justin fargo-p
2018 WORLD CHAMP |COACH|BIZ: [email protected] | AGENT: [email protected] | @DRINKCTRL @BATTLEBEAVER - CODE "SILLY" @fisher_esports
58,734
Followers
2,716
Following
54,118
Tweets
185.8
Avg Engagement
279
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @silly702'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:2014-10-21
- Verification:No
- Location:LAS/DAL
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:11.7
- Avg Retweets per Tweet:174.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsTheir tweets receive a significant number of likes and retweets, indicating a loyal and active audience. They frequently interact with followers and other accounts in the gaming space.
11.7
Avg Likes/Tweet
174.2
Avg Retweets/Tweet
37,842
Total Likes
565,600
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
9
75th Percentile
99,194
Top Tweet
3.16
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
15.7%
Original
69.4%
Replies
11.5%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
18.7%
With Links
3.2%
With #Tags
81.6%
With @Mentions
10.9%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.41
Reply/Original Ratio
0.29
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 3,247 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 372 retweets (11% 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 3,247 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 followersTheir audience likely includes gamers, esports enthusiasts, and industry professionals interested in competitive gaming and related ventures. They also engage with fans and fellow gamers through their tweets.
Average
Audience Quality
20.9%
Suspicion Index
24.0%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.7%
Empty Bio
21.1%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
51.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.0%
No URL
13.3%
<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.
22,161,802
Total Potential Reach
39
Median Follower Reach
165
75th Percentile Reach
6.5%
>1K followers
1.1%
>10K followers
0.3%
>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).
57.2%
Creators
5,721 accounts
21.6%
Consumers
2,165 accounts
21.1%
Dormant
2,114 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):
181
Verified Followers
1.81% of total
699
Protected Accounts
6.99% 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 | 14,075,068 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ModernWarzone | 799,613 | Gaming News | Gaming, Call of Duty, Warzone |
| @JessicaBlevins | 535,881 | Streamer | Gaming, Streaming, Management |
| @David_Leavitt | 350,638 | - | - |
| @JGODYT | 294,968 | Content Creator | Gaming, Content Creation, Esports |
| @ari_asteria | 228,520 | - | - |
| @lanche | 149,651 | Streamer | Gaming, Soccer, Streaming |
| @RealJtHolmes | 144,381 | Entrepreneur | Fashion, Music, Arizona |
| @Brparadox | 110,310 | - | - |
| @firstbloodio | 103,347 | Esports Platform | Esports, Tournaments, Leveling Up |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,531
Followers With Bio
3,469
Followers Without Bio
65.31%
% With Bio
34.69%
% 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 3,247 analyzed262,580
Combined Engagement
0
Total Likes
262,580
Total Retweets
52,516
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @FMAPerfectShots: Today is the only day you can retweet this https://t.co/k9lKbBCtMn
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
RT @scump: THANKS FOR EVERYTHING https://t.co/AiVYCvp9i3
RT @FroggerOW: The end of Overwatch 1. https://t.co/IhHjmVPZiW
RT @nox3Dartist: Finished my #pochita 3D animation! let's give him a lot of love ❤ #cinema4d #chainsawman https://t.co/Lm2ZdIofX9
Key Insights & Takeaways
They leverage their verified status and large following to promote their business and coaching ventures. Their content often blends personal experiences with industry commentary, creating a relatable and informative presence. They engage with both personal and professional accounts, expanding their network within the gaming and beverage sectors.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,734
- + 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 @silly702 reveals an well-established Twitter presence with 58,734 followers. The account demonstrates a conversation-first approach, averaging 185.8 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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