Peter Park
Content Creator for @100Thieves | Co-host of the Boomer Vs Zoomer podcast | https://www.facebook.com/unsupportedbrowser | He/Him | email: [email protected]
463,821
Followers
1,617
Following
15,352
Tweets
2,318.0
Avg Engagement
709
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @peterparkTV'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:2009-08-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:2,289.2
- Avg Retweets per Tweet:28.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsHis tweets receive high engagement, with an average of 62k likes and 1.6k retweets, indicating strong audience interaction. The content is relatable and emotionally resonant.
2,289.2
Avg Likes/Tweet
28.8
Avg Retweets/Tweet
7,414,792
Total Likes
93,125
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
967
Median Likes
1
Median Retweets
2,280
75th Percentile
130,799
Top Tweet
5.0
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
8.2%
Original
89.0%
Replies
2.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.5%
With Media
18.0%
With Links
3.4%
With #Tags
93.1%
With @Mentions
8.5%
With Emojis
52
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.92
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 84 retweets (3% 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 3,239 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 appears to be young adults interested in entertainment, lifestyle, and candid conversations. They engage with his personal and humorous content regularly.
Average
Audience Quality
32.8%
Suspicion Index
40.1%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.4%
Empty Bio
46.1%
<10 Tweets
4.6%
Mass Following (>2K)
0.0%
New (<90 days)
76.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
33.7%
<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.
48,943,024
Total Potential Reach
6
Median Follower Reach
28
75th Percentile Reach
1.5%
>1K followers
0.4%
>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).
30.5%
Creators
15,255 accounts
23.4%
Consumers
11,675 accounts
46.1%
Dormant
23,070 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):
463
Verified Followers
0.46% of total
14,668
Protected Accounts
14.67% 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 |
|---|---|---|---|
| @Zedd | 7,591,500 | DJ | Music, Las Vegas, Residency |
| @Dream | 5,994,549 | Artist | Dream, pfp, nyrazzz |
| @MiaMalkova | 3,347,166 | Adult entertainer | Nature, Instagram, Onlyfans |
| @Nadeshot | 2,972,806 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @anthonypadilla | 2,286,372 | YouTuber | YouTube, Comedy, Podcasts |
| @amberliu | 2,225,238 | Musician | Business, Inquiries, Music |
| @xQc | 1,552,629 | Streamer | Gaming, Streaming, Luminosity |
| @dakotaz | 1,520,457 | Gamer | Gaming, Energy drinks, Streaming |
| @JessicaNigri | 1,493,967 | Cosplayer | Cosplay, Gaming, Modeling |
| @Idubbbz | 1,368,198 | YouTuber | boy, boxer, mullet |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,077
Followers With Bio
42,923
Followers Without Bio
57.08%
% With Bio
42.92%
% 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 3,239 analyzed415,637
Combined Engagement
407,542
Total Likes
8,095
Total Retweets
83,127
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
man... as always, fuck cancer.
Can finally flex I’m not single today https://t.co/bjz0RD5LiC
My love ❤️ https://t.co/dtully97AI
Joined @100Thieves https://t.co/26BovMX3Wa
Met a fan @Valkyrae https://t.co/di89yDknxr
Key Insights & Takeaways
He uses personal and emotional language to connect with his audience His content often includes humor and candid moments to build authenticity He leverages personal updates and lifestyle topics to maintain engagement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 463,821
- + 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 @peterparkTV reveals an exceptionally influential Twitter presence with 463,821 followers. The account demonstrates a conversation-first approach, averaging 2,318.0 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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