Jamie Moore
“The richest person in the world, is not the one who has the most, but the one who needs the least”
95,989
Followers
1,777
Following
63,842
Tweets
3,029.3
Avg Engagement
160
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JamieMoore777'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:2011-01-23
- Verification:No
- Location:always in a good place...❤️
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:23.5
- Avg Retweets per Tweet:3,005.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,201 tweetsEach tweet typically receives around 5,185 likes and 314 retweets, showing a high level of engagement. The content often sparks debate and discussion.
23.5
Avg Likes/Tweet
3,005.7
Avg Retweets/Tweet
75,350
Total Likes
9,621,369
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
87
Median Retweets
1,379
75th Percentile
356,974
Top Tweet
31.56
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
2.2%
Original
8.4%
Replies
81.7%
Retweets
7.8%
Quotes
0.0%
Threads
0.5%
With Media
74.1%
With Links
19.2%
With #Tags
92.1%
With @Mentions
34.6%
With Emojis
186
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.83
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 2,614 retweets (82% 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 3,201 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 likely includes individuals interested in boxing, public figures, and social commentary. They may also be drawn to controversial and thought-provoking content.
Average
Audience Quality
24.2%
Suspicion Index
29.4%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.7%
Empty Bio
21.8%
<10 Tweets
15.7%
Mass Following (>2K)
0.0%
New (<90 days)
49.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
14.2%
<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.
7,844,259
Total Potential Reach
65
Median Follower Reach
244
75th Percentile Reach
5.9%
>1K followers
0.7%
>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).
58.0%
Creators
5,801 accounts
20.2%
Consumers
2,023 accounts
21.8%
Dormant
2,176 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):
70
Verified Followers
0.7% of total
1,169
Protected Accounts
11.69% 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 |
|---|---|---|---|
| @DAZNBoxing | 616,777 | Boxing Promoter | Boxing, Anthony Joshua, Canelo |
| @PaddyMcGuinness | 582,931 | TV Presenter | Top Gear, Catchpoint, TMO |
| @IamMzilikazi | 550,491 | Musician | Pan-African music, Album, Rise |
| @Moreno | 430,881 | Influencer | Business, Manager, Serious |
| @garyhgoodridge | 360,837 | Fighter | UFC, Arm Wrestling, Mental Health |
| @thecoastguy | 346,339 | Archaeologist | Archaeology, History, Nature |
| @JujuliaGrace | 273,996 | Healthcare Advocate | medicine, advocacy, healthcare |
| @SocialistNHS | 131,552 | - | - |
| @TomekHajto7 | 127,576 | Footballer | Football, Schalke 04, Derby |
| @DavidCastain | 107,325 | Academic | Forbes, Ph.D. Candidate, Kappa Alpha Psi |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,528
Followers With Bio
4,472
Followers Without Bio
55.28%
% With Bio
44.72%
% 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 3,201 analyzed1,203,903
Combined Engagement
0
Total Likes
1,203,903
Total Retweets
240,781
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
RT @elonmusk: Let’s make Twitter maximum fun!
RT @elonmusk: If I die under mysterious circumstances, it’s been nice knowin ya
RT @elonmusk: I’m not brainwashed!! https://t.co/4kx61uu4yy
Key Insights & Takeaways
The user frequently shares strong opinions on social and political issues They engage with public figures and current events Their content often provokes emotional and controversial reactions
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 95,989
- + 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 @JamieMoore777 reveals an exceptionally influential Twitter presence with 95,989 followers. The account demonstrates a conversation-first approach, averaging 3,029.3 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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