RECYCLED J
CRUEL 🩸15/09 PRESAVE
105,759
Followers
11,238
Tweets
1,506.7
Avg Engagement
59
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Recycled_J'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:2011-01-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:1,305.1
- Avg Retweets per Tweet:201.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsRecycled_J's tweets receive high average likes and retweets, indicating strong audience interaction. The engagement suggests a loyal and active fan base.
1,305.1
Avg Likes/Tweet
201.6
Avg Retweets/Tweet
781,766
Total Likes
120,769
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
637
Median Likes
56
Median Retweets
2,043
75th Percentile
20,268
Top Tweet
14.25
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
78.1%
Original
6.7%
Replies
15.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
60.6%
With Links
7.7%
With #Tags
29.4%
With @Mentions
34.4%
With Emojis
76
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 91 retweets (15% 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 599 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 music, personal narratives, and emotional storytelling. They engage with content that resonates on a personal and artistic level.
Good
Audience Quality
10.7%
Suspicion Index
19.0%
Low-Quality %
84
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.8%
Empty Bio
11.4%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
19.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.7%
No URL
7.3%
<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.
20,564,254
Total Potential Reach
84
Median Follower Reach
222
75th Percentile Reach
2.6%
>1K followers
0.2%
>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).
73.9%
Creators
36,970 accounts
14.7%
Consumers
7,349 accounts
11.4%
Dormant
5,681 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):
114
Verified Followers
0.11% of total
12,893
Protected Accounts
12.77% of total
7 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 |
|---|---|---|---|
| @miguelhotero | 1,927,631 | Journalist | Politics, Journalism, Leadership |
| @Los40 | 1,577,647 | Music Media | Music, Community, Spain |
| @estopaoficial | 1,011,634 | Musician | music, Estopa, FUEGO |
| @chutyvk | 567,269 | Rapper | Music, Business, Graduation |
| @IamMzilikazi | 540,103 | Musician | Pan-African music, Album, Rise |
| @alexdelaIglesia | 509,750 | Director | 30 coins |
| @lolaindigomusic | 469,992 | - | - |
| @urbanroosters | 409,484 | Entertainment | Music, Battles, Culture |
| @jaimelorente | 348,781 | - | - |
| @Spursito | 340,514 | Sports Blogger | Soccer, Spurs, Fan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,868
Followers With Bio
32,131
Followers Without Bio
68.19%
% With Bio
31.81%
% 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 599 analyzed67,163
Combined Engagement
56,290
Total Likes
10,873
Total Retweets
13,433
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Y si hablo es porque debo utilizar el altavoz que tengo para algo más que para anunciar el puto presave de mi nuevo tema. Ha muerto un chaval y la policía ha estado cargando n argüelles, no es momento de entrar n estas discusiones. Pero lo que si que no hay que hacer es callarse.
juntos en las malas y las buenas
Como aquella foto nuestra en el fondo del cajón...
Esta noche pasan cosas https://t.co/nQG0ILC16q
juntos en las malas y las buenas https://t.co/1XWQ4U5bTZ
Key Insights & Takeaways
Their content often blends personal and artistic themes, which likely drives engagement. The use of emotional and raw language connects with followers on a deeper level. Their focus on a new track and personal stories suggests a strategic approach to content creation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 105,759
- + 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 @Recycled_J reveals an exceptionally influential Twitter presence with 105,759 followers. The account demonstrates a content-creator strategy, averaging 1,506.7 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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