James Haskell
Thriving in chaos 🎙 DJ/Producer, Presenter, Speaker 🍿 Platforms 👇
203.613
Followers
3.092
Following
25.143
Tweets
367,5
Avg Engagement
1.096
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jameshaskell'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:2009-03-14
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3.206
- Avg Likes per Tweet:41,3
- Avg Retweets per Tweet:326,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.206 tweetsHis tweets typically receive a high number of likes and retweets, indicating a highly engaged audience. He often interacts with his followers through comments and replies.
41,3
Avg Likes/Tweet
326,1
Avg Retweets/Tweet
132.520
Total Likes
1.045.591
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
17
75th Percentile
661.924
Top Tweet
1,8
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
36,6%
Original
6,3%
Replies
55,1%
Retweets
2,0%
Quotes
0,0%
Threads
1,3%
With Media
51,5%
With Links
14,0%
With #Tags
84,2%
With @Mentions
36,2%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,17
Reply/Original Ratio
0,04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,0%
Weekday Posts
28,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.206 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 1.767 retweets (55% 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 3.206 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 likely includes fans of his music, followers of his speaking engagements, and people interested in his personal and political views.
Average
Audience Quality
24,0%
Suspicion Index
33,8%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51,3%
Empty Bio
24,7%
<10 Tweets
8,7%
Mass Following (>2K)
0,0%
New (<90 days)
49,1%
Low Ratio (<0.1)
0,0%
New (<180 days)
91,4%
No URL
16,2%
<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.
69.821.673
Total Potential Reach
39
Median Follower Reach
154
75th Percentile Reach
4,5%
>1K followers
0,7%
>10K followers
0,2%
>50K followers
0,1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53,3%
Creators
26.647 accounts
22,0%
Consumers
11.007 accounts
24,7%
Dormant
12.346 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):
216
Verified Followers
0.21% of total
13.409
Protected Accounts
13.28% 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 | 14.099.723 | Wrestler | Wrestling, Motivation, Self-promotion |
| @piersmorgan | 8.466.010 | Journalist | quotes, media, controversy |
| @ThisisDavina | 2.707.962 | TV Presenter | Fitness, Wellness, TV |
| @IanWright0 | 2.282.032 | Footballer | Football, Podcasting, Writing |
| @ITV | 2.271.477 | Media | TV, entertainment, news |
| @6BillionPeople | 2.033.863 | - | - |
| @imacelebrity | 1.358.124 | Entertainment | Reality TV, Jungle challenges, Entertainment |
| @benstokes38 | 1.323.097 | Cricketer | Cricket, Golf, Ambassador |
| @scott_mills | 1.265.243 | Radio Host | Entertainment, Music, Radio |
| @Thelnteresting | 1.204.202 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47.402
Followers With Bio
53.596
Followers Without Bio
46.93%
% With Bio
53.07%
% 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 3.206 analyzed961.481
Combined Engagement
0
Total Likes
961.481
Total Retweets
192.296
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: Next I’m buying Coca-Cola to put the cocaine back in
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 Polit…
RT @TomBrady: Truly grateful on this day. Thank you 🙏🏻❤️ https://t.co/j2s2sezvSS
RT @MichaelWarbur17: MICHAEL SHEEN is truly MAGNIFICENT. Get a LOAD of THIS. https://t.co/zZh5k3jcSs
RT @F1: We are immensely sad to hear that Murray Walker has passed away His passion and love of the sport inspired millions of fans around…
Key Insights & Takeaways
He frequently shares personal and controversial opinions, which drive engagement. He uses humor and relatable content to connect with his audience. He often addresses social and political issues, which aligns with his public persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 203.613
- + 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 @jameshaskell reveals an well-established Twitter presence with 203.613 followers. The account demonstrates a content-creator strategy, averaging 367,5 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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