Jack Catterall
57,339
Followers
1,210
Following
4,700
Tweets
267.0
Avg Engagement
79
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jack_catt93'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:2012-08-11
- Verification:No
- Location:Chorley, Manchester, England
Data Summary
- Tweets Analyzed:3,072
- Avg Likes per Tweet:68.6
- Avg Retweets per Tweet:198.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,072 tweetsEach tweet typically receives a large number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests a loyal and active follower base.
68.6
Avg Likes/Tweet
198.3
Avg Retweets/Tweet
210,770
Total Likes
609,321
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
17
75th Percentile
126,351
Top Tweet
4.66
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
12.7%
Original
9.9%
Replies
68.7%
Retweets
8.7%
Quotes
0.0%
Threads
0.2%
With Media
57.9%
With Links
25.7%
With #Tags
86.1%
With @Mentions
39.7%
With Emojis
130
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,072 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 2,110 retweets (69% 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 3,072 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 followersThe audience appears to be interested in bold and opinionated content, possibly with a focus on sports or entertainment topics. They engage actively with his posts.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
69
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)
92.8%
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.
22,851,197
Total Potential Reach
69
Median Follower Reach
226
75th Percentile Reach
4.7%
>1K followers
0.7%
>10K followers
0.3%
>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).
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
1,139
Protected Accounts
11.39% of total
5 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 | 14,090,277 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NoraEstia | 783,060 | Crypto Influencer | Crypto, Giveaways, NFT |
| @laura_woodsy | 750,779 | Sports Broadcaster | Sports, TV, Radio |
| @MatchroomBoxing | 573,773 | Boxing Promoter | Boxing, Promoter, DAZN |
| @IamMzilikazi | 554,971 | Musician | Pan-African music, Album, Rise |
| @darrentill2 | 469,677 | MMA Fighter | MMA, Liverpool FC, Training |
| @garyhgoodridge | 363,404 | Fighter | UFC, Arm Wrestling, Mental Health |
| @tom_watson | 292,516 | Author | Books, Podcasting, Music |
| @Marty_GShore | 221,008 | Reality TV Star | Reality TV, Geordie Shore, Entertainment |
| @DeniseDaviesfit | 158,980 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,461
Followers With Bio
4,539
Followers Without Bio
54.61%
% With Bio
45.39%
% 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 3,072 analyzed327,420
Combined Engagement
38,395
Total Likes
289,025
Total Retweets
65,484
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @TheNotoriousMMA: I have decided to retire young. Thanks for the cheese. Catch ya's later.
RT @TheNotoriousMMA: The champ champ https://t.co/iprUKL0Ldx
What a load of shit!
RT @TheNotoriousMMA: Nobody will ever come close to this mans greatness. And if they do, they better wake up and apologise. #RIPAli https://t.co/ED2wgignB2
RT @Tyson_Fury: #Tysonmontana https://t.co/ccaTHpVuRY
Key Insights & Takeaways
The user frequently uses strong language and provocative statements, which may drive engagement. The content often includes links to external media, suggesting a focus on visual or multimedia content. The user's tweets are likely to spark debate or controversy, contributing to high engagement levels.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 57,339
- + 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_catt93 reveals an well-established Twitter presence with 57,339 followers. The account demonstrates a content-creator strategy, averaging 267.0 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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