CHARLIE JONES
Hooked On a Feelin’ out NOW! Listen here 👇🏼
120,512
Followers
6,594
Following
6,641
Tweets
944.6
Avg Engagement
472
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CharlieJones'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:2014-09-08
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,032
- Avg Likes per Tweet:287.9
- Avg Retweets per Tweet:656.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,032 tweetsTheir tweets receive an average of 6,668 likes and 2,545 retweets, showing high engagement with their content.
287.9
Avg Likes/Tweet
656.7
Avg Retweets/Tweet
873,058
Total Likes
1,991,093
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
231
Median Likes
32
Median Retweets
523
75th Percentile
676,776
Top Tweet
7.84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.7%
Original
19.9%
Replies
3.8%
Retweets
5.7%
Quotes
0.0%
Threads
1.0%
With Media
41.5%
With Links
4.3%
With #Tags
31.3%
With @Mentions
64.9%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
1.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,032 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 114 retweets (4% 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 3,032 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 BTS, One Direction, and other pop culture enthusiasts, with a preference for nostalgic and trending topics.
Average
Audience Quality
21.8%
Suspicion Index
27.8%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
27.7%
<10 Tweets
11.8%
Mass Following (>2K)
0.0%
New (<90 days)
38.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
18.1%
<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.
198,273,910
Total Potential Reach
50
Median Follower Reach
262
75th Percentile Reach
8.3%
>1K followers
1.5%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.4%
Creators
25,684 accounts
20.9%
Consumers
10,469 accounts
27.7%
Dormant
13,847 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):
156
Verified Followers
0.15% of total
12,190
Protected Accounts
12.07% 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 |
|---|---|---|---|
| @JohnCena | 14,101,283 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AustinMahone | 8,842,291 | Singer | music, fashion, travel |
| @bretmanrock | 5,530,807 | Influencer | Makeup, Fashion, Comedy |
| @JVCKJ | 5,397,317 | Musician | Music, Pastel, Basketball |
| @lifeaseva | 4,559,283 | Influencer | sustainability, energy, lifestyle |
| @TheVampsband | 3,669,037 | Musicians | music, band, tour |
| @rclbeauty101 | 3,249,077 | YouTuber | beauty, youtuber, video |
| @AnselElgort | 3,123,135 | Actor | Actor, Music, Travel |
| @benlandis | 2,846,725 | - | - |
| @jackgilinsky | 2,809,534 | Musician | Music, Travel, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,846
Followers With Bio
37,151
Followers Without Bio
63.22%
% With Bio
36.78%
% 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 3,032 analyzed1,389,072
Combined Engagement
0
Total Likes
1,389,072
Total Retweets
277,814
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @RexChapman: This dude trolling the police with Star Wars - Imperial March is exactly the Twitter content I am here for today...https://…
RT @darius_jxylin: Little did they Know... https://t.co/k8QfwNEK86
RT @AGT: It looks like @Kodileerocks just proved to the world that talent is limitless! #AGTPremiere https://t.co/a6MhFICxGq
RT @victoriacrosby_: my brother started doing a ribbon dance and i looked down at the ipad and was shook lmao https://t.co/JsoO1Ckiop
Key Insights & Takeaways
They prioritize content related to BTS music videos over other types of content Their tweets often reflect a desire for nostalgia and emotional connection They frequently engage with fans of One Direction and other pop culture figures
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,512
- + 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 @CharlieJones reveals an well-established Twitter presence with 120,512 followers. The account demonstrates a content-creator strategy, averaging 944.6 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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