benjyfishy
valorant for @teamheretics contact - [email protected]
1,874,352
Followers
1,250
Following
13,093
Tweets
2,456.0
Avg Engagement
660
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @benjyfishy'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:2016-05-14
- Verification:No
- Location:@benjyfishy on all socials
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:2,418.9
- Avg Retweets per Tweet:37.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsHis tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement is driven by his gaming content and team-related updates.
2,418.9
Avg Likes/Tweet
37.1
Avg Retweets/Tweet
7,844,371
Total Likes
120,306
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
815
Median Likes
3
Median Retweets
3,203
75th Percentile
167,088
Top Tweet
1.31
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
33.7%
Original
59.1%
Replies
5.2%
Retweets
2.0%
Quotes
0.0%
Threads
0.1%
With Media
25.9%
With Links
1.2%
With #Tags
65.4%
With @Mentions
26.5%
With Emojis
48
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.75
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 169 retweets (5% 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 3,243 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 primarily consists of gaming enthusiasts and streamers interested in competitive play and team dynamics. They are likely to follow his updates and engage with his content regularly.
Average
Audience Quality
35.0%
Suspicion Index
46.1%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.1%
Empty Bio
57.0%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
72.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
39.1%
<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.
26,082,993
Total Potential Reach
3
Median Follower Reach
17
75th Percentile Reach
1.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
19.4%
Creators
9,718 accounts
23.6%
Consumers
11,795 accounts
57.0%
Dormant
28,487 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):
446
Verified Followers
0.44% of total
5,921
Protected Accounts
5.86% 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 |
|---|---|---|---|
| @Twitch | 9,925,767 | Social Media Manager | Gaming, Community, Support |
| @sapnap | 3,435,491 | YouTuber | Gaming, YouTube, Content creation |
| @shroud | 1,972,728 | Streamer | Gaming, Streaming, Esports |
| @LeBronJames | 1,005,401 | - | - |
| @VastGG | 825,131 | Marketing | Creators, Gaming, Giveaways |
| @NOH8Campaign | 801,970 | Activism | equality, bullying, discrimination |
| @JamesMarriottYT | 587,357 | YouTuber | music, videos, business |
| @Wolfiez | 562,689 | Professional Gamer | Fortnite, Gaming, Esports |
| @Scoped | 439,254 | Professional Gamer | Gaming, Team Liquid, Professional |
| @greg16676935420 | 428,381 | Investor | football, stocks, golf |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,747
Followers With Bio
49,250
Followers Without Bio
51.24%
% With Bio
48.76%
% 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 3,243 analyzed308,427
Combined Engagement
292,696
Total Likes
15,731
Total Retweets
61,685
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Quitting Competitive Fortnite https://t.co/w5onuB3hb8
1ST PLACE DUO DREAMHACK FINALS LETS FUCKING GOOOOOO!!!!!!!!!!!!! @MrSavage ($23K) https://t.co/IKNeoqzsc7
MMB https://t.co/qxVAJaat76
3 years ago today 👍😁👍 https://t.co/sPXhwMBiSf
18 WOOOO!!!!!!! 🥳🥳🥳
Key Insights & Takeaways
He focuses heavily on competitive gaming and team success, which drives his engagement. His content often includes highlights of major events and victories, which resonate with his audience. He maintains a professional and active presence on Twitter, which helps in building and retaining his follower base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,874,352
- + 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 @benjyfishy reveals an exceptionally influential Twitter presence with 1,874,352 followers. The account demonstrates a conversation-first approach, averaging 2,456.0 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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