Michael Stockley
commentator/streamer business: [email protected] @TheCSA https://www.facebook.com/unsupportedbrowser @GFuelEnergy use code kix
108,610
Followers
989
Following
4,846
Tweets
353.6
Avg Engagement
140
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KiXSTArTV'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:2014-02-24
- Verification:No
- Location:man i move around too much.
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:315.2
- Avg Retweets per Tweet:38.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsTheir tweets typically receive high engagement, with an average of 5,976 likes and 583 retweets, indicating a strong and active audience. The use of links and calls to action further boosts interaction.
315.2
Avg Likes/Tweet
38.4
Avg Retweets/Tweet
1,008,653
Total Likes
123,007
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
56
Median Likes
0
Median Retweets
356
75th Percentile
11,697
Top Tweet
3.26
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
21.0%
Original
67.3%
Replies
8.6%
Retweets
3.1%
Quotes
0.0%
Threads
0.1%
With Media
20.2%
With Links
5.2%
With #Tags
80.2%
With @Mentions
4.4%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.2
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 275 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 3,200 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 followersKiXSTArTV's audience primarily consists of gaming enthusiasts and streamers who appreciate commentary and personal stories. Their content resonates well with those interested in competitive gaming and community interactions.
Average
Audience Quality
23.1%
Suspicion Index
25.4%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.1%
Empty Bio
24.9%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
61.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.5%
No URL
15.8%
<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.
1,263,918
Total Potential Reach
15
Median Follower Reach
57
75th Percentile Reach
1.4%
>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).
51.1%
Creators
5,107 accounts
24.0%
Consumers
2,401 accounts
24.9%
Dormant
2,492 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):
47
Verified Followers
0.47% of total
903
Protected Accounts
9.03% 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 |
|---|---|---|---|
| @conquerer1 | 236,360 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @Zhvowa | 33,801 | - | - |
| @blakemoser | 28,433 | - | - |
| @IamChrisBaxter | 20,583 | - | - |
| @Anthony_Scalzi | 20,094 | - | - |
| @BEAC0NZ | 18,902 | - | - |
| @imviriofficial | 12,740 | - | - |
| @DRKN_OFFICIAL | 9,698 | - | - |
| @Shaurya477 | 9,220 | - | - |
| @RevoltRobbieYT | 9,039 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,492
Followers With Bio
3,508
Followers Without Bio
64.92%
% With Bio
35.08%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,200 analyzed45,016
Combined Engagement
16,224
Total Likes
28,792
Total Retweets
9,003
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @ESLCS: YOU CAN'T WIN #ESLPROLEAGUE LIKE THIS.... WHAT WHAT WHAT @caspercadiaN https://t.co/jU7uoPNqtB
Fallout 4 came out 6 years ago today WHY IS TIME ACCELERATING!?
ayo if you want to vote for me as color commentator of the year you can do that here: https://t.co/Fd7Hel3Gx6 Would be cool to win two years in a row, lets gooooo https://t.co/s2cVp0w6va
RT @Rainbow6Game: Prepare. Execute. Vanish. https://t.co/0euAyY1Vcf
RT @Rainbow6Game: 🌑 Look into your darkness https://t.co/ZRVelYqL7t
Key Insights & Takeaways
KiXSTArTV often uses personal anecdotes to connect with their audience, which helps build a sense of community and authenticity. They actively engage with their followers by encouraging participation, such as voting for color commentator of the year. Their content frequently touches on nostalgia and time perception, which can resonate emotionally with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 108,610
- + 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 @KiXSTArTV reveals an well-established Twitter presence with 108,610 followers. The account demonstrates a conversation-first approach, averaging 353.6 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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