Falcon TaySon
5x fncs winner 🇸🇮@FalconsEsport $1M+ earned Business inquiries: [email protected] / [email protected] @realmadrid
520,993
Followers
1,213
Following
5,549
Tweets
1,734.7
Avg Engagement
270
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @taysonFN'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:2018-11-03
- Verification:No
- Location:www.instagram.com/taysonfn_/
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:1,710.9
- Avg Retweets per Tweet:23.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsTaysonFN's tweets receive high engagement, with an average of 28,880 likes and 1,012 retweets per post. His content is well-received and often shared within the gaming community.
1,710.9
Avg Likes/Tweet
23.8
Avg Retweets/Tweet
5,555,361
Total Likes
77,288
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
698
Median Likes
2
Median Retweets
2,292
75th Percentile
67,989
Top Tweet
3.33
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
38.3%
Original
57.0%
Replies
3.3%
Retweets
1.4%
Quotes
0.0%
Threads
0.0%
With Media
24.0%
With Links
2.3%
With #Tags
66.6%
With @Mentions
6.9%
With Emojis
52
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.49
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.6%
Weekday Posts
32.4%
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 107 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 3,247 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 50,000 followersHis audience primarily consists of Fortnite enthusiasts and gamers interested in competitive play. The audience is likely young and male, with a strong interest in gaming and esports.
Average
Audience Quality
31.8%
Suspicion Index
39.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.8%
Empty Bio
50.5%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
70.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
33.3%
<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.
9,297,614
Total Potential Reach
4
Median Follower Reach
20
75th Percentile Reach
1.6%
>1K followers
0.2%
>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).
22.5%
Creators
11,234 accounts
27.0%
Consumers
13,514 accounts
50.5%
Dormant
25,252 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):
243
Verified Followers
0.24% of total
5,578
Protected Accounts
5.52% 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 |
|---|---|---|---|
| @Lazarbeam | 2,491,556 | YouTuber | Gaming, Comedy, YouTube |
| @LeBronJames | 1,005,136 | - | - |
| @aquaa | 699,166 | Professional Gamer | Fortnite, Competitive Gaming, Victory |
| @kennyS_ | 608,552 | Professional Gamer | CS:GO, eSports, Gaming |
| @SlimJim | 492,546 | Snack Influencer | meat, long boi, champions |
| @madeintyo | 403,722 | Rapper | Music, Tokyo, Yokohama |
| @zammit_marc | 387,873 | Filmmaker | Film, Acting, Producing |
| @NBK | 276,156 | Professional Gamer | Gaming, eSports, Merchandise |
| @emmyuh | 252,552 | Student | cupkatez, iiiijulia, loser |
| @conquerer1 | 237,641 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,616
Followers With Bio
43,381
Followers Without Bio
57.05%
% With Bio
42.95%
% 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 analyzed194,531
Combined Engagement
188,144
Total Likes
6,387
Total Retweets
38,906
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
1ST PLACE SOLO ALL-STAR FINALS ($150,000) https://t.co/67koOHzpIF
1st place GRAND ROYALE LETS FCKING GOOOO ($600.000) @hentvv @ChapixFN love u boys best teammates 4 fcking times bro 4 fcking times https://t.co/mgPUN7HYPo
BACK TO BACK FNCS CHAMPION LETS GOOOOO 🏆 https://t.co/HeZ1s14eeo
alexa play we did it again
omg
Key Insights & Takeaways
He frequently shares his major tournament wins and earnings, which highlights his success and credibility in the gaming world. His tweets often include links to his Twitch stream and collaborations with other streamers, indicating a focus on community and content creation. He uses a casual and energetic tone, which resonates well with his audience and encourages interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 520,993
- + 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 @taysonFN reveals an exceptionally influential Twitter presence with 520,993 followers. The account demonstrates a conversation-first approach, averaging 1,734.7 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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