Kamo
Twitch Streamer | Contact [email protected]
202,939
Followers
543
Following
9,557
Tweets
468.1
Avg Engagement
86
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KamoLRF'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:2014-07-31
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:456.2
- Avg Retweets per Tweet:11.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsKamoLRF's tweets receive high engagement, with an average of 6,908 likes and 810 retweets per tweet. His verified status is low, indicating a focus on organic growth and community interaction.
456.2
Avg Likes/Tweet
11.9
Avg Retweets/Tweet
1,479,966
Total Likes
38,475
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
120
Median Likes
0
Median Retweets
500
75th Percentile
16,341
Top Tweet
2.31
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
17.5%
Original
79.7%
Replies
2.0%
Retweets
0.9%
Quotes
0.0%
Threads
0.0%
With Media
14.5%
With Links
1.0%
With #Tags
82.5%
With @Mentions
20.2%
With Emojis
65
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.56
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 64 retweets (2% 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 3,244 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 competitive titles and streamer interactions. They engage with his content through likes and retweets, showing strong support for his gaming activities.
Below Average
Audience Quality
35.7%
Suspicion Index
42.6%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
56.0%
<10 Tweets
1.4%
Mass Following (>2K)
0.0%
New (<90 days)
82.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
38.4%
<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.
4,467,225
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
0.7%
>1K followers
0.1%
>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).
19.8%
Creators
9,922 accounts
24.2%
Consumers
12,103 accounts
56.0%
Dormant
27,975 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):
68
Verified Followers
0.07% of total
3,526
Protected Accounts
3.49% 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 |
|---|---|---|---|
| @ScufGaming | 1,461,014 | Gaming Company | Gaming, Performance, Controller |
| @DNPthree | 613,245 | Computer Engineer | Gamer, Veteran, Chief Technology Officer |
| @crr | 543,204 | Professional Gamer | Gaming, eSports, Sponsorships |
| @JannisZFN | 388,538 | Professional Gamer | Fortnite, Competitive Gaming, Business |
| @Cented7 | 364,308 | Gamer | Fortnite, FaZe Clan, Turtle Tavern |
| @llobeti4 | 321,824 | Unknown | N/A |
| @VadealFN | 312,142 | Professional Gamer | Fortnite, Gaming, Esports |
| @TwitchDE | 271,041 | Social Media Manager | Gaming, Streaming, Support |
| @conquerer1 | 237,320 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @SurgicalGoblin | 170,058 | Gamer | Clash Royale, World Champion, Team Liquid |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,838
Followers With Bio
47,160
Followers Without Bio
53.31%
% With Bio
46.69%
% 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 3,244 analyzed48,461
Combined Engagement
45,517
Total Likes
2,944
Total Retweets
9,692
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
46 kills lol i think now i got the world record https://t.co/jLKQ8n12WB
Issa x Kamo duo comeback Read: https://t.co/TmBJMHz7rX
free win https://t.co/28ww8o8Jug
@aquaa aqua loves LRF
@issa Kamo is my daddy
Key Insights & Takeaways
His top tweets often include gaming achievements and links to streams or promotions. Collaborations with other streamers, like Issa x Kamo, are highlighted in his content. He uses Twitter to promote free wins and engage with his fanbase directly.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 202,939
- + 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 @KamoLRF reveals an well-established Twitter presence with 202,939 followers. The account demonstrates a conversation-first approach, averaging 468.1 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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