Jules Breach
@TNTSports @itvfootball @C4Sport @FourFourTwo Management: [email protected]
123,162
Followers
1,145
Following
11,087
Tweets
419.5
Avg Engagement
498
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @julesbreach'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:2010-01-17
- Verification:No
- Location:Brighton, England
Data Summary
- Tweets Analyzed:3,212
- Avg Likes per Tweet:142.6
- Avg Retweets per Tweet:276.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,212 tweetsJulesbreach's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and often shared across platforms.
142.6
Avg Likes/Tweet
276.9
Avg Retweets/Tweet
458,138
Total Likes
889,340
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
82
75th Percentile
551,334
Top Tweet
3.41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.9%
Original
61.6%
Replies
10.8%
Retweets
3.7%
Quotes
0.0%
Threads
0.4%
With Media
25.6%
With Links
23.5%
With #Tags
79.5%
With @Mentions
60.5%
With Emojis
113
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.58
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,212 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 347 retweets (11% 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 3,212 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 primarily consists of football fans and sports enthusiasts who follow sports news and commentary. They are interested in match highlights, player insights, and engaging content.
Average
Audience Quality
21.0%
Suspicion Index
25.8%
Low-Quality %
89
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
15.2%
<10 Tweets
16.1%
Mass Following (>2K)
0.0%
New (<90 days)
42.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
9.7%
<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.
9,026,282
Total Potential Reach
89
Median Follower Reach
265
75th Percentile Reach
6.8%
>1K followers
0.9%
>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).
67.7%
Creators
6,769 accounts
17.1%
Consumers
1,710 accounts
15.2%
Dormant
1,521 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):
46
Verified Followers
0.46% of total
1,238
Protected Accounts
12.38% of total
7 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 |
|---|---|---|---|
| @mrdanwalker | 803,141 | Journalist | Dad, husband, BBC. |
| @paul_steele | 645,761 | Travel Blogger | Travel, hiking, photography |
| @DavidHussey29 | 539,572 | Cricket Coach | Cricket, Coaching, Mentorship |
| @AndyMitten | 325,873 | Journalist | Football, Journalism, Writing |
| @KevinWeekes | 285,475 | Broadcaster | Hockey, Broadcasting, Apparel |
| @TelegraphDucker | 269,302 | Sports Journalist | Football, Northern, Correspondent |
| @DaveZ_uk | 250,514 | - | - |
| @ThomasHitz | 240,755 | - | - |
| @RobDawsonESPN | 190,495 | Sports Journalist | Football, Manchester United, Manchester City |
| @JBurtTelegraph | 111,454 | Sports Journalist | Football, Correspondent, Telegraph |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,821
Followers With Bio
4,179
Followers Without Bio
58.21%
% With Bio
41.79%
% 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 3,212 analyzed784,015
Combined Engagement
41,032
Total Likes
742,983
Total Retweets
156,803
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @ManUtd: Cristiano Ronaldo is to leave Manchester United by mutual agreement, with immediate effect. The club thanks him for his immense contribution across two spells at Old Trafford. #MUFC
RT @ManUtd: Manchester United can confirm that Ole Gunnar Solskjaer has left his role as Manager. Thank you for everything, Ole ❤️ #MUFC
#neverforget https://t.co/p12bpNYBR6
RT @premierleague: The Premier League, FA, EFL and WSL have collectively agreed to postpone the professional game in England Full statement: https://t.co/XcDyzBp4Ol https://t.co/cmYjoY3LRR
Key Insights & Takeaways
They often highlight key moments in football matches with a mix of excitement and humor. They engage with their audience by sharing personal insights and commentary. Their content is tailored to appeal to football fans and sports enthusiasts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,162
- + High community engagement through conversations
- + 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 @julesbreach reveals an well-established Twitter presence with 123,162 followers. The account demonstrates a conversation-first approach, averaging 419.5 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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