POACH
@Disguised GC Coach https://www.tiktok.com/@poachtv https://www.youtube.com/@poaches Powered by @PowerGPU code "poach" For Inquiries: [email protected]
216,783
Followers
799
Following
5,536
Tweets
657.5
Avg Engagement
149
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Poach'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:2013-09-04
- Verification:No
- Location:Texas, USA
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:622.7
- Avg Retweets per Tweet:34.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsTheir tweets receive an average of 13,863 likes and 1,934 retweets, indicating strong audience interaction. They frequently share clips and updates that resonate with their followers.
622.7
Avg Likes/Tweet
34.7
Avg Retweets/Tweet
2,020,187
Total Likes
112,614
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
207
Median Likes
1
Median Retweets
687
75th Percentile
18,677
Top Tweet
3.03
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
36.8%
Original
55.8%
Replies
3.5%
Retweets
4.0%
Quotes
0.0%
Threads
0.1%
With Media
26.7%
With Links
2.6%
With #Tags
64.8%
With @Mentions
7.1%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.52
Reply/Original Ratio
1.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 112 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 3,244 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 followersPoach's audience is primarily interested in gaming, particularly Valorant and Fortnite. They are likely to be young, tech-savvy individuals who follow gaming trends and content creators.
Average
Audience Quality
24.0%
Suspicion Index
24.5%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.9%
Empty Bio
22.2%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
67.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.1%
No URL
13.1%
<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.
101,960,398
Total Potential Reach
17
Median Follower Reach
73
75th Percentile Reach
3.1%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
54.6%
Creators
27,322 accounts
23.1%
Consumers
11,556 accounts
22.2%
Dormant
11,122 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):
436
Verified Followers
0.43% of total
6,638
Protected Accounts
6.57% 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 |
|---|---|---|---|
| @JohnCena | 14,100,259 | Wrestler | Wrestling, Motivation, Self-promotion |
| @werevertumorro | 8,716,161 | Influencer | Gaming, Comedy, Email Marketing |
| @Zedd | 7,588,051 | DJ | Music, Las Vegas, Residency |
| @FaZeClan | 5,748,874 | Esports | Esports, Champions, FaZeUp |
| @Razer | 3,437,162 | Gaming Company | Gaming, Support, Action |
| @Valkyrae | 3,078,884 | Streamer | Gaming, Streaming, Content Creation |
| @Myth_ | 2,550,608 | Gamer | Gaming, Esports, Business |
| @MoistCr1TiKaL | 2,538,792 | YouTuber | Gaming, Comedy, Commentary |
| @FaZeApex | 2,386,880 | Gamer | Gaming, eSports, Palestine |
| @Mongraal | 2,135,185 | Professional Gamer | Fortnite, FaZe Clan, Pro |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,971
Followers With Bio
37,025
Followers Without Bio
63.34%
% With Bio
36.66%
% 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 3,244 analyzed86,483
Combined Engagement
67,613
Total Likes
18,870
Total Retweets
17,297
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Best clip of the bootcamp? @PlayVALORANT 1v5 ACE juan tapping https://t.co/1woePWGnGB
Stepping away from Fortnite Read: https://t.co/Q1HxOArA4f
Joined @FaZeClan who woulda thought https://t.co/84hQ5xxHrF
RT @DrLupo: In 24 hours, gaming raised $2,339,943.53 for @StJude. Thank you. ❤️💜
Happy 6 months 😘 https://t.co/Uq2m6kQofV
Key Insights & Takeaways
Poach is stepping away from Fortnite, signaling a shift in focus. They have joined @FaZeClan, indicating a strategic move in their career. Their best clip highlights a standout moment in a Valorant bootcamp, showcasing their gaming skills.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 216,783
- + 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 @Poach reveals an well-established Twitter presence with 216,783 followers. The account demonstrates a conversation-first approach, averaging 657.5 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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