Charlie Puth
3,619,428
Followers
1,536
Following
1,979
Tweets
15,318.6
Avg Engagement
2,640
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @charlieputh'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: Mega Influencer (1M+)
- Account Age:2008-08-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,820
- Avg Likes per Tweet:13,819.6
- Avg Retweets per Tweet:1,498.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,820 tweetsHis tweets receive high engagement with average likes and retweets, indicating a highly interactive and loyal fan base.
13,819.6
Avg Likes/Tweet
1,498.9
Avg Retweets/Tweet
25,151,693
Total Likes
2,728,077
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9,178
Median Likes
501
Median Retweets
16,691
75th Percentile
673,699
Top Tweet
4.23
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
75.7%
Original
14.5%
Replies
4.3%
Retweets
5.5%
Quotes
0.0%
Threads
0.2%
With Media
32.0%
With Links
6.8%
With #Tags
26.7%
With @Mentions
8.4%
With Emojis
66
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
1.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,820 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 78 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 1,820 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 followersHis audience is primarily music fans and followers of his career milestones, with a strong interest in new releases and collaborations.
Average
Audience Quality
33.0%
Suspicion Index
44.9%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.1%
Empty Bio
49.5%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
37.8%
<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.
11,572,154
Total Potential Reach
5
Median Follower Reach
32
75th Percentile Reach
2.3%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.8%
Creators
14,906 accounts
20.7%
Consumers
10,330 accounts
49.5%
Dormant
24,764 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):
337
Verified Followers
0.33% of total
18,183
Protected Accounts
18.01% of total
3 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 |
|---|---|---|---|
| @WhatsTrending | 890,280 | News Outlet | DAILY, SOCIAL, NEWS |
| @teganandsara | 538,074 | Musicians | Music, LGBTQ+, Activism |
| @Moreno | 430,228 | Influencer | Business, Manager, Serious |
| @adrian_ttc | 385,703 | Lawyer | Law, Travel, Advocacy |
| @Dreamville | 384,298 | Music Label | music, press, artists |
| @Caovan06410750 | 303,870 | Matchmaker | aviation, dating, pleasure |
| @mrjoezee | 276,379 | Fashion Editor | Family, Fashion, Lifestyle |
| @Pengu | 263,446 | Retired eSports Player | Proleague, Major champion, Retired |
| @PrinceOfPopNT | 262,507 | - | - |
| @dudutna | 248,624 | Musician | music, composer, Indonesia |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,375
Followers With Bio
51,612
Followers Without Bio
48.89%
% With Bio
51.11%
% 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 1,820 analyzed2,196,009
Combined Engagement
1,700,581
Total Likes
495,428
Total Retweets
439,202
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Left and Right (feat. Jung Kook of BTS) out this Friday 12am ET/ 1pm KST. The official music video drops the same day. https://t.co/AVLLfxPxKk
“LEFT AND RIGHT” IS OUT EVERYWHERE!!! @BTS_twt https://t.co/9aWl6v2NDj https://t.co/yp98kFBbIX
Left and Right (feat. Jung Kook of @bts_bighit) Out June 24th. https://t.co/9aWl6v2NDj https://t.co/wUlC9to8tt
What if Jungkook sang Left and Right with me? Pre-save link in bio. https://t.co/cM77n5D9Ly
https://t.co/2xMvQEWKAx
Key Insights & Takeaways
His tweets often focus on new music releases and collaborations, which drive high engagement. He frequently shares links to official music videos and social media pages, encouraging fan interaction. His content is tailored to announce major events, such as album drops and music video premieres.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,619,428
- + 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 @charlieputh reveals an exceptionally influential Twitter presence with 3,619,428 followers. The account demonstrates a content-creator strategy, averaging 15,318.6 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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