Benjamin Cook
Writer • Journo • TV/video/podcast editor. He/him. Contact: [email protected]
68,722
Followers
1,362
Following
59,863
Tweets
1,060.1
Avg Engagement
567
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @benjamin_cook'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:2009-02-24
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:25.8
- Avg Retweets per Tweet:1,034.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,239 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and emojis suggests a casual and relatable tone.
25.8
Avg Likes/Tweet
1,034.2
Avg Retweets/Tweet
83,687
Total Likes
3,349,933
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
11
75th Percentile
672,728
Top Tweet
15.43
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.1%
Original
78.2%
Replies
14.4%
Retweets
2.3%
Quotes
0.0%
Threads
1.1%
With Media
25.8%
With Links
6.6%
With #Tags
96.5%
With @Mentions
30.3%
With Emojis
101
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
15.35
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 468 retweets (14% 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 3,239 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 includes fans of Doctor Who and other TV shows, as well as media professionals interested in content creation. The engagement suggests a mix of casual followers and dedicated fans.
Good
Audience Quality
19.4%
Suspicion Index
17.0%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.2%
Empty Bio
15.8%
<10 Tweets
20.0%
Mass Following (>2K)
0.0%
New (<90 days)
39.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.6%
No URL
9.8%
<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.
55,380,222
Total Potential Reach
92
Median Follower Reach
405
75th Percentile Reach
13.2%
>1K followers
2.4%
>10K followers
0.9%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.6%
Creators
6,864 accounts
15.6%
Consumers
1,557 accounts
15.8%
Dormant
1,579 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):
60
Verified Followers
0.6% of total
1,263
Protected Accounts
12.63% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,093,876 | Wrestler | Wrestling, Motivation, Self-promotion |
| @piersmorgan | 8,489,095 | Journalist | quotes, media, controversy |
| @6BillionPeople | 2,016,279 | - | - |
| @itvcorrie | 1,729,122 | TV Show | TV, Soap Opera, Drama |
| @richardosman | 1,262,846 | TV Presenter | TV, Quiz shows, Comedy |
| @AlexWassabi | 1,214,748 | YouTuber | vlogging, comedy, positivity |
| @ColbyBrock | 1,203,843 | YouTuber | Vlogging, Comedy, Travel |
| @SuicideGirls | 1,178,791 | Model | Tattoos, Alternative, Empowerment |
| @SamandColby | 1,028,824 | Content creators | Exploration, Adventure, Friendship |
| @SamGolbach | 982,501 | Content Creator | Travel, Adventure, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,584
Followers With Bio
2,416
Followers Without Bio
75.84%
% With Bio
24.16%
% 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 3,239 analyzed1,346,463
Combined Engagement
0
Total Likes
1,346,463
Total Retweets
269,293
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
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 and will return to London tomorrow. https://t.co/VfxpXro22W
RT @BBCBreaking: Queen Elizabeth II, the UK’s monarch for the past 70 years, has died aged 96 https://t.co/nuFdc3PV49
RT @MarcusRashford: https://t.co/bs9lksGM4q
RT @paddingtonbear: Thank you Ma’am, for everything.
RT @OfficialTM_3: You don’t get to stoke the fire at the beginning of the tournament by labelling our anti-racism message as ‘Gesture Politics’ & then pretend to be disgusted when the very thing we’re campaigning against, happens. https://t.co/fdTKHsxTB2
Key Insights & Takeaways
He leverages pop culture references to connect with his audience and build engagement. His content often includes humor and personal commentary, which helps to foster a sense of community. He maintains a consistent presence on Twitter, which likely contributes to his high follower count and engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,722
- + High community engagement through conversations
- + 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 @benjamin_cook reveals an exceptionally influential Twitter presence with 68,722 followers. The account demonstrates a conversation-first approach, averaging 1,060.1 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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