pfzin
Streaming
79,308
Followers
457
Following
1,462
Tweets
254.5
Avg Engagement
15
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pfzin'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: Mid-Tier (10K+)
- Account Age:2017-11-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,451
- Avg Likes per Tweet:122.7
- Avg Retweets per Tweet:131.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,451 tweetsThe account maintains a consistent level of engagement with its followers, indicating a loyal and active audience. The use of calls to action and hashtags suggests a focus on driving interaction.
122.7
Avg Likes/Tweet
131.8
Avg Retweets/Tweet
178,038
Total Likes
191,267
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
0
Median Retweets
72
75th Percentile
157,630
Top Tweet
3.21
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
18.7%
Original
63.3%
Replies
15.7%
Retweets
2.3%
Quotes
0.0%
Threads
0.0%
With Media
21.7%
With Links
3.5%
With #Tags
87.5%
With @Mentions
7.0%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.38
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,451 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 228 retweets (16% 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 1,451 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 followersThe audience seems to be interested in interactive and community-based content, possibly involving challenges or events. The engagement suggests a younger, more active demographic.
Average
Audience Quality
28.3%
Suspicion Index
29.1%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
37.7%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
75.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
22.7%
<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.
15,713,287
Total Potential Reach
6
Median Follower Reach
27
75th Percentile Reach
1.0%
>1K followers
0.2%
>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).
33.3%
Creators
3,326 accounts
29.1%
Consumers
2,905 accounts
37.7%
Dormant
3,769 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):
6
Verified Followers
0.06% of total
882
Protected Accounts
8.82% of total
2 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 | 14,098,005 | Wrestler | Wrestling, Motivation, Self-promotion |
| @robtswthrayguns | 257,587 | Inventor | synthwave, NFT, NSFW |
| @jorcervan | 237,202 | Writer | Mythology, Self-discovery, Openness |
| @diguera | 103,104 | - | - |
| @isinhalr | 51,600 | Comunicadora | Comunicadora, Analista de software, Engenharia |
| @biasilvazz | 41,340 | Musician | Music, Fashion, Travel |
| @xeatfn | 35,745 | - | - |
| @teixeiramand | 34,588 | - | - |
| @emanueeelllee | 31,800 | - | - |
| @c__andradee | 31,209 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,453
Followers With Bio
3,547
Followers Without Bio
64.53%
% With Bio
35.47%
% 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 1,451 analyzed181,335
Combined Engagement
9,631
Total Likes
171,704
Total Retweets
36,267
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @FallGuysGame: Yooooo Alex just said he would delete the yellow team if we can get 1 million retweets 1 RT = 1 Millioneth of a delete https://t.co/3D9YqdPi3R
RT @TTfue: I only want things that don’t want me
LETS GOOOOOO finalmente PORRA https://t.co/eGUUR3GisF
RT @eikebatista: VC É UM VERDADEIRO LORD DAS TREVAS!!! É POR ISSO VC VAI LEVAR UM BLOQUEADO! TCHAU https://t.co/9fBqNEVJzX
Quero ver toda a rapaziada participando do No Fap Setember. Comente abaixo 👇🏻 se for participar e se não for também comente, ou terá 7 anos de azar, nao esquece de curtir o post
Key Insights & Takeaways
The account frequently uses calls to action to encourage participation and engagement. It promotes events or challenges, such as No Fap September, to boost interaction. The use of multimedia links suggests a focus on visual and interactive content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 79,308
- + 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 @pfzin reveals an well-established Twitter presence with 79,308 followers. The account demonstrates a conversation-first approach, averaging 254.5 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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