer |
| @DrEliDavid | 372,573 | Researcher | Cybersecurity, Artificial Intelligence, Research |
| @mattjwillis | 339,001 | Musician | Music, Motorbikes, Acting |
| @thomaspower | 286,091 | Entrepreneur | AI, Bitcoin, Climate |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,010
Followers With Bio
2,990
Followers Without Bio
70.1%
% With Bio
29.9%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,199 analyzed361,532
Combined Engagement
0
Total Likes
361,532
Total Retweets
72,306
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @Rob_Roos: 🚨 BREAKING: In COVID hearing, #Pfizer director admits: #vaccine was never tested on preventing transmission. "Get vaccinated for others" was always a lie. The only purpose of the #COVID passport: forcing people to get vaccinated. The world needs to know. Share t
RT @elonmusk: New Twitter policy is to follow the science, which necessarily includes reasoned questioning of the science
RT @DrAseemMalhotra: BREAKING BBC News: Cardiologist says likely contributory factor to excess cardiovascular deaths is covid mRNA vaccine and roll out should be suspended pending an inquiry. We did it. We broke mainstream broadcast media 🔥🔥🔥 https://t.co/F72YS7JAuE
RT @DrAseemMalhotra: BREAKING: Lead author of peer reviewed research re-analysing Pfizer & Moderna trials on mRNA vaccine @JosephFraiman calls for immediate suspension of jab due to serious harms. ‘We have conclusive evidence that the vaccines are inducing sudden cardiac d
RT @elonmusk: @kanyewest Jesus taught love, kindness and forgiveness. I used to think that turning the other cheek was weak & foolish, but I was the fool for not appreciating its profound wisdom.
Key Insights & Takeaways
Kevin frequently criticizes public health officials and organizations like the WHO, suggesting a strong distrust in their messaging. He often highlights the role of British farmers, indicating a support for agricultural sectors and food production. His tweets are short, direct, and emotionally charged, which may drive engagement and retweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,068
- + 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 @kevingreenwales reveals an well-established Twitter presence with 51,068 followers. The account demonstrates a content-creator strategy, averaging 359.9 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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