Poofesure
2+ million subscribers on YouTube / 28 / Professional Wii Athlete / Business: [email protected]
102,528
Followers
467
Following
11,818
Tweets
352.7
Avg Engagement
70
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Poofesure'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:2011-07-07
- Verification:No
- Location:Florida/Michigan
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:340.8
- Avg Retweets per Tweet:11.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,219 tweetsTheir tweets receive an average of 6,892 likes and 499 retweets, indicating high audience interaction. They frequently engage with other creators and share personal updates.
340.8
Avg Likes/Tweet
11.9
Avg Retweets/Tweet
1,096,971
Total Likes
38,311
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
1
Median Retweets
370
75th Percentile
16,644
Top Tweet
3.44
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
24.8%
Original
73.6%
Replies
0.4%
Retweets
1.2%
Quotes
0.0%
Threads
0.1%
With Media
18.2%
With Links
1.1%
With #Tags
74.1%
With @Mentions
9.6%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.97
Reply/Original Ratio
3.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 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 12 retweets (0% 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 3,219 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 followersPoofesure's audience likely includes gaming enthusiasts and YouTube viewers interested in content creation and business topics. Their engagement suggests a community that values interaction and authenticity.
Average
Audience Quality
20.4%
Suspicion Index
22.0%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.6%
Empty Bio
23.7%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
54.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.7%
No URL
15.3%
<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.
12,965,800
Total Potential Reach
14
Median Follower Reach
59
75th Percentile Reach
1.7%
>1K followers
0.1%
>10K followers
0.0%
>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).
53.6%
Creators
5,356 accounts
22.7%
Consumers
2,270 accounts
23.7%
Dormant
2,374 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):
42
Verified Followers
0.42% of total
986
Protected Accounts
9.86% 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 |
|---|---|---|---|
| @Twitch | 9,940,398 | Social Media Manager | Gaming, Community, Support |
| @AlbertsStuff | 1,449,048 | YouTuber | Gaming, Comedy, Entertainment |
| @model8197 | 339,600 | YouTuber | YouTube, Subscribers, Star Code |
| @bullsbear_ai | 118,581 | Cryptocurrency influencer | Cryptocurrency, Blockchain, High interest |
| @DUDEwipes | 30,812 | - | - |
| @nobrandpaul | 25,110 | - | - |
| @NicoDouglasYT | 21,914 | - | - |
| @heyitsjoe_ | 16,077 | - | - |
| @TheAlphaJayShow | 14,874 | - | - |
| @Breezi_EU | 13,244 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,142
Followers With Bio
2,858
Followers Without Bio
71.42%
% With Bio
28.58%
% 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 3,219 analyzed47,231
Combined Engagement
45,755
Total Likes
1,476
Total Retweets
9,446
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
@Dexerto https://t.co/6KGqocGQxG
@coffeebreak_YT he really tweeted this too 💀 https://t.co/IleiV2WhHB
verified! and i’m actually being serious 😳😳😳
@Ranboosaysstuff hi ranboo
changing things up in 2022 😤 https://t.co/pOOoVKY1vX
Key Insights & Takeaways
They have a verified status, which adds credibility to their account. They frequently interact with other YouTubers and gaming influencers. Their content often includes personal and humorous elements, which may drive engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 102,528
- + 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 @Poofesure reveals an well-established Twitter presence with 102,528 followers. The account demonstrates a conversation-first approach, averaging 352.7 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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