kenny
Creator of Moonshot™ | Master of the House #MoonieGang
58,086
Followers
1,306
Following
38,804
Tweets
550.5
Avg Engagement
477
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kiiLkenny'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:2011-10-29
- Verification:No
- Location:Sea Isle City, NJ
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:38.5
- Avg Retweets per Tweet:512.1
- Followers Analyzed:45,987
Engagement Analysis
Based on 3,236 tweetsTheir tweets typically receive high engagement, with an average of 4,211 likes and 496 retweets, indicating a strong and active community. The use of links and multimedia enhances interaction and reach.
38.5
Avg Likes/Tweet
512.1
Avg Retweets/Tweet
124,465
Total Likes
1,657,070
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
45
75th Percentile
226,408
Top Tweet
9.48
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
19.8%
Original
26.0%
Replies
42.7%
Retweets
11.5%
Quotes
0.0%
Threads
0.1%
With Media
52.9%
With Links
8.1%
With #Tags
72.3%
With @Mentions
22.6%
With Emojis
103
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.31
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 1,383 retweets (43% 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 3,236 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 45,987 followerskiiLkenny's audience appears to be diverse, drawn to their unique blend of humor, shock value, and emotional content. They likely attract younger, internet-savvy users who enjoy viral and meme culture.
Good
Audience Quality
12.6%
Suspicion Index
21.1%
Low-Quality %
156
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
8.3%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
22.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
4.8%
<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.
55,966,158
Total Potential Reach
156
Median Follower Reach
423
75th Percentile Reach
8.7%
>1K followers
0.7%
>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).
78.9%
Creators
36,267 accounts
12.8%
Consumers
5,885 accounts
8.3%
Dormant
3,835 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):
116
Verified Followers
0.25% of total
6,798
Protected Accounts
14.78% of total
8 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 | 14,106,773 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,247 | - | - |
| @darrenrovell | 1,988,702 | Sports Reporter | Sports Betting, Memorabilia, NFTs |
| @glennbeck | 1,664,186 | Journalist | Politics, News, Commentary |
| @LeBronJames | 1,006,966 | - | - |
| @ZachBoychuk | 831,228 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @solalexasch | 677,709 | Musician | Music, Travel, Tattoos |
| @zammit_marc | 388,216 | Filmmaker | Film, Acting, Producing |
| @dmorey | 303,913 | Basketball Executive | Basketball, Analytics, Leadership |
| @KingJosiah54 | 263,420 | Content Creator | Netflix, Fubo, Wave TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,781
Followers With Bio
17,206
Followers Without Bio
62.59%
% With Bio
37.41%
% 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 3,236 analyzed542,485
Combined Engagement
0
Total Likes
542,485
Total Retweets
108,497
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: https://t.co/rbwbsLA1ZG
RT @elonmusk: Here we go!! 🍿🍿 https://t.co/eILK9f3bAm
RT @bariweiss: THREAD: THE TWITTER FILES PART TWO. TWITTER’S SECRET BLACKLISTS.
RT @PistolRick: Just downloaded Hogwarts Legacy https://t.co/MJqH86V5V2
RT @atdanwhite: This is why I drive a Toyota. https://t.co/1PA0HskjNc
Key Insights & Takeaways
High engagement suggests a loyal and active fanbase Content often includes emotional and shocking reactions Use of links and multimedia enhances tweet visibility and interaction
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,086
- + 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 @kiiLkenny reveals an well-established Twitter presence with 58,086 followers. The account demonstrates a conversation-first approach, averaging 550.5 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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