James Bourne
Busted20 tickets on sale now
228,890
Followers
31,959
Following
35,929
Tweets
142.5
Avg Engagement
1,338
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JamesBourne'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:2009-04-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:69.1
- Avg Retweets per Tweet:73.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsOn average, his tweets receive 1,799 likes and 269 retweets, indicating a moderately engaged audience. His humor and personal anecdotes seem to drive much of the interaction.
69.1
Avg Likes/Tweet
73.4
Avg Retweets/Tweet
224,363
Total Likes
238,409
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
4
Median Retweets
72
75th Percentile
72,882
Top Tweet
0.62
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
48.0%
Original
23.1%
Replies
4.8%
Retweets
24.1%
Quotes
0.0%
Threads
0.2%
With Media
41.5%
With Links
3.4%
With #Tags
31.9%
With @Mentions
30.4%
With Emojis
62
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.48
Reply/Original Ratio
5.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.2%
Weekday Posts
23.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 155 retweets (5% 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 3,247 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 fans and followers interested in his music and personal life. They engage with his content through likes and retweets, showing interest in his humor and updates.
Good
Audience Quality
18.6%
Suspicion Index
23.8%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.6%
Empty Bio
18.6%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
35.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
11.1%
<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.
107,971,418
Total Potential Reach
66
Median Follower Reach
244
75th Percentile Reach
7.2%
>1K followers
1.2%
>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).
60.6%
Creators
30,305 accounts
20.7%
Consumers
10,373 accounts
18.6%
Dormant
9,322 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):
189
Verified Followers
0.19% of total
15,442
Protected Accounts
15.29% of total
9 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 | 14,100,376 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wossy | 4,890,026 | TV Presenter | self-indulgent, Instagram, life |
| @lemontwittor | 3,342,113 | Comedian | Comedy, TV Shows, Entertainment |
| @garyvee | 3,166,875 | Entrepreneur | Family, CEO, Investor |
| @JoshDevineDrums | 3,103,268 | Drummer | Music, Drumming, One Direction |
| @benlandis | 2,848,351 | - | - |
| @ruhutsitompul | 2,367,756 | Politician | Youtube, Instagram, Facebook |
| @BeatsByAssassin | 2,262,724 | Multitalented | Actor, Director, Rapper |
| @JamesArthur23 | 2,058,395 | Singer | Music, Singer, Songwriter |
| @6BillionPeople | 2,034,418 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,666
Followers With Bio
36,323
Followers Without Bio
64.03%
% With Bio
35.97%
% 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 3,247 analyzed171,692
Combined Engagement
0
Total Likes
171,692
Total Retweets
34,338
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: Chocolate milk is insanely good. Just had some.
RT @elonmusk: I will eat a happy meal on tv if @McDonalds accepts Dogecoin
RT @HattiRex: I’ve been to the Tier 3000, not much has changed but we live underwater
RT @ivy_cib: Is it me or the world doesn’t seem real anymore.
RT @HarryMaguire93: Win together - lose together. We’ll be back. 🏴❤️ https://t.co/8JGIx57VPN
Key Insights & Takeaways
His humor and self-deprecating jokes resonate well with his audience He openly discusses his relationship with fans and the challenges he faces He uses Twitter as a platform to announce new music and share personal updates
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 228,890
- + 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 @JamesBourne reveals an well-established Twitter presence with 228,890 followers. The account demonstrates a content-creator strategy, averaging 142.5 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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