Tom Chaplin
Midpoint. The new album out now.
51,237
Followers
967
Following
5,643
Tweets
208.7
Avg Engagement
227
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tomchaplin'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:2010-05-24
- Verification:No
- Location:England
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:118.4
- Avg Retweets per Tweet:90.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,188 tweetsHis tweets receive a high number of likes and retweets, indicating a loyal and active audience. The engagement suggests a balance between entertainment and personal storytelling.
118.4
Avg Likes/Tweet
90.3
Avg Retweets/Tweet
377,461
Total Likes
287,958
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
51
Median Likes
9
Median Retweets
164
75th Percentile
92,854
Top Tweet
4.07
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
31.7%
Original
26.3%
Replies
8.2%
Retweets
33.8%
Quotes
0.0%
Threads
1.5%
With Media
60.5%
With Links
13.1%
With #Tags
47.7%
With @Mentions
16.8%
With Emojis
100
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.83
Reply/Original Ratio
4.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 262 retweets (8% 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 3,188 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 music fans and fans of his band, showing interest in his personal life and career. The audience seems engaged with both his professional and personal content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
47
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)
86.7%
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.
26,749,583
Total Potential Reach
47
Median Follower Reach
209
75th Percentile Reach
6.8%
>1K followers
1.1%
>10K followers
0.4%
>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).
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
1,323
Protected Accounts
13.23% 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 | 14,097,105 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,325,769 | Restaurateur | Food, Travel, Influencer |
| @MollieKing | 764,697 | Radio Presenter | Music, Radio, Entertainment |
| @BBCRadio2 | 738,617 | Radio Station | Music, Entertainment, Radio |
| @Giels | 691,460 | Radio DJ | Music, Podcasting, Radio |
| @DouglasKMurray | 592,967 | Author | Books, Politics, Journalism |
| @ExtinctionR | 419,840 | Activist | climate, ecological, non-violent |
| @STU_ACTOR | 339,157 | Actor | Acting, British, TV |
| @officialcharts | 334,294 | Music Charts | music, facts, stats |
| @jonsopel | 268,756 | Journalist | Politics, Journalism, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,982
Followers With Bio
4,018
Followers Without Bio
59.82%
% With Bio
40.18%
% 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 3,188 analyzed184,716
Combined Engagement
0
Total Likes
184,716
Total Retweets
36,943
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @nbc: The first #GoldenBuzzer of the season and @itsgabrielleu's first Golden Buzzer EVER! Kodi Lee is a STAR. 🌟💛🌟 https://t.co/AVATsIlRAm
RT @DalaiLama: What we need today are universal values based not on faith but on scientific findings, common experience and common sense.
RT @TheTweetOfGod: No you don't. Fuck you. https://t.co/u5Y5OlZUgz
RT @rickyftw: This is haunting... President Obama responding to a Pro-Gun Advocate just last week... wow. https://t.co/bNHce8ZuHb
RT @yungshoelace: *someone starts having a heart attack* person: is anyone here a doctor?? vegan: im a vegan
Key Insights & Takeaways
Tom Chaplin uses humor and personal anecdotes to connect with his audience. He openly shares both positive and challenging experiences, which builds authenticity. He engages with social and political issues, showing a broader perspective beyond music.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,237
- + 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 @tomchaplin reveals an well-established Twitter presence with 51,237 followers. The account demonstrates a content-creator strategy, averaging 208.7 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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