Slick
Twitch Partner 380k • Business Inquiries: [email protected]
203,894
Followers
785
Following
6,409
Tweets
1,133.1
Avg Engagement
35
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SlickTV_'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:2014-01-03
- Verification:No
- Location:Mexico
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:1,104.4
- Avg Retweets per Tweet:28.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,235 tweetsThe account has an average of 14,770 likes and 1,943 retweets per tweet, indicating high audience interaction.
1,104.4
Avg Likes/Tweet
28.7
Avg Retweets/Tweet
3,572,591
Total Likes
92,964
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
446
Median Likes
2
Median Retweets
1,401
75th Percentile
24,291
Top Tweet
5.56
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
47.3%
Original
47.7%
Replies
3.0%
Retweets
2.0%
Quotes
0.0%
Threads
0.0%
With Media
33.4%
With Links
0.9%
With #Tags
54.3%
With @Mentions
18.7%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.68
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 97 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 3,235 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 appears to be primarily interested in gaming, entertainment, and social media interactions.
Below Average
Audience Quality
39.4%
Suspicion Index
48.6%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.9%
Empty Bio
59.2%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
86.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
43.3%
<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.
42,072,964
Total Potential Reach
3
Median Follower Reach
18
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).
18.3%
Creators
9,164 accounts
22.4%
Consumers
11,213 accounts
59.2%
Dormant
29,623 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):
118
Verified Followers
0.12% of total
7,799
Protected Accounts
7.72% 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 |
|---|---|---|---|
| @JohnCena | 14,099,540 | Wrestler | Wrestling, Motivation, Self-promotion |
| @elmarianaa | 7,838,833 | Content Creator | Twitch, Content Creator, Partner |
| @amablitz | 3,012,821 | Streamer | Gaming, Streaming, Content Creation |
| @barcagameryt | 2,354,106 | Content Creator | Gaming, Esports, Streaming |
| @dedreviil | 2,177,170 | Gamer | Gaming, Esports, Energy Drinks |
| @Komanch | 1,969,483 | Influencer | Dogs, God, Pugs |
| @Zilverk | 1,741,314 | Streamer | VTUBER, NFTS, Twitch |
| @Roberto_Cein | 1,431,921 | Writer | Escritor, Sonrisas, Cositas en vivo |
| @rociodta | 1,070,710 | Twitch Streamer | Gaming, Content Creation, Pets |
| @xlightmoonx1 | 1,066,699 | Streamer | Gaming, Streaming, Contacto |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,016
Followers With Bio
50,981
Followers Without Bio
49.52%
% With Bio
50.48%
% 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 3,235 analyzed94,069
Combined Engagement
69,266
Total Likes
24,803
Total Retweets
18,814
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Todo un gallo el compa Jelty https://t.co/SvBfrGztnw
RT @NFTMTG: Metaverse supremacy is on the line when 10,000 gamers compete for a shot at glory!👑 With time against them, only the most skil…
. @RappiMexico como es posible que una pizza llegue así? https://t.co/JXpjeZFvZx
Todos: Jugando el torneo de @TheGrefg de su casa Jelty: https://t.co/ZjVF5UaxH0
Si Jelty, Criizux y Andy quedan top 1 le doy $20 a todos los que le den like y rt a este tweet
Key Insights & Takeaways
The content often features collaborations with other creators, which likely drives engagement. The use of URLs in tweets suggests a focus on driving traffic to external content or promotions. The account maintains a casual and relatable tone, which helps in building a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 203,894
- + 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 @SlickTV_ reveals an exceptionally influential Twitter presence with 203,894 followers. The account demonstrates a conversation-first approach, averaging 1,133.1 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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