autimatic
CS:GO Player for EG 🇺🇸 Business inquiries: [email protected]
158,205
Followers
736
Following
2,279
Tweets
461.0
Avg Engagement
354
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @autimaticTV'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:2014-12-11
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:2,207
- Avg Likes per Tweet:438.6
- Avg Retweets per Tweet:22.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,207 tweetsThe account has high engagement with an average of 11k likes and 682 retweets per tweet. Content that highlights team success and personal growth tends to perform well.
438.6
Avg Likes/Tweet
22.4
Avg Retweets/Tweet
968,063
Total Likes
49,389
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
1
Median Retweets
318
75th Percentile
23,675
Top Tweet
2.91
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
37.4%
Original
50.7%
Replies
9.1%
Retweets
2.8%
Quotes
0.0%
Threads
0.1%
With Media
21.1%
With Links
5.3%
With #Tags
76.4%
With @Mentions
9.2%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.35
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,207 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 201 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 2,207 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 followersThe audience primarily consists of gaming enthusiasts, especially those interested in CS:GO and Valorant. They are likely to be fans of EG and other esports teams.
Average
Audience Quality
26.7%
Suspicion Index
28.2%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
27.8%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
17.3%
<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.
43,292,159
Total Potential Reach
12
Median Follower Reach
47
75th Percentile Reach
1.9%
>1K followers
0.5%
>10K followers
0.2%
>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).
46.9%
Creators
23,445 accounts
25.3%
Consumers
12,651 accounts
27.8%
Dormant
13,904 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):
364
Verified Followers
0.36% of total
9,130
Protected Accounts
9.04% of total
6 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 | 14,100,857 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Tfue | 4,139,882 | Gamer | Gaming, Streaming, Esports |
| @Nadeshot | 2,971,992 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @Myth_ | 2,549,656 | Gamer | Gaming, Esports, Business |
| @TenZOfficial | 1,322,564 | Professional Gamer | VALORANT, Gaming, eSports |
| @H3CZ | 1,020,926 | Esports | esports, gaming, fishing |
| @ZachBoychuk | 828,618 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @KevinandTrevor | 696,681 | - | - |
| @ChapFN | 639,277 | Influencer | Business, Inquiries, Social Media |
| @EvilGeniuses | 597,792 | Esports | esports, excellence, dominance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,810
Followers With Bio
43,179
Followers Without Bio
57.24%
% With Bio
42.76%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,207 analyzed84,810
Combined Engagement
81,053
Total Likes
3,757
Total Retweets
16,962
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
https://t.co/w2vWne5OFu
WE FUCKING DID IT. Big props to all of my teammates for staying calm and playing hard. GGWP to @FaZeClan. WE WON BOYS
Happy to come back to my first love and excited for this new chapter in my life 🙏 https://t.co/26ZwfRgire
Took an extended break from Valorant to train in CS. I’m now ready to come back and conquer the leaderboards
https://t.co/BXbPU91dci
Key Insights & Takeaways
High engagement on victory announcements and team recognition posts Content about training and career progression resonates with followers The account effectively uses personal branding and team alignment to build credibility
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 158,205
- + 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 @autimaticTV reveals an well-established Twitter presence with 158,205 followers. The account demonstrates a conversation-first approach, averaging 461.0 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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