kennyS
Content creator & professional CS:GO player for @FalconsEsport ✉️ : [email protected]
629,657
Followers
1,018
Following
12,821
Tweets
649.9
Avg Engagement
1,096
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kennyS_'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:2012-12-27
- Verification:No
- Location:France
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:617.7
- Avg Retweets per Tweet:32.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive a high average number of likes and retweets, indicating strong audience interaction. He frequently collaborates with other creators, which boosts engagement.
617.7
Avg Likes/Tweet
32.2
Avg Retweets/Tweet
2,006,410
Total Likes
104,477
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
98
Median Likes
1
Median Retweets
456
75th Percentile
41,863
Top Tweet
1.03
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
17.9%
Original
68.9%
Replies
7.5%
Retweets
5.7%
Quotes
0.0%
Threads
0.1%
With Media
23.1%
With Links
4.3%
With #Tags
86.1%
With @Mentions
35.0%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.85
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 242 retweets (7% 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 3,248 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 is primarily interested in gaming, particularly CS:GO, and content creation. They are likely to be fans of competitive gaming and esports.
Below Average
Audience Quality
36.1%
Suspicion Index
50.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.1%
Empty Bio
55.7%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
77.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
42.4%
<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.
10,035,211
Total Potential Reach
3
Median Follower Reach
14
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).
24.9%
Creators
12,451 accounts
19.4%
Consumers
9,711 accounts
55.7%
Dormant
27,838 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):
327
Verified Followers
0.32% of total
8,287
Protected Accounts
8.21% 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 |
|---|---|---|---|
| @TheGrefg | 7,775,539 | Content Creator | Gaming, Content Creation, Esports |
| @Pamaj | 1,202,555 | Gamer | Gaming, Content Creation, FaZe Clan |
| @Kammeto | 947,265 | Gamer | Gaming, Esports, Content creation |
| @PapoMcArg | 870,727 | Rapper | Music, Rap, Contact |
| @taysonFN | 515,386 | Professional Gamer | Fortnite, eSports, Competitive gaming |
| @anomalyxd | 507,661 | Entrepreneur | gaming, merchandise, skins |
| @RickyEdit | 452,716 | Editor | Gaming, Media, Clan |
| @DobbyElfe_ | 423,651 | Associate | Gaming, Influencer, Entrepreneur |
| @keydropcom | 418,073 | Gaming Influencer | CS:GO skins, daily cases, free cases |
| @_sccpnews | 409,211 | Sports News | Sport, Corinthians, Paulista |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,197
Followers With Bio
53,800
Followers Without Bio
46.73%
% With Bio
53.27%
% 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 3,248 analyzed143,182
Combined Engagement
138,543
Total Likes
4,639
Total Retweets
28,636
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Witch https://t.co/fwYBGbgj9T
https://t.co/zCqv9meBfo
As the new CEO I’m announcing my return in the active roster https://t.co/lr3YpsSqVP
ok @imperialesports in final lez go, respect 😲 #PGLMajor
Hi https://t.co/6VEvNH1rhW
Key Insights & Takeaways
He leverages his professional gaming background to build credibility and attract a dedicated fanbase. Collaborations with other influencers, such as Imperialesports, help increase visibility and engagement. His content often includes game highlights and event-related posts, which resonate well with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 629,657
- + 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 @kennyS_ reveals an well-established Twitter presence with 629,657 followers. The account demonstrates a conversation-first approach, averaging 649.9 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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