Jack Fincham
Management enquiries to @off_limits_ent [email protected]. https://www.youtube.com/watch?v=2svsquu26KE&feature=youtu.be
230,481
Followers
203
Following
686
Tweets
920.9
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jack_charlesf'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:2018-05-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:671
- Avg Likes per Tweet:763.8
- Avg Retweets per Tweet:157.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 671 tweetsHis tweets receive high engagement, indicating a strong connection with his followers. The use of humor and personal experiences likely contributes to this engagement.
763.8
Avg Likes/Tweet
157.1
Avg Retweets/Tweet
512,523
Total Likes
105,411
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
5
Median Retweets
418
75th Percentile
40,609
Top Tweet
4.0
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
33.8%
Original
1.9%
Replies
46.1%
Retweets
18.2%
Quotes
0.0%
Threads
0.3%
With Media
59.0%
With Links
31.7%
With #Tags
61.7%
With @Mentions
37.9%
With Emojis
100
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 671 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 309 retweets (46% 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 671 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 entertainment enthusiasts and casual Twitter users interested in humor and everyday observations. The audience seems to appreciate light-hearted and relatable content.
Average
Audience Quality
26.5%
Suspicion Index
38.3%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.2%
Empty Bio
33.1%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
54.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
22.5%
<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.
35,617,054
Total Potential Reach
23
Median Follower Reach
112
75th Percentile Reach
2.5%
>1K followers
0.4%
>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).
43.5%
Creators
21,764 accounts
23.3%
Consumers
11,673 accounts
33.1%
Dormant
16,563 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):
96
Verified Followers
0.1% of total
19,325
Protected Accounts
19.14% 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 |
|---|---|---|---|
| @GreatestQuotes | 4,233,674 | Inspirational Speaker | Challenge, Motivate, Inspire |
| @radioleary | 2,657,101 | - | - |
| @ITV | 2,271,564 | Media | TV, entertainment, news |
| @Tyson_Fury | 2,249,237 | Boxer | Boxing, Fitness, Motivation |
| @flintoff11 | 1,956,863 | Management | Cricket, Management, Instagram |
| @CelebJuice | 1,945,919 | Entertainment | TV, Comedy, Entertainment |
| @LoveIsland | 1,412,880 | Reality TV Star | Reality TV, Romance, Entertainment |
| @MTVMusicUK | 1,272,965 | Entertainment | Music, Entertainment, UK |
| @susannareid100 | 905,651 | Presenter | News, TV, Charity |
| @ZachBoychuk | 829,140 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,108
Followers With Bio
55,883
Followers Without Bio
44.67%
% With Bio
55.33%
% 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 671 analyzed150,463
Combined Engagement
115,682
Total Likes
34,781
Total Retweets
30,093
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
What’s your favourite crisps mate? Mc Coy Hoy hoyssss https://t.co/1KC6fkV4i1
RT @liamgallagher: Listen seriously a lot of people think I’m a cunt and I am a good looking cunt but once this is put to bed we need to ge…
It’s nothing to do with that at all it was about a comment someone made ages ago saying why do I carry it and I said because it’s helpful . https://t.co/jtWjOLsSep
Maura is a straight shooter. What a good mate she is to Anna https://t.co/BAPVJIcyFS
Does anyone else when watching a programme on record forget that it’s on record and end up watching the adverts when you could of just fast forwarded them😂😂😫 or just me 🤷🏻♂️
Key Insights & Takeaways
His content is casual and relatable, often sharing personal observations and humor. He uses emojis and informal language to connect with his audience. His tweets often include links, suggesting he may promote products or services indirectly.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 230,481
- + 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 @jack_charlesf reveals an well-established Twitter presence with 230,481 followers. The account demonstrates a content-creator strategy, averaging 920.9 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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