JiNX Da Rebel
👻
49,395
Followers
227
Following
19,755
Tweets
423.3
Avg Engagement
45
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ITSS_JINX'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:2010-05-27
- Verification:No
- Location:Las Vegas, NV
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:1.0
- Avg Retweets per Tweet:422.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsThe account has an average of 86 likes and 6 retweets per tweet, indicating a moderate level of engagement. The interactions are mostly positive and casual.
1.0
Avg Likes/Tweet
422.3
Avg Retweets/Tweet
3,175
Total Likes
1,363,960
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
150,723
Top Tweet
8.57
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
82.6%
Original
7.1%
Replies
5.9%
Retweets
4.4%
Quotes
0.0%
Threads
0.3%
With Media
88.1%
With Links
1.3%
With #Tags
14.6%
With @Mentions
10.8%
With Emojis
80
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 190 retweets (6% 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 3,230 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 a mix of fans of hip-hop and pop culture, as well as fellow content creators. They seem to appreciate humor and relatable content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
100.0%
<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.
9,851,860
Total Potential Reach
4
Median Follower Reach
21
75th Percentile Reach
1.5%
>1K followers
0.5%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
726
Protected Accounts
7.26% of total
5 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 |
|---|---|---|---|
| @KameronBennett | 1,805,108 | DJ | Music, DJing, Booking |
| @JDaIey | 1,243,757 | - | - |
| @LeafyIsHere | 901,867 | YouTuber | Big Booty Bitches, Inquiries, UberCoffeeTime |
| @larrykim | 724,278 | Entrepreneur | Startups, AdWords, Chatbots |
| @dosomething | 674,415 | Activist | Inspiring, Empowering, Change |
| @HaHaDavis | 473,380 | Comedian | Comedy, Booking Inquiries |
| @WhoDontai | 317,283 | YouTuber | Gaming, Music, Comedy |
| @R3troSp3ctro | 281,024 | Multitalented | Actor, Creative director, Musician |
| @longbeachgriffy | 268,952 | - | - |
| @markbattles317 | 202,814 | Musician | Music, Quality Control, Independent |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,657
Followers With Bio
4,343
Followers Without Bio
56.57%
% With Bio
43.43%
% 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 3,230 analyzed549,078
Combined Engagement
0
Total Likes
549,078
Total Retweets
109,816
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @GavinNewsom: Abortion is legal in California. It will remain that way. I just signed a bill that makes our state a safe haven for women across the nation. We will not cooperate with any states that attempt to prosecute women or doctors for receiving or providing reproducti
RT @kendricklamar: Mr. Morale & The Big Steppers https://t.co/tLcJDyNxVe
RT @RockstarGames: A Message from Rockstar Games https://t.co/T4Wztu8RW8
RT @MarvelStudios: Marvel Studios welcomes you to The Multiverse Saga. https://t.co/HC1b747YPl
RT @elonmusk: YouTube seems to be nonstop scam ads
Key Insights & Takeaways
The user frequently engages with other creators and fans, fostering a sense of community. They often reference popular culture and hip-hop, which likely resonates with their audience. Their content is lighthearted and humorous, suggesting a focus on entertainment and relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 49,395
- + 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 @ITSS_JINX reveals an well-established Twitter presence with 49,395 followers. The account demonstrates a content-creator strategy, averaging 423.3 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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