Cloud9 CS:GO
Home of @Cloud9 Counter-Strike #IEM Dallas 2022 Champions @Ax1LeGOD @sh1rocsgo @HObbitcsgo @electronicCSGO @perfectocsgo #LegaC9
45,684
Followers
115
Following
2,295
Tweets
488.1
Avg Engagement
115
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @C9CSGO'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:2022-04-25
- Verification:Yes
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:372.5
- Avg Retweets per Tweet:115.7
- Followers Analyzed:33,139
Engagement Analysis
Based on 597 tweetsThe account has a high average engagement rate with likes and retweets, indicating strong interaction from followers. The content is well-received and often shared, contributing to its visibility.
372.5
Avg Likes/Tweet
115.7
Avg Retweets/Tweet
222,372
Total Likes
69,052
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
129
Median Likes
2
Median Retweets
326
75th Percentile
59,337
Top Tweet
10.69
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
45.2%
Original
40.9%
Replies
9.0%
Retweets
4.9%
Quotes
0.0%
Threads
0.3%
With Media
47.6%
With Links
17.9%
With #Tags
64.5%
With @Mentions
39.9%
With Emojis
66
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.9
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.3%
Weekday Posts
37.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 54 retweets (9% 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 597 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 33,139 followersThe primary audience consists of Counter-Strike fans and followers of Cloud9, including players and supporters. The audience is likely interested in team updates, player highlights, and competitive events.
Average
Audience Quality
24.7%
Suspicion Index
26.1%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
22.4%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.4%
No URL
14.7%
<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.
20,448,969
Total Potential Reach
19
Median Follower Reach
75
75th Percentile Reach
2.4%
>1K followers
0.4%
>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).
58.1%
Creators
19,267 accounts
19.5%
Consumers
6,448 accounts
22.4%
Dormant
7,424 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):
299
Verified Followers
0.9% of total
2,444
Protected Accounts
7.37% of total
4 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 |
|---|---|---|---|
| @CounterStrike | 1,701,197 | Gamer | Gaming, eSports, CS:GO |
| @FNATIC | 1,699,878 | Esports Organization | Esports, Performance, Gaming |
| @Cloud9 | 1,228,271 | Esports | Esports, Gaming, Competition |
| @ESLCS | 1,193,248 | Esports | Counter-Strike, Esports, Gaming |
| @CallMeCarsonYT | 1,106,288 | YouTuber | Gaming, Comedy, Memes |
| @CryptoGemsCom | 573,005 | - | - |
| @HLTVorg | 559,931 | Esports | Counter-Strike, Competitive Gaming, Esports |
| @FURIA | 533,247 | Esports Team | Esports, Performance, Lifestyle |
| @IEM | 420,551 | Esports | gaming, esports, Intel |
| @secretlabchairs | 403,036 | Gaming Chairs | Gaming, Comfort, Home |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,741
Followers With Bio
12,398
Followers Without Bio
62.59%
% With Bio
37.41%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 597 analyzed88,992
Combined Engagement
28,820
Total Likes
60,172
Total Retweets
17,798
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @CSGO: Today we're excited to announce Counter-Strike 2. Counter-Strike 2 is an overhaul to every system, every piece of content, and ev…
now you know https://t.co/87sSnBUaJg
Congratulations @interz and Anastasia 💙 https://t.co/2eMN1gpVk1
Any Diamond coiners? 🧐 https://t.co/DhZDjqpH0j
ON THIS DAY: @tarik became the first NA player to earn CS:GO Major MVP title #LegaC9 https://t.co/4awOdpYoWp
Key Insights & Takeaways
The account frequently shares links to external content, suggesting a focus on driving traffic or promoting specific posts. It highlights key players and team milestones, reinforcing brand loyalty and community pride. The use of verified players and team tags helps build credibility and authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 45,684
- + Strong original content creation
- + 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 @C9CSGO reveals an well-established Twitter presence with 45,684 followers. The account demonstrates a content-creator strategy, averaging 488.1 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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