kikoo
6x grands @logitechg 97
60,015
Followers
550
Following
5,632
Tweets
177.6
Avg Engagement
30
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kikoofn'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:2019-08-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:175.0
- Avg Retweets per Tweet:2.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetskikoofn's tweets receive strong engagement, with an average of 4,260 likes and 191 retweets per post. This suggests a highly interactive and interested audience.
175.0
Avg Likes/Tweet
2.6
Avg Retweets/Tweet
568,752
Total Likes
8,480
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
63
Median Likes
0
Median Retweets
192
75th Percentile
6,196
Top Tweet
2.96
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
43.7%
Original
51.0%
Replies
2.6%
Retweets
2.7%
Quotes
0.0%
Threads
0.0%
With Media
21.0%
With Links
1.4%
With #Tags
58.6%
With @Mentions
12.7%
With Emojis
45
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
1.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 85 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 3,250 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 10,000 followersThe audience appears to be primarily interested in gaming, esports, and personal achievements. They engage with content that highlights both competitive and casual gaming experiences.
Average
Audience Quality
27.7%
Suspicion Index
31.1%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
39.1%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
24.2%
<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.
3,994,044
Total Potential Reach
9
Median Follower Reach
45
75th Percentile Reach
2.1%
>1K followers
0.3%
>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).
32.5%
Creators
3,249 accounts
28.4%
Consumers
2,842 accounts
39.1%
Dormant
3,909 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):
25
Verified Followers
0.25% of total
424
Protected Accounts
4.24% 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 |
|---|---|---|---|
| @aquaa | 695,674 | Professional Gamer | Fortnite, Competitive Gaming, Victory |
| @Slasher | 381,560 | Esports Consultant | esports, gaming, internet culture |
| @Edgeyy | 300,418 | Gamer | Fortnite, Gaming, Twitch |
| @AussieAntics | 267,145 | Content Creator | Gaming, Streaming, Content Creation |
| @x2twins | 221,085 | Professional Gamers | Fortnite, World Cup, Business |
| @MVG_Mew2King | 212,762 | Professional Gamer | Smash Bros, Gaming, Esports |
| @TSM_Commandment | 151,914 | Streamer | Twitch, Partner, Business |
| @MuzFN | 137,456 | Streamer | Fortnite, Streamer, YouTuber |
| @siilvaleonor | 96,849 | - | - |
| @KinchAnalytics | 48,383 | Fortnite Analyst | Fortnite, Analysis, Discord |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,189
Followers With Bio
3,811
Followers Without Bio
61.89%
% With Bio
38.11%
% 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 3,250 analyzed24,809
Combined Engagement
24,557
Total Likes
252
Total Retweets
4,962
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
12nd @Mongraal @Slenderftn https://t.co/cX7ooWWts8
15yo 😳
Joined @LootBoyEsports
https://t.co/PHXuCBrXHx
1st in FNCS SEMIS @Mongraal @Slenderftn https://t.co/F2K2MXaDoH
Key Insights & Takeaways
High follower count indicates a strong online presence and influence within gaming communities. Content often includes personal milestones and gaming achievements, which resonate well with the audience. Engagement metrics suggest a dedicated fanbase that actively participates in discussions and shares content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,015
- + 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 @kikoofn reveals an well-established Twitter presence with 60,015 followers. The account demonstrates a conversation-first approach, averaging 177.6 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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