178,610
Followers
289
Following
4,207
Tweets
1,329.8
Avg Engagement
52
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @King_Staccz'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:2014-05-20
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:2,987
- Avg Likes per Tweet:813.5
- Avg Retweets per Tweet:516.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,987 tweetsThe account's tweets consistently receive high engagement, indicating a strong and active follower base.
813.5
Avg Likes/Tweet
516.3
Avg Retweets/Tweet
2,430,011
Total Likes
1,542,160
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
1
Median Retweets
74
75th Percentile
601,684
Top Tweet
7.45
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
46.4%
Original
30.6%
Replies
20.3%
Retweets
2.7%
Quotes
0.0%
Threads
0.0%
With Media
26.0%
With Links
1.9%
With #Tags
48.0%
With @Mentions
15.9%
With Emojis
60
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,987 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 607 retweets (20% 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 2,987 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 interested in edgy, meme-based content and social commentary.
Average
Audience Quality
32.1%
Suspicion Index
46.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.8%
Empty Bio
53.0%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
62.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
38.9%
<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.
4,436,630
Total Potential Reach
3
Median Follower Reach
18
75th Percentile Reach
1.2%
>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).
24.0%
Creators
11,986 accounts
23.1%
Consumers
11,538 accounts
53.0%
Dormant
26,476 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):
395
Verified Followers
0.39% of total
9,977
Protected Accounts
9.88% 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 |
|---|---|---|---|
| @GeminiLovell3x1 | 364,436 | Adult Entertainer | Adult entertainment, modeling, social media |
| @TAYSTEVENS | 298,304 | Adult entertainer | Webcam, Model, Blonde |
| @RemarkableJamie | 287,383 | DJ | Vinyl mixing, festivals, sports |
| @ShakkaFernandez | 283,274 | Adult entertainer | exclusive content, updates, onlyfans |
| @LucyDevine2 | 160,884 | Model | Modeling, Traveling, Spirituality |
| @actuallykatedee | 129,748 | - | - |
| @SilvioGReal | 110,899 | Influencer | - |
| @DavidCastain | 107,892 | Academic | Forbes, Ph.D. Candidate, Kappa Alpha Psi |
| @siilvaleonor | 100,272 | - | - |
| @mevvybear | 90,638 | Influencer | Basketball, Bears, Roses |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,764
Followers With Bio
51,234
Followers Without Bio
49.27%
% With Bio
50.73%
% 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 2,987 analyzed1,518,035
Combined Engagement
587,929
Total Likes
930,106
Total Retweets
303,607
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @Twitter: You can have an edit button when everyone wears a mask
RT @Zendaya: https://t.co/gmVKyS660w
This nigga dream is ugly asf 😭 #dreamfacereveal https://t.co/16J0p1tJ96
Apple Music is for broke niggas
Kim k doesn’t like black ppl
Key Insights & Takeaways
The user frequently uses slang and informal language to connect with their audience. Content often includes controversial or provocative statements that spark discussion. There is a noticeable focus on pop culture and celebrity-related topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 178,610
- + Strong original content creation
- + 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 @King_Staccz reveals an exceptionally influential Twitter presence with 178,610 followers. The account demonstrates a content-creator strategy, averaging 1,329.8 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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