Ben Kew 🏌️♂️
"If you can't make them see the light, make them feel the heat." 🇬🇧 🇺🇸
113,358
Followers
5,154
Following
19,958
Tweets
462.1
Avg Engagement
295
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ben_kew'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:2011-06-17
- Verification:No
- Location:DC/FL/UK
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:156.4
- Avg Retweets per Tweet:305.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,236 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is designed to provoke discussion and generate attention.
156.4
Avg Likes/Tweet
305.7
Avg Retweets/Tweet
506,186
Total Likes
989,087
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
60
Median Likes
8
Median Retweets
208
75th Percentile
65,917
Top Tweet
4.08
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
48.2%
Original
38.4%
Replies
6.8%
Retweets
6.6%
Quotes
0.0%
Threads
0.3%
With Media
62.9%
With Links
1.3%
With #Tags
40.2%
With @Mentions
7.0%
With Emojis
111
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
0.97
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 220 retweets (7% 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 3,236 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 followers are likely politically engaged individuals interested in current events and social issues. The audience appears to be active on social media and interested in controversial topics.
Good
Audience Quality
13.2%
Suspicion Index
7.4%
Low-Quality %
646
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
13.6%
Empty Bio
2.2%
<10 Tweets
39.6%
Mass Following (>2K)
0.0%
New (<90 days)
5.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
1.3%
<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.
31,672,699
Total Potential Reach
646
Median Follower Reach
2,258
75th Percentile Reach
41.1%
>1K followers
6.7%
>10K followers
0.7%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
93.3%
Creators
9,333 accounts
4.4%
Consumers
444 accounts
2.2%
Dormant
223 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):
1,223
Verified Followers
12.23% of total
112
Protected Accounts
1.12% of total
5 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 |
|---|---|---|---|
| @pmarca | 1,251,989 | Investor | Tucked shirt |
| @bdonesem | 617,532 | Influencer | Inspirational, Funny, Romantic |
| @phillyrob1 | 272,649 | Unknown | East Coast, Philly, Rob |
| @IsabellaMDeLuca | 254,000 | - | - |
| @Hoosiers1986 | 234,403 | Accountant | Politics, Friendship, Movies |
| @RichLowry | 201,221 | Editor | Nationalism, Author, Editor |
| @bfraser747 | 195,814 | Supporter | PresidentTrump, MAGA, AmericaFirst |
| @sxdoc | 168,711 | Environmental Activist | - |
| @4Mischief | 142,303 | Student | Mischief, College, Anti-career politicians |
| @EBaySurfer | 122,166 | Online Seller | Blues Music, FrankieBlue, Spyder |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,640
Followers With Bio
1,360
Followers Without Bio
86.4%
% With Bio
13.6%
% 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 3,236 analyzed229,502
Combined Engagement
27,633
Total Likes
201,869
Total Retweets
45,900
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @blockbuster: A friendly reminder that when you used to rent videos from us. We didn’t care who you shared it with… As long as you returned it on time. @netflix
RT @roshanpateI: I was rejected by Apple. I was rejected by Amazon. I was rejected by Facebook. I was 28 years old and broke. I decided to start my own startup. Now I’m 30 years old and broke.
RT @elonmusk: https://t.co/0WBs34BZBO
RT @TansuYegen: Japan is a country where people feel privileged to lend a helping hand to each other. https://t.co/qIOPX8P3re
Protester shoves pie in the face of Australian airline CEO who pushed for vax mandates. https://t.co/i8nT2hzHwt
Key Insights & Takeaways
His tweets often focus on high-profile political figures and scandals. He uses controversial and provocative content to drive engagement. His verified status and large following suggest a significant online presence and influence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 113,358
- + 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 @ben_kew reveals an well-established Twitter presence with 113,358 followers. The account demonstrates a content-creator strategy, averaging 462.1 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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