JOSS
125,913
Followers
2,806
Following
23,901
Tweets
217.6
Avg Engagement
253
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @joss_mooney'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:2011-09-04
- Verification:No
- Location:Earth
Data Summary
- Tweets Analyzed:3,155
- Avg Likes per Tweet:87.7
- Avg Retweets per Tweet:129.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,155 tweetsTheir tweets receive a high number of likes and retweets, indicating a highly engaged audience. The content often generates strong reactions, including both support and criticism.
87.7
Avg Likes/Tweet
129.9
Avg Retweets/Tweet
276,768
Total Likes
409,867
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
29
Median Likes
3
Median Retweets
93
75th Percentile
99,334
Top Tweet
1.73
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.8%
Original
8.6%
Replies
15.2%
Retweets
9.5%
Quotes
0.0%
Threads
0.3%
With Media
57.3%
With Links
18.0%
With #Tags
49.6%
With @Mentions
75.4%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,155 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 479 retweets (15% 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 3,155 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 followersTheir audience likely includes fans of reality TV, particularly shows like 'The Challenge,' and individuals interested in bold, opinionated commentary. They may also attract those who follow public figures and political discussions.
Average
Audience Quality
27.0%
Suspicion Index
31.9%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.5%
Empty Bio
23.9%
<10 Tweets
14.7%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
15.3%
<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.
61,701,032
Total Potential Reach
37
Median Follower Reach
149
75th Percentile Reach
4.0%
>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).
55.3%
Creators
27,657 accounts
20.8%
Consumers
10,390 accounts
23.9%
Dormant
11,953 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):
201
Verified Followers
0.2% of total
19,940
Protected Accounts
19.74% 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 |
|---|---|---|---|
| @MTV | 17,674,073 | Entertainment | Music, Entertainment, Awards |
| @AndreaRussett | 6,796,555 | Influencer | Music, Freezing, Entertainment |
| @DJPaulyD | 3,598,434 | DJ | Music, DJing, Booking |
| @Charlottegshore | 2,777,090 | Reality TV Star | Reality TV, Tattoos, Fashion |
| @THEBEAT999FM | 2,395,992 | Radio Host | Entertainment, News, Sports |
| @Tyson_Fury | 2,250,060 | Boxer | Boxing, Fitness, Motivation |
| @JamesArthur23 | 2,057,671 | Singer | Music, Singer, Songwriter |
| @6BillionPeople | 2,033,159 | - | - |
| @SteveStfler | 1,906,528 | - | - |
| @VickyPattison | 1,808,002 | Reality TV Star | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,606
Followers With Bio
48,387
Followers Without Bio
52.09%
% With Bio
47.91%
% 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 3,155 analyzed274,071
Combined Engagement
0
Total Likes
274,071
Total Retweets
54,814
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @CedessRenee: This might be the funniest thing I’ve ever seen in my life. I can’t stop watching it 😂😂😂😂😂😂😂😂 https://t.co/UZmLUjJuYP
RT @TheNotoriousMMA: Good knock. Looking forward to the rematch.
RT @elonmusk: Oh hi lol
RT @HKane: Get in there!! Proud. Bottle. Character. 🦁🦁🦁 #ThreeLions #WorldCup #ENG https://t.co/FIRTBXPzCY
RT @TheNotoriousMMA: Thanks for the support everyone! Was not my night/morning in there but a great contest to improve on. I’m excited at t…
Key Insights & Takeaways
They frequently engage with public figures and reality TV shows, suggesting a focus on entertainment and pop culture. Their tweets often contain strong, provocative language, indicating a bold and unfiltered communication style. They address controversial topics, such as public figures' behavior and social issues, which may drive high engagement and debate.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 125,913
- + 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 @joss_mooney reveals an well-established Twitter presence with 125,913 followers. The account demonstrates a content-creator strategy, averaging 217.6 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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