JUX
Ya no soy lo que era antes pero sigo esperando a ser lo que quiero ser. [email protected]
733,196
Followers
777
Following
7,879
Tweets
484.3
Avg Engagement
156
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alexjuxx'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:2011-08-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:350.2
- Avg Retweets per Tweet:134.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,221 tweetsTheir tweets receive moderate engagement, with an average of 5,750 likes and 1,050 retweets per tweet.
350.2
Avg Likes/Tweet
134.1
Avg Retweets/Tweet
1,128,109
Total Likes
431,841
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
99
Median Likes
11
Median Retweets
642
75th Percentile
61,039
Top Tweet
0.66
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
44.9%
Original
39.0%
Replies
10.8%
Retweets
5.4%
Quotes
0.0%
Threads
0.0%
With Media
20.3%
With Links
6.4%
With #Tags
54.6%
With @Mentions
10.2%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.87
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.0%
Weekday Posts
21.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 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 347 retweets (11% 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 3,221 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 followersTheir audience likely includes individuals interested in personal growth, self-expression, and alternative media like YouTube.
Average
Audience Quality
29.2%
Suspicion Index
36.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
42.3%
<10 Tweets
1.4%
Mass Following (>2K)
0.0%
New (<90 days)
68.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
29.5%
<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.
29,739,624
Total Potential Reach
6
Median Follower Reach
29
75th Percentile Reach
0.7%
>1K followers
0.1%
>10K followers
0.1%
>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).
34.4%
Creators
17,192 accounts
23.3%
Consumers
11,643 accounts
42.3%
Dormant
21,165 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):
31
Verified Followers
0.03% of total
6,641
Protected Accounts
6.58% 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 |
|---|---|---|---|
| @JohnCena | 14,105,156 | Wrestler | Wrestling, Motivation, Self-promotion |
| @amablitz | 2,994,894 | Streamer | Gaming, Streaming, Content Creation |
| @LadyCorico | 1,245,227 | Influencer | Fashion, Travel, Music |
| @MVRNoticias | 1,145,256 | News Outlet | News, Mexico, World |
| @mrpigmx | 1,090,253 | Musician | Music, NFTs, Cryptocurrency |
| @YayoGutierrez | 980,291 | Cineasta | horror movies, music, content creation |
| @MrFuckinItAll | 642,161 | Influencer | Publicidad, Negocios, Instagram |
| @levmauc | 509,575 | Cinephile | cine, series, podcast |
| @Moreno | 430,288 | Influencer | Business, Manager, Serious |
| @GabyMeza8 | 415,584 | Content Creator | Cine, YouTube, Radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,268
Followers With Bio
57,718
Followers Without Bio
42.85%
% With Bio
57.15%
% 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 3,221 analyzed184,711
Combined Engagement
0
Total Likes
184,711
Total Retweets
36,942
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/FJaW6L5ba0
RT @georainbolt: we’ve completed the internet. https://t.co/kw23EPXzMe
RT @Ashauri: Esto pasó ayer durante un alto en el centro de la CDMX. Una camioneta traía “La Chona” sonando a todo volumen lo que provocó q…
RT @AnimationVidz: https://t.co/45Xz2afN2e
RT @StrangestMedia: https://t.co/Qpg5NMlFe3
Key Insights & Takeaways
Their content often blends motivational and provocative messages, encouraging personal growth and self-expression. They emphasize the use of YouTube for various purposes, including communication and inspiration. Their bio reflects a journey of self-discovery and a desire to evolve.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 733,196
- + 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 @alexjuxx reveals an well-established Twitter presence with 733,196 followers. The account demonstrates a content-creator strategy, averaging 484.3 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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